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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
</journal-title-group>
<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.2026.1768984</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Characterization of skin adverse events associated with cetuximab: real-world insights from the two global pharmacovigilance databases of FAERS and VigiAccess</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Chenwen</given-names></name>
<uri xlink:href="https://loop.frontiersin.org/people/3316429/overview"/>
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<name><surname>Gao</surname><given-names>Yifei</given-names></name>
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<name><surname>Guang</surname><given-names>Min</given-names></name>
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<name><surname>Wu</surname><given-names>Huajuan</given-names></name>
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<contrib contrib-type="author">
<name><surname>Li</surname><given-names>Yunfei</given-names></name>
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<name><surname>Lu</surname><given-names>Yaqing</given-names></name>
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<name><surname>Wei</surname><given-names>Yan</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Li</surname><given-names>Xueli</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Yang</surname><given-names>Li</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><institution>Department of Dermatology, Henan Provincial People&#x2019;s Hospital, Henan University People&#x2019;s Hospital</institution>, <city>Zhengzhou</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Xueli Li, <email xlink:href="mailto:13598066866@139.com">13598066866@139.com</email>; Li Yang, <email xlink:href="mailto:19423427@qq.com">19423427@qq.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-16">
<day>16</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>16</volume>
<elocation-id>1768984</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Li, Gao, Guang, Wu, Li, Lu, Wei, Li and Yang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Li, Gao, Guang, Wu, Li, Lu, Wei, Li and Yang</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-16">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Cetuximab, an IgG1 monoclonal antibody targeting the epidermal growth factor receptor (EGFR), is widely used in metastatic colorectal cancer and other solid tumors. Cutaneous adverse events (AEs) are among its most frequent toxicities, but real-world evidence on their spectrum and risk profile remains limited.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a pharmacovigilance study using spontaneous reports from the FDA Adverse Event Reporting System (FAERS) and the World Health Organization VigiAccess database, from database inception to 2025. Reports in which cetuximab was recorded as the primary suspected drug were retrieved. After deduplication, AEs were coded using MedDRA preferred terms (PTs) and system organ classes. Descriptive analyses were performed, and disproportionality was evaluated using reporting odds ratio (ROR), proportional reporting ratio (PRR), empirical Bayes geometric mean (EBGM), and information component (IC). Subgroup analyses by age and sex were conducted using FAERS data.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 69,588 reports were identified, including 20,862 from FAERS and 48,726 from VigiAccess. Most reports involved male patients and those aged 45&#x2013;64 or &#x2265;65 years. Skin and subcutaneous tissue disorders showed significant disproportionality signals for cetuximab (FAERS: ROR 2.58, 95% CI 2.52&#x2013;2.65; VigiAccess: ROR 2.73, 95% CI 2.69&#x2013;2.77). The most frequently reported skin-related PTs were rash, dermatitis acneiform, and erythema in FAERS, and rash, acne, and dermatitis acneiform in VigiAccess. The strongest signals were observed for dermatitis acneiform, nail bed inflammation, and rash follicular in FAERS, and for dermatitis acneiform, nail cuticle fissure, and nail fold inflammation in VigiAccess. Subgroup analyses indicated that skin AEs were more commonly reported in patients older than 45 years and in males.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Real-world pharmacovigilance data from two independent international databases demonstrate consistent and strong disproportionality signals for cetuximab-associated cutaneous AEs. Common events such as rash and dermatitis acneiform, as well as several less frequently described reactions, warrant heightened clinical vigilance, especially in older and male patients. Prospective and mechanistic studies are needed to confirm these associations and to refine strategies for preventing and managing cetuximab-induced skin toxicity.</p>
</sec>
</abstract>
<kwd-group>
<kwd>cetuximab</kwd>
<kwd>disproportionality analysis</kwd>
<kwd>FAERS</kwd>
<kwd>skin adverse events</kwd>
<kwd>VigiAccess</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work was supported by the Project of Henan Provincial Medical Science and Technology Research and Development Program (no: LHGJ20220015).</funding-statement>
</funding-group>
<counts>
<fig-count count="6"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="12"/>
<word-count count="4913"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Molecular Targets and Therapeutics</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Colorectal cancer (CRC) remains one of the most common malignancies worldwide. According to the most recent global cancer statistics from GLOBOCAN 2022, there were approximately 1.9 million new CRC cases and 0.9 million CRC-related deaths globally, making CRC the third most frequently diagnosed cancer and the second leading cause of cancer death worldwide. By 2040, global CRC cases are projected to increase further, potentially exceeding 3.2 million new cases annually (<xref ref-type="bibr" rid="B1">1</xref>). Historically, the identification of CRC has relied heavily on histopathological analysis (<xref ref-type="bibr" rid="B2">2</xref>), while the main clinical symptoms include alterations in bowel patterns, abdominal pain, and rectal hemorrhage (<xref ref-type="bibr" rid="B3">3</xref>). Notably, 20% of patients present with metastatic disease at the time of their initial diagnosis. Recently, significant advancements have been made in improving the prognosis for metastatic colorectal cancer (mCRC), largely due to the introduction of new molecular targeted therapies. Notably, agents targeting epidermal growth factor receptor (EGFR) have demonstrated considerable clinical efficacy (<xref ref-type="bibr" rid="B4">4</xref>). Elevated levels of EGFR are observed in various epithelial tumors, including those of the prostate, breast, head and neck, as well as gastrointestinal cancers (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). In CRC, the expression of EGFR is significantly higher than that in normal colorectal mucosa (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). In 2004, the U.S. Food and Drug Administration approved cetuximab, an IgG1 monoclonal antibody that specifically targets EGFR, for the treatment of CRC.</p>
<p>Cetuximab is a chimeric monoclonal antibody composed of both human and murine components that competitively binds to the extracellular domain of EGFR (<xref ref-type="bibr" rid="B10">10</xref>). This binding inhibits dimerization, thereby disrupting intracellular signaling pathways. Consequently, several effects occur, including the inhibition of cancer cell proliferation, enhancement of apoptosis, and reduction in the production of matrix metalloproteinases (<xref ref-type="bibr" rid="B11">11</xref>). In recent years, significant advancements have been made in the management of mCRC through the use of cetuximab in conjunction with chemotherapy (<xref ref-type="bibr" rid="B12">12</xref>). Moreover, research has explored the use of cetuximab in treating various malignant tumors, including breast cancer, pancreatic cancer, head and neck squamous cell carcinoma (<xref ref-type="bibr" rid="B13">13</xref>), and esophageal squamous cell carcinoma (<xref ref-type="bibr" rid="B14">14</xref>). Consequently, the widespread application of cetuximab underscores the necessity of understanding its associated adverse effects, which may include mucosal inflammation, rash, myelosuppression, gastrointestinal issues (such as nausea, vomiting, diarrhea, and constipation), and interstitial pneumonia (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). While clinical studies (<xref ref-type="bibr" rid="B18">18</xref>) have indicated that skin reactions are the most common adverse effects, there remains a significant lack of comprehensive real-world research to thoroughly evaluate the cutaneous safety profile of cetuximab.</p>
<p>The FDA Adverse Event Reporting System (FAERS) and VigiAccess are two primary databases for spontaneous reporting, providing essential real-world evidence for pharmacovigilance in the post-marketing phase (<xref ref-type="bibr" rid="B19">19</xref>). Managed by the U.S. Food and Drug Administration, FAERS plays a critical role in identifying safety signals related to adverse events (AEs) associated with approved pharmaceuticals and biological products (<xref ref-type="bibr" rid="B20">20</xref>). VigiAccess, developed and maintained by the Uppsala Monitoring Centre on behalf of the World Health Organization (WHO), serves as a global database for suspected adverse drug reactions, facilitating the timely identification of safety issues across diverse populations and therapeutic contexts (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). As cetuximab becomes more widely used in clinical settings, it is essential to comprehend its adverse effect profile in detail, especially regarding cutaneous toxicity, to improve patient safety and guide treatment approaches. This study employs two reputable datasets, FAERS and VigiAccess, to assess the potential for cutaneous adverse events linked to cetuximab, with the goal of enhancing its safety profile and offering evidence-based recommendations for healthcare providers and policymakers in the management of these occurrences.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Data source</title>
<p>The FAERS and VigiAccess databases, which are accessible to the public, gather worldwide reports concerning adverse events (AEs), medication errors, and complaints regarding product quality from both healthcare providers and consumers. These two interconnected systems function as vital tools for overseeing post-market drug safety and facilitate thorough assessments of the risks linked to medications.</p>
<p>This study included human participants and adhered to the applicable regulations and policies of the institution. As a result, ethical clearance was not necessary. In line with national and institutional protocols, it was not obligatory to acquire written informed consent from participants or their legal guardians or family members for involvement.</p>
<p>In this study, adverse event (AE) reports related to cetuximab were gathered from the FAERS and VigiAccess databases. The data retrieval period for the study encompassed the entirety of each database&#x2019;s available records, extending from their inception until the second quarter of 2025 for the FAERS database and up to December 2024 for the VigiAccess database. This comprehensive timeframe ensures a robust analysis of the data trends and patterns relevant to the study objectives. The gathered information encompassed patient demographic details, including age and gender, in addition to the classification of AEs based on system organ class (SOC). To guarantee the data&#x2019;s precision and dependability, a thorough deduplication procedure was carried out to remove duplicate entries, thereby retaining only complete and pertinent records for further analysis. The overall workflow for data processing is illustrated in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flow diagram for the selection of skin AEs with Cetuximab from the FAERS and VigiAccess databases.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1768984-g001.tif">
<alt-text content-type="machine-generated">Flowchart comparing case identification processes for cetuximab-associated skin adverse events in FAERS and VigiBase databases from two thousand four to two thousand twenty-five, outlining drug screening, deduplication, adverse event screening, manual review, case assessment, and resulting valid case numbers for each dataset.</alt-text>
</graphic></fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data extraction, processing and AE description methodology</title>
<p>For FAERS, raw quarterly ASCII data from Q1&#x2013;2004 to Q2&#x2013;2025 were downloaded from the FDA website and processed using SAS (version 9.4). Drug names were standardized according to the WHO Drug Dictionary, and reports were identified using the generic name &#x201c;cetuximab,&#x201d; with only cases in which cetuximab was recorded as the primary suspected (PS) drug retained. Deduplication was performed in accordance with FDA recommendations by consolidating reports with the same CASEID and retaining the record with the most recent FDA_DT; when both CASEID and FDA_DT were identical, the report with the largest PRIMARYID was kept, and deleted cases listed in FDA quarterly deletion files were excluded. All adverse events were recoded using the latest version of MedDRA and mapped to Preferred Terms (PTs) and System Organ Classes (SOCs), after which skin-related adverse events were identified based on MedDRA skin and subcutaneous tissue disorder terms. Reports not primarily related to skin adverse events were further excluded through manual review.</p>
<p>For VigiAccess, data were retrieved from the WHO VigiBase via the VigiAccess platform using automated queries based on WHO Drug Dictionary BASENAME entries, and duplicate reports were handled by the VigiMatch algorithm, the standard WHO&#x2013;Uppsala Monitoring Centre method for identifying duplicate individual case safety reports. Skin adverse events were identified using the Standardized MedDRA Query (SMQ) for skin and subcutaneous tissue disorders (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). After applying all filtering and deduplication steps, the remaining valid cases from both databases were included in subsequent disproportionality analyses.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Signal mining methodology</title>
<p>Disproportionality analysis, recognized as a prominent method in the field of post-marketing pharmacovigilance, was employed as the primary strategy for signal detection in this investigation. Four conventional metrics were applied: Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Empirical Bayes Geometric Mean (EBGM), and Bayesian Confidence Propagation Neural Network (BCPNN). ROR was used as the primary signal detection metric, while PRR, EBGM, and IC were applied as complementary methods for robustness assessment (<xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Table S1</bold></xref>). These additional algorithms aided in uncovering possible safety signals related to skin adverse events connected to cetuximab. Data extraction and statistical analyses were conducted independently by two investigators utilizing IBM<sup>&#xae;</sup> SPSS<sup>&#xae;</sup> Statistics (version 27.0) and R software (version&#xa0;4.3), ensuring the reliability and reproducibility of the findings.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Descriptive analysis</title>
<p>This study investigated adverse reactions associated with cetuximab using data from the FAERS and VigiAccess databases. A total of 69,588 AE reports were identified, including 20,862 from FAERS and 48,726 from VigiAccess (<xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>). In the FAERS database, 5,670 reports (27.18%) were submitted by female patients and 12,336 reports (59.13%) by male patients. Similarly, in the VigiAccess database, 15,013 reports (30.81%) were associated with female patients and 30,483 reports (62.56%) with male patients, indicating a slightly higher reporting frequency of AEs among males in both databases.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Reported characteristics of adverse events associated with Cetuximab.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Characteristics</th>
<th valign="middle" align="center">FAERS (n=20862)</th>
<th valign="middle" align="center">Vigiaccess (n=48726)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="3" align="left">Gender, n (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Female</td>
<td valign="middle" align="center">5670 (27.18)</td>
<td valign="middle" align="center">15013 (30.81)</td>
</tr>
<tr>
<td valign="middle" align="center">Male</td>
<td valign="middle" align="center">12336 (59.13)</td>
<td valign="middle" align="center">30483 (62.56)</td>
</tr>
<tr>
<td valign="middle" align="center">Unknown</td>
<td valign="middle" align="center">2856 (13.69)</td>
<td valign="middle" align="center">3230 (6.63)</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Age (years), n (%)</th>
</tr>
<tr>
<td valign="middle" align="center">&lt;18 (%)</td>
<td valign="middle" align="center">16 (0.08)</td>
<td valign="middle" align="center">49 (0.11)</td>
</tr>
<tr>
<td valign="middle" align="center">18-44 (%)</td>
<td valign="middle" align="center">922 (4.42)</td>
<td valign="middle" align="center">3165 (6.5)</td>
</tr>
<tr>
<td valign="middle" align="center">45-64 (%)</td>
<td valign="middle" align="center">6942 (33.28)</td>
<td valign="middle" align="center">17403 (35.72)</td>
</tr>
<tr>
<td valign="middle" align="center">&#x2265;65 (%)</td>
<td valign="middle" align="center">6685 (32.04)</td>
<td valign="middle" align="center">16019 (32.88)</td>
</tr>
<tr>
<td valign="middle" align="center">Not Specified (%)</td>
<td valign="middle" align="center">6297 (30.18)</td>
<td valign="middle" align="center">12090 (24.81)</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Reporting country (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Americas (%)</td>
<td valign="middle" align="center">10313 (49.44)</td>
<td valign="middle" align="center">23880 (49.01)</td>
</tr>
<tr>
<td valign="middle" align="center">Europe (%)</td>
<td valign="middle" align="center">7835 (37.56)</td>
<td valign="middle" align="center">11985 (24.6)</td>
</tr>
<tr>
<td valign="middle" align="center">Asia (%)</td>
<td valign="middle" align="center">1407 (6.74)</td>
<td valign="middle" align="center">11649 (23.91)</td>
</tr>
<tr>
<td valign="middle" align="center">Oceania (%)</td>
<td valign="middle" align="center">44 (0.21)</td>
<td valign="middle" align="center">473 (0.97)</td>
</tr>
<tr>
<td valign="middle" align="center">Africa (%)</td>
<td valign="middle" align="center">11 (0.05)</td>
<td valign="middle" align="center">739 (1.52)</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Reports n (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Consumer (%)</td>
<td valign="middle" align="center">11903 (57.06)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Other health-professional (%)</td>
<td valign="middle" align="center">5024 (24.08)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Physician (%)</td>
<td valign="middle" align="center">2288 (10.97)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Pharmacist (%)</td>
<td valign="middle" align="center">1252 (6.00)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Lawyer (%)</td>
<td valign="middle" align="center">2 (0.01)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Not Specified (%)</td>
<td valign="middle" align="center">393 (1.88)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Outcome n (%)</th>
</tr>
<tr>
<td valign="middle" align="center">Hospitalization-Initial or Prolonged (%)</td>
<td valign="middle" align="center">7915 (37.94)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Death (%)</td>
<td valign="middle" align="center">2307 (11.06)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Life-Threatening (%)</td>
<td valign="middle" align="center">1704 (8.17)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Disability (%)</td>
<td valign="middle" align="center">360 (1.73)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Required Intervention to Prevent Permanent Impairment/Damage (%)</td>
<td valign="middle" align="center">119 (0.57)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Congenital Anomaly (%)</td>
<td valign="middle" align="center">3 (0.01)</td>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">Other (%)</td>
<td valign="middle" align="center">8331 (39.93)</td>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
</table-wrap>
<p>Concerning the distribution of ages in FAERS, the highest percentage of adverse event reports related to cetuximab was found in individuals aged 45&#x2013;64 years (n = 6,942; 33.28%). This was followed by patients aged 65 years and older (n = 6,685; 32.04%) and those aged 18&#x2013;44 years (n = 922; 4.42%). A comparable trend appeared in VigiAccess, where the predominant number of reports came from patients aged 45&#x2013;64 years (n = 17,403; 35.72%), followed by individuals aged 65 years and above (n = 16,019; 32.88%) and those in the 18&#x2013;44 age range (n = 3,165; 6.50%).</p>
<p>Geographically, in FAERS, the majority of reports originated from the Americas (n = 10,313; 49.44%), followed by Europe (n = 7,835; 37.56%). Likewise, in VigiAccess, most reports were from the Americas (n = 23,880; 49.01%), with additional contributions from Europe (n = 11,985; 24.60%) and Asia (n = 11,649; 23.91%). Temporal analysis revealed that the peak reporting years were 2013 for FAERS (1,552 cases) and 2024 for VigiAccess (5,124 cases), as shown in <xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The annual number of reported AEs associated with cetuximab in the FAERS and VigiAccess databases.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1768984-g002.tif">
<alt-text content-type="machine-generated">Stacked horizontal bar chart comparing reporting proportions of various skin-related adverse effects between two databases: FAERS Rash (blue) and VigiAccess Rash (red). Values and labels are provided for each condition.</alt-text>
</graphic></fig>
<p>In the FAERS database, the largest proportion of cetuximab-related AE reports was submitted by consumers (n = 11,903; 57.06%), followed by other health professionals (n = 5,024; 24.08%), physicians (n = 2,288; 10.97%), and pharmacists (n = 1,252; 6.00%). Among reported outcomes, hospitalization occurred in 7,915 cases (37.94%), and significant medical events were recorded in 8,331 reports (39.93%). Notably, 2,307 fatal cases (11.06%) were reported, indicating the potential severity of cetuximab-associated AEs.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>skin AEs associated with cetuximab from two databases</title>
<p>The assessment of skin AEs related to cetuximab, as outlined in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>, revealed consistent results in both datasets. The ROR were found to be 2.58 (95% confidence interval [CI]: 2.52, 2.65) for the FAERS database and 2.73 (95% CI: 2.69, 2.77) for VigiAccess, showing a significant correlation between cetuximab and skin AEs. To enhance the understanding of the skin toxicity spectrum, a <italic>post hoc</italic> analysis was conducted at the PT level using combined data from both databases. <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref> and <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref> display the 15 most common skin-related PTs associated with cetuximab, along with their respective RORs shown in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>. Within the FAERS database, the PTs most frequently reported were rash (n = 1841), acneiform dermatitis (n = 596), and erythema (n = 442). In contrast, the VigiAccess database revealed the most prevalent PTs as rash (n = 6232), acne (n = 1996), and acneiform dermatitis (n = 1442). <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref> illustrates a strong correlation between the two data sources. Additionally, the disproportionality analysis identified notable safety signals for various skin adverse events linked to cetuximab, with comprehensive details available in <xref ref-type="supplementary-material" rid="SF1"><bold>Supplementary Table S1</bold></xref>. In the FAERS database, the highest reporting odds ratios (RORs) were noted for dermatitis acneiform (ROR = 125.64; 95% CI: 115.36, 136.85), inflammation of nail beds (ROR = 66.70; 95% CI: 40.84, 108.94), and follicular rash (ROR = 53.29; 95% CI: 24.93, 113.93). Likewise, in VigiAccess, dermatitis acneiform (ROR = 122.62; 95% CI: 116.08, 129.52), fissures in nail cuticles (ROR = 85.96; 95% CI: 39.80, 185.67), and inflammation of nail folds (ROR = 74.97; 95% CI: 27.20, 206.63) showed significantly elevated signal values. These results highlight the essential importance of monitoring skin toxicity in patients undergoing treatment with cetuximab, especially concerning nail fold inflammation and dermatitis acneiform.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Signal detection of Cetuximab-associated skin disorder adverse events from two databases.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Cetuximab</th>
<th valign="middle" align="left">The report number</th>
<th valign="middle" align="left">ROR (95%CI)</th>
<th valign="middle" align="left">PRR (&#x3c7;2)</th>
<th valign="middle" align="left">EBGM (EBGM05)</th>
<th valign="middle" align="left">IC (IC025)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">FAERS</td>
<td valign="middle" align="center">7163</td>
<td valign="middle" align="left">2.58 (2.52,2.65)</td>
<td valign="middle" align="left">2.38 (6030.76)</td>
<td valign="middle" align="left">2.37 (2.32)</td>
<td valign="middle" align="left">1.25 (1.21)</td>
</tr>
<tr>
<td valign="middle" align="center">Vigiaccess</td>
<td valign="middle" align="center">23047</td>
<td valign="middle" align="left">2.73 (2.69,2.77)</td>
<td valign="middle" align="left">2.37 (19955.6)</td>
<td valign="middle" align="left">2.37 (2.33)</td>
<td valign="middle" align="left">1.24 (1.22)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PRR, the proportional reporting ratio; ROR, the reporting odds ratio; IC, the information component; EBGM, the empirical Bayes geometric mean; CI, confidence interval; 95%CI, two-sided for ROR; <bold>&#x3c7;</bold><sup>2</sup>, chi-squared; IC025 and EBGM05 lower one-sided for IC, and EBGM.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Disproportionality analysis of cetuximab-associated skin adverse events in FAERS and VigiAccess.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Cetuximab</th>
<th valign="middle" align="left">The report number</th>
<th valign="middle" align="left">ROR (95%CI)</th>
<th valign="middle" align="left">PRR (&#x3c7;<sup>2</sup>)</th>
<th valign="middle" align="left">EBGM (EBGM05)</th>
<th valign="middle" align="left">IC (IC025)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="6" align="left">FAERS</th>
</tr>
<tr>
<td valign="middle" align="left">Rash</td>
<td valign="middle" align="center">1841</td>
<td valign="middle" align="left">4.68 (4.47,4.91)</td>
<td valign="middle" align="left">4.56 (5131.68)</td>
<td valign="middle" align="left">4.54 (4.34)</td>
<td valign="middle" align="left">2.18 (2.11)</td>
</tr>
<tr>
<td valign="middle" align="left">Dermatitis acneiform</td>
<td valign="middle" align="center">596</td>
<td valign="middle" align="left">125.64 (115.36,136.85)</td>
<td valign="middle" align="left">124.31 (65039.3)</td>
<td valign="middle" align="left">111.00 (101.91)</td>
<td valign="middle" align="left">6.79 (6.43)</td>
</tr>
<tr>
<td valign="middle" align="left">Erythema</td>
<td valign="middle" align="center">442</td>
<td valign="middle" align="left">2.34 (2.13,2.57)</td>
<td valign="middle" align="left">2.33 (336.20)</td>
<td valign="middle" align="left">2.33 (2.12)</td>
<td valign="middle" align="left">1.22 (1.08)</td>
</tr>
<tr>
<td valign="middle" align="left">Dry skin</td>
<td valign="middle" align="center">346</td>
<td valign="middle" align="left">3.02 (2.72,3.36)</td>
<td valign="middle" align="left">3.01 (463.26)</td>
<td valign="middle" align="left">3.00 (2.70)</td>
<td valign="middle" align="left">1.59 (1.42)</td>
</tr>
<tr>
<td valign="middle" align="left">Acne</td>
<td valign="middle" align="center">290</td>
<td valign="middle" align="left">4.16 (3.71,4.67)</td>
<td valign="middle" align="left">4.15 (690.51)</td>
<td valign="middle" align="left">4.13 (3.68)</td>
<td valign="middle" align="left">2.05 (1.86)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin reaction</td>
<td valign="middle" align="center">188</td>
<td valign="middle" align="left">15.36 (13.30,17.75)</td>
<td valign="middle" align="left">15.31 (2479.02)</td>
<td valign="middle" align="left">15.10 (13.08)</td>
<td valign="middle" align="left">3.92 (3.60)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin fissures</td>
<td valign="middle" align="center">169</td>
<td valign="middle" align="left">10.64 (9.14,12.38)</td>
<td valign="middle" align="left">10.61 (1456.01)</td>
<td valign="middle" align="left">10.51 (9.03)</td>
<td valign="middle" align="left">3.39 (3.09)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin disorder</td>
<td valign="middle" align="center">166</td>
<td valign="middle" align="left">5.64 (4.84,6.57)</td>
<td valign="middle" align="left">5.63 (628.76)</td>
<td valign="middle" align="left">5.60 (4.81)</td>
<td valign="middle" align="left">2.49 (2.22)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin toxicity</td>
<td valign="middle" align="center">151</td>
<td valign="middle" align="left">33.34 (28.35,39.22)</td>
<td valign="middle" align="left">33.26 (4576.43)</td>
<td valign="middle" align="left">32.24 (27.41)</td>
<td valign="middle" align="left">5.01 (4.50)</td>
</tr>
<tr>
<td valign="middle" align="left">Dermatitis</td>
<td valign="middle" align="center">142</td>
<td valign="middle" align="left">7.98 (6.76,9.41)</td>
<td valign="middle" align="left">7.96 (857.49)</td>
<td valign="middle" align="left">7.90 (6.70)</td>
<td valign="middle" align="left">2.98 (2.67)</td>
</tr>
<tr>
<td valign="middle" align="left">Nail disorder</td>
<td valign="middle" align="center">92</td>
<td valign="middle" align="left">12.81 (10.43,15.74)</td>
<td valign="middle" align="left">12.79 (988.14)</td>
<td valign="middle" align="left">12.65 (10.30)</td>
<td valign="middle" align="left">3.66 (3.19)</td>
</tr>
<tr>
<td valign="middle" align="left">Palmar-plantar erythrodysaesthesia syndrome</td>
<td valign="middle" align="center">70</td>
<td valign="middle" align="left">3.31 (2.62,4.19)</td>
<td valign="middle" align="left">3.31 (112.32)</td>
<td valign="middle" align="left">3.30 (2.61)</td>
<td valign="middle" align="left">1.72 (1.33)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin haemorrhage</td>
<td valign="middle" align="center">46</td>
<td valign="middle" align="left">3.74 (2.80,5.00)</td>
<td valign="middle" align="left">3.74 (91.95)</td>
<td valign="middle" align="left">3.73 (2.79)</td>
<td valign="middle" align="left">1.90 (1.40)</td>
</tr>
<tr>
<td valign="middle" align="left">Onychoclasis</td>
<td valign="middle" align="center">42</td>
<td valign="middle" align="left">6.86 (5.06,9.29)</td>
<td valign="middle" align="left">6.85 (208.54)</td>
<td valign="middle" align="left">6.81 (5.03)</td>
<td valign="middle" align="left">2.77 (2.14)</td>
</tr>
<tr>
<td valign="middle" align="left">Scab</td>
<td valign="middle" align="center">41</td>
<td valign="middle" align="left">4.06 (2.99,5.52)</td>
<td valign="middle" align="left">4.06 (94.21)</td>
<td valign="middle" align="left">4.05 (2.98)</td>
<td valign="middle" align="left">2.02 (1.47)</td>
</tr>
<tr>
<th valign="middle" colspan="6" align="left">Vigiaccess</th>
</tr>
<tr>
<td valign="middle" align="left">Rash</td>
<td valign="middle" align="center">6232</td>
<td valign="middle" align="left">3.38 (3.30,3.47)</td>
<td valign="middle" align="left">3.25 (9837.39)</td>
<td valign="middle" align="left">3.24 (3.16)</td>
<td valign="middle" align="left">1.70 (1.66)</td>
</tr>
<tr>
<td valign="middle" align="left">Acne</td>
<td valign="middle" align="center">1996</td>
<td valign="middle" align="left">20.59 (19.69,21.53)</td>
<td valign="middle" align="left">20.23 (35845.9)</td>
<td valign="middle" align="left">19.88 (19.01)</td>
<td valign="middle" align="left">4.31 (4.23)</td>
</tr>
<tr>
<td valign="middle" align="left">Dermatitis acneiform</td>
<td valign="middle" align="center">1442</td>
<td valign="middle" align="left">122.62 (116.08,129.52)</td>
<td valign="middle" align="left">121.03 (154199)</td>
<td valign="middle" align="left">108.81 (103.01)</td>
<td valign="middle" align="left">6.77 (6.58)</td>
</tr>
<tr>
<td valign="middle" align="left">Dry skin</td>
<td valign="middle" align="center">1262</td>
<td valign="middle" align="left">9.06 (8.57,9.58)</td>
<td valign="middle" align="left">8.97 (8872.33)</td>
<td valign="middle" align="left">8.90 (8.42)</td>
<td valign="middle" align="left">3.15 (3.06)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin fissures</td>
<td valign="middle" align="center">695</td>
<td valign="middle" align="left">38.35 (35.55,41.37)</td>
<td valign="middle" align="left">38.11 (24256.1)</td>
<td valign="middle" align="left">36.84 (34.14)</td>
<td valign="middle" align="left">5.20 (5.02)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin reaction</td>
<td valign="middle" align="center">546</td>
<td valign="middle" align="left">10.43 (9.59,11.35)</td>
<td valign="middle" align="left">10.39 (4589.13)</td>
<td valign="middle" align="left">10.30 (9.46)</td>
<td valign="middle" align="left">3.36 (3.22)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin exfoliation</td>
<td valign="middle" align="center">436</td>
<td valign="middle" align="left">4.29 (3.91,4.72)</td>
<td valign="middle" align="left">4.28 (1092.88)</td>
<td valign="middle" align="left">4.27 (3.88)</td>
<td valign="middle" align="left">2.09 (1.94)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin toxicity</td>
<td valign="middle" align="center">436</td>
<td valign="middle" align="left">68.27 (61.96,75.23)</td>
<td valign="middle" align="left">68.01 (27065.1)</td>
<td valign="middle" align="left">64.00 (58.08)</td>
<td valign="middle" align="left">6.00 (5.66)</td>
</tr>
<tr>
<td valign="middle" align="left">Dermatitis</td>
<td valign="middle" align="center">286</td>
<td valign="middle" align="left">4.81 (4.28,5.40)</td>
<td valign="middle" align="left">4.80 (856.24)</td>
<td valign="middle" align="left">4.78 (4.26)</td>
<td valign="middle" align="left">2.26 (2.07)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin disorder</td>
<td valign="middle" align="center">279</td>
<td valign="middle" align="left">5.35 (4.76,6.02)</td>
<td valign="middle" align="left">5.34 (980.66)</td>
<td valign="middle" align="left">5.32 (4.73)</td>
<td valign="middle" align="left">2.41 (2.22)</td>
</tr>
<tr>
<td valign="middle" align="left">Blister</td>
<td valign="middle" align="center">233</td>
<td valign="middle" align="left">2.55 (2.24,2.90)</td>
<td valign="middle" align="left">2.55 (218.38)</td>
<td valign="middle" align="left">2.54 (2.24)</td>
<td valign="middle" align="left">1.35 (1.15)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin burning sensation</td>
<td valign="middle" align="center">218</td>
<td valign="middle" align="left">2.59 (2.26,2.95)</td>
<td valign="middle" align="left">2.58 (211.02)</td>
<td valign="middle" align="left">2.58 (2.26)</td>
<td valign="middle" align="left">1.37 (1.16)</td>
</tr>
<tr>
<td valign="middle" align="left">Nail disorder</td>
<td valign="middle" align="center">209</td>
<td valign="middle" align="left">14.75 (12.86,16.91)</td>
<td valign="middle" align="left">14.72 (2637.20)</td>
<td valign="middle" align="left">14.54 (12.68)</td>
<td valign="middle" align="left">3.86 (3.57)</td>
</tr>
<tr>
<td valign="middle" align="left">Skin lesion</td>
<td valign="middle" align="center">197</td>
<td valign="middle" align="left">5.44 (4.73,6.26)</td>
<td valign="middle" align="left">5.43 (708.99)</td>
<td valign="middle" align="left">5.41 (4.70)</td>
<td valign="middle" align="left">2.44 (2.20)</td>
</tr>
<tr>
<td valign="middle" align="left">Palmar-plantar erythrodysaesthesia syndrome</td>
<td valign="middle" align="center">164</td>
<td valign="middle" align="left">4.48 (3.84,5.22)</td>
<td valign="middle" align="left">4.47 (440.61)</td>
<td valign="middle" align="left">4.46 (3.82)</td>
<td valign="middle" align="left">2.16 (1.90)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PRR, the proportional reporting ratio; ROR, the reporting odds ratio; IC, the information component; EBGM, the empirical Bayes geometric mean; CI, confidence interval; 95%CI, two-sided for ROR, <bold>&#x3c7;</bold><sup>2</sup>, chi-squared; IC025 and EBGM05 lower one-sided for IC, and EBGM.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Distribution of the top 15 cetuximab-associated skin-related PTs with positive signals ranked by reporting frequency in the FAERS and VigiAccess databases.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1768984-g003.tif">
<alt-text content-type="machine-generated">Bar and line chart compares annual case numbers reported to FAERS and Vigiaccess from 2003 to 2025. Vigiaccess cases show sharp increases after 2014, peaking above 5,000 cases in 2024, while FAERS remains relatively steady below 1,500 cases per year throughout the period. Both data series are distinguished by color and labeled in the accompanying legend.</alt-text>
</graphic></fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plot of RORs for cetuximab-associated skin adverse events in FAERS and VigiAccess.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1768984-g004.tif">
<alt-text content-type="machine-generated">Comparison forest plot showing ROR with ninety-five percent confidence intervals for dermatological adverse events from FAERS (top) and Vigiaccess (bottom), listing multiple conditions with corresponding values. Individual events are plotted as horizontal blue lines with red markers against the ROR axis on the right.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Subgroup analysis</title>
<p>To evaluate individual traits and potential risk factors linked to skin-related adverse reactions induced by cetuximab, subgroup analyses were performed according to age (see <xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>) and gender (refer to <xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>), utilizing all adverse events documented in the FAERS database. Among the various subgroups analyzed, rash emerged as the most commonly reported skin-related adverse event. The analysis stratified by age revealed that patients over 45 years old experienced skin-related adverse reactions more frequently. Moreover, the gender-based analysis indicated a greater reporting frequency among male patients. Overall, these results suggest that skin adverse events associated with cetuximab are reported more often in older individuals and in males.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Cetuximab-associated skin-related PTs ranked by the frequency of positive signals across different age groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1768984-g005.tif">
<alt-text content-type="machine-generated">Forest plot comparing cutaneous adverse events between female and male subgroups, listing event types, case counts, and ROR with confidence intervals; larger circles indicate higher event frequency and horizontal lines represent confidence intervals for each event.</alt-text>
</graphic></fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Cetuximab-associated skin-related PTs ranked by the frequency of positive signals across different gender groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1768984-g006.tif">
<alt-text content-type="machine-generated">Forest plot showing reporting odds ratios (ROR) with confidence intervals for dermatological adverse events categorized by event type, age subgroups (eighteen to forty-four, forty-five to sixty-four, and over sixty-five), and case report counts. Points represent ROR values and horizontal lines indicate confidence intervals.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>At present, there is a notable lack of research centered on pharmacovigilance regarding skin AEs related to cetuximab. This study is, to our knowledge, the first in-depth evaluation of skin toxicity linked to cetuximab in a real-world context, leveraging data sourced from the FAERS and VigiAccess databases. Through performing disproportionality analyses across two distinct international reporting systems, we identified strong and consistent safety signals for multiple skin-related PTs, including rash, nail fold inflammation, and acneiform dermatitis. Furthermore, our subgroup analysis indicated that these AEs primarily impact older adults (those over 45 years) and males, highlighting the importance of prompt clinical monitoring. These findings offer fresh insights into the specific skin safety profile of cetuximab and bear significant consequences for pharmacovigilance practices and strategies for managing clinical risks.</p>
<p>It has been noted that there is a positive correlation between the severity of rash and the effectiveness of its treatment (<xref ref-type="bibr" rid="B25">25</xref>). Regulatory authorities in North America and Europe have granted approval for cetuximab for the treatment of advanced CRC (<xref ref-type="bibr" rid="B12">12</xref>) and head and neck squamous cell carcinoma (<xref ref-type="bibr" rid="B26">26</xref>). Nevertheless, the prevalence of these dermatological effects has not been comprehensively assessed in post-marketing surveillance. This research seeks to fill this void by investigating the association between cetuximab and skin AEs through data obtained from two large pharmacovigilance databases. Our findings highlight the importance of establishing routine skin monitoring in the clinical management of patients receiving cetuximab.</p>
<p><xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref> illustrates that AEs from cetuximab were reported more frequently in male patients (59.13% in FAERS; 62.56% in VigiAccess) compared to female patients (27.18% in FAERS; 30.81% in VigiAccess). This disparity between sexes may be associated with the higher incidence and mortality rates observed in males diagnosed with CRC (<xref ref-type="bibr" rid="B27">27</xref>), leading to increased exposure to cetuximab within this demographic.</p>
<p>Our analysis of the FAERS and VigiAccess databases indicates a notable correlation between cetuximab and a range of inflammatory skin reactions, such as acneiform dermatitis, erythema, and dermatitis. In addition, we identified robust disproportionality signals for less frequently reported conditions like exfoliative dermatitis, seborrheic dermatitis, and allergic dermatitis. Moreover, both databases show that rashes are the most common issues impacting the skin and subcutaneous tissues. These research results align with those from a prior multicenter investigation into cetuximab&#x2019;s efficacy and toxicity for treating head and neck squamous cell carcinoma (HNSCC), which found that skin rash occurred as the most commonly reported adverse event linked to this therapy, with an incidence of 49% (<xref ref-type="bibr" rid="B28">28</xref>). Although skin and subcutaneous tissue disorders were the most commonly reported adverse effects, only a small fraction of patients needed adjustments to their dosages because of serious symptoms. Nevertheless, even mild to moderate skin issues can lead to ongoing itching, worsening of the skin, or a higher likelihood of infections, which can greatly affect the quality of life for patients (<xref ref-type="bibr" rid="B29">29</xref>). Expert recommendations suggest that diffuse rashes or worsened acneiform dermatitis might indicate significant mucocutaneous inflammatory reactions. This highlights the importance of careful monitoring for possible secondary infections or scarring. Patients should be encouraged to avoid scratching the affected regions, steer clear of irritating skincare products, and quickly communicate any new or deteriorating skin issues (<xref ref-type="bibr" rid="B30">30</xref>). These findings underscore the vital necessity of diligently observing the dermatological condition of patients, commencing early interventions, and delivering focused health education during the entire course of cetuximab treatment.</p>
<p>Skin and subcutaneous tissue disorders linked to cetuximab might occur due to the disturbance of signaling in the EGFR pathway. Such disturbances can lead to various effects, which manifest as the typical clinical symptoms of skin toxicity caused by EGFR inhibitors. The EGFR is essential for the proper differentiation and development of epidermal keratinocytes, as it aids in epidermal growth, hinders differentiation, offers protection from ultraviolet (UV) radiation damage, lessens inflammation, and&#xa0;supports wound healing (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). A study employing immunohistochemistry in the context of pharmacological inhibition of EGFR has demonstrated notable changes in&#xa0;the&#xa0;expression of crucial markers within the skin. The inhibition of EGFR resulted in the removal of cells that showed phosphorylated EGFR, along with diminished MAPK expression levels (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). This modification subsequently impacted the behavior of keratinocytes, affecting aspects such as proliferation, differentiation, migration, and adhesion. This led to a range of skin responses, including rash, erythema, and dryness. Up until now, the majority of investigations into the mechanisms that drive acneiform eruptions triggered by EGFR inhibitors have primarily focused on their influence on keratinocyte proliferation and differentiation, ultimately leading to secondary inflammation. Nevertheless, a recent study shows that therapies aimed at targeting EGFR may have a more immediate effect on the immune response by reducing the inhibition of skin chemokine production, thereby promoting the chemotaxis and infiltration of leukocytes into the skin. This indicates that the role of skin EGFR is associated with the inhibition of chemokine synthesis (<xref ref-type="bibr" rid="B35">35</xref>). In summary, these findings support a biologically plausible mechanism underlying the cutaneous adverse effects associated with cetuximab, driven by interference in EGFR pathway signaling.</p>
<p>Given the important function of EGFR signaling in the skin, the considerable physical and psychological distress that may occur could require modifications in the dosage of anticancer drugs or possibly their cessation. We suggest that active skin monitoring be included in the clinical protocols for patients receiving treatment with cetuximab. Specialists from Italy concur that a team-based management strategy can alleviate skin-related toxicities, lower the incidence of severe symptoms, boost patient compliance, avert changes in prescribed treatments (such as radiotherapy and/or EGFR inhibitors), and ultimately enhance overall results (<xref ref-type="bibr" rid="B36">36</xref>). A proactive and cooperative approach to preventing and managing skin toxicity can greatly decrease the occurrence of serious symptoms, improve patient comfort during treatments, enhance the overall quality of life, and&#xa0;optimize the therapeutic advantages of EGFR-targeted monoclonal antibodies by reducing the necessity&#xa0;for dosage adjustments or early termination of therapy. Additionally, specifically trained nursing personnel can proficiently handle minor skin reactions. As a result, in the consensus guidelines focused on managing skin toxicity due to radiation in head and neck cancer, the involvement of nurses is vital for situations identified as low-grade (<xref ref-type="bibr" rid="B37">37</xref>). Recent studies have highlighted the potential of topical vitamin K3 (menadione) in inhibiting EGFR phosphatase, thereby restoring disrupted EGFR-mediated signaling in the skin following systemic administration of the EGFR inhibitor cetuximab (<xref ref-type="bibr" rid="B38">38</xref>). Although additional rigorously designed prospective research is necessary to confirm best practices, instruments like this algorithm can assist healthcare providers and inform patients, thereby improving the efficacy of cetuximab treatment. With the growing application of these drugs in early-stage and adjuvant therapy contexts, developing evidence-backed methods to manage cutaneous toxicity will become ever more important.</p>
<p>Despite the strengths of this study, several limitations inherent to spontaneous reporting systems should be acknowledged. First, both FAERS and VigiAccess lack reliable denominator data, such as the total number of patients exposed to cetuximab, which precludes the estimation of true incidence rates or absolute risks. Second, underreporting and reporting bias are well-recognized issues in pharmacovigilance databases, particularly for mild or transient adverse events, which may lead to an underestimation of the overall burden or an overrepresentation of well-known or expected reactions. Third, although FAERS provides outcome-related information (e.g., hospitalization, life-threatening events, or death), neither FAERS nor VigiAccess systematically captures standardized clinical severity grading, such as Common Terminology Criteria for Adverse Events (CTCAE) grades. As a result, the severity spectrum of cetuximab-associated skin adverse events cannot be reliably assessed in the present analysis. In addition, important clinical details, including exact onset time, cumulative drug exposure, concomitant medications, and detailed dermatological assessments, are often incomplete or missing, limiting causal inference. Moreover, disproportionality analyses are designed for signal detection rather than causal confirmation and should therefore be interpreted as hypothesis-generating.</p>
<p>Nevertheless, the use of two independent and complementary pharmacovigilance databases strengthens the robustness of our findings and reduces potential source-specific bias. Although spontaneous reporting data cannot replace prospective clinical studies, our results provide valuable real-world evidence that skin and subcutaneous tissue disorders represent the most prominent adverse events associated with cetuximab. Future well-designed observational studies, prospective cohorts, or dermatology-specific registries incorporating standardized severity assessments are warranted to better define incidence rates, severity distribution, underlying mechanisms, and long-term clinical implications.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Analyses of pharmacovigilance utilizing the FAERS and VigiAccess databases have revealed consistent disproportionality signals regarding cutaneous adverse events linked to cetuximab. Skin toxicities, notably including rash, acneiform dermatitis, erythema, acne, and dermatitis, were reported more frequently among middle-aged and older patients, particularly in males. Additionally, several events that were less commonly documented in clinical trials, such as exfoliative dermatitis, seborrheic dermatitis, and allergic dermatitis, have surfaced as significant safety signals in real-world settings. Although spontaneous reporting systems have inherent limitations, these results underscore the necessity for heightened clinical awareness. More prospective and mechanistic investigations are needed to validate these associations and elucidate the underlying mechanisms behind cetuximab-induced cutaneous toxicity.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding authors.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>Ethical approval and informed consent were not deemed necessary for this study because the FAERS and VigiAccess database is publicly accessible, and all patient identity information remains strictly confidential.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>CL: Writing &#x2013; original draft, Formal Analysis, Methodology, Data curation, Investigation, Writing &#x2013; review &amp; editing. YG: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. MG: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. HW: Writing &#x2013; original draft, Writing&#xa0;&#x2013; review &amp; editing. YFL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YQL: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. YW: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. XL: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. LY: Writing&#xa0;&#x2013; review &amp; editing, Writing &#x2013; original draft.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not 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="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#xa0;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="s13" 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.2026.1768984/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2026.1768984/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.docx" id="SF1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/></sec>
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<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1401848">Yuyao Kuang</ext-link>, University of California, Irvine, United States</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3162739">Sai Zhao</ext-link>, Sinco Pharmachem (Shenzhen) Co., Ltd., China</p></fn>
</fn-group>
</back>
</article>