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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.2025.1511594</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Case Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Case Report: Proteomic analysis of cerebrospinal fluid in a retinoblastoma patient</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Galardi</surname>
<given-names>Angela</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Di Paolo</surname>
<given-names>Virginia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lavarello</surname>
<given-names>Chiara</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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<contrib contrib-type="author">
<name>
<surname>Russo</surname>
<given-names>Ida</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Romanzo</surname>
<given-names>Antonino</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Miele</surname>
<given-names>Evelina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/499323/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Vito</surname>
<given-names>Rita De</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Longo</surname>
<given-names>Daniela</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Petretto</surname>
<given-names>Andrea</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Locatelli</surname>
<given-names>Franco</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Di Giannatale</surname>
<given-names>Angela</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pediatric Hematology/Oncology and Cell and Gene Therapy, IRCCS, Ospedale Pediatrico Bambino Ges&#xf9;</institution>, <addr-line>Rome</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Core Facilities-Clinical Proteomics and Metabolomics, IRCCS, Istituto Giannina Gaslini</institution>, <addr-line>Genoa</addr-line>, <country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Ophthalmology Unit, IRCCS, Ospedale Pediatrico Bambino Ges&#xf9;</institution>, <addr-line>Rome</addr-line>, <country>Italy</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Laboratories, Pathology Unit, IRCCS, Ospedale Pediatrico Bambino Ges&#xf9;</institution>, <addr-line>Rome</addr-line>, <country>Italy</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Neuroradiology Unit, Imaging Department, Bambino Ges&#xf9; Children&#x2019;s Hospital, IRCCS</institution>, <addr-line>Rome</addr-line>, <country>Italy</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Catholic University of the Sacred Heart</institution>, <addr-line>Rome</addr-line>, <country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Andrea Di Cataldo, University of Catania, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Paula Schaiquevich, Garrahan Hospital, Argentina</p>
<p>Demirkan Gursel, Northwestern University, United States</p>
<p>Peiwei Chai, Shanghai Jiao Tong University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Angela Galardi, <email xlink:href="mailto:angela.galardi@istitutotumori.mi.it">angela.galardi@istitutotumori.mi.it</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>04</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1511594</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>01</day>
<month>04</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Galardi, Di Paolo, Lavarello, Russo, Romanzo, Miele, Vito, Longo, Petretto, Locatelli and Di Giannatale</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Galardi, Di Paolo, Lavarello, Russo, Romanzo, Miele, Vito, Longo, Petretto, Locatelli and Di Giannatale</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>This study focuses on the proteomic analysis of cerebrospinal fluid (CSF) in a patient with stage III retinoblastoma (RB) with the aim to identify molecular changes associated with central nervous system (CNS) relapse. The child received systemic chemotherapy and intrathecal topotecan as CNS prophylaxis, along with enucleation of the left eye. After two chemotherapy cycles, CNS relapse occurred, evidenced by positive CSF findings and magnetic resonance imaging (MRI) showing leptomeningeal involvement at the anterior skull base. The child&#x2019;s condition deteriorated, and two months later, he died due to progressive CNS disease. The aim of the study was to analyze serial CSF samples collected at different stages of treatment, as well as a control sample, to identify differences in CSF protein expression profiles during CNS RB relapse. Using mass spectrometry, a total of 1,029 proteins were identified across all CSF samples, samples were analyzed in duplicate ensuring technical replication. An unsupervised heatmap revealed 46 differentially expressed proteins. Over-regulated proteins in CSF-RB samples were primarily involved in inflammation, extracellular matrix remodeling, epithelial mesenchymal transition initiation, migration, invasion, and cellular metabolism (PON1, RNPEP, MCAM, NEGR1, NID1, SERPINA1, FAT2, RELN, NEGR1, and SEZ6). These processes are key drivers of cancer progression and metastasis. Proteomic analysis could be valuable in identifying proteins modulated in CSF during disease progression in RB patients, offering potential for new prognostic biomarkers.</p>
</abstract>
<kwd-group>
<kwd>cerebrospinal fluid (CSF)</kwd>
<kwd>retinoblastoma</kwd>
<kwd>proteomic analysis</kwd>
<kwd>liquid biopsy</kwd>
<kwd>case report</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="58"/>
<page-count count="8"/>
<word-count count="3038"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Pediatric Oncology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>Retinoblastoma (RB) represents the most common intraocular malignancy of infancy and childhood (<xref ref-type="bibr" rid="B1">1</xref>). Although the survival rates are over 95% for intraocular forms, in low-income countries the prognosis remains poor, ranging from 20% to 60% (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Among the dissemination routes, RB may spread to the central nervous system (CNS) through the optic nerve. This occurrence correlates with poor prognosis despite intensive multimodal treatment (<xref ref-type="bibr" rid="B4">4</xref>). In particular, in patients with advanced RB, CNS remains the predominant site of relapse. Thus, an early detection of CNS involvement is crucial to set up timely and tailored therapeutic approaches. The conventional diagnosis of CNS involvement relies on magnetic resonance imaging (MRI) and on the detection of tumor cells in CSF. Detection of biomarkers in the CSF could be useful in identifying patients at risk of developing CNS disease, even before the evidence of CNS involvement. In recent years, mass spectrometry has emerged as a sensitive tool in characterizing proteomic profiles of different biofluids, such as CSF, in neurological diseases and brain tumors (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B8">8</xref>). Importantly, the proteomic analysis of CSF may detect the presence of brain tumors before the onset of symptoms or imaging in animal models (<xref ref-type="bibr" rid="B9">9</xref>), reveling that CSF may be altered even at the earliest stages of malignancy. In this report, we perform a proteomic study of CSF in a patient affected by stage III (IRSS) RB in order to detect proteins changes occurring during CNS recurrence.</p>
</sec>
<sec id="s2">
<title>Case presentation</title>
<sec id="s2_1">
<title>Clinical data</title>
<p>An 8-month-old male child from Africa was admitted to the emergency department of the Bambino Ges&#xf9; Children Hospital. He had a 6-months history of strabismus of the left eye associated with leukocoria diagnosed as cataract in his country and treated with eye drops. Due to the onset of exophthalmos, the child underwent MRI, which led to the diagnosis of RB (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, a</bold>
</xref>), and received 2 cycles of chemotherapy with etoposide and carboplatin. After his arrival at our hospital, the diagnostic workup documented a sporadic unilateral extraocular RB of the left eye, stage IIIa for orbit invasion, without CNS and bone-marrow involvement (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1B, b</bold>
</xref>). The patient underwent left eye debulking surgery (macroscopically incomplete enucleation) and received 3 cycles according to ICE schedule associated with intrathecal Topotecan at 0.3 mg per cycle. After 2 ICE cycles, the MRI and bone scintigraphy showed no local or CNS disease recurrence (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1 C, c</bold>
</xref>). However, the cytologic evaluation of CSF, performed during the third intrathecal injection of Topotecan, resulted positive for neoplastic cells. A new MRI showed impregnation of the leptomeninges of the anterior cranial bases confirming a disease recurrence at the CNS level. In light of these findings, the child received chemotherapy with Etoposide and Carboplatin for 5 days, in combination with intrathecal topotecan and thiotepa. CSF evaluation after chemotherapy was still positive for neoplastic cells. Due to incoercible vomiting and generalized hypotonia, the child was admitted to the emergency department where a Computerized Tomography (CT) scan showed massive CNS disease progression. The patient progressively worsened with cardiorespiratory arrest occurring 9 days after admission.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>MRI of the patient throughout the entire treatment, along with the corresponding sample time points. <bold>(A&#x2013;C)</bold> axial DIXON T1 post-CM: the timeline of optic nerve involvement. <bold>(A)</bold> presence of pathological tissue localized in the left retro bulbar site. This tissue takes the contrast medium (MDC) which localizes in the left retro bulbar region, is characterized by irregular profiles and extends to partially involve the extrinsic muscles, making their distal portion difficult to identify. The retro bulbar segment of the optic nerve is also partially affected, showing pathological enhancement. Additionally, there is pathological enhancement of the periorbital soft tissues. <bold>(B)</bold> Extensive involvement of the left optic nerve is evident following enucleation <bold>(C)</bold> Further progression of optic nerve involvement is observed, with irregular profiles of optic nerve. <bold>(a&#x2013;c)</bold> axial T1w pst-CM: timeline of meningeal involvement. <bold>(a)</bold> no meningeal enhancement, <bold>(b)</bold> no meningeal enhancement, <bold>(c)</bold> intense meningeal enhancement.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1511594-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Proteomic analysis</title>
<p>CSF samples were collected at the Bambino Ges&#xf9; Children Hospital, Rome Italy. Parental informed consent was obtained for each patient. Three CSF samples were taken from a patient with RB (CSFRB) by lumbar puncture just before the injection of intrathecal Topotecan at the following time points: before starting chemotherapy (CSF-RB1), negative for neoplastic cells; after the 3th cycle of chemotherapy with Carboplatin, Etoposide, Ifosfamide (ICE), (CSF-RB2), positive for neoplastic cells; and just before starting chemotherapy with Etoposide and Carboplatin, 12 days after the previous sampling (CSF-RB3), still positive for neoplastic cells. We used one sample as normal control (CSFCTRL), collected from a 2-year-old boy with a history of post hemorrhagic tetra-ventricular hydrocephalus, during the peritoneal ventricular shunt procedure. All these samples were stored at &#x2212;80&#xb0;C until their use. For proteomic analysis, CSF was processed by in-StageTip (iST) method, samples were analyzed in duplicate ensuring technical replication (<xref ref-type="bibr" rid="B10">10</xref>). The tryp- column, thermostated at 55&#xb0;C. The peptides were separated with an organic solvent at a flow rate of 250 nL/min, using a non-linear gradient of 5&#x2013;45% solution B (80% CAN and 20% H2O, 0.1% FA) in 140 min, and analyzed using an Orbitrap Fusion Tribrid mass spectrometer (Thermo Scientific Instruments, Bremen, Germany). Orbitrap detection was used for both MS1 and MS2 measurements at re-solving powers of 120 K and 30 K (at m/z 200), respectively. Data dependent MS/MS analysis was performed in top speed mode with a 2 sec cycle-time, during which pre-cursors detected within the range of m/z 375&#x2212;1500 were selected for activation in or-der of charge state, using CHarge Ordered Parallel Ion aNalysis (CHOPIN) (<xref ref-type="bibr" rid="B11">11</xref>). MaxQuant software was used to process the raw data, setting a false discovery rate (FDR) of 0.01 for the identification of proteins, peptides and PSM (peptide-spectrum match), a minimum length of 6 amino acids for peptide identification was required. Andromeda engine, incorporated into MaxQuant software, was used to search MS/MS spectra against Uniprot human database. All bioinformatics analyses were done with the Perseus software of the MaxQuant computational platform (<xref ref-type="bibr" rid="B12">12</xref>). Protein groups were filtered to require 70% valid values in total. The label-free intensities were ex-pressed as base log2, and empty values were imputed with random numbers from a normal distribution for each column, to best simulate low abundance values close to noise level. The Venn diagram of identified proteins was calculated using an online tool (<xref ref-type="bibr" rid="B13">13</xref>). For each comparison, a B significance test (Benjamini&#x2013;Hochberg FDR &lt;0.05) was used (<xref ref-type="bibr" rid="B14">14</xref>). To visualize the profile of the experiment, a hierarchical clustering of resulting proteins was performed on log2 intensities after z-score normalization of the data for each sample, using Euclidean distances.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>A total of 1029 proteins were identified in all CSF samples, of these 500 proteins were in common in all samples (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The Heatmap, resulting from the comparisons among the samples, showed 46 differentially expressed proteins (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). In all 3 CSF-RB samples we identified seven downregulated and seventeen upregulated proteins compared with the CSF-CTRL (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>, <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). By gene enrichment analysis performed by FunRich software (<xref ref-type="bibr" rid="B15">15</xref>), the downregulated proteins were mainly involved in cell growth, metabolism and cell communication, whereas the upregulated ones in cell growth, signal transduction and metabolism (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>). Four proteins were commonly and differentially expressed in CSF-RB2 and CSF-RB3 samples (positive for neoplastic cells). Specifically, 3 proteins were up-regulated [Creatine kinase B-type (CKB), Retinolbinding protein 3 (RBP3), Nucleoside diphosphate kinase A (NME1)] and one down-regulated [RNAbinding protein 44 (RBM44)]. Four proteins were down-regulated in CSF-RB1: Tubulin beta proteins (TUBB4B, TUBB2B, TUBA1B) and Cathepsin B (CTSB). Interestingly, FSTL5 was upregulated only in CSF-RB3, whereas 2 proteins (DOCK10 and ENDOD1) were down regulated in the same sample.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> Venn diagram showing a total of 1029 proteins detected in all CSF samples (CSF-CTRL, CSF-RB1, CSF-RB2, CSf-RB3), 500 proteins were in common in all samples. 733, 713, 809 and 789 proteins were found in CSF-CTRL, CSF-RB1, CSF-RB2 and CSF-RB3 respectively; 131, 18, 27 and 31 were exclusively present in CSF-CTRL, CSF-RB1, CSF-RB2 and CSF-RB3 respectively <bold>(B)</bold> Unsupervised hierarchical-clustered heatmap of proteins identified by significance B test. Heatmap showing the distinctive proteomic signature of the CSF-CTRL vs CSF-RB1, CSF-RB2, CSF-RB3. A red-blue scale corresponds to high and low protein amount, respectively. C-D) Graphical representation of biological processes gene enrichment obtained by FunRich software for low expressed <bold>(C)</bold> and high expressed <bold>(D)</bold> protein in CSF-RB (CSF-RB1; CSF-RB2; CSF- RB3) vs CSF-CTRL.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1511594-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Name of the protein in different samples.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">Protein iD:</th>
<th valign="middle" align="center">Gene names</th>
<th valign="middle" align="center">Protein name:</th>
<th valign="middle" align="center">Log<sub>2</sub> LFQ intensity CSF-CTRL</th>
<th valign="middle" align="center">Log<sub>2</sub> LFQ intensity CSF-RB1</th>
<th valign="middle" align="center">Log<sub>2</sub> LFQ intensity CSF-RB2</th>
<th valign="middle" align="center">Log<sub>2</sub> LFQ intensity CSF-RB3</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">Q96BY6</td>
<td valign="middle" align="center">DOCK10</td>
<td valign="middle" align="center">Dedicator of cytokinesis protein 10</td>
<td valign="middle" align="center">29,045</td>
<td valign="middle" align="center">29,534</td>
<td valign="middle" align="center">30,183</td>
<td valign="middle" align="center">23,928</td>
</tr>
<tr>
<td valign="middle" align="center">O94919</td>
<td valign="middle" align="center">ENDOD1</td>
<td valign="middle" align="center">Endonuclease domain-containing 1 protein</td>
<td valign="middle" align="center">29,003</td>
<td valign="middle" align="center">28,010</td>
<td valign="middle" align="center">28,463</td>
<td valign="middle" align="center">21,432</td>
</tr>
<tr>
<td valign="middle" align="center">P07858</td>
<td valign="middle" align="center">CTSB</td>
<td valign="middle" align="center">Cathepsin B</td>
<td valign="middle" align="center">28,176</td>
<td valign="middle" align="center">24,084</td>
<td valign="middle" align="center">26,330</td>
<td valign="middle" align="center">25,965</td>
</tr>
<tr>
<td valign="middle" align="center">Q9BVA1</td>
<td valign="middle" align="center">TUBB2B</td>
<td valign="middle" align="center">Tubulin beta-2B chain</td>
<td valign="middle" align="center">29,654</td>
<td valign="middle" align="center">19,240</td>
<td valign="middle" align="center">26,846</td>
<td valign="middle" align="center">26,271</td>
</tr>
<tr>
<td valign="middle" align="center">P68371</td>
<td valign="middle" align="center">TUBB42</td>
<td valign="middle" align="center">Tubulin beta-4B chain</td>
<td valign="middle" align="center">30,699</td>
<td valign="middle" align="center">20,371</td>
<td valign="middle" align="center">28,538</td>
<td valign="middle" align="center">28,182</td>
</tr>
<tr>
<td valign="middle" align="center">P68363</td>
<td valign="middle" align="center">TUBA1B</td>
<td valign="middle" align="center">Tubulin alpha-1B chain</td>
<td valign="middle" align="center">32,414</td>
<td valign="middle" align="center">25,396</td>
<td valign="middle" align="center">29,989</td>
<td valign="middle" align="center">29,694</td>
</tr>
<tr>
<td valign="middle" align="center">P68871</td>
<td valign="middle" align="center">HBB</td>
<td valign="middle" align="center">Hemoglobin subunit beta</td>
<td valign="middle" align="center">36,599</td>
<td valign="middle" align="center">25,633</td>
<td valign="middle" align="center">28,639</td>
<td valign="middle" align="center">33,836</td>
</tr>
<tr>
<td valign="middle" align="center">P04406-2</td>
<td valign="middle" align="center">GAPDH</td>
<td valign="middle" align="center">Glyceraldehyde-3-phosphate dehydrogenase</td>
<td valign="middle" align="center">29,371</td>
<td valign="middle" align="center">25,263</td>
<td valign="middle" align="center">26,734</td>
<td valign="middle" align="center">28,776</td>
</tr>
<tr>
<td valign="middle" align="center">P06702</td>
<td valign="middle" align="center">S100A9</td>
<td valign="middle" align="center">Protein S100-A9</td>
<td valign="middle" align="center">31,083</td>
<td valign="middle" align="center">22,424</td>
<td valign="middle" align="center">28,698</td>
<td valign="middle" align="center">24,340</td>
</tr>
<tr>
<td valign="middle" align="center">P47929</td>
<td valign="middle" align="center">LGALS7</td>
<td valign="middle" align="center">Galectin-7</td>
<td valign="middle" align="center">29,505</td>
<td valign="middle" align="center">21,580</td>
<td valign="middle" align="center">26,298</td>
<td valign="middle" align="center">21,876</td>
</tr>
<tr>
<td valign="middle" align="center">P05109</td>
<td valign="middle" align="center">S100AB</td>
<td valign="middle" align="center">Protein S100-A8</td>
<td valign="middle" align="center">31,113</td>
<td valign="middle" align="center">21,533</td>
<td valign="middle" align="center">26,365</td>
<td valign="middle" align="center">22,277</td>
</tr>
<tr>
<td valign="middle" align="center">Q9NZT1</td>
<td valign="middle" align="center">CALML5</td>
<td valign="middle" align="center">Calmodulin-like protein 5</td>
<td valign="middle" align="center">28,726</td>
<td valign="middle" align="center">21,486</td>
<td valign="middle" align="center">27,294</td>
<td valign="middle" align="center">21,293</td>
</tr>
<tr>
<td valign="middle" align="center">P31151</td>
<td valign="middle" align="center">S100A7</td>
<td valign="middle" align="center">Protein S100-A7</td>
<td valign="middle" align="center">29,831</td>
<td valign="middle" align="center">21,444</td>
<td valign="middle" align="center">27,569</td>
<td valign="middle" align="center">21,486</td>
</tr>
<tr>
<td valign="middle" align="center">P02042</td>
<td valign="middle" align="center">HDB</td>
<td valign="middle" align="center">Hemoglobin subunit delta</td>
<td valign="middle" align="center">31,026</td>
<td valign="middle" align="center">21,112</td>
<td valign="middle" align="center">23,235</td>
<td valign="middle" align="center">24,893</td>
</tr>
<tr>
<td valign="middle" align="center">O00560-3</td>
<td valign="middle" align="center">SDCBP</td>
<td valign="middle" align="center">Syntenin-1</td>
<td valign="middle" align="center">29,119</td>
<td valign="middle" align="center">21,987</td>
<td valign="middle" align="center">20,182</td>
<td valign="middle" align="center">21,192</td>
</tr>
<tr>
<td valign="middle" align="center">Q92911</td>
<td valign="middle" align="center">SLC5A</td>
<td valign="middle" align="center">Sodium/iodide cotransporter</td>
<td valign="middle" align="center">30,229</td>
<td valign="middle" align="center">25,120</td>
<td valign="middle" align="center">25,111</td>
<td valign="middle" align="center">25,955</td>
</tr>
<tr>
<td valign="middle" align="center">E5RH81</td>
<td valign="middle" align="center">CA1</td>
<td valign="middle" align="center">Carbonic anhydrase 1</td>
<td valign="middle" align="center">29,208</td>
<td valign="middle" align="center">22,961</td>
<td valign="middle" align="center">22,868</td>
<td valign="middle" align="center">24,237</td>
</tr>
<tr>
<td valign="middle" align="center">H0Y5H9</td>
<td valign="middle" align="center">SERPINB4</td>
<td valign="middle" align="center">Serpin B4</td>
<td valign="middle" align="center">30,125</td>
<td valign="middle" align="center">22,904</td>
<td valign="middle" align="center">25,165</td>
<td valign="middle" align="center">23,021</td>
</tr>
<tr>
<td valign="middle" align="center">Q92752</td>
<td valign="middle" align="center">TNR</td>
<td valign="middle" align="center">Tenascin-R</td>
<td valign="middle" align="center">28,814</td>
<td valign="middle" align="center">23,889</td>
<td valign="middle" align="center">25,439</td>
<td valign="middle" align="center">24,507</td>
</tr>
<tr>
<td valign="middle" align="center">P02533</td>
<td valign="middle" align="center">KRT14</td>
<td valign="middle" align="center">Keratin, type I cytoskeletal 14</td>
<td valign="middle" align="center">28,630</td>
<td valign="middle" align="center">23,949</td>
<td valign="middle" align="center">24,956</td>
<td valign="middle" align="center">24,252</td>
</tr>
<tr>
<td valign="middle" align="center">Q99969</td>
<td valign="middle" align="center">RARRES2</td>
<td valign="middle" align="center">Retinoic acid receptor responder protein 2</td>
<td valign="middle" align="center">28,268</td>
<td valign="middle" align="center">25,756</td>
<td valign="middle" align="center">19,299</td>
<td valign="middle" align="center">25,576</td>
</tr>
<tr>
<td valign="middle" align="center">H0Y8A0</td>
<td valign="middle" align="center">MOG</td>
<td valign="middle" align="center">Myelin-oligodendrocyte glycoprotein</td>
<td valign="middle" align="center">28,955</td>
<td valign="middle" align="center">26,302</td>
<td valign="middle" align="center">20,425</td>
<td valign="middle" align="center">26,374</td>
</tr>
<tr>
<td valign="middle" align="center">Q6ZP01</td>
<td valign="middle" align="center">RBM44</td>
<td valign="middle" align="center">RNA-binding protein 44</td>
<td valign="middle" align="center">33,283</td>
<td valign="middle" align="center">33,889</td>
<td valign="middle" align="center">27,367</td>
<td valign="middle" align="center">27,408</td>
</tr>
<tr>
<td valign="middle" align="center">P12277</td>
<td valign="middle" align="center">CKB</td>
<td valign="middle" align="center">Creatine kinase B-type</td>
<td valign="middle" align="center">28,525</td>
<td valign="middle" align="center">24,151</td>
<td valign="middle" align="center">30,562</td>
<td valign="middle" align="center">30,054</td>
</tr>
<tr>
<td valign="middle" align="center">P10745</td>
<td valign="middle" align="center">RBP3</td>
<td valign="middle" align="center">Retinol-binding protein 3</td>
<td valign="middle" align="center">23,091</td>
<td valign="middle" align="center">20,279</td>
<td valign="middle" align="center">31,394</td>
<td valign="middle" align="center">33,047</td>
</tr>
<tr>
<td valign="middle" align="center">P15531</td>
<td valign="middle" align="center">NME1</td>
<td valign="middle" align="center">Nucleoside diphosphate kinase A</td>
<td valign="middle" align="center">24,967</td>
<td valign="middle" align="center">24,967</td>
<td valign="middle" align="center">29,114</td>
<td valign="middle" align="center">28,742</td>
</tr>
<tr>
<td valign="middle" align="center">Q8N475-2</td>
<td valign="middle" align="center">FSTL5</td>
<td valign="middle" align="center">Follistatin-related protein 5</td>
<td valign="middle" align="center">24,168</td>
<td valign="middle" align="center">23,949</td>
<td valign="middle" align="center">24,179</td>
<td valign="middle" align="center">28,581</td>
</tr>
<tr>
<td valign="middle" align="center">P07451</td>
<td valign="middle" align="center">CA3</td>
<td valign="middle" align="center">Carbonic anhydrase 3</td>
<td valign="middle" align="center">22,4192</td>
<td valign="middle" align="center">24,417</td>
<td valign="middle" align="center">30,802</td>
<td valign="middle" align="center">26,262</td>
</tr>
<tr>
<td valign="middle" align="center">P02144</td>
<td valign="middle" align="center">MB</td>
<td valign="middle" align="center">Myoglobin</td>
<td valign="middle" align="center">22,280</td>
<td valign="middle" align="center">27,401</td>
<td valign="middle" align="center">31,331</td>
<td valign="middle" align="center">28,714</td>
</tr>
<tr>
<td valign="middle" align="center">P27169</td>
<td valign="middle" align="center">PON1</td>
<td valign="middle" align="center">Serum paraoxonase/arylesterase 1</td>
<td valign="middle" align="center">26,037</td>
<td valign="middle" align="center">28,935</td>
<td valign="middle" align="center">28,998</td>
<td valign="middle" align="center">30,206</td>
</tr>
<tr>
<td valign="middle" align="center">A6NKB8</td>
<td valign="middle" align="center">RNPEP</td>
<td valign="middle" align="center">Aminopeptidase B</td>
<td valign="middle" align="center">22,914</td>
<td valign="middle" align="center">28,928</td>
<td valign="middle" align="center">27,777</td>
<td valign="middle" align="center">31,038</td>
</tr>
<tr>
<td valign="middle" align="center">P62328</td>
<td valign="middle" align="center">TMSB4X</td>
<td valign="middle" align="center">Thymosin beta-4</td>
<td valign="middle" align="center">25,470</td>
<td valign="middle" align="center">28,952</td>
<td valign="middle" align="center">30,031</td>
<td valign="middle" align="center">29,653</td>
</tr>
<tr>
<td valign="middle" align="center">P02461</td>
<td valign="middle" align="center">COL3A1</td>
<td valign="middle" align="center">Collagen alpha-1(III) chain</td>
<td valign="middle" align="center">22,575</td>
<td valign="middle" align="center">28,949</td>
<td valign="middle" align="center">30,662</td>
<td valign="middle" align="center">29,837</td>
</tr>
<tr>
<td valign="middle" align="center">P02452</td>
<td valign="middle" align="center">COL1A1</td>
<td valign="middle" align="center">Collagen alpha-1(I) chain</td>
<td valign="middle" align="center">26,150</td>
<td valign="middle" align="center">30,203</td>
<td valign="middle" align="center">31,641</td>
<td valign="middle" align="center">30,864</td>
</tr>
<tr>
<td valign="middle" align="center">P43121</td>
<td valign="middle" align="center">MCAM</td>
<td valign="middle" align="center">Cell surface glycoprotein MUC18</td>
<td valign="middle" align="center">24,568</td>
<td valign="middle" align="center">29,143</td>
<td valign="middle" align="center">29,379</td>
<td valign="middle" align="center">28,550</td>
</tr>
<tr>
<td valign="middle" align="center">Q9NYQ8</td>
<td valign="middle" align="center">FAT2</td>
<td valign="middle" align="center">Protocadherin Fat 2</td>
<td valign="middle" align="center">23,183</td>
<td valign="middle" align="center">29,258</td>
<td valign="middle" align="center">28,755</td>
<td valign="middle" align="center">28,853</td>
</tr>
<tr>
<td valign="middle" align="center">Q5HYK7-3</td>
<td valign="middle" align="center">SH3D19</td>
<td valign="middle" align="center">SH3 domain-containing protein 19</td>
<td valign="middle" align="center">22,353</td>
<td valign="middle" align="center">30,779</td>
<td valign="middle" align="center">30,029</td>
<td valign="middle" align="center">30,001</td>
</tr>
<tr>
<td valign="middle" align="center">J3KQ66</td>
<td valign="middle" align="center">RELN</td>
<td valign="middle" align="center">Reelin</td>
<td valign="middle" align="center">22,124</td>
<td valign="middle" align="center">30,314</td>
<td valign="middle" align="center">30,189</td>
<td valign="middle" align="center">29,742</td>
</tr>
<tr>
<td valign="middle" align="center">P01602</td>
<td valign="middle" align="center">IGKV-1-5</td>
<td valign="middle" align="center">Ig kappa chain V-I region HK102</td>
<td valign="middle" align="center">22,456</td>
<td valign="middle" align="center">29,532</td>
<td valign="middle" align="center">28,789</td>
<td valign="middle" align="center">29,271</td>
</tr>
<tr>
<td valign="middle" align="center">P01871</td>
<td valign="middle" align="center">IGHM</td>
<td valign="middle" align="center">Ig mu chain C region</td>
<td valign="middle" align="center">22,844</td>
<td valign="middle" align="center">32,240</td>
<td valign="middle" align="center">31,153</td>
<td valign="middle" align="center">32,170</td>
</tr>
<tr>
<td valign="middle" align="center">P14543</td>
<td valign="middle" align="center">NID1</td>
<td valign="middle" align="center">Nidogen-1</td>
<td valign="middle" align="center">19,987</td>
<td valign="middle" align="center">29,630</td>
<td valign="middle" align="center">29,485</td>
<td valign="middle" align="center">30,676</td>
</tr>
<tr>
<td valign="middle" align="center">Q7Z3B1</td>
<td valign="middle" align="center">NEGR1</td>
<td valign="middle" align="center">Neuronal growth regulator 1</td>
<td valign="middle" align="center">23,487</td>
<td valign="middle" align="center">28,656</td>
<td valign="middle" align="center">29,035</td>
<td valign="middle" align="center">29,255</td>
</tr>
<tr>
<td valign="middle" align="center">H0YF95</td>
<td valign="middle" align="center">SEZ6</td>
<td valign="middle" align="center">Seizure protein 6 homolog</td>
<td valign="middle" align="center">24,099</td>
<td valign="middle" align="center">28,292</td>
<td valign="middle" align="center">28,668</td>
<td valign="middle" align="center">29,003</td>
</tr>
<tr>
<td valign="middle" align="center">P35749-4</td>
<td valign="middle" align="center">MYH11</td>
<td valign="middle" align="center">Myosin-11</td>
<td valign="middle" align="center">22,953</td>
<td valign="middle" align="center">30,134</td>
<td valign="middle" align="center">30,640</td>
<td valign="middle" align="center">30,278</td>
</tr>
<tr>
<td valign="middle" align="center">A0A024R6I7</td>
<td valign="middle" align="center">SERPINA1</td>
<td valign="middle" align="center">SERPINA1</td>
<td valign="middle" align="center">22,094</td>
<td valign="middle" align="center">32,263</td>
<td valign="middle" align="center">32,558</td>
<td valign="middle" align="center">32,264</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Although RB primarily affects the eyes, advanced disease mostly associated with delayed diagnosis, can lead to CNS involvement, including the brain and CSF, associated with extremely poor prognosis. Therefore, early detection of CNS involvement is crucial for allowing early therapeutic intervention. In RB, different biofluids, such as plasma, aqueous humor or CSF have been studied to detect tumor related biomarkers as prognostic predictors of disease evolution or treatment response (<xref ref-type="bibr" rid="B16">16</xref>). CSF samples from patients with non-metastatic RB and high-risk pathologic features showed that, among four cases with CSF relapse, two patients had GD2 synthase positivity in CSF as marker of minimal dissemination disease (MD) (<xref ref-type="bibr" rid="B17">17</xref>). In view of these findings, Laurent et&#xa0;al. suggested early and intensified intrathecal treatment for children with MD in CSF in order to improve the outcomes of these patients. Dimaras et&#xa0;al. also demonstrated that MD could be detected in patients with metastatic RB by using RB1 mutational analysis in CSF (<xref ref-type="bibr" rid="B18">18</xref>). Proteomic analysis involves the comprehensive study of proteins present in a biological sample. Since CSF is considered a primary route for metastatic dissemination (<xref ref-type="bibr" rid="B19">19</xref>), its proteomic analysis has been useful in improving the understanding of CNS tumors (<xref ref-type="bibr" rid="B20">20</xref>). Furthermore, proteins that are overexpressed in the CSF may serve as targets for developing new tailored treatment. For the afore mentioned reasons in this study, we have performed a proteomic evaluation of serial CSF samples in a patient affected by stage III RB with the aim to identify molecular changes occurring during treatment and CNS relapse. The differential analysis revealed a specific proteomics signature in CSF-RB samples. Among the upregulated proteins in CSF-RB, several have structural and physiological functions in the eye (COL1A1, COL3A1, TMSB4X, NID1) (<xref ref-type="bibr" rid="B21">21</xref>). NID1 has been described to promote tumor cell migration, invasion, epithelial-to-mesenchymal transition (EMT) and chemo-resistance in different tumors (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>) similarly to MCAM (<xref ref-type="bibr" rid="B25">25</xref>). Other upregulated proteins are involved in neuronal/retinal development and cell migration (Fat2, RELN, NEGR1, SEZ6) (<xref ref-type="bibr" rid="B26">26</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). RELN is an extracellular matrix protein expressed during normal retinogenesis and seems to play an important role in regulating stem cell trafficking in neuronal and non-neuronal tissues (<xref ref-type="bibr" rid="B30">30</xref>). SEZ6 has been found be elevated in the CSF from patients with multiple sclerosis and inflammatory conditions (<xref ref-type="bibr" rid="B31">31</xref>), furthermore, has been shown to promote metastatic spread by affecting cellular adhesion, cytoskeletal and extracellular matrix remodeling and inducing EMT in cancer cells (<xref ref-type="bibr" rid="B32">32</xref>). Of note, RNPEP and PON1 progressively increased during treatment. RNPEP is a secreted enzyme belonging to M1 metallopeptidase family (<xref ref-type="bibr" rid="B33">33</xref>) and its circulating mRNA levels have been demonstrated to be an independent prognostic factor in different tumors (<xref ref-type="bibr" rid="B34">34</xref>). PON1 is an enzyme associated with high-density lipoprotein (HDL) and plays a role in detoxification processes (<xref ref-type="bibr" rid="B35">35</xref>); this protein has potential implications in ocular disorders associated with oxidative stress and inflammation (<xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>). Similarly, SERPINA1, is an acute inflammatory protein involved in corneal defense and neuroinflammation (<xref ref-type="bibr" rid="B39">39</xref>). Among the down-regulated proteins in CSF-RB, we identified proteins involved in glucose transport (SLC5A) (<xref ref-type="bibr" rid="B40">40</xref>), synthesis of glycogen and lipids (CA1) (<xref ref-type="bibr" rid="B41">41</xref>), and exosomes biogenesis (SDCBP) (<xref ref-type="bibr" rid="B42">42</xref>); those proteins have been described to contribute to aggressive behavior of tumor via metabolic reprogramming and cell signaling. Other downregulated proteins were: protease inhibitor (SERPINB4), which may regulate the immune response against tumor cells (<xref ref-type="bibr" rid="B43">43</xref>), protein involved in brain development and synaptic plasticity (TNR) (<xref ref-type="bibr" rid="B44">44</xref>) and keratin (KRT14), which provides structural support and integrity to epithelial cells and is abnormal expressed in several tumors (<xref ref-type="bibr" rid="B45">45</xref>). The CSF samples that were positive for neoplastic cells, CSF-RB2 and -RB3, presented two commonly upregulated proteins involved in visual pathways: RBP3, which is involved in retinol transport (<xref ref-type="bibr" rid="B46">46</xref>), and CK-B, an enzyme that provides energy to photoreceptors for the visual cycle particularly expressed in retinal diseases (<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>). Another protein, NME1, is involved in oxidative stress response (<xref ref-type="bibr" rid="B49">49</xref>) and its increased expression correlates with tumor aggressiveness in specific cancer types (melanoma, liver and breast) (<xref ref-type="bibr" rid="B50">50</xref>). CSF-RB3 showed two down-regulated proteins (DOCK10 and ENDOD1) and the upregulation of FSTL5. FSTL5 is a secretory glycoprotein expressed in restricted areas of CNS and few studies indicate its role on neo-plastic transformation and metastasis development (<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>). DOCK 10 is also expressed in the brain and seems to have a role in neuroinflammation and cancer development by regulating cell adhesion and migration (<xref ref-type="bibr" rid="B53">53</xref>). ENDOD1 is a member of nucleases, which participate in DNA repair with abnormal expression in different tumors (<xref ref-type="bibr" rid="B54">54</xref>). Lastly, in the CSF-RB1 sample, which was negative for neoplastic cells, we found down-regulated three tubulin beta proteins (TUBB4B, TUBB2B, TUBA1B). Tubulins are microtubules subunits involved in cell shape maintenance (<xref ref-type="bibr" rid="B55">55</xref>). In particular, TUBB4B expression is correlated whit EMT initiation and affection of cell polarity (<xref ref-type="bibr" rid="B56">56</xref>) and TUBB2B is involved in visual development and function (<xref ref-type="bibr" rid="B57">57</xref>); mutations of TUBB4B and TUBB2B have been linked to several ocular disorders (<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>).</p>
</sec>
<sec id="s5" sec-type="conclusion">
<title>Conclusion</title>
<p>Overall, the proteomic analysis of CSF showed in our patient deregulation of proteins mainly involved in inflammation, extracellular matrix remodeling, EMT initiation, migration, invasion and cell metabolism. The CSF samples positive for neoplastic cells revealed proteins with a prominent role in visual pathways, including transport of retinol, photoreceptor&#x2019;s function and oxidative stress response. The timepoint negative for tumor infiltration revealed several TUBB proteins that are related with cellular shape maintenance, cell polarity and EMT initiation. These results demonstrate how proteomic analysis of CSF can help to improve our understanding in RB. Further studies including large cohorts of patients with RB should be conducted to identify new prognostic biomarkers and potential therapeutic targets in this tumor.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <uri xlink:href="http://www.proteomexchange.org/">http://www.proteomexchange.org/</uri>, PXD056783.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The study was conducted to the guidelines of the Declaration of Helsinki and approved by the Ethics committee of Ospedale Pediatrico Bambino Ges&#xf9; IRCCS (protocol code 1189_OPBG_2016; date of approval: 12/08/2016. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin. Written informed consent was obtained from the individual(s), and minor(s)&#x2019; legal guardian/next of kin, for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>AG: Conceptualization, Data curation, Formal Analysis, Investigation, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. VD: Data curation, Investigation, Resources, Writing &#x2013; review &amp; editing. CL: Conceptualization, Data curation, Formal Analysis, Methodology, Writing &#x2013; review &amp; editing. IR: Investigation, Resources, Writing &#x2013; review &amp; editing. AR: Investigation, Resources, Writing &#x2013; review &amp; editing. EM: Visualization, Writing &#x2013; review &amp; editing. RD: Investigation, Resources, Writing &#x2013; review &amp; editing. DL: Data curation, Investigation, Writing &#x2013; review &amp; editing. AP: Conceptualization, Data curation, Formal Analysis, Supervision, Writing &#x2013; review &amp; editing. FL: Supervision, Writing &#x2013; review &amp; editing. AD: Conceptualization, Data curation, Funding acquisition, Project administration, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Italian Ministry of Health with Current Research funds.</p>
</sec>
<sec id="s10" 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="s11" 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>
</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 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>
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