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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1664340</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Gold nanoparticles in the diagnosis and treatment of ovarian and cervical cancers: a comprehensive understanding</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Senhui</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Tong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Deshuo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Hengmei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2178364/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Hou</surname>
<given-names>Huyang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fu</surname>
<given-names>Ziyi</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Shi</surname>
<given-names>Xiaoyan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3131377/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Obstetrics and Gynecology, Women&#x2019;s Hospital of Nanjing Medical University, Nanjing Women and Children&#x2019;s Healthcare Hospital</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Breast Cancer Center, Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital &amp; Jiangsu Institute of Cancer Research</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1238125/overview">Violante Di Donato</ext-link>, Unitelma Sapienza University, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3137062/overview">Mutia Kehwalla Aza</ext-link>, The Johns Hopkins University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3142308/overview">Zahra Sadat Dastgheib</ext-link>, Shiraz University of Medical Sciences, Iran</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xiaoyan Shi, <email xlink:href="mailto:shixy019@sina.com">shixy019@sina.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1664340</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Zhang, Li, Jiang, Shi, Hou, Fu and Shi.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Zhang, Li, Jiang, Shi, Hou, Fu and Shi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Cervical and ovarian cancers pose a significant global threat to women&#x2019;s health. Despite substantial medical advances in recent decades, gynecological malignancies remain a leading cause of female mortality, constrained by factors such as multidrug resistance, treatment toxicity, asymptomatic presentation in early stages, and genetic heterogeneity. Gold nanoparticles (AuNPs), leveraging their exceptional biocompatibility and multifunctional capabilities, demonstrate considerable potential across diverse fields including bioimaging, liquid biopsy, photothermal therapy, and targeted chemotherapy, thereby advancing precision oncology. Accordingly, this review synthesizes and analyzes the emerging applications of AuNPs in gynecological tumors over the past five years. Moving beyond superficial descriptions of functional features often limited in previous reviews, it places greater emphasis on elucidating the intrinsic relationships and mechanisms between functions from the perspective of their physicochemical properties. It further highlights the critical importance of AuNPs for constructing integrated diagnostic and therapeutic platforms. Simultaneously, this review provides a balanced examination of the challenges hindering the clinical translation of AuNPs and offers insights and perspectives on addressing these issues. It is anticipated that AuNPs may evolve into highly effective diagnostic and therapeutic strategies in the future.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<graphic xlink:href="fonc-15-1664340-g000.tif" position="anchor">
<alt-text content-type="machine-generated">Diagram illustrating diagnosis and treatment strategies for ovarian and cervical cancer. The diagnosis section shows methods like colorimetric, CT/PET-CT, electrical biosensors, and SERS detection, utilizing surface-functionalized AuNPs. Samples such as serum and cervical smear are analyzed for tumor biomarkers and HPV viruses. The treatment section details strategies employing AuNPs for drug delivery, utilizing inherent toxicity, photothermal therapy, photochemotherapy, and enhancing radiotherapy effectiveness. The diagram emphasizes a synergetic approach in treatment.</alt-text>
</graphic>
</p>
</abstract>
<kwd-group>
<kwd>gynecological malignant tumors</kwd>
<kwd>cervical cancer</kwd>
<kwd>ovarian cancer</kwd>
<kwd>nanotechnology</kwd>
<kwd>gold nanoparticles</kwd>
<kwd>diagnosis</kwd>
<kwd>treatment</kwd>
</kwd-group>
<counts>
<fig-count count="11"/>
<table-count count="6"/>
<equation-count count="0"/>
<ref-count count="162"/>
<page-count count="27"/>
<word-count count="9381"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Gynecological Oncology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Cervical and ovarian cancers represent the most lethal gynecological malignancies, each posing distinct clinical challenges. HPV infection constitutes the primary etiological factor for most cervical carcinomas, thus establishing HPV testing as critical for early screening (<xref ref-type="bibr" rid="B1">1</xref>). Organized screening and HPV vaccination provide key prevention strategies, especially in developing nations (<xref ref-type="bibr" rid="B2">2</xref>). The protracted asymptomatic latency spanning decades from cervical intraepithelial neoplasia to invasive carcinoma creates significant fertility preservation challenges for reproductive-aged patients, given that radical hysterectomy remain primary therapeutic options (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Ovarian cancer demonstrates the highest aggressiveness among gynecological malignancies, with its characteristically asymptomatic early-stage presentation resulting in fewer than 50% of patients surviving beyond five years post-diagnosis (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Molecular heterogeneity, intrinsic chemoresistance, and rapid metastatic dissemination collectively contribute to its elevated mortality (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Conventional strategies lack early precision and fail to prevent multidrug resistance, necessitating advanced approaches (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). With advancements in oncology, nanotechnology has emerged as a promising frontier (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). Therapeutically, multifunctional nanoparticle-based drug delivery platforms enable cancer cell-specific targeting while sparing healthy tissues, thereby reducing systemic drug exposure, minimizing toxicity, and delaying resistance emergence (<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). Diagnostically, nanoparticles enhance tumor biomarker detection sensitivity, facilitating earlier clinical intervention (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Among diverse nanomaterials, gold nanoparticles (AuNPs) stand out due to exceptional biocompatibility and their defining optical property (<xref ref-type="bibr" rid="B17">17</xref>). AuNPs are synthesized through established methods including the Turkevich citrate reduction, biological synthesis using plant/microbial extracts, and physical approaches like laser ablation, enabling precise control over size, morphology, and surface functionalization for biomedical applications (<xref ref-type="bibr" rid="B18">18</xref>). Localized Surface Plasmon Resonance (LSPR) arises from collective electron oscillations, generating intense, tunable absorption/scattering for colorimetric sensing and enabling Surface-enhanced Raman scattering (SERS) via electromagnetic &#x201c;hot spots&#x201d; for trace analyte detection (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). Critically, LSPR drives efficient light-to-energy conversion, underpinning AuNPs&#x2019; efficacy as potent photothermal agents and photosensitizers in photothermal therapy (PTT) and photodynamic therapy (PDT) (<xref ref-type="bibr" rid="B21">21</xref>). As the morphology progressively evolves, AuNPs&#x2019; amplified surface-area-to-volume ratio enhances biomolecular interactions, while exceptional electrical conductivity (&gt;10<sup>5</sup> S/m for 20-nm particles) facilitates ultrasensitive detection (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). LSPR &#x201c;hot spots&#x201d; also modulate fluorescence and enable fluorescence resonance energy transfer (FRET) (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>AuNPs&#x2019; surfaces are readily functionalized via covalent conjugation, biomolecular assembly, or polymeric encapsulation (e.g., thiol anchoring, amide bonds, click chemistry, electrostatic adsorption) to confer targeting specificity, colloidal stability, and multifunctionality (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). This enables active targeting (antibodies/peptides/aptamers) (<xref ref-type="bibr" rid="B27">27</xref>) or passive magnetic guidance (Fe<sub>3</sub>O<sub>4</sub> composites) (<xref ref-type="bibr" rid="B28">28</xref>), allowing their use as multimodal contrast agents (MRI/X-ray/OCT) (<xref ref-type="bibr" rid="B29">29</xref>). Furthermore, AuNPs exhibit distinct catalytic activity in redox reactions, enabling applications in electrochemical biosensors (<xref ref-type="bibr" rid="B30">30</xref>). Collectively, these physicochemical properties underpin AuNPs&#x2019; transformative potential in diagnosing and treating gynecological malignancies.</p>
<p>Collectively, AuNPs represent a pivotal milestone in precision medicine, offering transformative potential for timely cancer intervention. The following sections detail the application of AuNPs, critically evaluating their contributions to diagnosing and treating gynecological malignancies to establish a reference framework for clinical practice.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>AuNPs in cervical cancer</title>
<sec id="s2_1">
<label>2.1</label>
<title>Diagnosis</title>
<sec id="s2_1_1">
<label>2.1.1</label>
<title>Colorimetric detection utilizing AuNPs</title>
<p>Functionalized AuNPs undergo LSPR peak shifts and visible color changes upon binding target molecules. AuNPs-based colorimetric assays thus exploit this phenomenon to assess levels of cervical cancer biomarkers through readily observable color transitions (<xref ref-type="bibr" rid="B31">31</xref>). microRNA-378 is consistently dysregulated in cervical cancer. Run and colleagues developed a colorimetric assay using catalytic hairpin assembly (CHA) and AuNPs for its detection (<xref ref-type="bibr" rid="B31">31</xref>). Target miRNA-378 triggers CHA between two hairpin probes, generating polymeric products. Multiple polyadenine blocks on these products adsorb and cross-link AuNPs (~13nm, Citrate-reduced) under acidic conditions, inducing aggregation. This shifts the LSPR, causing a visible color change from red to purple (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B31">31</xref>). The assay leverages nucleic acid hybridization specificity, offering operational simplicity, high sensitivity, and strong specificity, with a LOD of 20.7 pM (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Schematic diagram of the detection process of smiRNA378 by colorimetric method based on AuNP design (<xref ref-type="bibr" rid="B31">31</xref>).(copyright permission obtained).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating a DNA-based catalytic hairpin assembly (CHA) mechanism involving hairpin structures HP1 and HP2. In the presence of microRNA (miRNA), DNA forms complexes, influencing aggregation behavior. At low pH, reactions lead to sphere formation, depicted as purple circles on the right, and orange spheres on the left with no miRNA. Arrows indicate the flow and interaction of molecules.</alt-text>
</graphic>
</fig>
<p>Motivated by the high cost of target-specific AuNP functionalization, label-free C-ColAur was developed as an alternative (<xref ref-type="bibr" rid="B32">32</xref>). Label-free C-ColAur is a nonspecific detection method leveraging AuNPs color shifts from LSPR. Target binding protects AuNPs from salt-induced aggregation, enabling rapid on-site pathogen screening via visible color changes, particularly in resource-limited settings (<xref ref-type="bibr" rid="B32">32</xref>). Applied to cervicovaginal fluid, it shows distinct color changes: AuNPs turn blue in healthy samples but remain unchanged in cancer samples, achieving high diagnostic accuracy (96% sensitivity, 87% specificity; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>) (<xref ref-type="bibr" rid="B33">33</xref>). Transmission Electron Microscope (TEM) revealed significantly larger AuNP diameters (250~400nm, Citrate-reduced, Quasi-Spherical) in patients versus controls (15~30nm, Citrate-reduced, Quasi-Spherical), with reduced particle numbers and absence of aggregation in cancer samples (<xref ref-type="bibr" rid="B33">33</xref>). Tejaswini et&#xa0;al. proposed that cancer cell membrane components induce aggregation (<xref ref-type="bibr" rid="B34">34</xref>). Experimental validation confirmed that synthetic lipids, but not proteins or lipid-protein mixtures, replicated the color or spectral shift when reacted with HAuCl<sub>4</sub>&#xb7;3H<sub>2</sub>O and ascorbic acid, indicating lipid-specific organization drives the mechanism (<xref ref-type="bibr" rid="B34">34</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Schematic showing the colorimetric detection of cervical cancer using the label-free &#x201c;C-ColAur&#x201d; technique (<xref ref-type="bibr" rid="B33">33</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g002.tif">
<alt-text content-type="machine-generated">Diagram showing the process of in-situ formation of gold nanoparticles for colorimetric detection of cervical cancer. It compares a blank sample with pink spheres, a control with blue clusters, and a test with gray circles representing cervical fluid. The term &#x201c;C-CoIAur&#x201d; is labeled alongside a figure representing a female, indicating the source of the cervical fluid samples used in the test for cancerous versus healthy samples.</alt-text>
</graphic>
</fig>
<p>HR-HPV is the primary cause of cervical cancer. Conventional detection (qPCR, isothermal amplification, dot blot) faces limitations including contamination risk, incomplete subtyping, and high cost (<xref ref-type="bibr" rid="B35">35</xref>). AuNP-based colorimetric assays (57.7 &#xb1; 4.2nm, Citrate-reduced, Quasi-spherical with dendritic protrusions) enable instrument-free, visual or smartphone-based readout of HPV-16/18, permitting quantitative results acquisition by untrained personnel without specialized equipmen (<xref ref-type="bibr" rid="B36">36</xref>). Carlos conjugated AuNPs (21.6 &#xb1; 0.1nm, Turkevich) with anti-HPV-16/18 L1 antibodies (<xref ref-type="bibr" rid="B37">37</xref>). Applied to 173 cervical samples, infection caused a color shift(red to purple) and LSPR red-shift (523~525 nm to 524~590 nm) (<xref ref-type="bibr" rid="B37">37</xref>). The assay detected HPV-16 L1 (linear range: 0.4~2.0&#x3bc;g/mL, LOD: 0.18&#x3bc;g/mL) and HPV-18 L1 (0.2~1.2&#x3bc;g/mL), identifying PCR-missed variants potentially via conserved L1 epitope recognition (<xref ref-type="bibr" rid="B37">37</xref>). To expand coverage, Jixue and team developed a multiplexed closed-tube PCR, detecting 17 HPV types (LOD: 0.5copies/&#x3bc;L, linear range: 0~1000copies/&#x3bc;L) with 99.05% accuracy (<xref ref-type="bibr" rid="B38">38</xref>).</p>
</sec>
<sec id="s2_1_2">
<label>2.1.2</label>
<title>AuNPs-engineered electrochemical biosensors</title>
<p>Colorimetry lacks micro-scale sensitivity. Electrochemical biosensors convert biorecognition events to electrical signals (<xref ref-type="bibr" rid="B39">39</xref>). CEA, SCCA, Ki67, p53, and p16<sup>INK4a</sup> are key cervical cancer biomarkers (<xref ref-type="bibr" rid="B35">35</xref>). Antibody-conjugated AuNPs enable their multiplexed detection. Electrochemical sensors universally use: 1) conductive substrates (Pt/Co/MoS<sub>2</sub>/WS<sub>2</sub>/rGO) to amplify AuNPs signals, and 2) engineered porous architectures (SiO<sub>2</sub> dendrimers, multilayered nanoparticles, 3D networks) to enhance target capture and conductivity (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) (<xref ref-type="bibr" rid="B40">40</xref>&#x2013;<xref ref-type="bibr" rid="B42">42</xref>). These AuNPs-centered platforms show diagnostic promise (<xref ref-type="bibr" rid="B40">40</xref>). In a recent study, Hiranmoy et&#xa0;al. developed an ultrasensitive electrochemical immunosensor for cervical cancer biomarker p16<sup>INK4a</sup> detection by modifying a glassy carbon electrode through sequential deposition of graphene oxide and ~70nm spherical AuNPs (<xref ref-type="bibr" rid="B43">43</xref>). The sensor utilized cysteamine-glutaraldehyde crosslinking to immobilize p16<sup>INK4a</sup> monoclonal antibodies on the electrode surface (<xref ref-type="bibr" rid="B43">43</xref>). Compared to bare electrodes, Au/rGO-modified electrodes exhibited significantly enhanced peak currents with charge transfer resistance (Rct) reduced from 245 &#x3a9; to 14 &#x3a9;, demonstrating AuNPs&#x2019; capacity to facilitate electron transfer. Clinical serum analysis via square wave voltammetry achieved 100% accuracy with a detection limit of 167 fg/mL and linear range from 500 fg/mL to 100 ng/mL (<xref ref-type="bibr" rid="B43">43</xref>). The AuNP-engineered sensor demonstrated exceptional selectivity, storage stability, repeatability, reproducibility and regeneration capability.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Research on the detection of serum tumor markers.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">No</th>
<th valign="middle" align="left">Particle size</th>
<th valign="middle" align="left">Targe</th>
<th valign="middle" align="left">Surface functionalization</th>
<th valign="middle" align="left">Highlights of Study</th>
<th valign="middle" align="left">Clinical sample</th>
<th valign="middle" align="left">LOD</th>
<th valign="middle" align="left">Linear range</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">317.4 &#xb1; 12.3nm</td>
<td valign="middle" align="left">miRNA-21</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">MoS<sub>2</sub>/AuNPs composite-modified electrode and multilayered nanoneedle structure</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">38aM</td>
<td valign="middle" align="left">10aM~1uM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">SCCA</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">Bimetallic PtCo nanoframe-modified electrode and dendritic DM-SiO<sub>2</sub>@AuPt core&#x2013;shell nanostructures</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">7.33fM</td>
<td valign="middle" align="left">22.22fM~2.67&#xb5;M</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B42">42</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">13.2 &#xb1; 2.32nm</td>
<td valign="middle" align="left">p16<sup>INK4a</sup>; P53; Ki67</td>
<td valign="middle" align="left">Thiolation; Electrostatic adsorption</td>
<td valign="middle" align="left">Schematic of label-free sensing with redox reporters (Cd&#xb2;<sup>+</sup>/DAP/MB);3SPCE array/GO/2D WS<sub>2</sub>/PEI-AuNPs/redox probe</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">9.38nM; 5.49nM; 0.56nM</td>
<td valign="middle" align="left">0.01~100ng/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">~16nm</td>
<td valign="middle" align="left">&#x3b1;2, 6-sialic acid</td>
<td valign="middle" align="left">Electrostatic adsorption</td>
<td valign="middle" align="left">ATR-FTIR combined with chemometrics for biosensor-cell interaction signal enhancement.</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B44">44</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">~75nm</td>
<td valign="middle" align="left">p16<sup>INK4a</sup>
</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">The Au-rGO material was employed for the first time to detect serum p16<sup>INK4a</sup>.</td>
<td valign="middle" align="left">serum(15)</td>
<td valign="middle" align="left">167fg/mL</td>
<td valign="middle" align="left">500fg/mL~100ng/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B43">43</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Similarly, while colorimetry detects cervical exfoliated cells, its accuracy suffers from subjective visual interpretation of subtle color shifts. AuNP-integrated (~16nm, Citrate-reduced, Spherical, chitosan-coated) photoelectric sensors enhance precision by targeting cancer-specific &#x3b1;2,6-sialic acid overexpression via SNA-conjugated AuNPs (<xref ref-type="bibr" rid="B44">44</xref>). Ricardo and team detected diagnostic spectral alterations at 1470, 1456, 1434, 1400, and 1350 cm<sup>&#x2212;</sup>&#xb9; in cancer-bound complexes using attenuated total reflection fourier-transform infrared spectroscopy (ATR-FTIR) (<xref ref-type="bibr" rid="B44">44</xref>). Notably, Ricardo et&#xa0;al. leveraged machine learning (ML), specifically principal component analysis (PCA), to identify sialic acid-associated spectral signatures in cervical cancer cell lines. Orthogonal principal components maximizing data variance were derived, enabling construction of confidence ellipse models that robustly discriminated primary fibroblasts from malignant cells (non-overlapping 95% confidence intervals; p&lt;0.001) (<xref ref-type="bibr" rid="B44">44</xref>). This approach establishes a non-invasive diagnostic paradigm for early cervical cancer detection through surface-enhanced infrared absorption (SEIRA) biomarker profiling. (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Mean ATR-FTIR spectra (baseline corrected and min/max normalized) of control cells and after interaction between SNA biosensors and <bold>(A)</bold> SiHa; <bold>(B)</bold> HeLa; <bold>(C)</bold> C33A; and <bold>(D)</bold> primary fibroblasts (<xref ref-type="bibr" rid="B44">44</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g003.tif">
<alt-text content-type="machine-generated">Four spectral graphs labeled A to D compare absorbance versus wavenumber for different cell lines with and without SNA Bios. All graphs show similar absorbance patterns, with peaks between wavenumbers 1000 and 1200 cm&#x207b;&#xb9;. Graph A is SiHa, B is HeLa, C is C33A, and D is Fibroblasts.</alt-text>
</graphic>
</fig>
<p>AuNPs enhance HPV-16 DNA detection by increasing electrode surface area, accelerating electron transfer, and amplifying signals (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B45">45</xref>). As <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> shows, varied electrode designs achieve LODs&lt;0.2fM (<xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>). Dielectric and photoelectrochemical sensors offer enhanced precision, with maintained functionality during long-term cold storage (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B48">48</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Recent advances in HPV detection biosensors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">No</th>
<th valign="middle" align="left">Particle size</th>
<th valign="middle" align="left">Targe</th>
<th valign="middle" align="left">Surface functionalization of AuNPs</th>
<th valign="middle" align="left">Highlights of Study</th>
<th valign="middle" align="left">Clinical sample</th>
<th valign="middle" align="left">LOD</th>
<th valign="middle" align="left">Linear range</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">HPV 16 DNA</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Exhibits strong anti-interference capability in human serum</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">0.5475 fM</td>
<td valign="middle" align="left">100fM~1000nM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B50">50</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">HPV-18 DNA</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">rGO-MWCNT-AuNPs nanocomposite-functionalized SPCEs</td>
<td valign="middle" align="left">Cervical smear</td>
<td valign="middle" align="left">0.05fM</td>
<td valign="middle" align="left">0.01fM~0.01nM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B47">47</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">16 &#xb1; 1nm</td>
<td valign="middle" align="left">HPV-16 DNA</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">APTES-modified GCE; CP-AuNPs immobilized via phosphate-amine electrostatic adsorption</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">0.1731fM</td>
<td valign="middle" align="left">100fM~10uM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B46">46</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">18.9 &#xb1; 1.5nm</td>
<td valign="middle" align="left">HPV-16 E6/E7 mRNA</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">LAMP-amplified mRNA; Streptavidin modification; ssDNA-AuNPs targeting; SA-HRP signal amplification</td>
<td valign="middle" align="left">Cervical smear(20)</td>
<td valign="middle" align="left">0.08fM</td>
<td valign="middle" align="left">100nM~100uM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B48">48</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">HPV L1</td>
<td valign="middle" align="left">Electrostatic adsorption</td>
<td valign="middle" align="left">PANI electrode with AuNPs deposition; MY11 degenerate probe</td>
<td valign="middle" align="left">Cervical smear</td>
<td valign="middle" align="left">0.113nM</td>
<td valign="middle" align="left">1~100 pg/&#x3bc;L</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">~5nm</td>
<td valign="middle" align="left">HPVs</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Screen-printed photoelectrode array modified with TiO<sub>2</sub>@AuNPs</td>
<td valign="middle" align="left">Positive cervical smear(20); negative cervical smear(20)</td>
<td valign="middle" align="left">0.1copies/&#x3bc;L</td>
<td valign="middle" align="left">0.6~600copies/&#x3bc;L</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">9 &#xb1; 1.5nm</td>
<td valign="middle" align="left">HPV-18 DNA</td>
<td valign="middle" align="left">Covalent bonding</td>
<td valign="middle" align="left">SiO<sub>2</sub>-micro-IDE substrate; APTES-AuNPs dehydration-condensation modification</td>
<td valign="middle" align="left">Cervical smear(20)</td>
<td valign="middle" align="left">0.529aM</td>
<td valign="middle" align="left">1aM~100fM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B49">49</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">~40nm</td>
<td valign="middle" align="left">HPV-16/18 DNA</td>
<td valign="middle" align="left">Electrostatic adsorption</td>
<td valign="middle" align="left">CuCo<sub>2</sub>S<sub>4</sub>-ZnIn<sub>2</sub>S<sub>4</sub>-S heterojunction interface; Paper-film composite chip</td>
<td valign="middle" align="left">Serum</td>
<td valign="middle" align="left">0.21pM; 42.92pM</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B53">53</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">~15nm</td>
<td valign="middle" align="left">HPV-16</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Using SynSed technology as an alternative method for particle transfer in DFM imaging</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">10fM</td>
<td valign="middle" align="left">0pM~500pM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B54">54</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">~50nm</td>
<td valign="middle" align="left">HPV-16</td>
<td valign="middle" align="left">Covalent bonding</td>
<td valign="middle" align="left">This is the first dual-colorimetric strategy based on AuNPs for detecting double-stranded HPV-16 viral genome.</td>
<td valign="middle" align="left">Cervical smear</td>
<td valign="middle" align="left">1.9nM</td>
<td valign="middle" align="left">0.45~6.72nM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B45">45</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Lin and colleagues&#x2019; paper-based sensor achieves significant cost reduction (&lt;$1.00), miniaturization, and commercial viability (<xref ref-type="bibr" rid="B53">53</xref>). Utilizing lateral flow principles, HPV-16/18 DNA hybridizes with probes in a rapid-flow zone, forming circular structures that bind AuNPs (~40nm, Spherical)-polydopamine (PDA). Light irradiation triggers AuNP-mediated photothermal conversion, intensifying thermal response while diminishing photocurrent. Subsequent fluid migration to a slow-flow zone enables CRISPR-Cas12a-mediated DNA cleavage and HPV fragment release, reversing signals (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>) (<xref ref-type="bibr" rid="B53">53</xref>). This system detects HPV-16/18 DNA within 30 minutes with high specificity (LOD: 0.21pM and 42.92pM, respectively) (<xref ref-type="bibr" rid="B53">53</xref>). However, Lin&#x2019;s sensor is susceptible to temperature, salt concentration, and reaction time variations due to pre-hybridization nucleic acid cleavage. These factors exacerbate electrical signal transduction limitations, including single-molecule counting inability. To overcome this, Jia and team integrated dark-field microscopy (DFM) imaging, circumventing signal dependency while employing synergistic sedimentation (SynSed) to minimize nanoparticle diffusion (~15nm, Citrate-reduced) (<xref ref-type="bibr" rid="B54">54</xref>). This optimized system achieves a LOD of 10 fM.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Detection steps and interactive signal change process in the <bold>(A)</bold> initial state, <bold>(B)</bold> the DNA conformational change state, and <bold>(C)</bold> CRISPR-Cas12a activation state. <bold>(D)</bold> Schematic diagram of the proposed lateral flow biosensor. <bold>(E)</bold> Signal amplification process of the CRISPR-Cas12a-driven dual-readout lateral flow biosensor. <bold>(F)</bold> Feasibility analysis for the self-assembly process of the annular DNA and trans-cleavage instinct of CRISPR-Cas12a (<xref ref-type="bibr" rid="B53">53</xref>). (copyright permission obtained).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g004.tif">
<alt-text content-type="machine-generated">Illustration of CRISPR-Cas12a system for detecting HPV. Panels A-C depict different reaction stages, showing DNA structures interacting with Cas12a. Graphs illustrate temperature and photothermal changes over time. Panel D shows an overview of the workflow on a chip. Panel E illustrates CRISPR-Cas12a with HPV-16 and HPV-18 DNA pathways. Panel F presents gel electrophoresis results with labeled DNA fragments. Symbols indicate hairpin DNA, arm DNA, Cas12a, crRNA, annular DNA-HPV-18, and Au-PDA-labeled DNA.</alt-text>
</graphic>
</fig>
<p>Beyond HPV-16 and HPV-18, other high-risk HPV types (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B68">68</xref>) also contribute to cervical cancer development (<xref ref-type="bibr" rid="B35">35</xref>). To address this, platforms incorporating MY11 probes targeting conserved regions of the HPV L1 gene have been integrated with AuNPs-doped detection systems. AuNPs amplify current-voltammetric signals generated by minor nucleotide variations within the L1 conserved regions of HPV-16/31/33/45/58, enabling the construction of HPV genotyping profiles (<xref ref-type="bibr" rid="B51">51</xref>). Conversely, an alternative strategy anchors multiple recognition probes within a photoelectrochemical biochip array (PEBA) platform composed of TiO<sub>2</sub>@AuNPs composites (<xref ref-type="bibr" rid="B52">52</xref>). This highly integrated chip-based format achieves an exceptionally low LOD of 0.1 copies/&#x3bc;L, demonstrating high concordance with clinical results (<xref ref-type="bibr" rid="B52">52</xref>).</p>
</sec>
<sec id="s2_1_3">
<label>2.1.3</label>
<title>SERS detection based on AuNPs</title>
<p>SERS surpasses electrochemical biosensors in AuNPs-based serological diagnostics by circumventing electrode constraints. As <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> shows, platforms utilize: 1) sharpened AuNPs geometries to intensify electromagnetic hotspots, and 2) ordered array chips to enhance spectral reproducibility (<xref ref-type="bibr" rid="B55">55</xref>&#x2013;<xref ref-type="bibr" rid="B58">58</xref>). However, significant LOD variability exists (e.g., 191.73 fM vs. 10 fM for SCCA in serum) (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B58">58</xref>), likely stemming from AuNPs morphology and Raman reporter differences (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Research on the detection of cervical cancer (SERS).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">No</th>
<th valign="middle" align="left">Particle size</th>
<th valign="middle" align="left">Targe</th>
<th valign="middle" align="left">Surface functionalization of AuNPs</th>
<th valign="middle" align="left">Highlights of Study</th>
<th valign="middle" align="left">Clinical sample</th>
<th valign="middle" align="left">LOD</th>
<th valign="middle" align="left">Linear range</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">~600nm</td>
<td valign="middle" align="left">SCCA; OPN</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Ag-AuNFs bimetallic nanocomposites with arrow-headed tip nanostructures</td>
<td valign="middle" align="left">Serum(150)</td>
<td valign="middle" align="left">191.73fM; 132.97fM</td>
<td valign="middle" align="left">10 pg/mL~9 &#x3bc;g/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B55">55</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">~45nm</td>
<td valign="middle" align="left">B7-H6</td>
<td valign="middle" align="left">Covalent bonding</td>
<td valign="middle" align="left">Zwitterion-modified stealth sensor with pH-stable spiky AuNPs</td>
<td valign="middle" align="left">Positive serum(9); negative serum(1)</td>
<td valign="middle" align="left">10fM</td>
<td valign="middle" align="left">10fM~10nM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B56">56</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">~20nm</td>
<td valign="middle" align="left">CpG methyltransferase</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Site-selective assembly of AuNP arrays on monolayer SiO<sub>2</sub> arrays yielding Au@SiO<sub>2</sub> array substrates;RCA signal amplification strategy</td>
<td valign="middle" align="left">Serum(150)</td>
<td valign="middle" align="left">0.251mU/mL</td>
<td valign="middle" align="left">0.005~50U/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B57">57</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">~20nm</td>
<td valign="middle" align="left">SCCA; CEA</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Cubic Ag-Au bimetallic nanoparticles integrated on Au@SiO<sub>2</sub> array substrates;Pump-free flow via capillary pump/hydrophilic-treated channels;Multichannel parallel auto-detection</td>
<td valign="middle" align="left">Positive serum(60); negative serum(30)</td>
<td valign="middle" align="left">10fM; 2fM</td>
<td valign="middle" align="left">1pg/mL~1&#x3bc;g/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B58">58</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">70~80nm</td>
<td valign="middle" align="left">p16;Ki-67</td>
<td valign="middle" align="left">Covalent bonding</td>
<td valign="middle" align="left">AuNS@Ag nanoflowers enable 20-min slide detection, bypassing ICC staining.</td>
<td valign="middle" align="left">Cervical smear</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B59">59</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">~20nm</td>
<td valign="middle" align="left">miRNA21/124/143</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">SPRi: AuNP-helper probes enhance chip signals; SERS: Triplex Raman reporters hybridize with target miRNAs.</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">1 fM; 0.8 fM; 1.2 fM</td>
<td valign="middle" align="left">10 fM~100pM</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B60">60</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">40~45nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">SERS on single cells/spheroids/DNA + chemometrics (PCA/LDA/SVM) for cervical cancer detection; validated by cytology/HPV PCR/UFLC metabolomics.</td>
<td valign="middle" align="left">Cervical smear</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B61">61</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">~80nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x201c;Hotspot&#x201d;-rich 3D plasmonic AuNP-nanomembranes: LLISA-assembled monolayers triple-stacked on ITO; optimized with AI.</td>
<td valign="middle" align="left">Positive serum(12); negative serum(5)</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B62">62</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">~25nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">A reliable detection protocol was established to obtain highly stable and reproducible serum SERS spectra</td>
<td valign="middle" align="left">Positive serum(12); negative serum(24)</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B63">63</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">83 &#xb1; 6nm</td>
<td valign="middle" align="left">sEV</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Detection of cancerous exosomes using plasmonic AuNPs nanosheets as SERS substrates combined with CD63 nanoflares</td>
<td valign="middle" align="left">Positive serum(11); negative serum(8)</td>
<td valign="middle" align="left">4.7 &#xd7; 10<sup>5</sup> particles/mL.</td>
<td valign="middle" align="left">1 &#xd7; 10<sup>6</sup>~2 &#xd7; 10<sup>8</sup>particles/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B64">64</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>
<bold>(A)</bold> High magnification SEM image of Cube-AuNPs (<xref ref-type="bibr" rid="B58">58</xref>); <bold>(B)</bold> High magnification SEM image of AuNF (<xref ref-type="bibr" rid="B55">55</xref>). (copyright permission obtained).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g005.tif">
<alt-text content-type="machine-generated">(A) Transmission electron microscopy image of a dark square nanoparticle with rounded corners, measuring 50 nanometers. (B) Scanning electron microscopy image of a complex star-shaped nanostructure with multiple pointed tips, measuring 200 nanometers.</alt-text>
</graphic>
</fig>
<p>SERS and Surface Plasmon Resonance Imaging (SPRi) are increasingly favored for cervical cancer biomarker detection (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). Yifan and team developed a dual-mode SPRi/SERS biosensor with a polyA capture probe/target miRNA/AuNPs-enhanced probe sandwich architecture (<xref ref-type="bibr" rid="B60">60</xref>). This platform concurrently detects miRNA-21/124/143 on a single chip (<xref ref-type="bibr" rid="B60">60</xref>). Target hybridization forms ternary complexes where AuNPs enhance SPRi via refractive index modulation while generating SERS hotspots through LSPR (<xref ref-type="bibr" rid="B60">60</xref>). Dual-signal redundancy reduces false positives (serum recovery: 90.0&#x2013;100.2%) (<xref ref-type="bibr" rid="B60">60</xref>). This high-throughput platform provides dual-verified nucleic acid detection with clinical utility.</p>
<p>The spatial arrangement of AuNPs in SERS sensors critically determines analytical outcomes. Xingkang et&#xa0;al. engineered a nanoscale monolayer film of uniform AuNPs (83 &#xb1; 6nm) to generate evenly distributed dense hotspots, overcoming the random hotspot distribution characteristic of conventional plasmonic colloidal solutions (<xref ref-type="bibr" rid="B64">64</xref>). This design prevented heterogeneous electromagnetic signals arising from nanoparticle aggregation while enhancing SERS signal reproducibility and sensitivity (<xref ref-type="bibr" rid="B64">64</xref>). Furthermore, integration of CD63 nanoflares with AuNPs created supplemental hotspots that amplified SERS intensity by 4.1-fold (<xref ref-type="bibr" rid="B64">64</xref>). The resulting platform exhibited linear detection of cancer exosomes from 1&#xd7;10<sup>6</sup> to 2&#xd7;10<sup>8</sup> particles/mL with a limit of detection (LOD) of 4.7&#xd7;10<sup>5</sup> particles/mL (<xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>Artificial intelligence enables more efficient mining of the massive data generated by AuNP probes in SERS sensing analysis, forming the foundation for low-cost nonspecific analysis. Hongmei and team established that 10 ppm serum prevents AuNPs encapsulation while enhancing dispersion homogeneity (<xref ref-type="bibr" rid="B63">63</xref>). After screening lasers, they selected 785 nm and 633 nm excitation (excluding 532 nm due to fluorescence interference), achieving 0.9609 spectral cosine similarity at 10 ppm (<xref ref-type="bibr" rid="B63">63</xref>). Clinical validation with 36 sera (24 healthy/12 cancer) identified differential peaks at 1201 cm<sup>&#x2212;</sup>&#xb9; and 1312 cm<sup>&#x2212;</sup>&#xb9;. PCA achieved complete group separation, establishing the first standardized SERS reference library for cervical cancer sera. This methodology provides a robust foundation for clinical SERS translation (<xref ref-type="bibr" rid="B63">63</xref>).</p>
<p>Meanwhile, this simultaneously enables unsupervised recognition of cervical cell pathology through AI analysis of non-functionalized gold nanoparticles (nfGNPs). Karunakaran et&#xa0;al. implemented support vector machine (SVM) algorithms to achieve high-precision classification of NRML/HSIL/CSCC specimens (94% &#xb1; 0.73% accuracy for single-cell analysis), markedly improving post-PCA specificity with ROC-validated diagnostic progression (AUC &gt;0.98) for cervical lesion stratification (<xref ref-type="bibr" rid="B61">61</xref>). In contrast, Diao et&#xa0;al. adopted a PCA-LDA fusion strategy (<xref ref-type="bibr" rid="B62">62</xref>). Following Savitzky-Golay filtering with airPLS background correction and min-max normalization, PCA reduced spectral dimensions to 46 principal components retaining 95% of the variance (<xref ref-type="bibr" rid="B62">62</xref>). LDA then compressed these into two discriminative factors. This hierarchical approach resolved non-overlapping 95% confidence ellipses observed under singular methods and attained 91.1% accuracy in differentiating exosomes across H8, HeLa, and MCF-7 cell lines (<xref ref-type="bibr" rid="B62">62</xref>). The model demonstrated robust diagnostic efficacy, with AUCs ranging from 0.93 to 0.99, and maintained 93.3% overall accuracy in clinical validation (<xref ref-type="bibr" rid="B62">62</xref>). It perfectly classified breast and cervical cancer serum exosomes while correctly identifying 80% of healthy samples. This established a non-invasive framework for SERS-driven early cancer detection (<xref ref-type="bibr" rid="B62">62</xref>).</p>
</sec>
<sec id="s2_1_4">
<label>2.1.4</label>
<title>AuNPs-enabled innovative imaging strategies</title>
<p>Imaging is vital for non-invasive cervical cancer diagnosis. Tumor-targeting ligand-functionalized AuNPs (e.g., folic acid, oligotyrosine/RGD/NLS peptides) serve as effective contrast agents (<xref ref-type="bibr" rid="B65">65</xref>). The tumor microenvironment further enhances AuNPs (50.3 &#xb1; 1.1nm, Citrate-reduced, spherical) accumulation, where acidic pH triggers hydrolysis of citraconic anhydride linkages in AuNPs-doxorubicin (DOX) complexes (<xref ref-type="bibr" rid="B66">66</xref>).</p>
<p>Radioiodinated AuNPs serve as contrast agents for clinical imaging (MRI/US/CT/PET) (<xref ref-type="bibr" rid="B29">29</xref>). Min and colleagues engineered pH-responsive theranostic AuNPs (50.3 &#xb1; 1.1nm, Microwave-assisted synthesis, spherical) with PEGylated surfaces and citraconic anhydride-linked DOX (<xref ref-type="bibr" rid="B66">66</xref>). At pH 5.5, linker hydrolysis triggers DOX release and electrostatic aggregation (35-nm UV-Vis redshift; TEM-confirmed), amplifying imaging signals (<xref ref-type="bibr" rid="B66">66</xref>). Radioiodination achieved 35.4% labeling efficiency, with PET showing 1.37%ID/g tumor uptake at 2h and &gt;38% cancer cell binding (<xref ref-type="bibr" rid="B66">66</xref>). Photoacoustic imaging (PAI) generates biological images by detecting photon emissions from contrast agents. AuNPs exhibit exceptional PAI properties due to high photothermal conversion efficiency (<xref ref-type="bibr" rid="B66">66</xref>). The Au-UCNP-PEG<sub>2k</sub> nanocomposite serves as both photodynamic therapy agent and multimodal imaging platform (~5nm, Hydrothermal method, spherical) (<xref ref-type="bibr" rid="B67">67</xref>). <italic>In vivo</italic> studies show superior PAI performance under near-infrared region (NIR) irradiation compared to bare AuNPs, functioning as a trimodal contrast agent for comprehensive tumor diagnostics (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>) (<xref ref-type="bibr" rid="B67">67</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>PAI of before <bold>(a)</bold> and after <bold>(b)</bold> injection 200 &#xb5;g/mL of Au-UCNPs-DSPE-PEG2K in Balb/c mice (<xref ref-type="bibr" rid="B67">67</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g006.tif">
<alt-text content-type="machine-generated">Two thermal images labeled (a) and (b) display temperature variations in blue, yellow, and red, with red areas indicating higher temperatures. Both images feature irregular patterns and are marked with a scale of five millimeters.</alt-text>
</graphic>
</fig>
<p>AuNPs enhance lesion identification in laboratory imaging (<xref ref-type="bibr" rid="B68">68</xref>). Under DFM, FA-targeted AuNPs@Ag@AgI nanostructures internalized by HeLa cells enable precise spatial localization via amplified light scattering (<xref ref-type="bibr" rid="B68">68</xref>). Simultaneously, AuNPs&#x2019; plasmonic properties mediate surface energy transfer to fluorescent donors (e.g., TAP, PHEN), inducing controlled fluorescence quenching within cells, supporting development of real-time imaging agents (<xref ref-type="bibr" rid="B68">68</xref>).</p>
</sec>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Treatment</title>
<sec id="s2_2_1">
<label>2</label>
<title>.2.1. AuNPs-based drug delivery systems</title>
<p>AuNPs enable targeted cancer cell eradication via drug and ligand conjugation. Therapeutic payloads encompass Methotrexate (MTX) (<xref ref-type="bibr" rid="B69">69</xref>), DOX (<xref ref-type="bibr" rid="B66">66</xref>), Paclitaxel (PTX) (<xref ref-type="bibr" rid="B70">70</xref>), and luteolin (<xref ref-type="bibr" rid="B71">71</xref>). Common cervical cancer targeting ligands comprise Folic Acid (FA), Hyaluronic Acid (HA), and AS1411 aptamer (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). Emerging agents show complementary potential (<xref ref-type="bibr" rid="B72">72</xref>). The investigational compound IQ activates TLR7/8-mediated immune responses and NF-&#x3ba;B-dependent apoptosis. When complexed with nucleolin-targeting AS1411 aptamer on AuNPs (IQ-AS1411-AuNPs), MTT assays demonstrated significantly reduced HeLa cell viability (<xref ref-type="bibr" rid="B72">72</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Design of AuNPs for the treatment of cervical cancer (drug delivery).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">No</th>
<th valign="middle" align="left">Particle size</th>
<th valign="middle" align="left">Surface functionalization of AuNPs</th>
<th valign="middle" align="left">Drug</th>
<th valign="middle" align="left">Highlights of Study</th>
<th valign="middle" align="left">Cell line</th>
<th valign="middle" align="left">Toxic</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">~11nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">MTX</td>
<td valign="middle" align="left">AuNPs with FA modification; High MTX loading (&gt;98.7% EE); GSH-responsive MTX release</td>
<td valign="middle" align="left">U-87MG; HeLa; A549; PC3; HEK-293</td>
<td valign="middle" align="left">The MTT results indicate no toxicity.</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B69">69</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">50.3 &#xb1; 1.1nm</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">DOX</td>
<td valign="middle" align="left">Citraconic anhydride linker enables pH-responsive DOX release in tumor microenvironment</td>
<td valign="middle" align="left">HeLa</td>
<td valign="middle" align="left">Considered</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B66">66</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">~20nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">PTX</td>
<td valign="middle" align="left">One-pot synthesis using PTX as dual reductant/stabilizer; Eco-friendly process without additional chemicals</td>
<td valign="middle" align="left">SiHa; HT-29</td>
<td valign="middle" align="left">Considered</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B70">70</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">18.30~21.16nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">Imiquimod</td>
<td valign="middle" align="left">AS1411-mediated selective drug delivery; Enhanced vaginal tissue retention for gynecological cancer therapy</td>
<td valign="middle" align="left">HeLa; HEC-1-A; NHDF; Franz</td>
<td valign="middle" align="left">No toxicity</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B72">72</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">26.35 &#xb1; 2.13nm</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">DOX</td>
<td valign="middle" align="left">pH-responsive DOX release; Dose-dependent cytotoxicity in HeLa cells; Synergistic therapeutic platform for ovarian cancer</td>
<td valign="middle" align="left">HeLa</td>
<td valign="middle" align="left">A dose-dependent toxicity was observed.</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B73">73</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Beyond ligand-mediated targeting, tumor microenvironment (TME) characterized by hypoxia, low pH, elevated GSH, and ROS, directs AuNPs accumulation. A TME-responsive platform bypasses ligand functionalization, exemplified by GSH-cleavable disulfide-linked AuNPs (~11nm, Brust-Schiffrin, spherical) achieving 98.7% MTX encapsulation for cervical cancer (<xref ref-type="bibr" rid="B69">69</xref>). Similarly, DOX-conjugated AuNPs utilize pH-labile hydrazone bonds that hydrolyze selectively in acidic TME conditions, enabling clinically translatable targeted therapy (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B73">73</xref>).</p>
<p>Toxicity and complexity concerns around chemical stabilizers (e.g., 3MPA/3MPS/PVP) drove Kamini et&#xa0;al. to develop a novel PTX delivery platform (<xref ref-type="bibr" rid="B70">70</xref>). Their method synthesizes PTX-AuNPs in one step by adding silver ions to PTX/gold ion suspensions under sunlight (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>), where PTX acts as both therapeutic payload and reducing/stabilizing agent (<xref ref-type="bibr" rid="B70">70</xref>). This eliminates pre-synthesized AuNPs and exogenous stabilizers, reducing costs while bypassing conventional drug-loading, though the photochemical mechanism requires further study (<xref ref-type="bibr" rid="B70">70</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>One pot synthesis of paclitaxel functionalized gold nanoparticles and their anticancer studies (<xref ref-type="bibr" rid="B70">70</xref>). (Copyright permission obtained).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g007.tif">
<alt-text content-type="machine-generated">Illustration showing the process of paclitaxel functionalized gold nanoparticles. Sunlight irradiates a vial creating the nanoparticles, which are then depicted interacting with cancer cells, leading to cell death.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Intrinsic antitumor effects of AuNPs</title>
<p>AuNPs exert intrinsic cytotoxicity against cervical cancer cells via apoptosis modulation (<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B74">74</xref>). Concentration-dependent upregulation of pro-apoptotic markers (BAX, p53) and downregulation of anti-apoptotic factors (Bid, BCL-2) occur with concomitant caspase activation (<xref ref-type="bibr" rid="B75">75</xref>). This cascade initiates from AuNPs-induced intracellular ROS elevation, confirmed by flow cytometry showing increased cytoplasmic ROS and mitochondrial superoxide production (<xref ref-type="bibr" rid="B76">76</xref>). AuNPs generate ROS partly through intrinsic catalytic activity, converting H<sub>2</sub>O<sub>2</sub> into H<sub>2</sub>O and O<sub>2</sub> while enhancing catalase activity to modify the tumor microenvironment via hypoxia alleviation and immune potentiation (<xref ref-type="bibr" rid="B77">77</xref>). Additionally, AuNPs elevate superoxide dismutase (SOD) activity, causing H<sub>2</sub>O<sub>2</sub> accumulation that activates caspase-dependent signaling pathways to induce cancer cell apoptosis (<xref ref-type="bibr" rid="B77">77</xref>). AuNPs&#x2019; cytotoxicity against cervical cancer cells depends critically on nanoparticle diameter and subcellular localization (<xref ref-type="bibr" rid="B78">78</xref>). Dae et&#xa0;al. found extracellular monodisperse AuNPs prolong HeLa cell mitosis without inducing apoptosis by forming division-disrupting nano-barriers. By contrast, 111nm extracellular AuNPs trigger ROS-mediated cell death with cytokinesis arrest, while 83nm particles cause transient M-phase delay followed by normal cytokinesis and G<sub>1</sub>-phase entry (<xref ref-type="bibr" rid="B78">78</xref>).</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>High-efficiency photothermal tumor ablation utilizing AuNPs</title>
<p>AuNPs act as efficient photothermal transducers, enabling precise tumor ablation under targeted guidance (<xref ref-type="bibr" rid="B21">21</xref>). Recent refinements include S-nitrosothiol-modified AuNPs releasing nitric oxide during PTT to simultaneously soften tumor extracellular matrix and generate mitochondrial reactive nitrogen species for enhanced cytotoxicity (<xref ref-type="bibr" rid="B79">79</xref>). Multibranched gold nanocrystals further outperform spherical or rod-shaped counterparts in photothermal conversion efficiency, confirming morphology as critical design parameter (<xref ref-type="bibr" rid="B21">21</xref>). PDT employs photosensitizers to generate cytotoxic ROS but faces limitations including toxicity and poor cellular uptake. Armin and team further demonstrated that AuNPs functionalized with protoporphyrin IX and FA via mercaptohexanol linkers enhance both cancer selectivity and cytotoxic efficiency (<xref ref-type="bibr" rid="B80">80</xref>).</p>
</sec>
<sec id="s2_2_4">
<label>2.2.4</label>
<title>Radiosensitization effects of AuNPs in radiotherapy</title>
<p>AuNPs enhance cervical cancer radiotherapy efficacy through their high atomic number (Z = 79), which dramatically exceeds biological elements. This promotes X-ray/&#x3b3;-ray absorption, generating amplified secondary electron fluxes that directly damage tumor DNA (<xref ref-type="bibr" rid="B81">81</xref>). Radiation-activated gold nanorods (AuNPs, 54.6 &#xb1; 7.11nm, spherical) further catalyze water decomposition, producing cytotoxic ROS (<xref ref-type="bibr" rid="B82">82</xref>). Functionalized variants concentrate radiation energy within lesions. Radiosensitization varies significantly with geometry: AuNRs surpass spheres (<xref ref-type="bibr" rid="B83">83</xref>). Nanocubes deposit 18.5% (18 MV) to 23.1% (6 MV) higher electron doses than nanospheres within 1.1 &#xb5;m radii, achieving maximum dose enhancement at 6 MV (<xref ref-type="bibr" rid="B84">84</xref>).</p>
</sec>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>AuNPs in ovarian cancer</title>
<sec id="s3_1">
<label>3.1</label>
<title>Diagnosis</title>
<sec id="s3_1_1">
<label>3.1.1</label>
<title>Colorimetric detection utilizing AuNPs</title>
<p>Colorimetry enables rapid ovarian cancer biomarker screening but suffers from limited resolution. Eda et&#xa0;al. circumvented this via smartphone-integrated analysis leveraging mobile imaging hardware advances (~40nm) (<xref ref-type="bibr" rid="B85">85</xref>). Alternatively, Hao et&#xa0;al. engineered Mg/Fe-layered double hydroxide nanoflowers as high-density AuNPs (~10nm, Rapid injection synthesis) carriers for lateral flow immunoassay (LFIA) (<xref ref-type="bibr" rid="B86">86</xref>). These porous templates achieve ultrahigh AuNPs loading, lowering HE4 detection to 50 pM (<xref ref-type="bibr" rid="B86">86</xref>).</p>
</sec>
<sec id="s3_1_2">
<label>3.1.2</label>
<title>AuNPs-engineered electrochemical biosensors</title>
<p>CA125 is the clinical gold standard for ovarian cancer serology. Current AuNP-based detection platforms vary primarily in electrode composition and surface modification strategies(<xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>), integrating AuNPs with carbon nanomaterials (graphene, CNTs), polymers (chitosan, polydopamine, PAMAM), or novel frameworks (MXenes, MOFs) to enhance nanoparticle density, antigen capture efficiency, and electron transfer kinetics. The integration of MOFs with AuNPs achieves reproducible CA12-specific recognition, demonstrating a RSD of 2.98% in repeatability experiments (<xref ref-type="bibr" rid="B87">87</xref>). Zahra&#x2019;s MXene/GQD/AuNPs composite achieves a record LOD of 0.075nU/mL (<xref ref-type="bibr" rid="B88">88</xref>). DLS sensors offer the broadest linear range (5fg/mL~50ng/mL) for high-dynamic CA125 quantification (<xref ref-type="bibr" rid="B89">89</xref>), while AuNP-DNA fluorescence quenching enables continuous biomarker monitoring. Near-field communication (NFC) integration further streamlines data acquisition, enhancing clinical utility (<xref ref-type="bibr" rid="B90">90</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Sensor design scheme for detecting CA125 based on AuNPs.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">No</th>
<th valign="middle" align="left">Particle size</th>
<th valign="middle" align="left">Surface functionalization of AuNPs</th>
<th valign="middle" align="left">Highlights of Study</th>
<th valign="middle" align="left">Clinical sample</th>
<th valign="middle" align="left">LOD</th>
<th valign="middle" align="left">Linear range</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Cu single-atom/AuNPs modified electrode</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">0.37 pg/mL;1.58 pg/mL</td>
<td valign="middle" align="left">0.005~500 ng/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B91">91</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">~14nm</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">PAMAM/AuNPs and 3D rGO-MWCNTs modified electrode;Succinic anhydride-modified chitosan</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">6 &#x3bc;U/mL</td>
<td valign="middle" align="left">0.0005~75 U/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B92">92</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">~15nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">
<italic>In-situ</italic> grown AuNPs/GaN Schottky junction via H<sub>2</sub>O<sub>2</sub> etching;AuNPs size-controlled Fermi level/charge transfer efficiency</td>
<td valign="middle" align="left">Serum(4)</td>
<td valign="middle" align="left">0.3 U/ml</td>
<td valign="middle" align="left">1~100 U/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B93">93</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">~13nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Target-aptamer binding modulated AuNPs aggregation for fluorescence on/off;</td>
<td valign="middle" align="left">Serum(4)</td>
<td valign="middle" align="left">0.015 U/mL;7.5 pg/mL</td>
<td valign="middle" align="left">0.01~2.0 U/mL;0.01~0.9 ng/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B94">94</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">~13nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">Dual-signal detection: DLS particle size and fluorescence;</td>
<td valign="middle" align="left">Serum(2)</td>
<td valign="middle" align="left">1.1 fg/mL</td>
<td valign="middle" align="left">5 fg/mL~50 ng/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B89">89</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">Microporous carbon modified SPCE;Smartphone-based NFC signal acquisition;</td>
<td valign="middle" align="left">Serum(6)</td>
<td valign="middle" align="left">0.4 U/mL</td>
<td valign="middle" align="left">0.5~50.0 U/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B90">90</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">~4.5nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">TDN-enhanced TMSD with AuNPs/Ru/ZIF-MOF signal probes;</td>
<td valign="middle" align="left">Serum(4)</td>
<td valign="middle" align="left">0.006 pg/mL</td>
<td valign="middle" align="left">0.01 pg/mL~10 ng/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B95">95</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">122 &#xb1; 11nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">AuNPs modified FTO electrode;Oligonucleotide recognition elements (antibody-free);</td>
<td valign="middle" align="left">Serum(3)</td>
<td valign="middle" align="left">2.6 U/mL</td>
<td valign="middle" align="left">10~800 U/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B96">96</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">MXene-GQD/AuNPs modified electrode</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">0.075 nU/mL</td>
<td valign="middle" align="left">0.1 &#x3bc;U/mL~1 U/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B88">88</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">AuNPs/RGO/PTH-modified DSPCE electrode</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">0.069 pg/mL; 0.058 pg/mL</td>
<td valign="middle" align="left">1~100 pg/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B97">97</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">~70nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">AuNPs and DES-synthesized PTB co-modified SPCE</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">1.20 pg/mL</td>
<td valign="middle" align="left">5~100 pg/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B98">98</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Electrodes modified with MOF@AuNPs-based nanocomposites</td>
<td valign="middle" align="left">Serum</td>
<td valign="middle" align="left">7.185nU/mL</td>
<td valign="middle" align="left">10~70nU/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B87">87</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Thiolation; Electrostatic adsorption</td>
<td valign="middle" align="left">Two biocompatible 2D COFs (EP-TD-COF and AuNPs@COFBTT-DGMH) effectively preserved antibody activity and provided a favorable microenvironment, synergistically enhancing the stability and sensitivity of the immunosensor</td>
<td valign="middle" align="left">Artificial serum</td>
<td valign="middle" align="left">0.089mU/mL</td>
<td valign="middle" align="left">0.00027~100U/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B99">99</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">14</td>
<td valign="middle" align="left">~54.61nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">The hybrid nanostructure of &#x3b1;-MnO<sub>2</sub> nanorods and AuNPs enhanced conductivity and sensitivity</td>
<td valign="middle" align="left">Serum</td>
<td valign="middle" align="left">9.82ng/mL</td>
<td valign="middle" align="left">10~70ng/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B100">100</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">15</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">CuCo-ONSs@AuNPs nanocomposite-modified electrode</td>
<td valign="middle" align="left">Serum(6)</td>
<td valign="middle" align="left">39nU/mL</td>
<td valign="middle" align="left">0.1&#x3bc;U/mL~1mU/mL</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B101">101</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">16</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">A biosensor capable of simultaneously interacting with sEV and CDDP was developed, enabling the simultaneous quantification of sEV and CDDP using SERS, thereby overcoming the heterogeneity and protein interference issues in SERS analysis of sEV</td>
<td valign="middle" align="left">Positive serum(99); negative serum(20)</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B102">102</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Beyond CA125, AuNP-based sensors target biomarkers including p53, HE4, exosomes, and DNA methylation (<xref ref-type="bibr" rid="B91">91</xref>, <xref ref-type="bibr" rid="B103">103</xref>&#x2013;<xref ref-type="bibr" rid="B106">106</xref>). Following Weiwei et&#xa0;al.&#x2019; s MOF-AuNPs for CA125 (<xref ref-type="bibr" rid="B95">95</xref>), Xu and team developed a sandwich electrochemical immunosensor using synergistic signal amplification between Prussian blue (PB) and thiolated ionic MOF composites (TIMO<sup>+</sup>F-KB@AuNPs) for HE4 quantification (<xref ref-type="bibr" rid="B107">107</xref>). The platform employs TIMO<sup>+</sup>F-KB@AuNPs as conductive sensing substrates for capture antibody (Ab<sub>1</sub>) immobilization, while PB nanoparticles carry detection antibodies (Ab<sub>2</sub>). HE4 binding forms an Ab<sub>1</sub>-HE4-Ab<sub>2</sub>-PB complex, generating electrochemical signals proportional to concentration (linear range: 0.1~80ng/mL, LOD: 0.02ng/mL) (<xref ref-type="bibr" rid="B107">107</xref>). Demonstrating high selectivity, reproducibility, and stability with 97.10~114.07% serum recovery, it enables early ovarian cancer diagnosis (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). Separately, superparamagnetic CoFeB enhances AuNPs-based p53 detection (LOD: 0.006 U/mL) (<xref ref-type="bibr" rid="B104">104</xref>). Furthermore, exosomes predict ovarian cancer chemotherapy response. Meshach and team developed a cysteine-functionalized AuNP (Au-cys) biosensor using SERS to simultaneously capture cisplatin and small extracellular vesicles from biological samples, enabling concurrent early detection and treatment efficacy assessment (<xref ref-type="bibr" rid="B102">102</xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Shows the principle of the prepared electrochemical biosensor for fast detection of HE4 (<xref ref-type="bibr" rid="B107">107</xref>). (Copyright permission obtained).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g008.tif">
<alt-text content-type="machine-generated">Diagram illustrating a biosensor fabrication process. TiMOF-KB is combined with AuNP to form TiMOF-KB@AuNP, which is applied on GCE with antibodies, PEG, and HE4. Separately, citric acid, FeCl3, and K4[Fe(CN)6] are stirred at sixty degrees Celsius to create PB NP, forming a PB-Probe when combined with Ab2. The final configuration on GCE shows interlinked components, leading to a graph demonstrating an electrochemical response with current (I/&#x3bc;A) versus potential (E/V).</alt-text>
</graphic>
</fig>
<p>AuNPs facilitate ovarian cancer diagnosis via urine, exhaled gas, and cyst fluid analysis (<xref ref-type="bibr" rid="B108">108</xref>, <xref ref-type="bibr" rid="B109">109</xref>). Thomas and team pioneered nanopore sensing where AuNPs capture 13 cysteine-containing urinary peptides within &#x3b1;-hemolysin nanopores, generating distinct current signatures: stepwise reductions for small peptides versus polymorphic fluctuations for larger ones, enabling prolonged single-molecule characterization (<xref ref-type="bibr" rid="B108">108</xref>). AuNPs-based platforms also detect microbiome-derived Volatile organic compounds (VOCs) in exhaled breath with 82% screening accuracy (<xref ref-type="bibr" rid="B110">110</xref>).</p>
</sec>
<sec id="s3_1_3">
<label>3.1.3</label>
<title>AuNPs-enabled innovative imaging strategies</title>
<p>AuNPs drive transformative ovarian cancer imaging advances (<xref ref-type="bibr" rid="B19">19</xref>). Dheeraj and team engineered FA-targeted, hydrazinonicotinamide-chelated AuNPs enabling efficient 99mTc radiolabeling for tumor-specific single-photon emission computed tomography (SPECT) contrast (<xref ref-type="bibr" rid="B111">111</xref>). Further functionalization yielded GO/SPIO/AuNP composite sheets integrating PTT, radiotherapy, and MRI within a unified theranostic platform (<xref ref-type="bibr" rid="B112">112</xref>).</p>
<p>MARS spectral photon-counting CT (SPCCT), though primarily preclinical, enables material-specific imaging via energy-dependent X-ray attenuation. Dhiraj et&#xa0;al. functionalized AuNPs with LHRH via PEG tethers for ovarian cancer targeting (<xref ref-type="bibr" rid="B113">113</xref>). Intraperitoneal administration in murine models achieved selective accumulation in peritoneal tumors (0.46~2.12ng/mg, ICP-MS). While current SPCCT sensitivity limited absolute quantification, it mapped gold distribution patterns (<xref ref-type="bibr" rid="B113">113</xref>). Increased LHRH density (3000~15000molecules/particle) enhanced targeting while maintaining &gt;60% metabolic activity at therapeutic concentrations (12~30&#x3bc;g/mL), establishing a novel theranostic strategy (<xref ref-type="bibr" rid="B113">113</xref>).</p>
<p>Functionalized AuNPs support ovarian cancer-specific detection via fluorescence lifetime imaging (<xref ref-type="bibr" rid="B114">114</xref>), dark-field (<xref ref-type="bibr" rid="B115">115</xref>), and confocal Raman microscopy (<xref ref-type="bibr" rid="B116">116</xref>). SERS imaging further enables chemoresistance prediction and survival outcome assessment (<xref ref-type="bibr" rid="B117">117</xref>).</p>
</sec>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Treatment</title>
<sec id="s3_2_1">
<label>3.2</label>
<title>.1. AuNPs-based drug delivery systems</title>
<p>AuNPs enable targeted ovarian cancer drug delivery, enhancing dispersion or internalization of agents like linalool, cetuximab, paclitaxel, let-7a miRNA, and nidocarcinoma-derived factor(<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). DOX-AuNPs show superior tumor growth inhibition versus free doxorubicin while overcoming payload leakage limitations (<xref ref-type="bibr" rid="B118">118</xref>). Engineered for MICU1-targeting siRNA delivery, they achieve &gt;85% silencing efficiency via lysosome evasion, addressing key shortcomings of conventional carriers (<xref ref-type="bibr" rid="B119">119</xref>).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Design of AuNPs for the treatment of ovarian cancer (drug delivery).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">No</th>
<th valign="middle" align="left">Particle size</th>
<th valign="middle" align="left">Surface functionalization of AuNPs</th>
<th valign="middle" align="left">Drug</th>
<th valign="middle" align="left">Highlights of Study</th>
<th valign="middle" align="left">Animal model</th>
<th valign="middle" align="left">Toxic</th>
<th valign="middle" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">~10nm</td>
<td valign="middle" align="left">Covalent bonding</td>
<td valign="middle" align="left">DTX</td>
<td valign="middle" align="left">Plasmonic photothermal therapy (PPTT) enables pH-triggered controlled release of docetaxel by disrupting halloysite nanotube (HNT) interlayer hydrogen bonds via Au nanoparticle-mediated photothermal effects</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">The MTT results indicate low toxicity in 3T3</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B115">115</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">2</td>
<td valign="middle" align="left">~13nm</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">CALNN;Linalool</td>
<td valign="middle" align="left">GSH-capped linalool delivery; CALNN peptide conjugation; Caspase-8/p53 activation &amp; NF-&#x3ba;B inhibition</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Considered</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B120">120</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left">~40nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">NDC - 1;NDC - 2</td>
<td valign="middle" align="left">Thiol-Au conjugated naproxen derivatives; Simple high-loading platform; 5&#xd7; lower IC<sub>50</sub> vs free drugs</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Considered</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B121">121</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">~13nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">DOX</td>
<td valign="middle" align="left">DNA-hybridized Dox loading; pH-responsive release; 2.5&#xd7; greater <italic>in vivo</italic> suppression vs free Dox</td>
<td valign="middle" align="left">BALB/c nude mice</td>
<td valign="middle" align="left">Considered</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B118">118</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">~20nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">auroliposome</td>
<td valign="middle" align="left">AuNP-embedded siRNA liposomes; Caveolae-mediated uptake enhancement; PDX model efficacy</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">No toxicity</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B119">119</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">6</td>
<td valign="middle" align="left">12 &#xb1; 2 nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">miR - 145</td>
<td valign="middle" align="left">FSH receptor-targeted delivery via FSH33 peptide</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Considered</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B122">122</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">~30nm</td>
<td valign="middle" align="left">Electrostatic adsorption; Covalent bonding; Thiolation</td>
<td valign="middle" align="left">PTX</td>
<td valign="middle" align="left">Multimodal imaging (PA/FL/CT); pH-responsive PTX release; Photothermal-enhanced delivery</td>
<td valign="middle" align="left">mice</td>
<td valign="middle" align="left">Considered</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B123">123</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">8</td>
<td valign="middle" align="left">~10nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">DTX</td>
<td valign="middle" align="left">HNT/AuNP/SORT antibody integration; PPTT/pH-triggered release (44 &#xb0;C activation); Selective cancer killing</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">The MTT results indicate low toxicity in 3T3</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B115">115</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">9</td>
<td valign="middle" align="left">10~15nm</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">TXT</td>
<td valign="middle" align="left">Ca(OH)2 tumor-penetration pretreatment; Magnetic/PPTT/CT multifunctional system; 89% growth inhibition</td>
<td valign="middle" align="left">mice</td>
<td valign="middle" align="left">The MTT results indicate low toxicity in 3T3</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B28">28</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">10</td>
<td valign="middle" align="left">60 &#xb1; 5nm*30 &#xb1; 3nm</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">CSA-131</td>
<td valign="middle" align="left">Peanut-shaped AuNP delivery of ceragenin; Systemic administration potential</td>
<td valign="middle" align="left">BALB/c nude mice</td>
<td valign="middle" align="left">No toxicity</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B124">124</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">11</td>
<td valign="middle" align="left">~19nm</td>
<td valign="middle" align="left">Thiolation; Covalent bonding</td>
<td valign="middle" align="left">TfQ</td>
<td valign="middle" align="left">Theaflavin-mediated synthesis/stabilization; Low hemolytic nanocomposite</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">No toxicity</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B125">125</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">12</td>
<td valign="middle" align="left">~10nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">TZ; miR-200c</td>
<td valign="middle" align="left">First integration of miR-200c with AuNPs-TZ nanocomplexes demonstrated.</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Considered</td>
<td valign="middle" align="left">(<xref ref-type="bibr" rid="B126">126</xref>)</td>
</tr>
<tr>
<td valign="middle" align="left">13</td>
<td valign="middle" align="left">~20nm</td>
<td valign="middle" align="left">Thiolation</td>
<td valign="middle" align="left">DOX</td>
<td valign="middle" align="left">QbD-guided functionalization yielded pH/NIR-responsive AuNPs-L-Dox nanoplatform for selective tumor drug release with reduced systemic toxicity</td>
<td valign="middle" align="left">&#x2013;</td>
<td valign="middle" align="left">Low toxicity</td>
<td valign="middle" align="left">s(<xref ref-type="bibr" rid="B127">127</xref>)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Antibody or peptide-conjugated AuNPs enable precise ovarian cancer targeting (<xref ref-type="bibr" rid="B128">128</xref>). Edison and team engineered FSH33-AuNPs covalently conjugated to tumor-suppressive miR-145 (<xref ref-type="bibr" rid="B122">122</xref>). This system protects miR-145 from degradation, mediates selective cancer cell internalization, and inhibits proliferation, migration, anchorage-independent growth, and VEGF secretion. AuNPs enable co-delivery of multiple therapeutic agents, as demonstrated by Tommaso et&#xa0;al. who engineered miR-200c and trastuzumab (TZ)-loaded nanoparticles that dual-target critical pathways driving SKOV3 cell survival and proliferation <italic>in vitro</italic>, overcoming TZ resistance while potentially improving therapeutic outcomes for HER2-positive ovarian cancer (<xref ref-type="bibr" rid="B126">126</xref>). Beyond antibody/peptide targeting, TME and hyperthermia trigger drug release from AuNPs<sup>,123</sup>. Reza et&#xa0;al. engineered antibody-conjugated magneto-gold composites (TXT@Fe<sub>3</sub>O<sub>4</sub>/PVA/Au-SORT) for ovarian cancer (<xref ref-type="bibr" rid="B28">28</xref>). Photothermal AuNPs heating dissociates the PVA matrix, achieving precise TXT release (94.4 &#xb1; 4.1% over 180 min in TME). Ca(OH)<sub>2</sub> pretreatment combined with TXT therapy enhanced intratumoral accumulation, inhibited migration, and induced DNA damage, achieving 78.3% tumor suppression with reduced systemic toxicity (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Confocal images of the subjected TXT@Fe3O4/PVA/Au nano-therapeutic to the stained cells. Green: HTB76 cancerous, and blue: NIH 3T3 fibroblast cells (106 DFU), in the presence of the individual TXT, TXT@Fe3O4/PVA/Au (Cargo), and TXT@Fe3O4/PVA/Au-SORT particles (Cargo-SORT) particles. Cell staining was performed using crystal violet, and incubation was carried out at 37 &#xb0;C with 95% humidity for 2 hours. Pretreatment was done with Ca(OH)2@Fe3O4/PVA/Au-SORT particles in the same dosage with the TXT-containing therapeutic (10&#x3bc;g/mL) (<xref ref-type="bibr" rid="B28">28</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g009.tif">
<alt-text content-type="machine-generated">Fluorescence microscopy images comparing fibroblast (3T3) and cancerous cells (ATCC HTB76) stained with different treatments: Cargo-SORT, Cargo-SORT Pretreated, Cargo, and Individual TXT. The images show three rows labeled as Stained cell, TXT, and Merge, displaying blue, green, and red fluorescence. Each column represents a different treatment method, showing cellular interactions and distribution. Scale bars indicate 50 micrometers.</alt-text>
</graphic>
</fig>
<p>Notably, AuNPs morphology critically influences therapeutic outcomes: anisotropic AuNPs@CSA-131 exhibit enhanced cytotoxicity against ovarian carcinoma versus spherical counterparts (<xref ref-type="bibr" rid="B124">124</xref>). Furthermore, AuNPs modulate drug presentation <italic>in vivo</italic>, facilitating theaflavin oxidation to cytotoxic quinone derivatives (<xref ref-type="bibr" rid="B125">125</xref>). Regarding therapeutic side effects, The triple-modality approach (ultrasound/AuNCs/cisplatin) overcomes cisplatin resistance in resistant ovarian cancer models, suggesting reduced chemotherapy side effects with translational potential (<xref ref-type="bibr" rid="B129">129</xref>).</p>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Intrinsic antitumor effects of AuNPs</title>
<p>AuNPs inhibit ovarian carcinoma invasiveness by targeting key oncogenic pathways: impeding MAPK signaling, suppressing EMT-associated proteins, and disrupting the IGFBP2/mTOR/PTEN autoregulatory axis, downregulating IGFBP2, suppressing PI3K/AKT/mTOR activation, and reactivating PTEN (<xref ref-type="bibr" rid="B130">130</xref>, <xref ref-type="bibr" rid="B131">131</xref>). Current understanding posits that AuNPs disrupt multicellular TME communication (cancer cells, cancer-associated fibroblasts, endothelial cells), downregulating pro-tumorigenic cytokines and growth factors (<xref ref-type="bibr" rid="B132">132</xref>, <xref ref-type="bibr" rid="B133">133</xref>). Specifically, they reduce CC-secreted fibroblast-activating proteins (TGF-&#x3b2;1, PDGF, uPA, TSP1) and inhibit tumor angiogenesis by blocking VEGF-VEGFR2 signalling (<xref ref-type="bibr" rid="B133">133</xref>, <xref ref-type="bibr" rid="B134">134</xref>). This positions AuNPs as key tools for elucidating and disrupting pro-tumorigenic crosstalk. AuNPs synchronize disulfidptosis and ferroptosis in ovarian cancer by modulating the SLC7A11/GSH/GPX4 axis (<xref ref-type="bibr" rid="B135">135</xref>). The composite system exploits AuNPs&#x2019; glucose oxidase-like activity and Ap-mediated GLUT1 downregulation to induce metabolic crisis (<xref ref-type="bibr" rid="B135">135</xref>). Glucose deprivation limits NADPH replenishment, disrupting cystine/cysteine conversion and resolving the disulfidptosis-ferroptosis execution paradox. Concurrently, iron-based components deliver Fe&#xb2;<sup>+</sup> while AuNPs-catalyzed glucose oxidation self-supplies H<sub>2</sub>O<sub>2</sub>, amplifying Fenton reactions and ferroptotic death (<xref ref-type="bibr" rid="B135">135</xref>).</p>
<p>Beyond influencing signalling pathways, AuNPs enhance nuclear rigidity via perinuclear laminA/C overexpression, impeding cancer cell migration (<xref ref-type="bibr" rid="B136">136</xref>). Concurrently, they induce ROS-mediated apoptosis/autophagy, trapping cells in G0/G1 phase (<xref ref-type="bibr" rid="B137">137</xref>). Anisotropic AuNPs exert enhanced anti-migratory effects versus spherical counterparts (<xref ref-type="bibr" rid="B138">138</xref>). Analogous to cervical cancer applications, morphological engineering of AuNPs enhances their cytotoxic efficacy against ovarian cancer cells. Irfan et&#xa0;al. attribute this phenomenon to elongated-branched antibody-functionalized AuNPs effectively evading serum protein corona entrapment, thereby facilitating optimal aptamer binding to HER2 receptors on cancer cell surfaces (<xref ref-type="bibr" rid="B139">139</xref>). This mechanism induces significant cytotoxicity in HER2-overexpressing SKOV3 cells through targeted apoptosis initiation.</p>
</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>High-efficiency photothermal tumor ablation utilizing AuNPs</title>
<p>AuNPs enable synergistic chemo-photothermal therapy for ovarian cancer (<xref ref-type="bibr" rid="B127">127</xref>, <xref ref-type="bibr" rid="B140">140</xref>). Yiting et&#xa0;al. engineered a genetically fused HSA nanocarrier (RHMH18@AuD) self-assembling via histidine hydrophobicity to encapsulate DTX while forming ultrasmall AuNPs through biomimetic mineralization (<xref ref-type="bibr" rid="B141">141</xref>). This 80-nm platform prevents HSA denaturation and reduces inorganic nanoparticle toxicity. MMP-2 cleavage at tumors releases RGD-HSA@Au (mediating photothermia) and His@DTX micelles, with acidic TME-triggered DTX release. The system demonstrated targeted cellular uptake, significant tumor suppression, and 100% survival at 70 days versus complete mortality in monotherapy groups by day 62, establishing a high-efficacy, low-toxicity therapeutic strategy.</p>
<p>Diverse AuNPs composites serve as photothermal agents for ovarian cancer PTT. rGO-AuNPs-PEG exhibits strong SERS signals, NIR-II PA signals, and high photothermal efficiency in tumours under 1061 nm laser irradiation (<xref ref-type="bibr" rid="B142">142</xref>). Similarly, silica nanocapsules containing aggregated AuNPs yolk-shell structures (aAuYS) demonstrate enhanced photothermal effects with 808 nm laser exposure (<xref ref-type="bibr" rid="B143">143</xref>). Curcumin-incorporated gold nanoshells (Cur-AuNShs) show efficient photothermal conversion with potential for selective cancer targeting and treatment. Additionally, AuNPs morphology influences PTT efficiency (<xref ref-type="bibr" rid="B144">144</xref>). For instance, dumbbell-shaped Au-Fe<sub>3</sub>O<sub>4</sub> elevate thermal conversion efficacy (<xref ref-type="bibr" rid="B145">145</xref>).</p>
<p>To overcome resolution limitations in image-guided PTT, Annan et&#xa0;al. developed ultra-small GnRHR-targeted AuNDs (Au-GRHa, 3.2nm) (<xref ref-type="bibr" rid="B146">146</xref>). Prepared via electrochemical displacement and ligand conjugation, these nanoconstructs enable dual-modal fluorescence/CT imaging with superior CT contrast (attenuation coefficient: 5.153cm&#xb2;/g) and renal clearance. GnRHa targeting boosted SKOV3 cellular uptake by 76% versus non-targeted counterparts. Under 808 nm irradiation, localized temperatures reached 50 &#xb0;C within 5 min, inducing apoptosis via membrane disruption and protein denaturation. <italic>In vivo</italic> peak tumor accumulation occurred at 2 h, with subsequent PTT significantly suppressing tumor growth without hemolysis or toxicity, establishing a precise image-guided therapeutic platform.</p>
<p>PDT and PTT act synergistically against ovarian cancer. A multifunctional nanomicrogel (Au@MSN&#x2013;Ter/THPP@CM@GelMA/CAT) demonstrates concurrent photodynamic efficacy (650nm) and photothermal ablation (980nm) (<xref ref-type="bibr" rid="B147">147</xref>).</p>
</sec>
<sec id="s3_2_4">
<label>3.2.4</label>
<title>Radiosensitization effects of AuNPs in radiotherapy</title>
<p>AuNPs exhibit radiosensitizing effects, exemplified by thioglucose-bound nanoparticles (Glu-GNPs) enhancing ovarian cancer radiotherapy (<xref ref-type="bibr" rid="B148">148</xref>). The GO-SPIO-Au nanoflower platform integrates graphene oxide (NIR-PTT), AuNPs (radiosensitization), and superparamagnetic iron oxide (MRI) for image-guided therapy (<xref ref-type="bibr" rid="B112">112</xref>). In murine models, combined PTT/RT yielded 1.85&#xd7; and 1.44&#xd7; higher efficacy than PTT or RT alone, respectively. Kinga et&#xa0;al. developed a novel cancer therapy combining antibody-drug conjugates (ADCs) with &#x3b2;-emitting &#xb9;<sup>98</sup>AuNPs conjugated to trastuzumab emtansine (T-DM1), demonstrating specific HER2 affinity and synergistic efficacy against HER2-overexpressing cancers at low T-DM1 doses (0.015~0.124&#x3bc;g/mL) with 10&#x2013;20 MBq/mL radiation (<xref ref-type="bibr" rid="B149">149</xref>). Continuous 7-day treatment (20 MBq/mL+0.031&#x3bc;g/mL T-DM1) disrupted 3D tumor spheroids, suggesting potential for HER2-positive breast/ovarian cancer treatment despite preferential suitability of inorganic nanoradiopharmaceuticals for localized delivery (<xref ref-type="fig" rid="f10">
<bold>Figure&#xa0;10</bold>
</xref>) (<xref ref-type="bibr" rid="B149">149</xref>).</p>
<fig id="f10" position="float">
<label>Figure&#xa0;10</label>
<caption>
<p>Microscopic images of the measured control and compound-treated SKOV-3 spheroids (<xref ref-type="bibr" rid="B149">149</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g010.tif">
<alt-text content-type="machine-generated">Grid showing microscopic images of samples over time (Day 0, Day 2, Day 3, Day 7) under different treatments. Columns represent varied compounds and activity concentrations, including ^198AuNPs, ^198AuNPs-T-DM1, T-DM1, and controls. Rows depict changes or stability in sample morphology over the specified days.</alt-text>
</graphic>
</fig>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Integrated diagnostic and therapeutic platform</title>
<p>AuNPs serve as pivotal components in multimodal theranostic platforms owing to their distinctive physicochemical properties, enabling visualized precision therapy of pathological lesions. Diversified therapeutic strategies demonstrate that targeted accumulation of AuNPs at disease sites generates synergistic effects, with imaging guidance being critical for maximizing diagnostic-therapeutic efficacy. Current research has developed functionalized AuNPs-based visualization approaches for gynecological malignancies. Zhang&#x2019;s team overcame single-modality imaging limitations by establishing a PAI/CT/MRI multimodal system centered on functionalized AuNPs, effectively addressing the low X-ray attenuation coefficient inherent to inorganic materials (<xref ref-type="bibr" rid="B67">67</xref>). At 200 &#xb5;g/mL, Au-UCNPs-DSPE-PEG precisely delineated cervical cancer location, dimensions and morphological characteristics in murine models, while their photothermal conversion capability simultaneously enabled photoacoustic imaging-guided combination photothermal and photodynamic therapy (<xref ref-type="bibr" rid="B67">67</xref>). Beyond physical modalities, AuNPs function as chemotherapeutic carriers. Taheri et&#xa0;al. employed CT to monitor TXT@AuNPs distribution for efficacy assessment, yet single-modality CT proved inadequate for tracking drug release kinetics (<xref ref-type="bibr" rid="B28">28</xref>). Wang&#x2019;s team addressed this through multimodal imaging (PAI/FL/CT) for real-time surveillance of drug-loaded AuNPs. Paclitaxel release induced fluorescence signal fluctuations due to AuNP surface restructuring while accelerating nanoparticle metabolic clearance, consequently reducing photoacoustic intensity in lesions (<xref ref-type="bibr" rid="B123">123</xref>). For quantitative release monitoring, Yim&#x2019;s team innovatively leveraged AuNPs&#x2019; low X-ray attenuation property (<xref ref-type="bibr" rid="B66">66</xref>). Electrostatic adsorption-triggered aggregation of radioiodinated AuNPs, occurring through opposite surface charges after DOX release, significantly enhanced lesion signals on PET-CT imaging (<xref ref-type="bibr" rid="B66">66</xref>). These aggregates maintained prolonged high-signal states due to extended half-life, enabling sustained dynamic observation.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Challenges and limitations</title>
<p>Despite being a promising nanomaterial, AuNPs must overcome several significant barriers prior to broad clinical adoption for diagnosing and treating gynecological malignancies.</p>
<p>The safety profile of AuNPs represents a modifiable property, critically dependent on factors such as particle size, synthesis method, exposure route, dosage duration, and the specific biological milieu (<xref ref-type="bibr" rid="B150">150</xref>, <xref ref-type="bibr" rid="B151">151</xref>). In numerous studies cited above, AuNPs are often assumed to be chemically inert and stable materials, particularly when PEG-modified, exhibiting negligible toxicity at certain doses. Merely 28 investigations to date have employed MTT assays and related techniques to evaluate the cytotoxicity of novel functionalized AuNPs toward normal cells or animal models. In the clinical context of managing gynecological malignancies, chemotherapy is typically a protracted process (<xref ref-type="bibr" rid="B152">152</xref>). Repeated administration of functionalized AuNPs during such long-term treatment carries a significant risk of inducing antibodies against the nanoparticle surface characteristics. This immunogenic response could potentially compromise the targeting efficacy of AuNPs and disrupt normal immune function. Furthermore, diverse AuNPs synthesis and functionalization strategies can leave toxic chemical residues on the particle surfaces. These modifications also alter the chemical properties and size of the AuNPs, potentially hindering renal clearance and leading to progressive bioaccumulation. Additionally, compared to free drugs, administering chemotherapeutic nanoparticles during ovulation increases ovarian toxicity and reduces fertility (<xref ref-type="bibr" rid="B153">153</xref>). Therefore, the menstrual cycle warrants consideration in the design and implementation of AuNPs therapies for female patients. These concerns underscore the necessity for further comprehensive evaluation of AuNPs systemic safety in humans and detailed investigation into nanoparticle pharmacokinetics to fully assess their absorption, distribution, metabolism, and excretion processes.</p>
<p>Addressing AuNP safety challenges requires systematic pharmacokinetic studies (absorption, distribution, metabolism, excretion) in animal models to define critical thresholds for nanoparticle-induced irreversible organ damage, enabling establishment of dimensionally-, morphologically-, and synthesis-method-dependent safety dosage windows across varied administration regimens. Green synthesis strategies utilizing novel catalysts demonstrate promising toxicological safety profiles, potentially representing key advancement pathways (<xref ref-type="bibr" rid="B75">75</xref>, <xref ref-type="bibr" rid="B76">76</xref>). Multifunctional AuNPs may shorten chemotherapy cycles while combined PTT and PDT therapies could circumvent antibody responses from chronic treatment (<xref ref-type="bibr" rid="B127">127</xref>, <xref ref-type="bibr" rid="B141">141</xref>). Nevertheless, large-scale animal validation remains indispensable; current maximum reported cohort sizes of 28 subjects prove insufficient, particularly given physiological disparities between rodent and human systems, necessitating expansion to rabbit and non-human primate models. These imperatives collectively emphasize comprehensive assessment of systemic AuNP safety in humans and rigorous pharmacokinetic investigation.</p>
<p>The diagnostic and therapeutic efficacy of AuNPs requires further validation. The majority of studies demonstrating potential benefits are confined to cell lines or small animal models, overlooking the substantial complexity of human physiology. In cervical cancer diagnostics, merely 15 of 34 peer-reviewed investigations disclosed clinical sample accuracy (n=9) or spiked serum analyte recovery (n=6), with two HPV detection reports achieving &gt;95% accuracy in cohorts exceeding 100 specimens. Regarding therapeutic applications, only 2 of 15 cervical cancer publications documented AuNP efficacy in murine models. Similarly, among 28 ovarian cancer diagnostic analyses, 18 provided clinical validation data (n=4) or serum recovery metrics (n=14), though clinical specimens numbered &#x2264;10 per analysis. Whereas 21 of 28 therapeutic investigations asserted significant antitumor outcomes, merely 9 confirmed efficacy in animal models with quantification parameters undisclosed. Humans are continuously exposed throughout life to diverse natural and anthropogenic nanoparticles. Such environmental nanoparticle contamination constitutes a significant exogenous interference factor, potentially impeding the function of administered AuNPs. For instance, titanium or iron oxide nanoparticles can inhibit cancer cell uptake of AuNPs (<xref ref-type="bibr" rid="B154">154</xref>). Beyond these exogenous factors, endogenous human variables also critically influence AuNPs performance. Evidence indicates that elevated cholesterol levels and specific lipid ratios disrupt the delivery capacity of DOX-AuNPs systems (<xref ref-type="bibr" rid="B155">155</xref>). Even in Phase III clinical trials, AuNPs-based drug delivery systems demonstrated suboptimal recognition efficiency for ovarian cancer, with the majority of intratumoral nanoparticles becoming either trapped within the extracellular matrix or sequestered by perivascular tumor-associated macrophages (<xref ref-type="bibr" rid="B156">156</xref>). Compounding these issues, many studies report human validation based on single-digit sample cohorts, lacking comparison with healthy individuals or non-gynecological cancer patients, and frequently omit detailed accuracy data (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material 1</bold>
</xref>).</p>
<p>Subsequent investigations must validate AuNPs&#x2019; true diagnostic-therapeutic efficacy through large-scale animal models and clinical trials, with priority assessment of their resistance to complex biological interferences including protein corona formation and lipid adsorption. Although functionalized AuNPs demonstrate anti-interference capabilities in select studies, the disparity between simulated laboratory conditions and physiological environments necessitates rigorous <italic>in vivo</italic> verification. Novel non-spherical geometries such as high-aspect-ratio nanostars effectively circumvent protein corona shielding while enhancing tumor targeting precision (<xref ref-type="bibr" rid="B139">139</xref>). Notably, nanoparticles within the 10~20 nm size range exhibit optimal performance, yet synthesis-dependent variations in AuNP dimensions/morphologies demand standardized evaluation frameworks to enable cross-study comparability and collaborative advancement. Furthermore, addressing prevalent data limitations stemming from insufficient clinical samples requires establishing multicenter validation frameworks. AuNPs&#x2019; therapeutic potential should transcend conventional drug delivery roles toward multimodal theranostic platforms, exemplified by triple-modality regimens integrating PTT, controlled chemotherapeutic release, and radiosensitization, with concurrent treatment monitoring via PAI and PET-CT. While four diagnostic investigations have incorporated machine learning for enhanced SERS-based high-throughput chip detection, deep learning applications in medical image interpretation remain unexplored. Integrating big data analytics with mobile health technologies could establish intelligent diagnostic networks to reduce misinterpretation risks.</p>
<p>Finally, the cost implications of AuNPs systems demand serious consideration. In resource-limited developing nations, economic constraints remain pivotal in restricting large-scale disease screening initiatives. Most current studies fail to address the cost structure of AuNPs-based diagnostic platforms, with only a handful reporting screening expenses or reusability metrics (<xref ref-type="bibr" rid="B157">157</xref>). A predominant focus on novel materials and intricate architectures, particularly acute within the domain of AuNPs-designed electrochemical sensors, often overshadows the underlying premise of screening: low cost and high accessibility. Furthermore, AuNPs synthesis methodologies themselves represent significant cost determinants, compounded by concerns regarding environmental impact and suboptimal production efficiency (<xref ref-type="bibr" rid="B151">151</xref>). These factors establish cost as a paramount consideration for the clinical translation of AuNPs technologies.</p>
<p>The convergence of artificial intelligence and low-cost smartphones offers a significant pathway to reduce expenditures associated with AuNP-based diagnostic systems, effectively lowering human resource requirements, time costs, and sample transport losses. Implementing a three-tier diagnostic network comprising colorimetric detection units, subject mobile client devices, and hospital data centres substantially enhances population screening efficiency. A core advantage of this system lies in the capacity for AI algorithms to perform localized processing directly on smartphones, enabling preliminary screening and interpretation of test results; only data indicating anomalies require transmission to the hospital data centre for verification, thereby markedly alleviating the healthcare burden in resource-limited settings. This tiered network fundamentally transforms the traditional hierarchical &#x201c;hospital-centric&#x2013;healthcare worker&#x2013;subject&#x201d; information delivery model. By empowering subjects with autonomous testing capabilities, it shifts the paradigm from passive information reception to proactive health management, significantly improving participant engagement and adherence. From a technological development perspective, research efforts should recalibrate their focus regarding AuNPs: prioritizing material design optimization that establishes an optimal cost-accuracy balance over the pursuit of increasingly complex material combinations; directing energy towards developing scalable, low-power manufacturing processes; and advancing clinical integration through modular designs that reduce the overall system cost.</p>
<p>Notably, clinical trials of AuNPs in gynaecological malignancies remain limited. However, recent human studies across non-gynaecological cancers, spanning breast cancer, colorectal carcinoma and cutaneous disorders, demonstrate expanding clinical evaluation (<xref ref-type="bibr" rid="B158">158</xref>&#x2013;<xref ref-type="bibr" rid="B162">162</xref>). These advances confirm that current implementation challenges are addressable and reveal diagnostic and therapeutic benefits warranting further translation in gynaecological oncology. Collectively, AuNPs systems exhibit significant potential for enhancing diagnostic accuracy, improving patient quality of life, and optimizing clinical prognoses. Looking forward, their unique physicochemical properties position AuNPs as transformative agents in next-generation gynecologic oncology, enabling minimally invasive theranostics, real-time disease monitoring, and personalized treatment regimens. Continued advancements in nanomaterial engineering, refined targeting methodologies, comprehensive safety evaluations, and integration of AI further solidify AuNPs platforms to assume an increasingly critical and expansive role in future integrated theranostic frameworks (<xref ref-type="fig" rid="f11">
<bold>Figure&#xa0;11</bold>
</xref>).</p>
<fig id="f11" position="float">
<label>Figure&#xa0;11</label>
<caption>
<p>Current diagnostic and therapeutic approaches utilizing AuNPs in cervical and ovarian cancers, and associated challenges and future prospects.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1664340-g011.tif">
<alt-text content-type="machine-generated">Flowchart illustrating the use of gold nanoparticles (AuNPs) from synthesis to future applications in 2025. Diagnoses strategies include colorimetric detection, electrochemical biosensors, SERS detection, and innovative imaging. Treatment strategies involve drug delivery, antitumor effects, photothermal tumor ablation, and radiosensitization in radiotherapy. Challenges highlighted are biosafety, diagnostic efficacy, and cost-effectiveness. Countermeasures recommend thorough validation, AI integration, and standardized frameworks. Graphical representations of color scales, imaging equipment, and lab icons support each point.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusion</title>
<p>Clinical management of gynecological malignancies faces significant challenges, including difficulties in early detection, high therapeutic resistance, substantial risks of residual disease post-surgery, and considerable toxicity from conventional radiotherapy and chemotherapy. These critical limitations demand innovative technological solutions for precision diagnostics and therapeutics. Recent advances in nanotechnology provide transformative momentum for gynecologic oncology, with AuNPs offering particularly promising strategies due to their tunable dimensions, morphological versatility, customizable surface functionalization, and unique optical properties. AuNPs serve as highly sensitive contrast agents that enhance detection rates for early-stage lesions and micrometastases. Functionalization with antibodies, peptides, or aptamers enables precise targeting of therapeutic payloads to disease sites and facilitates ultrasensitive detection of trace biomarkers in liquid biopsies. Furthermore, their exceptional photothermal conversion efficiency and photochemical capabilities permit concurrent targeted chemotherapy with spatially precise photothermal and photodynamic therapy at tumor sites. This integrated theranostic approach positions AuNPs-based systems to drive a paradigm shift from isolated interventions toward closed-loop precision management in gynecologic oncology. Nevertheless, further validation remains imperative to address clinical translation barriers and long-term safety profiles.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>SZ: Data curation, Formal Analysis, Methodology, Software, Writing &#x2013; original draft. TL: Data curation, Writing &#x2013; original draft. DJ: Data curation, Formal Analysis, Methodology, Writing &#x2013; original draft. HS: Data curation, Formal Analysis, Writing &#x2013; review &amp; editing. HH: Supervision, Writing &#x2013; review &amp; editing. ZF: Funding acquisition, Resources, Writing &#x2013; review &amp; editing. XS: Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This study was financially supported by the National Natural Science Foundation of China (NO.82173327, NO.82272916).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We also thank Biorender for the templates used in the graphical abstract and <xref ref-type="fig" rid="f11">
<bold>Figure&#xa0;11</bold>
</xref>.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2025.1664340/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2025.1664340/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.xlsx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
</sec>
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<glossary>
<title>Glossary</title>
<def-list>
<def-item>
<term>FDA</term>
<def>
<p>US Food and Drug Administration</p>
</def>
</def-item>
<def-item>
<term>PEG</term>
<def>
<p>Polyethylene glycol</p>
</def>
</def-item>
<def-item>
<term>OCT</term>
<def>
<p>Optical coherence tomography</p>
</def>
</def-item>
<def-item>
<term>VIA</term>
<def>
<p>Visual inspection with acetic acid</p>
</def>
</def-item>
<def-item>
<term>LOD</term>
<def>
<p>Limit of detection</p>
</def>
</def-item>
<def-item>
<term>LFA</term>
<def>
<p>Lateral flow assay</p>
</def>
</def-item>
<def-item>
<term>PDA</term>
<def>
<p>Polydopamine</p>
</def>
</def-item>
<def-item>
<term>PEBA</term>
<def>
<p>Photoelectrochemical biochip array</p>
</def>
</def-item>
<def-item>
<term>MLNPs</term>
<def>
<p>Multilayered nanoparticles</p>
</def>
</def-item>
<def-item>
<term>WS<sub>2</sub>
</term>
<def>
<p>Tungsten disulfide</p>
</def>
</def-item>
<def-item>
<term>MoS<sub>2</sub>
</term>
<def>
<p>Molybdenum disulfide</p>
</def>
</def-item>
<def-item>
<term>ND</term>
<def>
<p>Neutral density filter</p>
</def>
</def-item>
<def-item>
<term>4-MBA</term>
<def>
<p>4-Mercaptobenzoic acid</p>
</def>
</def-item>
<def-item>
<term>DTNB</term>
<def>
<p>5,5&#x2032;-Dithiobis-(2-nitrobenzoic acid)</p>
</def>
</def-item>
<def-item>
<term>4,4&#x2032;-DP</term>
<def>
<p>4,4&#x2032;-Dipyridyl</p>
</def>
</def-item>
<def-item>
<term>RGD</term>
<def>
<p>Arginylglycylaspartic acid peptide</p>
</def>
</def-item>
<def-item>
<term>NLS</term>
<def>
<p>Nuclear localization signal</p>
</def>
</def-item>
<def-item>
<term>TAP</term>
<def>
<p>Tris(2-aminophenol)</p>
</def>
</def-item>
<def-item>
<term>PHEN</term>
<def>
<p>1,10-Phenanthroline</p>
</def>
</def-item>
<def-item>
<term>3-MPA</term>
<def>
<p>3-Mercaptopropionic acid</p>
</def>
</def-item>
<def-item>
<term>TLR7/8</term>
<def>
<p>Toll-like receptors 7/8</p>
</def>
</def-item>
<def-item>
<term>MPA</term>
<def>
<p>3-Mercaptopropionic acid</p>
</def>
</def-item>
<def-item>
<term>MPS</term>
<def>
<p>3-Mercaptopropyltrimethoxysilane</p>
</def>
</def-item>
<def-item>
<term>PVP</term>
<def>
<p>Polyvinylpyrrolidone</p>
</def>
</def-item>
<def-item>
<term>ECM</term>
<def>
<p>Extracellular matrix</p>
</def>
</def-item>
<def-item>
<term>RNS</term>
<def>
<p>Reactive nitrogen species</p>
</def>
</def-item>
<def-item>
<term>MB</term>
<def>
<p>Methylene blue</p>
</def>
</def-item>
<def-item>
<term>Pp-IX</term>
<def>
<p>Protoporphyrin IX</p>
</def>
</def-item>
<def-item>
<term>AuNRs</term>
<def>
<p>Gold nanorods</p>
</def>
</def-item>
<def-item>
<term>DEF</term>
<def>
<p>Dose enhancement factor</p>
</def>
</def-item>
<def-item>
<term>FFPE</term>
<def>
<p>Formalin-fixed paraffin-embedded</p>
</def>
</def-item>
<def-item>
<term>AGR2</term>
<def>
<p>Anterior gradient 2</p>
</def>
</def-item>
<def-item>
<term>Mg/Fe LDH</term>
<def>
<p>Mg/Fe-layered double hydroxide</p>
</def>
</def-item>
<def-item>
<term>PAMAM</term>
<def>
<p>Polyamidoamine</p>
</def>
</def-item>
<def-item>
<term>MXene</term>
<def>
<p>Transition metal carbide/nitride</p>
</def>
</def-item>
<def-item>
<term>MOF</term>
<def>
<p>Metal-organic framework</p>
</def>
</def-item>
<def-item>
<term>GQD</term>
<def>
<p>Graphene quantum dot</p>
</def>
</def-item>
<def-item>
<term>DLS</term>
<def>
<p>Dynamic light scattering</p>
</def>
</def-item>
<def-item>
<term>TIMO<sup>+</sup>F-KB@AuNPs</term>
<def>
<p>Thiolated Ionic Metal-Organic Framework-KB@AuNPs</p>
</def>
</def-item>
<def-item>
<term>PB</term>
<def>
<p>Prussian blue</p>
</def>
</def-item>
<def-item>
<term>CoFeB</term>
<def>
<p>Cobalt iron boride</p>
</def>
</def-item>
<def-item>
<term>CDDP</term>
<def>
<p>Cisplatin</p>
</def>
</def-item>
<def-item>
<term>sEV</term>
<def>
<p>Small extracellular vesicles</p>
</def>
</def-item>
<def-item>
<term>VOCs</term>
<def>
<p>Volatile organic compounds</p>
</def>
</def-item>
<def-item>
<term>HYNIC</term>
<def>
<p>Hydrazinonicotinamide</p>
</def>
</def-item>
<def-item>
<term>GO/SPIO/AuNP</term>
<def>
<p>Graphene oxide/superparamagnetic iron oxide/gold nanoparticle</p>
</def>
</def-item>
<def-item>
<term>ICP-MS</term>
<def>
<p>Inductively coupled plasma mass spectrometry</p>
</def>
</def-item>
<def-item>
<term>FLIM</term>
<def>
<p>Fluorescence lifetime imaging microscopy</p>
</def>
</def-item>
<def-item>
<term>SCRM</term>
<def>
<p>Scanning confocal Raman microscopy</p>
</def>
</def-item>
<def-item>
<term>FSH33</term>
<def>
<p>Follicle-stimulating hormone peptide fragment</p>
</def>
</def-item>
<def-item>
<term>VEGF</term>
<def>
<p>Vascular endothelial growth factor</p>
</def>
</def-item>
<def-item>
<term>PVA</term>
<def>
<p>Poly</p>
</def>
</def-item>
<def-item>
<term>AuNCs</term>
<def>
<p>Gold nanoclusters</p>
</def>
</def-item>
<def-item>
<term>PDGF</term>
<def>
<p>Platelet-Derived Growth Factor</p>
</def>
</def-item>
<def-item>
<term>uPA</term>
<def>
<p>Urokinase-Type Plasminogen Activator</p>
</def>
</def-item>
<def-item>
<term>TSP1</term>
<def>
<p>Thrombospondin-1</p>
</def>
</def-item>
<def-item>
<term>Fe-Ap</term>
<def>
<p>Iron-Apigenin</p>
</def>
</def-item>
<def-item>
<term>AuNSs</term>
<def>
<p>Gold nanostructures</p>
</def>
</def-item>
<def-item>
<term>HSA</term>
<def>
<p>Human Serum Albumin</p>
</def>
</def-item>
<def-item>
<term>MMP-2</term>
<def>
<p>Matrix Metalloproteinase-2</p>
</def>
</def-item>
<def-item>
<term>rGO</term>
<def>
<p>Reduced Graphene Oxide</p>
</def>
</def-item>
<def-item>
<term>aAuYS</term>
<def>
<p>Aggregated Gold Yolk-Shell</p>
</def>
</def-item>
<def-item>
<term>Cur-AuNShs</term>
<def>
<p>Curcumin-Incorporated Gold Nanoshells</p>
</def>
</def-item>
<def-item>
<term>GnRHR</term>
<def>
<p>Gonadotropin-releasing Hormone Receptor</p>
</def>
</def-item>
<def-item>
<term>AuNDs</term>
<def>
<p>Gold nanodots</p>
</def>
</def-item>
<def-item>
<term>EDC</term>
<def>
<p>1-Ethyl-3-(3-dimethylaminopropyl)carbodiimide</p>
</def>
</def-item>
<def-item>
<term>NHS</term>
<def>
<p>N-Hydroxysuccinimide</p>
</def>
</def-item>
<def-item>
<term>Au@MSN</term>
<def>
<p>Gold-coated Mesoporous Silica Nanoparticles</p>
</def>
</def-item>
<def-item>
<term>Ter</term>
<def>
<p>Terthiophene</p>
</def>
</def-item>
<def-item>
<term>THPP</term>
<def>
<p>Tetrakis(4-hydroxyphenyl)porphyrin</p>
</def>
</def-item>
<def-item>
<term>GelMA</term>
<def>
<p>Gelatin Methacryloyl</p>
</def>
</def-item>
<def-item>
<term>sNPS</term>
<def>
<p>Single-Nanoparticle Sensing System</p>
</def>
</def-item>
<def-item>
<term>MutS</term>
<def>
<p>DNA Mismatch Repair Protein</p>
</def>
</def-item>
<def-item>
<term>EpCAM</term>
<def>
<p>Epithelial cell adhesion molecule</p>
</def>
</def-item>
<def-item>
<term>COF</term>
<def>
<p>Covalent Organic Framework</p>
</def>
</def-item>
<def-item>
<term>Apt</term>
<def>
<p>Aptamer</p>
</def>
</def-item>
<def-item>
<term>LDI-MS</term>
<def>
<p>Laser Desorption/Ionization Mass Spectrometry</p>
</def>
</def-item>
<def-item>
<term>EMS</term>
<def>
<p>Endometriosis</p>
</def>
</def-item>
<def-item>
<term>EphB4</term>
<def>
<p>Ephrin type-B receptor 4</p>
</def>
</def-item>
<def-item>
<term>IDEs</term>
<def>
<p>Interdigitated electrodes</p>
</def>
</def-item>
<def-item>
<term>CDI</term>
<def>
<p>1,1&#x2032;-Carbonyldiimidazole</p>
</def>
</def-item>
<def-item>
<term>MWCNT</term>
<def>
<p>Multi-walled carbon nanotubes</p>
</def>
</def-item>
<def-item>
<term>APTES</term>
<def>
<p>3-Aminopropyl)triethoxysilane</p>
</def>
</def-item>
<def-item>
<term>SA-HRP</term>
<def>
<p>Streptavidin-Horseradish Peroxidase</p>
</def>
</def-item>
<def-item>
<term>GCE</term>
<def>
<p>Glassy carbon electrode</p>
</def>
</def-item>
<def-item>
<term>ZnO NRs</term>
<def>
<p>Zinc Oxide Nanorods</p>
</def>
</def-item>
<def-item>
<term>ERGO</term>
<def>
<p>Electrochemically Reduced Graphene Oxide</p>
</def>
</def-item>
<def-item>
<term>SPCE</term>
<def>
<p>Screen-Printed Carbon Electrode</p>
</def>
</def-item>
<def-item>
<term>FTO</term>
<def>
<p>Fluorine-Doped Tin Oxide</p>
</def>
</def-item>
<def-item>
<term>TDN</term>
<def>
<p>Tetrahedral DNA Nanostructure</p>
</def>
</def-item>
<def-item>
<term>TMSD</term>
<def>
<p>Toehold-Mediated Strand Displacement</p>
</def>
</def-item>
<def-item>
<term>ZIF</term>
<def>
<p>Zeolitic Imidazolate Framework</p>
</def>
</def-item>
<def-item>
<term>PTH/PTB</term>
<def>
<p>Polythiophene</p>
</def>
</def-item>
<def-item>
<term>DSPCE</term>
<def>
<p>Double-Screen Printed Carbon Electrode</p>
</def>
</def-item>
<def-item>
<term>DES</term>
<def>
<p>Deep Eutectic Solvent</p>
</def>
</def-item>
<def-item>
<term>CuCo-ONSs</term>
<def>
<p>Copper-Cobalt Oxide Nanosheets</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</article>