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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.2024.1382394</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The landscape of cancer-associated transcript fusions in adult brain tumors: a longitudinal assessment in 140 patients with cerebral gliomas and brain metastases</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Metellus</surname>
<given-names>Philippe</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Camilla</surname>
<given-names>Clara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bialecki</surname>
<given-names>Emilie</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Beaufils</surname>
<given-names>Nathalie</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vellutini</surname>
<given-names>Christine</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pellegrino</surname>
<given-names>Eric</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tomasini</surname>
<given-names>Pascale</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ahluwalia</surname>
<given-names>Manmeet S.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/266137"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mansouri</surname>
<given-names>Alireza</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/859849"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nanni</surname>
<given-names>Isabelle</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ouafik</surname>
<given-names>L&#x2019;Houcine</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1421597"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Aix Marseille Univ, Centre national de Recherche Scientifique (CNRS), INP, Inst Neurophysiopathol</institution>, <addr-line>Marseille</addr-line>, <country>France</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Ramsay Sant&#xe9;, H&#xf4;pital Priv&#xe9; Clairval, D&#xe9;partement de Neurochirurgie</institution>, <addr-line>Marseille</addr-line>, <country>France</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Aix Marseille Univ, APHM, CHU Timone, Service d&#x2019;OncoBiologie</institution>, <addr-line>Marseille</addr-line>, <country>France</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Aix Marseille Univ, APHM, Oncologie multidisciplinaire et innovations th&#xe9;rapeutiques</institution>, <addr-line>Marseille</addr-line>, <country>France</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Aix-Marseille Univ, Centre national de Recherche Scientifique (CNRS), Inserm, CRCM</institution>, <addr-line>Marseille</addr-line>, <country>France</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Miami Cancer Institute, Baptist Health South Florida</institution>, <addr-line>Miami, FL</addr-line>, <country>United States</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Herbert Wertheim College of Medicine, Florida International University</institution>, <addr-line>Miami, FL</addr-line>, <country>United States</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Neurosurgery, Penn State Cancer Institute</institution>, <addr-line>Hershey, PA</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Gennaro Daniele, Agostino Gemelli University Polyclinic (IRCCS), Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Vadim Kumeiko, Far Eastern Federal University, Russia</p>
<p>Quintino Giorgio D&#x2019;Alessandris, Fondazione Policlinico Universitario &#x201c;A. Gemelli&#x201d; IRCCS, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Philippe Metellus, <email xlink:href="mailto:philippe.metellus@ramsaysante.fr">philippe.metellus@ramsaysante.fr</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>07</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1382394</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>06</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Metellus, Camilla, Bialecki, Beaufils, Vellutini, Pellegrino, Tomasini, Ahluwalia, Mansouri, Nanni and Ouafik</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Metellus, Camilla, Bialecki, Beaufils, Vellutini, Pellegrino, Tomasini, Ahluwalia, Mansouri, Nanni and Ouafik</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>
<sec>
<title>Background</title>
<p>Oncogenic fusions of neurotrophic receptor tyrosine kinase <italic>NTRK1</italic>, <italic>NTRK2</italic>, or <italic>NTRK3</italic> genes have been found in different types of solid tumors. The treatment of patients with TRK fusion cancer with a first-generation TRK inhibitor (such as larotrectinib or entrectinib) is associated with high response rates (&gt;75%), regardless of tumor histology and presence of metastases. Due to the efficacy of TRK inhibitor therapy of larotrectinib and entrectinib, it is clinically important to identify patients accurately and efficiently with TRK fusion cancer. In this retrospective study, we provide unique data on the incidence of oncogenic <italic>NTRK</italic> gene fusions in patients with brain metastases (BM) and gliomas.</p>
</sec>
<sec>
<title>Methods</title>
<p>140 samples fixed and paraffin-embedded tissue (FFPE) of adult patients (59 of gliomas [17 of WHO grade II, 20 of WHO grade III and 22 glioblastomas] and 81 of brain metastasis (BM) of different primary tumors) are analyzed. Identification of <italic>NTRK</italic> gene fusions is performed using next-generation sequencing (NGS) technology using Focus RNA assay kit (Thermo Fisher Scientific).</p>
</sec>
<sec>
<title>Results</title>
<p>We identified an <italic>ETV6 (5)::NTRK3</italic> (<italic>15</italic>) fusion event using targeted next-generation sequencing (NGS) in one of 59 glioma patient with oligodendroglioma&#x2013;grade II, IDH-mutated and 1p19q co-deleted at incidence of 1.69%. Five additional patients harboring <italic>TMPRSS (2)::ERG (4)</italic> were identified in pancreatic carcinoma brain metastasis (BM), prostatic carcinoma BM, endometrium BM and oligodendroglioma (grade II), IDH-mutated and 1p19q co-deleted. A <italic>FGFR3 (17)::TACC3 (11)</italic> fusion was identified in one carcinoma breast BM. Aberrant splicing to produce <italic>EGFR</italic> exons 2-7 skipping mRNA, and <italic>MET</italic> exon 14 skipping mRNA were identified in glioblastoma and pancreas carcinoma BM, respectively.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>This study provides data on the incidence of <italic>NTRK</italic> gene fusions in brain tumors, which could strongly support the relevance of innovative clinical trials with specific targeted therapies (larotrectinib, entrectinib) in this population of patients. <italic>FGFR3 (17)::TACC3 (11)</italic> rearrangement was detected in breast carcinoma BM with the possibility of using some specific targeted therapies and <italic>TMPRSS (2)::ERG (4)</italic> rearrangements occur in a subset of patients with, prostatic carcinoma BM, endometrium BM, and oligodendroglioma (grade II), IDH-mutated and 1p19q co-deleted, where there are yet no approved ERG-directed therapies.</p>
</sec>
</abstract>
<kwd-group>
<kwd>NTRK gene fusion</kwd>
<kwd>TMPRSS gene fusion</kwd>
<kwd>FGFR3 gene fusion</kwd>
<kwd>glioma</kwd>
<kwd>brain metastases</kwd>
<kwd>NGS analysis</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="65"/>
<page-count count="17"/>
<word-count count="7625"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Molecular Targets and Therapeutics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The tropomyosin receptor kinase (TRK) family of receptors is composed of TRKA, TRKB, and TRKC, which are neurotrophic tyrosine receptor kinase (NTRK) proteins encoded by the <italic>NTRK1</italic>, <italic>NTRK2</italic> and <italic>NTRK3</italic> genes, respectively (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). These receptors are highly expressed in neural tissue and participate in the development and proper functioning of the central nervous system (CNS). These receptors activate the RAS/MAPK pathway and can also signal via the PI3K/AKT/mTOR and the PLC&#x3b3;/PLK pathways, depending on which docking protein binds to the kinase domain. Via these pathways, the signal transduction leads to neuronal survival, development, proliferation, synaptic plasticity, neuronal differentiation as well as memory and cognition (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). These receptors and their signaling cascade are also implicated in neoplastic cells (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Although mutations and alternative splicing occur, fusions are the most common aberrations of NTRK in tumors. Gene fusion events that involve <italic>NTRK</italic> genes (<italic>NTRK1</italic>, <italic>NTRK2</italic> and <italic>NTRK3</italic>) occur when the 3&#x2019; region of a <italic>NTRK</italic> gene encoding the tyrosine kinase domain is joined in-frame with 5&#x2019;-end of a fusion partner gene, either by intra- or inter-chromosomal rearrangement (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). The resulting fusion oncogene leads to the production of chimeric protein, with a constitutive activation of the kinase, due to loss of the extracellular domain, continuous downstream signaling and thus proliferation and cell survival (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>Among adult and pediatric patients, the incidence of <italic>NTRK</italic> gene fusions varies between &lt;5% in solid cancers (e.g., lung cancer, colorectal cancer, glioma) and &gt;75% in rare cancers (e.g., infantile fibrosarcoma, secretory breast, secretory carcinoma of the salivary gland) (<xref ref-type="bibr" rid="B9">9</xref>). The presence of <italic>NTRK</italic> gene fusions in both adult and pediatric populations suggests it may be one of the first oncogenic drivers that are both tissue- and age-agnostic (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>).</p>
<p>Regarding the central nervous system (CNS) tumors, <italic>NTRK</italic> fusions occur in up to 2% of gliomas in adults (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>). The incidence in pediatric high-grade gliomas (HGG) and diffuse infiltrating pontine glioma is around 5% and even 40% in infants with non-brainstem HGG (<xref ref-type="bibr" rid="B15">15</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). <italic>NTRK2</italic> is the most common fusion partner of the NTRK family in pediatric brain tumors (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Nevertheless, the occurrence of <italic>NTRK</italic> gene fusions in different types of brain tumors in adults remain quite unexplored.</p>
<p>The <italic>FGFR</italic> family exists of four transmembrane tyrosine kinase receptors (FGFR 1-4). The FGFR plays an important role in embryonal CNS development and in tumorigenesis, regulating angiogenesis, proliferation, differentiation, migration, and survival. <italic>FGFR</italic> genomic alterations (amplification, mutations, and fusions) occur in ~ 8% of gliomas, with most aberrations occurring in <italic>FGFR1</italic> and <italic>FGFR3</italic> (<xref ref-type="bibr" rid="B19">19</xref>). Chromosomal translocations that fuse the tyrosine kinase domains of <italic>FGFR1</italic> or <italic>FGFR3</italic> and <italic>TACC1</italic> or <italic>TACC3</italic> have been identified in 2% to 4% of gliomas (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). The IDH1/2 wild-type (3.5%) but none of IDH1/2-mutant grade II and III gliomas harbored <italic>FGFR3</italic>-<italic>TACC3</italic> fusions (<xref ref-type="bibr" rid="B21">21</xref>). <italic>FGFR</italic>-<italic>TACC</italic> rearrangements are reported in 2.9% of glioblastoma (GBM) (<xref ref-type="bibr" rid="B21">21</xref>). These <italic>FGFR</italic> fusion genes, such as <italic>FGFR3</italic>-<italic>TACC3</italic>, are capable of ligand-independent dimerization by virtue of the newly fused coiled-coil domain and have demonstrated oncogenic potential <italic>in vitro</italic> and <italic>in vivo</italic> (<xref ref-type="bibr" rid="B20">20</xref>). Further, <italic>FGFR3</italic>-<italic>TACC3</italic> fusion has been reported as predictive of response to FGFR tyrosine kinase inhibitors both preclinically (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>) and clinically in various solid tumors including gliomas (<xref ref-type="bibr" rid="B21">21</xref>). Clinical trials with FGFR inhibitors in brain tumors are being conducted (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). FGFR fusions also have been identified as oncogenic drivers in breast tumors, lung cancer, and bladder carcinomas. <italic>FGFR3</italic>-<italic>TACC3</italic> fusions were identified in a subset of bladder carcinomas (<xref ref-type="bibr" rid="B25">25</xref>), raising an interest in FGFR pathway inhibitors (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>The detection of <italic>NTRK</italic> and <italic>FGFR</italic> gene fusions in brain tumors and brain metastases is relevant in clinical practice because these alterations can be predictive biomarkers and therapeutic targets for specific kinase inhibitors. <italic>NTRK</italic> and <italic>FGFR</italic> gene fusions result in overexpression of the fusion kinase and its constitutive activation, promoting tumor growth as a driver mutation. Both NTRK and FGFR inhibitors are currently being or already tested in clinical trials with patients who have fusions and available for treatment in tumors, respectively. Therefore, assessing <italic>NTRK</italic> and <italic>FGFR</italic> gene fusions in brain tumors and brain metastases could help identify those patients who could receive a clinically relevant response. Clinical outcomes from administering the above-targeted kinase inhibitors for patients could benefit from therapy if the <italic>NTRK</italic> and <italic>FGFR</italic> gene fusions were detected.</p>
<p>The incidence of cancer-associated fusions in patients with brain tumors remains poorly documented in France. Although several diagnostic approaches can be used to detect gene fusions, RNA-based next generation sequencing remains one of the most sensitive methods, as it can directly detect the transcribed product of gene fusion at the mRNA level (<xref ref-type="bibr" rid="B26">26</xref>). In this retrospective study, we herein report the results of detection of incidence of cancer-associated fusions in different types of brain tumors (gliomas and brain metastases).</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>Patients&#x2019; selection</title>
<p>Patients were selected for the analysis of brain tumors samples to NGS. This retrospective, single-center, exploratory study was reviewed and approved by the Institutional Ethic Committee of Ramsay Sant&#xe9;. Patient samples were identified from the AP-HM tumor library (AC-2013-1786) using the electronic patient record.</p>
<p>The selection criteria were adult patient with histologically proven glioma and brain metastasis (BM) operated in Clairval hospital since February 2015, paraffin-embedded tissue samples (&lt; 5 years old) available in the AP-HM biobank with clinico-radiological data. Written informed consent was obtained from all patients to use of their tumor samples for research purposes and no-opposition was obtained from all patients to use their personal and medical data.</p>
<p>Samples from 140 patients with a brain tumor (59 glioma samples including [17 glioma-grade II, 20 glioma-grade III and 22 glioma-grade IV] and 81 BM samples) were selected for this study.</p>
<p>Data collected included: sex of patients, age at time of surgery, patient habits (smoking), location of brain tumor, tumor histology with molecular data, origin of primary tumor for BM samples, previous treatments (chemotherapy, immunotherapy, radiotherapy, others, &#x2026;), tumor percentage of samples analyzed, NGS results (transcript fusions), date of recurrence/progression, postoperative treatments, date of death and patient consent for scientific research.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>RNA based Next-Generation Sequencing (NGS)</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Tumor specimens and RNA preparation</title>
<p>Blocks of FFPE tumor were obtained from the pathology archives of Clairval hospital (Marseille). Tumor-rich areas (80% to 90%) were dissected from unstained sections by comparison with a hematoxylin and eosin-stained slide (HES-slide). Total RNAs were extracted using the Maxwell<sup>&#xae;</sup> RSC RNA FFPE Kit (Promega, Lyon, France) with treatment with DNAse. RNAs were eluted with 50 &#xb5;L of elution buffer, and purified RNA was quantified with a Qubit fluorometer (Quantifluor RNA system, Promega).</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Detection of Gene Fusions</title>
<p>The panel RNA Oncomine&#x2122; FOCUS Assay (OFA) contains a targeted, multi-biomarker panel that enables highly sensitive and robust detection of known fusions covering &gt; 284 isoforms from 23 fusion drivers associated with solid tumors (Solid Tumor Fusion Transcript Panel Oncomine Focus Assay (A35956) Thermo Fisher Scientific). The panel also includes control amplicons representing five housekeeping gene transcripts (MYC, ITGB7, HMBS, LRP1, TBP), as well as amplicons that detect exons in the 5&#x2019; and 3&#x2019; regions of 4 of the target kinases (ALK, RET, ROS, NTRK). The latter are used to evaluate whether relative overexpression of the 3&#x2019; kinase domain is indicative of a gene fusion.</p>
<p>Amplicons sequencing libraries were prepared with 10 ng of RNA, according to manufacturer&#x2019;s instructions with Oncomine Focus RNA assay kit using the AmpliSeq Kit (Thermo Fisher Scientific). Briefly, reverse transcription of total RNA with the superscript IV VILO Master-mix (Thermo Fisher Scientific) and amplification with the multiplexed fusion pool. Library preparation was performed according to the manufacturer&#x2019;s instructions and concentration was determined using a quantitative PCR with the Ion library TaqMan&#xae; Quantitation kit (cat. No. 44688002). Libraries typically have yields of 100-500 pM and below 100 pM the library is excluded. Final libraries were diluted, pooled and further processed on Ion spheres using Ion 530 Chef Kits (Thermo Fisher Scientific) on the Ion Chef (Thermo Fisher Scientific). Sequencing was performed on the Ion S5-XL System, with 500 flows, and subsequent quality assessment for the run was completed using the Torrent Suite Software v5.16 (Thermo Fisher Scientific). Obligatory run metrics were composed of mean RNA read length (&gt; 60bp), mean raw accuracy (&gt; 99%), and total sequencing reads (&gt; x 21,000,000). Further sample-specific quality assessment and analysis was completed using Ion reporter software (v5.12 February 2020, Thermo Fisher Scientific). For RNA variant annotation, the &#xab; Oncomine focus-520-w2.5-Fusions-Single Sample&#x201d; workflow was used with default parameters. The validation criteria for RNA samples were as follows: each sample must generate at least 50,000 reads mapped and have a minimum mean read length of 60 bp. Additionally, at least three of the five RNA internal controls (TBP, LRP1, ITGB7, MYC, and HMBS) must be called. Finally, RNA alterations were reported only if a minimum number of reads was reached: 20 for targeted fusions, 250 for non-targeted fusions, and 120 for exon skipping.</p>
<p>To evaluate the limit of detection of the Oncomine assay, a dilution (1/10) of Seraseq Fusion RNA reference materials (SeraSeq fusion RNA Mix v4; Part Code 0710-0497; Seracare Life sciences Inc., Milford, MA) was made in a background of GM24386 RNA (mild-type material). Seventeen clinically relevant RNA fusions, which include <italic>TPM3</italic>-<italic>NTRK1</italic>, <italic>FGFR3-TACC3, ETV6</italic>-<italic>NTRK3</italic>, <italic>TFG</italic>-<italic>NTRK1</italic>, <italic>CCDC6-RET</italic>, <italic>CD74-ROS1</italic>, <italic>FGFR3-BAIAP2L1</italic>, <italic>KIF5B</italic>-<italic>RET</italic>, <italic>EML4</italic>-<italic>ALK</italic>, <italic>LMNA-NTRK1, NCOA4-RET</italic>, <italic>PAX8</italic>-<italic>PPARG1</italic>, <italic>SLC34A2</italic>-<italic>ROS1</italic>, <italic>SLC45A3</italic>-<italic>BRAF</italic>, <italic>TMPRSS2-ERG</italic>, <italic>EGFR variant III</italic> and <italic>MET ex 14</italic> skipping, were tested using Seraseq Fusion RNA Reference Materials (Seracare Life Sciences Inc.), to evaluate analytical sensitivity of the assay.</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Mutation calling</title>
<p>For detection of gene fusions and gene expression, the raw data in FASTQ format generated by the S5-XL were aligned to a custom reference genome using Torrent Suite version 5.18, with alignment performed by TMAP (<ext-link ext-link-type="uri" xlink:href="https://github.com/iontorrent/TMAP">https://github.com/iontorrent/TMAP</ext-link>; accessed February 2021), following removal of adapter sequences by Cutadapt software version 1.2.1 (<xref ref-type="bibr" rid="B27">27</xref>). The custom reference genome was assembled to include sequences of the designed fusion transcripts, normal transcripts of the genes involved in the fusions, gene regions for differential expression analysis, and the entire hg19 reference genome. Quality control of the raw FASTQ data was performed internally by the Torrent Suite software. Additionally, sequence reads were manually inspected in the Integrative Genomics Viewer (IGV; Broad Institute, Cambridge, MA). Notably, variant calling was performed using Ion Reporter software. Subsequently, fusion partners identified by the amplicon panel were further confirmed by RT-PCR analysis.</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>RT-PCR validation of fusion transcripts</title>
<p>RT-PCR of <italic>ETV6</italic>-<italic>NTRK3</italic>, <italic>TMPRSS2</italic>-<italic>ERG, FGFR3</italic>-<italic>TACC3</italic> fusion transcripts in formalin-fixed paraffin-embedded sections was based on previously described methods (<xref ref-type="bibr" rid="B28">28</xref>). Briefly, RNA was isolated from two 30 &#x3bc;m paraffin sections and reverse-transcribed to cDNA as described by the manufacturer (Thermo Fisher Scientific). The cDNA was then subjected to PCR for <italic>ETV6</italic>-<italic>NTRK3</italic> using sense TEL971 (5&#x2019;-ACCACATCATGGTCTCTCTGTCTCCC-3&#x2019;) and antisense TRKC 1059 (5&#x2019;- CAGTTCTCGCTTCAGCACGATG-3&#x2019;) primers (<xref ref-type="bibr" rid="B24">24</xref>); for <italic>TMPRSS2-ERG</italic> using <italic>TMPRSS2</italic> sense primer (nt: 81-98; 5&#x2019;-GAGGTGAAAGCGGGTGTG-3&#x2019;) and <italic>ERG</italic> antisense primer (nt: 253-234; 5&#x2019;-GGCACACTCAAACAACGACT-3&#x2019;); for <italic>FGFR3-TACC3</italic> using <italic>FGFR3</italic> sense primer (nt:2514-2533; 5&#x2019;-GACCTGGACCGTGTCCTTAC-3&#x2019;) and <italic>TACC3</italic> antisense primer (nt: 2087-2067; 5&#x2019;-TCTCCTCCTGTGTCGCCTTT-3&#x2019;). PCR conditions were as follows: 94&#xb0;C for 5&#xa0;min, followed by 35 cycles of 94&#xb0;C for 45 s, 60&#xb0;C for 1&#xa0;min, 72&#xb0;C for 1&#xa0;min and a final extension of 72&#xb0;C for 10&#xa0;min. The reaction produced a 110 bp, 180 bp, and 108 bp PCR fragments for <italic>ETV6</italic>-<italic>NTRK3</italic>, <italic>TMPRSS2</italic>-<italic>ERG</italic>, and <italic>FGFR3-TACC3</italic>; respectively. Amplified products were visualized by electrophoresis using 2% polyacrylamide gels stained with ethidium bromide. <italic>ETV6</italic>-<italic>NTRK3</italic>, <italic>TMPRSS2-ERG</italic>, <italic>FGFR3-TACC3</italic> amplification products were confirmed by sequencing of the PCR products.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analyses</title>
<p>The inclusion population was described according to all patient characteristics. A descriptive analysis of the variables of interest included the frequencies of patient demographics, histology of brain tumors, origin of primary tumors, transcript fusions and exons skipping genes, was carried out by SAS<sup>&#xae;</sup> Software.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Characteristics of patients and samples</title>
<p>A total of 140 samples were analyzed, including 59 samples from patients operated on glioma with the following distribution: 17 samples from WHO grade II glioma, 20 from WHO grade III glioma and 22 from WHO grade IV glioma (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The remaining 81 samples are from patients operated on BM, from 13 different types of primary tumors (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Among brain metastasis tumors histology, breast cancer and lung cancer were represented at 28.4% and 27.2%, respectively (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The median percentage of cellularity of the samples analyzed was 90% (n = 140, range: 1-100%).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of glioma patients and tumor genomic alterations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">N&#xb0;</th>
<th valign="middle" align="left">Gender</th>
<th valign="middle" align="left">Age (yrs)</th>
<th valign="middle" align="left">Histology diagnosis</th>
<th valign="middle" align="left">Grade</th>
<th valign="middle" align="left">IDH 1/2</th>
<th valign="middle" align="left">Other genetic alterations</th>
<th valign="middle" align="left">WHO classification</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">25.9</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">59.1</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">60.0</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">26.3</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">48.0</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">37.2</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">62.3</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">56.9</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q not-co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">66.9</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">56.3</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">24.8</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">41.6</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">77.2</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q not-co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">50.3</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">35.5</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q not-co-deleted</td>
<td valign="middle" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">57.2</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">44.9</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">39.0</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">26.2</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">50.4</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">64.5</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">32.1</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">36.7</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">43.6</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">1p19q not-co-deleted</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">51.0</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">26</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">61.5</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">37.7</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">28</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">36.0</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">31.9</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">34.8</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">31</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">37.4</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">46.4</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">42.7</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">52.6</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">63.7</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">42.0</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">63.2</td>
<td valign="middle" align="center">oligodendroglioma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">1p19q co-deleted</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">36.8</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">39</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">43.7</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">58.1</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">41</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">29.8</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">42</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">40.9</td>
<td valign="middle" align="center">astrocytoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">IDHm</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">43</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">37.5</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">44</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">55.1</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">48.8</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">46</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">62.0</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">47</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">71.7</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">67.1</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">49</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">73.3</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">51.1</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">66.0</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">52</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">43.4</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">56.1</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">54</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">85.2</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">55</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">73.3</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">68.8</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">57</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">51.8</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">58</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">72.5</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
<tr>
<td valign="middle" align="center">59</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">68.8</td>
<td valign="middle" align="center">glioblastoma</td>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">
<italic>wt</italic>
</td>
<td valign="middle" align="center">NA</td>
<td valign="top" align="center">2021</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NA, not available; wt, wildtype; M, Male; F, Female.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Prevalence of molecular profiles of gliomas samples analyzed. Astrocytoma IDH-mutated (n = 9; 10.2%) with three tumors (n = 3; 5.08%) do not present 1p19q co-deletion (arrow). Astrocytoma IDH-not mutated (n = 4; 6.8%) among which one tumor having 1p19q not co-deleted (1.7%) (arrow).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Brain Metastasis histology diagnosis.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center">N&#xb0;</th>
<th valign="middle" align="center">Gender</th>
<th valign="middle" align="center">Age (yrs)</th>
<th valign="middle" align="center">Histology diagnosis</th>
<th valign="middle" align="center">Primary tumor</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">1</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">59.8</td>
<td valign="middle" align="center">BM from pancreatic adenocarcinoma</td>
<td valign="middle" align="center">pancreas</td>
</tr>
<tr>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">74.5</td>
<td valign="middle" align="center">BM from poorly differentiated carcinoma of esophagus</td>
<td valign="middle" align="center">esophagus</td>
</tr>
<tr>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">60.6</td>
<td valign="middle" align="center">BM from oesophageal adenocarcinoma</td>
<td valign="middle" align="center">esophagus</td>
</tr>
<tr>
<td valign="middle" align="center">4</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">67.8</td>
<td valign="middle" align="center">BM from oesophageal adenocarcinoma</td>
<td valign="middle" align="center">esophagus</td>
</tr>
<tr>
<td valign="middle" align="center">5</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">70.3</td>
<td valign="middle" align="center">BM from urothelial carcinoma</td>
<td valign="middle" align="center">urothelial</td>
</tr>
<tr>
<td valign="middle" align="center">6</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">56.5</td>
<td valign="middle" align="center">BM from urothelial carcinoma</td>
<td valign="middle" align="center">urothelial</td>
</tr>
<tr>
<td valign="middle" align="center">7</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">61.2</td>
<td valign="middle" align="center">BM from gastric adenocarcinoma</td>
<td valign="middle" align="center">esophagus</td>
</tr>
<tr>
<td valign="middle" align="center">8</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">62.4</td>
<td valign="middle" align="center">BM from endometrial adenocarcinoma</td>
<td valign="middle" align="center">endometrium</td>
</tr>
<tr>
<td valign="middle" align="center">9</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">72.5</td>
<td valign="middle" align="center">BM from rectal Lieberkhunian adenocarcinoma</td>
<td valign="middle" align="center">Rectum</td>
</tr>
<tr>
<td valign="middle" align="center">10</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">73.6</td>
<td valign="middle" align="center">BM from digestive adenocarcinoma</td>
<td valign="middle" align="center">rectum</td>
</tr>
<tr>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">66.2</td>
<td valign="middle" align="center">BM from ovarian adenocarcinoma</td>
<td valign="middle" align="center">ovary</td>
</tr>
<tr>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">78.2</td>
<td valign="middle" align="center">BM from ovarian serous carcinoma</td>
<td valign="middle" align="center">ovary</td>
</tr>
<tr>
<td valign="middle" align="center">13</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">69.2</td>
<td valign="middle" align="center">BM from prostatic adenocarcinoma</td>
<td valign="middle" align="center">prostate</td>
</tr>
<tr>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">78.2</td>
<td valign="middle" align="center">BM from prostatic adenocarcinoma</td>
<td valign="middle" align="center">prostate</td>
</tr>
<tr>
<td valign="middle" align="center">15</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">73.0</td>
<td valign="middle" align="center">BM from prostatic adenocarcinoma</td>
<td valign="middle" align="center">prostate</td>
</tr>
<tr>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">42.4</td>
<td valign="middle" align="center">BM from malignant melanoma</td>
<td valign="middle" align="center">melanoma</td>
</tr>
<tr>
<td valign="middle" align="center">17</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">45.5</td>
<td valign="middle" align="center">BM from malignant melanoma</td>
<td valign="middle" align="center">melanoma</td>
</tr>
<tr>
<td valign="middle" align="center">18</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">43.9</td>
<td valign="middle" align="center">BM from malignant melanoma</td>
<td valign="middle" align="center">melanoma</td>
</tr>
<tr>
<td valign="middle" align="center">19</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">73.0</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">20</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">57.8</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">21</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">67.3</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">22</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">74.8</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">23</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">77.5</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">52.5</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">63.6</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">26</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">59.3</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">27</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">55.4</td>
<td valign="middle" align="center">BM from colonic adenocarcinoma</td>
<td valign="middle" align="center">colon</td>
</tr>
<tr>
<td valign="middle" align="center">28</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">67.5</td>
<td valign="middle" align="center">BM from conventional renal cell adenocarcinoma</td>
<td valign="middle" align="center">kidney</td>
</tr>
<tr>
<td valign="middle" align="center">29</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">73.9</td>
<td valign="middle" align="center">BM from renal cell carcinoma</td>
<td valign="middle" align="center">kidney</td>
</tr>
<tr>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">78.0</td>
<td valign="middle" align="center">BM from clear cell renal carcinoma</td>
<td valign="middle" align="center">kidney</td>
</tr>
<tr>
<td valign="middle" align="center">31</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">76.5</td>
<td valign="middle" align="center">BM from conventional renal cell adenocarcinoma</td>
<td valign="middle" align="center">kidney</td>
</tr>
<tr>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">47.9</td>
<td valign="middle" align="center">BM from conventional renal cell adenocarcinoma</td>
<td valign="middle" align="center">kidney</td>
</tr>
<tr>
<td valign="middle" align="center">33</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">56.9</td>
<td valign="middle" align="center">BM from conventional renal cell carcinoma with sarcomatoid features</td>
<td valign="middle" align="center">kidney</td>
</tr>
<tr>
<td valign="middle" align="center">34</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">71.6</td>
<td valign="middle" align="center">BM from parotid adenocarcinoma</td>
<td valign="middle" align="center">paritid</td>
</tr>
<tr>
<td valign="middle" align="center">35</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">33.0</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">36</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">51.6</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">49.7</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">38</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">78.1</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">39</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">64.0</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">52.6</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">41</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">76.4</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">42</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">40.7</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">43</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">73.5</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">44</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">58.6</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">45</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">73.5</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">46</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">58.6</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">47</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">66.6</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">57.0</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">49</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">70.5</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">50</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">57.6</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">51</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">36.9</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">52</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">73.1</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">53</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">65.3</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">54</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">53.9</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">55</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">51.0</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">56</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">77.3</td>
<td valign="middle" align="center">BM from poorly differentiated<break/>squamous cell lung carcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">57</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">85.7</td>
<td valign="middle" align="center">BM from small cell carcinoma-like<break/>neuroendocrine lung carcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">58</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">65.7</td>
<td valign="middle" align="center">BM from moderately differentiated<break/>squamous cell lung carcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">59</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">85.7</td>
<td valign="middle" align="center">BM from moderately differentiated<break/>non-keratinizing squamous cell lung carcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">60</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">74.8</td>
<td valign="middle" align="center">BM from well-differentiated keratinizing<break/>squamous cell lung carcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">61</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">66.4</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">62</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">72.9</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">63</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">64.6</td>
<td valign="middle" align="center">BM from papillary-type lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">64</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">67.1</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">65</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">57.0</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">66</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">66.1</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">67</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">66.0</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">68</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">70.2</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">63.4</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">70</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">76.0</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">71</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">50.3</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">72</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">67.1</td>
<td valign="middle" align="center">BM from neuroendocrine carcinoma<break/>of small cell lung carcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">79.0</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">74</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">77.4</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">75</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">62.3</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">76</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">65.4</td>
<td valign="middle" align="center">BM from anaplastic small cell lung carcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">77</td>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">49.2</td>
<td valign="middle" align="center">BM from lung adenocarcinoma</td>
<td valign="middle" align="center">lung</td>
</tr>
<tr>
<td valign="middle" align="center">78</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">73.4</td>
<td valign="middle" align="center">BM from ovarian adenocarcinoma</td>
<td valign="middle" align="center">ovary</td>
</tr>
<tr>
<td valign="middle" align="center">79</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">59.9</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">80</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">76.7</td>
<td valign="middle" align="center">BM from breast adenocarcinoma</td>
<td valign="middle" align="center">breast</td>
</tr>
<tr>
<td valign="middle" align="center">81</td>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">55.8</td>
<td valign="middle" align="center">BM from uterine adenocarcinoma</td>
<td valign="middle" align="center">uterus</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Prevalence of primary tumor types of brain metastases samples analyzed. Eighty-one samples are from patients operated on BM, from 13 different types of primary tumors as shown in the figure. Breast cancer, lung cancer, and colorectal cancer were represented at 28.4%, 27.2%, and 13.6%, respectively. The rest of the primary tumors were represented with percentage comprised between 2.5% to 7.4%.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g002.tif"/>
</fig>
<p>The patients&#x2019; characteristics are summarized in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. In the overall population analyzed, we had as many men as women. The average age at the time of surgery is 58.6 &#xb1; 14.5 with a median age of 60.9 [rank: 24.8 &#x2013; 85.7]. The demographic characteristics of the two cohorts: gliomas and BM are also detailed in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Demographic characteristics of the two cohorts: glioma and BM.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="left">Total population<break/>n = 140</th>
<th valign="middle" align="left">Gliomas<break/>n = 59</th>
<th valign="middle" align="left">Brain metastasis<break/>n = 81</th>
</tr>
<tr>
<th valign="middle" align="left">Characteristics</th>
<th valign="middle" align="left">Value</th>
<th valign="middle" align="left">Value</th>
<th valign="middle" align="left">Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<bold>Age at surgery (yrs)</bold>
<break/>
<bold>Median</bold>
<break/>
<bold>Mean +/- SD</bold>
<break/>
<bold>Range</bold>
</td>
<td valign="middle" align="center">
<bold>60.9</bold>
<break/>
<bold>58.6 +/- 14.5</bold>
<break/>
<bold>24.8 &#x2013; 85.7</bold>
</td>
<td valign="middle" align="center">
<bold>50.4</bold>
<break/>
<bold>50.6 +/- 14.7</bold>
<break/>
<bold>24.8 &#x2013; 85.2</bold>
</td>
<td valign="middle" align="center">
<bold>66.0</bold>
<break/>
<bold>64.5 +/- 11.2</bold>
<break/>
<bold>33.0 &#x2013; 85.7</bold>
</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>Gender</bold>
<break/>
<bold>Males</bold>
<break/>
<bold>Females</bold>
</td>
<td valign="middle" align="center">
<bold>70 (50.0%)</bold>
<break/>
<bold>70 (50.0%)</bold>
</td>
<td valign="middle" align="center">
<bold>37 (62.7%)</bold>
<break/>
<bold>22 (37.3%)</bold>
</td>
<td valign="middle" align="center">
<bold>33 (40.7%)</bold>
<break/>
<bold>48 (59.3%)</bold>
</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Baseline characteristics of the panel</title>
<p>Several groups have published on multiplex amplicon approaches that specifically target fusions across known break points (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). The main advantages of such amplicon approaches include lower-input requirements, potentially increased sensitivity attributable to extensive amplification, shorter technical time for the assay, and reduced complexity for data analysis.</p>
<p>In accordance with our pre-defined quality control parameter, the sequencing data was processed carefully to make sure the correctness of the analysis. Quality control was an integral part of our strategy where specific metrics such as mean RNA read length (&gt; 60 bp) and mean raw accuracy (&gt; 99%) are used as indicators of sequencing. Besides, the minimum threshold of total sequencing reads (&gt; x 21,000,000) was set to ensure the adequacy of coverage for the reliable analysis. The quality of sequencing data was assessed by analyzing the number of mapped reads by analyzing the number of mapped reads for each sample. Most samples exhibited consistent and high levels of mapped reads, ranging from approximately 150,000 to 400,000 reads. This consistency indicated successful library preparation, sequencing, and alignment processes for most the samples.</p>
<p>Transcripts derived from five housekeeping genes ranged from a mean of approximately 700 (<italic>HBM5</italic>) to 15,000 (<italic>TBP</italic>) reads per 100,000 mapped reads. The expression of housekeeping genes was evaluated in 59 gliomas and 81 metastases. The panel revealed no significant variability in expression of housekeeping genes between metastatic and primary tumors (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The 3&#x2019;/5&#x2019; read ratio was measured for 4 kinases (ALK, NTRK, RET, ROS) on the panel. The observed reads in the gliomas and metastasis samples ranged from approximately 100 to 10,000 mapped reads per 100,000 mapped reads (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The 3&#x2019;/5&#x2019; ratios were close to one for the four kinases (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Evaluation of brain gliomas and brain metastasis tissues specimens. <bold>(A)</bold>, Expression levels of five housekeeping genes are depicted as the normalized number of reads per 100,000 reads mapped to assay amplicons for each transcript and represent the means &#xb1; SD derived from 59 gliomas and 81 brain metastasis tissue specimens. <bold>(B)</bold>, Expression levels of 5&#x2019; and 3&#x2019; exons in 4 kinases are depicted as the means &#xb1; SD of the normalized sequence reads observed in 59 gliomas and 81 brain metastasis tissue specimens.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g003.tif"/>
</fig>
<p>To determine the limit of detection of the RNA Oncomine assay to detect the fusion transcripts, SeraSeq Fusion RNA Mix v4 (Seracare Life Sciences Inc.) was used, which contains 17 clinically relevant <italic>NTRK</italic> fusions, including high prevalence fusions, such as <italic>TPM3</italic>-<italic>NTRK1</italic> and <italic>FGFR3-TACC3, ETV6</italic>-<italic>NTRK3</italic>, as well as less common fusions, such as <italic>TFG</italic>-<italic>NTRK1</italic>, <italic>CCDC6-RET</italic>, <italic>CD74-ROS1</italic>, <italic>FGFR3-BAIAP2L1</italic>, <italic>KIF5B</italic>-<italic>RET</italic>, <italic>EML4</italic>-<italic>ALK</italic>, <italic>LMNA-NTRK1, NCOA4-RET</italic>, <italic>PAX8</italic>-<italic>PPARG1</italic>, <italic>SLC34A2</italic>-<italic>ROS1</italic>, <italic>SLC45A3</italic>-<italic>BRAF</italic>, <italic>TMPRSS2-ERG</italic>, <italic>EGFR variant III</italic> and <italic>MET ex 14</italic> skipping. All 17 RNA fusions were detected by the panel RNA Oncomine&#x2122; FOCUS Assay (OFA) with 560, 1454, 455, 1014, 194, 222, 446, 391, 142, 37, 100, 118, 299, 460, 85, 126, and 264 mapped reads, respectively.</p>
<p>Based on these results, we defined a high-confidence gene fusion meeting the following criteria: a minimum threshold of 20 fusion reads per 100,000 reads mapped to assay amplicons (0.01%) and clear evidence that the reads spanned the target fusion. We further required a library yield at least 100,000 mapped reads for a specimen to be called truly negative.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Fusion gene detection in tumor specimens</title>
<p>We performed targeted NGS on a subset (n = 140) of tumors. This subset presents an average of tumor content &gt; 80%. The RNA sequencing analysis of 140 samples of the two cohorts &#x2018;gliomas and BM revealed samples with gene rearrangements that involve <italic>NTRK3</italic>, <italic>FGFR3</italic>, <italic>ERG</italic>, <italic>EGFR</italic>, or <italic>MET</italic> genes in seven samples (5%) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). In one tumor of 59 glioma specimens, one rearrangement with 6225 fusion reads mapped fusing exon 5 of the gene <italic>ETV6</italic> to exon 15 of <italic>NTRK3</italic> was identified (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>) in oligodendroglioma&#x2013;grade II, IDH-mutated and 1p19q co-deleted at frequency of 1.69%. The <italic>TMPRSS</italic> (<xref ref-type="bibr" rid="B2">2</xref>)<italic>::ERG</italic> (<xref ref-type="bibr" rid="B4">4</xref>) fusion (5/140 &#x2013; 3.6%) was the most frequently gene fusions detected with 1101, 3306, 8918, 116645 and 162560 fusion mapped reads (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>), two of them were identified in two patients operated on WHO grade II gliomas, both of whom had a history of other cancers (adenocarcinoma of the lower esophagus and papillary adenocarcinoma of thyroid), two were identified in two patients operated on for prostate carcinomas brain metastasis and one was identified in patient operated on for endometrium carcinomas brain metastasis. A rearrangement fusing exon 17 of the gene <italic>FGFR3</italic> to exon 11 of <italic>TACC3</italic> gene (1/140 &#x2013; 0.7%) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) was detected with 184470 fusion mapped reads in patient operated for breast carcinoma brain metastasis (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The high numbers of NGS mapped reads suggest the higher expression of the fusion transcripts in the tumor tissues (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>). The characteristics of the corresponding samples identified with fusions are summarized in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>. The visualization of RNA sequencing reads supports the fusion between the <italic>ETV6</italic> exon 5 and <italic>NTRK3</italic> exon 15 (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>), the <italic>TMPRSS</italic> exon 2 and <italic>ERG</italic> exon 4 (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>), and <italic>FGFR3</italic> exon 17 and <italic>TACC3</italic> exon 11 (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). We used specific PCR primers flanking the breaking points of <italic>ETV6</italic> (exon 5) and <italic>NTRK3</italic> (exon 15), <italic>FGFR3</italic> (exon 17) and <italic>TACC3</italic> (exon 11), and <italic>TMPRSS2</italic> (exon 2) and <italic>ERG</italic> (exon 4) to realize RT-PCR analysis in order to confirm and validate the identified fusions events by targeted RNA sequencing (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Frequencies and distributions of fusions for all brain gliomas and brain metastases with 140 cases analyzed. The RNA sequencing analysis of the two cohorts &#x2018;gliomas and BM demonstrated samples with gene rearrangements that involve <italic>NTRK3</italic>, <italic>FGFR3</italic>, <italic>ERG</italic>, <italic>EGFR</italic>, or <italic>MET</italic> genes in seven samples (5%). Different types of alterations are found such as <italic>ETV6 (</italic>
<xref ref-type="bibr" rid="B5">5</xref>)- <italic>NTRK3 (</italic>
<xref ref-type="bibr" rid="B15">15</xref>) (1/59 gliomas &#x2013; 1.69%), <italic>TMPRSS (</italic>
<xref ref-type="bibr" rid="B2">2</xref>)<italic>-ERG</italic> (<xref ref-type="bibr" rid="B4">4</xref>) fusion (5/140 &#x2013; 3.6%), <italic>FGFR3 (</italic>
<xref ref-type="bibr" rid="B17">17</xref>)-<italic>TACC3</italic> (<xref ref-type="bibr" rid="B11">11</xref>) fusion(1/140 &#x2013; 0.7%), <italic>EGFR (</italic>
<xref ref-type="bibr" rid="B1">1</xref>)<italic>-EGFR</italic> (<xref ref-type="bibr" rid="B8">8</xref>) RNA transcripts (4/59 gliomas - 6.78%); <italic>MET (</italic>
<xref ref-type="bibr" rid="B13">13</xref>)<italic>-MET</italic> (<xref ref-type="bibr" rid="B15">15</xref>) RNA transcripts (1/140 &#x2013; 0.7%).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Fusion gene detection in tumor specimens. One hundred forty samples of gliomas and brain metastases were sequenced with fusion gene amplicon panel. Twelve samples were found to harbor gene rearrangements that involve <italic>NTRK3</italic>, <italic>FGFR3</italic>, <italic>ERG, EGFR, and MET</italic>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g005.tif"/>
</fig>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Identified fusions and characteristics of the corresponding samples.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Identified fusions</th>
<th valign="top" align="left">NGS</th>
<th valign="middle" align="left">N&#xb0; of fusions</th>
<th valign="middle" rowspan="2" align="left">Gender</th>
<th valign="middle" rowspan="2" align="left">Age (yrs)</th>
<th valign="middle" rowspan="2" align="left">Histology</th>
</tr>
<tr>
<th valign="top" align="left">sequencing reads</th>
<th valign="middle" align="left">(n; %)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<bold>
<italic>NTRK</italic> gene fusion</bold>
</td>
<td valign="top" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" rowspan="4" align="center"/>
<td valign="middle" rowspan="4" align="center"/>
<td valign="middle" rowspan="4" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<bold>NTRK1</bold>
</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">
<bold>0 (0%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>NTRK2</bold>
</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">
<bold>0 (0%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>NTRK3</bold>
</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">
<bold>1 (1.69%)</bold>
</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>ETV6</italic> (<xref ref-type="bibr" rid="B5">5</xref>)<italic>::NTRK3</italic> (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">6225</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">66.8</td>
<td valign="middle" align="center">Oligodendroglioma (grade II) IDH-mutant &amp; 1p19q co-deleted</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>FGFR3</bold>
</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">
<bold>1 (0.7%)</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center"/>
<td valign="top" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<italic>FGFR3</italic> (<xref ref-type="bibr" rid="B17">17</xref>)<italic>::TACC3</italic> (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="top" align="center">184470</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">76.4</td>
<td valign="middle" align="center">Breast BM</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>TMPRSS2</bold>
</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">
<bold>5 (3.6%)</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<italic>TMPRSS2 (</italic>
<xref ref-type="bibr" rid="B2">2</xref>
<italic>)::ERG (</italic>
<xref ref-type="bibr" rid="B4">4</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">116645</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">73</td>
<td valign="middle" align="center">Prostatic BM</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>TMPRSS2 (</italic>
<xref ref-type="bibr" rid="B2">2</xref>
<italic>)::ERG (</italic>
<xref ref-type="bibr" rid="B4">4</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">1101</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">69.2</td>
<td valign="middle" align="center">Prostatic BM</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>TMPRSS2 (</italic>
<xref ref-type="bibr" rid="B2">2</xref>
<italic>)::ERG (</italic>
<xref ref-type="bibr" rid="B4">4</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">3306</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">62.4</td>
<td valign="middle" align="center">Endometrium BM</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>TMPRSS2 (</italic>
<xref ref-type="bibr" rid="B2">2</xref>
<italic>)::ERG (</italic>
<xref ref-type="bibr" rid="B4">4</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">162560</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">26.3</td>
<td valign="middle" align="center">Oligodendroglioma (grade II)* IDH-mutant &amp; 1p19q co-deleted</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>TMPRSS2 (</italic>
<xref ref-type="bibr" rid="B2">2</xref>
<italic>)::ERG (</italic>
<xref ref-type="bibr" rid="B4">4</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">8918</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">62.3</td>
<td valign="middle" align="center">Oligodendroglioma (grade II) IDH-mutant &amp; 1p19q co-deleted **</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*history of thyroid papillary adenocarcinoma; **history of adenocarcinoma of the lower esophagus; M, male; F, female.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Fusions confirmed by targeted Next Generation Sequencing. The presence of <italic>ETV6</italic>::<italic>NTRK3</italic> in oligodendroglioma (grade II), IDH-mutated and 1p19q co-deleted <bold>(A)</bold>, <italic>TMPRSS2</italic>::<italic>ERG</italic> in prostatic carcinoma BM, endometrium BM, and oligodendroglioma (grade II), IDH-mutated and 1p19q co-deleted <bold>(B),</bold> and <italic>FGFR3</italic>::<italic>TACC3</italic> in breast BM <bold>(C)</bold> is demonstrated by fusion amplicon panel. Visualization of RNA sequencing reads supports the fusions junctions between <italic>ETV6</italic> exon 5 and <italic>NTRK3</italic> exon 15, <italic>TMPRSS2</italic> exon 2 and <italic>ERG</italic> exon 4, and <italic>FGFR3</italic> exon 17 and <italic>TACC3</italic> exon 11.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g006.tif"/>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Polyacrylamide gel separation of the <italic>TMPRSS2 (</italic>
<xref ref-type="bibr" rid="B2">2</xref>)::<italic>ERG</italic> (<xref ref-type="bibr" rid="B4">4</xref>), <italic>FGFR3 </italic>(<xref ref-type="bibr" rid="B17">17</xref>)::<italic>TACC3</italic> (<xref ref-type="bibr" rid="B11">11</xref>)<italic>, ETV6 (</italic>
<xref ref-type="bibr" rid="B15">15</xref>)::<italic>NTRK3</italic> (<xref ref-type="bibr" rid="B15">15</xref>) fusion specific RT-PCR amplicons. Samples (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>) show one major band corresponding to the variant of the fusion between <italic>TMPRSS2</italic> exon 2 and <italic>ERG</italic> exon 4. Sample 7 shows a variant connecting exon 5 of <italic>ETV6</italic> and exon 15 of <italic>NTRK3</italic>. Sample 9 shows one variant fusing together <italic>FGFR3</italic> exon 17 and <italic>TACC3</italic> exon 11. The sample of total RNA from patient 80 which didn&#x2019;t show any fusion events was used as negative controls (lanes 6, 8, and 10). L; Ladder on base pair (bp).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g007.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Exons skipping transcripts</title>
<p>Four patients operated for GBM <italic>IDH</italic> wild-type (grade IV) showed <italic>EGFR</italic> exons 2-7 skipping mRNA with variable levels of the number of fusion reads at 8453, 25600, 31705, and 10214 reads, respectively, to generate <italic>EGFR</italic> (<xref ref-type="bibr" rid="B1">1</xref>)<italic>-EGFR</italic> (<xref ref-type="bibr" rid="B8">8</xref>) RNA transcripts (4/59 gliomas - 6.78%) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). One patient operated for pancreas carcinoma BM was identified harboring <italic>METex14</italic> skipping with 667 reads to generate <italic>MET</italic> (<xref ref-type="bibr" rid="B13">13</xref>)<italic>-MET</italic> (<xref ref-type="bibr" rid="B15">15</xref>) RNA transcripts (1/140 &#x2013; 0.7%) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>). The RNA sequence analysis supports the fusion of exon 1 to exon 8 for the <italic>EGFR</italic> gene (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>) and the fusion of exon 13 to exon 15 for the <italic>MET</italic> gene (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>). In contrast to DNAseq in which detection limits rely strictly on the prevalence of cancer cells present in the tumor sample, additional variation must be considered when dealing with RNAseq data, including expression of fusion genes, which can be highly variable. As can be observed in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref> and <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>, the number of reads of each alteration is highly variable between tumor samples meaning high variability of expression of these transcripts which, could be a consequence of <italic>in vivo</italic> conditions and microenvironment of each tumor sample. The more the number of reads is high the more the RNA transcript fusion is present.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Exons skipping transcripts and characterization of the corresponding samples.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Identified transcripts</th>
<th valign="top" align="center">NGS</th>
<th valign="middle" align="center">N&#xb0; of exons skipping transcripts</th>
<th valign="middle" rowspan="2" align="center">Gender</th>
<th valign="middle" rowspan="2" align="center">Age (yrs)</th>
<th valign="middle" rowspan="2" align="center">Histology</th>
</tr>
<tr>
<th valign="top" align="center">Sequencing reads</th>
<th valign="middle" align="center">(n; %)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="center">
<bold>
<italic>EGFR</italic>
</bold>
</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">
<bold>4 (6.7%)</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<italic>EGFR (</italic>
<xref ref-type="bibr" rid="B1">1</xref>
<italic>) &#x2013; EGFR (</italic>
<xref ref-type="bibr" rid="B8">8</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">8453</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">56.1</td>
<td valign="middle" align="center">GBM, IDH-wt</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>EGFR (</italic>
<xref ref-type="bibr" rid="B1">1</xref>
<italic>) &#x2013; EGFR (</italic>
<xref ref-type="bibr" rid="B8">8</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">102141</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">67.1</td>
<td valign="middle" align="center">GBM, IDH-wt</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>EGFR (</italic>
<xref ref-type="bibr" rid="B1">1</xref>
<italic>) &#x2013; EGFR (</italic>
<xref ref-type="bibr" rid="B8">8</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">31705</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">F</td>
<td valign="middle" align="center">66.7</td>
<td valign="middle" align="center">GBM, IDH-wt</td>
</tr>
<tr>
<td valign="middle" align="center">
<italic>EGFR (</italic>
<xref ref-type="bibr" rid="B1">1</xref>
<italic>) &#x2013; EGFR (</italic>
<xref ref-type="bibr" rid="B8">8</xref>
<italic>)</italic>
</td>
<td valign="top" align="center">25600</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">68.7</td>
<td valign="middle" align="center">GBM, IDH-wt</td>
</tr>
<tr>
<td valign="middle" align="center">
<bold>
<italic>MET</italic>
</bold>
</td>
<td valign="top" align="center"/>
<td valign="middle" align="center">
<bold>1 (0.7%)</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="middle" align="center">
<italic>MET</italic> (<xref ref-type="bibr" rid="B13">13</xref>) <italic>&#x2013; MET</italic> (<xref ref-type="bibr" rid="B15">15</xref>)</td>
<td valign="top" align="center">667</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">M</td>
<td valign="middle" align="center">59.8</td>
<td valign="middle" align="center">Pancreas BM</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>In glioma cohort: 89.8% no gene fusion; 1.7% ETV6 (<xref ref-type="bibr" rid="B5">5</xref>)::NTRK3 (<xref ref-type="bibr" rid="B15">15</xref>) fusion; 5.1% of EGFR exons 2-7 skipping to generate EGFR (<xref ref-type="bibr" rid="B1">1</xref>)-EGFR (<xref ref-type="bibr" rid="B8">8</xref>) transcripts; 0% FGR3 (<xref ref-type="bibr" rid="B17">17</xref>)::TACC3 (<xref ref-type="bibr" rid="B11">11</xref>) fusion; 0% of MET exon 14 skipping transcripts; 3.4% TMPRSS2 (<xref ref-type="bibr" rid="B2">2</xref>)::ERG (<xref ref-type="bibr" rid="B4">4</xref>) fusion; M, male; F, female; GBM, Glioblastoma; IDH-wt, IDH-wildtype.</p>
</fn>
<fn>
<p>In BM cohort: 92.6% no gene fusion; 0% of ETV6 (<xref ref-type="bibr" rid="B5">5</xref>)::NTRK3 (<xref ref-type="bibr" rid="B15">15</xref>) fusion; 1.2% of EGFR (<xref ref-type="bibr" rid="B1">1</xref>)::EGFR (<xref ref-type="bibr" rid="B8">8</xref>) fusion; 1.2% of FGR3 (<xref ref-type="bibr" rid="B17">17</xref>)::TACC3 (<xref ref-type="bibr" rid="B11">11</xref>) fusion; 1.3% of Met ex14 skipping to generate MET (<xref ref-type="bibr" rid="B13">13</xref>)-MET (<xref ref-type="bibr" rid="B15">15</xref>) transcripts; 3.8% of TMPRSS2 (<xref ref-type="bibr" rid="B2">2</xref>)::ERG (<xref ref-type="bibr" rid="B4">4</xref>) fusion.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Representation of the <italic>EGFR</italic> (<xref ref-type="bibr" rid="B1">1</xref>)-<italic>EGFR</italic> (<xref ref-type="bibr" rid="B8">8</xref>) in a GBM patient <bold>(A)</bold>, and <italic>MET</italic> (<xref ref-type="bibr" rid="B13">13</xref>)-<italic>MET</italic> (<xref ref-type="bibr" rid="B15">15</xref>) <bold>(B)</bold>, fusions transcripts. Visualization of RNA sequencing reads by Next Generation Sequencing demonstrates the fusion junction between <italic>EGFR</italic> exon 1<italic>-EGFR</italic> exon 8 and <italic>MET</italic> exon 13-<italic>MET</italic> exon 15.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g008.tif"/>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Brain tumors and brain metastasis molecular testing in clinics</title>
<p>Identifying molecular oncogenic drivers is crucial for precision oncology. Chromosomal rearrangements could result in gene fusions that lead to the expression of oncoproteins. When the fusion involves a receptor tyrosine kinase (RTK), the tyrosine kinase domain (TKD) is activated&#x2014;often constitutively and ligand-independent&#x2014;and downstream effectors of the receptor receive constant signaling, causing uncontrolled cell growth and invasiveness (<xref ref-type="bibr" rid="B32">32</xref>). Then, the tumor cell becomes dependent on this oncogenic RTK to maintain its malignant properties. This dependency, also called &#x201c;oncogene addiction,&#x201d; can be therapeutically approached with drugs that inhibit the activity of the oncoprotein (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). Currently, most RTKs inhibitors are designed to prevent either the binding of the ligand&#x2014;often by using monoclonal or bispecific antibodies, and antibody-drug conjugates&#x2014;or the binding of the ATP to the catalytic domain&#x2014;mostly with small molecules (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9</bold>
</xref>). According to clinical guidelines, an upfront genomic profiling test should be a priority to detect targetable oncogenic alterations in gliomas and brain metastases. Different diagnostic methods, including IHC, FISH, reverse transcriptase PCR, and DNA/RNA-based NGS, can be used to detect gene fusions. However, based on the increasingly frequent need for a comprehensive genomic evaluation, NGS panels are becoming the preferred approach.</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Targeted therapies available for the fusion proteins detected. Mutations or rearrangements in receptor tyrosine kinases (RTKs) result in constitutive activation of the kinase domain even in the absence of ligand binding and aberrant downstream signalling, leading to activation of multiple pathways, notably PI3K/AKT and RAS/MAPK. This allows for drug designs and development of targeted therapies specific to each oncogenic alteration, as illustrated in the figure. Created with <uri xlink:href="https://BioRender.com">BioRender.com</uri>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1382394-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Tumors often utilize a recurring mechanism to achieve over-expression of oncogenic kinases, which involves fusing kinases to genes that are highly expressed in tumors or the tissue of tumor-origin (<xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>). Since then, targeting the fusion genes has become the primary treatment option for fusion-positive patients, given that tumors with those fusions usually exhibit strong oncogenic addiction&#xa0;(<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B36">36</xref>). In our study, we observed an <italic>ETV6</italic> (<xref ref-type="bibr" rid="B5">5</xref>)<italic>::NTRK3</italic> (<xref ref-type="bibr" rid="B15">15</xref>) fusion in 1.69% of diffuse IDH-mutated 1p19q co-deleted oligodendroglioma (grade II), accounting for a significant portion of glioma by this mechanism. Although a prior study observed <italic>NTRK1</italic> fusions at an incidence of 1% in glioblastoma (<xref ref-type="bibr" rid="B37">37</xref>), we didn&#x2019;t find any <italic>NTRK1</italic> fusion in our series of 59 tumor samples from patients operated for low and high-grade gliomas. <italic>NTRK</italic> fusions are present in a small percentage of gliomas/neuroepithelial tumors, with an estimated incidence ranging from 0.55% to 2% (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). However, the incidence may be higher in certain groups, such as up to 5.3% in pediatric high-grade gliomas (HGG) (<xref ref-type="bibr" rid="B15">15</xref>), 4% of diffuse intrinsic pontine gliomas (DIPG), and up to 40% of non-brainstem HGG in patients younger than 3 years old (<xref ref-type="bibr" rid="B33">33</xref>). Gliomas with <italic>NTRK</italic> fusions have been previously reported to possess co-occurring genetic alterations such as <italic>IDH</italic> (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B31">31</xref>)<italic>, H3.3 K27M</italic> (<xref ref-type="bibr" rid="B11">11</xref>)<italic>, H3F3A</italic> (<xref ref-type="bibr" rid="B40">40</xref>)<italic>, EGFR</italic> amplification (<xref ref-type="bibr" rid="B13">13</xref>), <italic>EGFRvIII</italic> (<xref ref-type="bibr" rid="B13">13</xref>)<italic>, PTEN</italic> (<xref ref-type="bibr" rid="B13">13</xref>), <italic>CDKN2A/2B</italic> deletion (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B37">37</xref>), <italic>CDKN2C</italic> deletion (<xref ref-type="bibr" rid="B37">37</xref>), <italic>TP53</italic> mutations/inactivation (<xref ref-type="bibr" rid="B13">13</xref>), and <italic>ATRX</italic> (<xref ref-type="bibr" rid="B41">41</xref>), among others (<xref ref-type="bibr" rid="B13">13</xref>). A variety of <italic>NTRK</italic> fusion types (<italic>NTRK1</italic>, <italic>NTRK2</italic>, and <italic>NTRK3</italic>) have also been described in pediatric high-grade gliomas (<xref ref-type="bibr" rid="B11">11</xref>). Several downstream signaling pathways, including SHC-RAS-MAPK, PI3K-AKT, PLC&#x3b3;-PKC, or STAT3, are activated by the three wildtype TRK family members (<xref ref-type="bibr" rid="B42">42</xref>), suggesting that most NTRK fusions would use many of these downstream signaling cascades as full-length receptors. It has been demonstrated that the TRK oncogenes induce a transformation of NIH-3T3 fibroblasts and thyroid epithelial cells (<xref ref-type="bibr" rid="B43">43</xref>). Similarly, mammary epithelial cells was shown to be transformed using <italic>ETV6</italic> (<xref ref-type="bibr" rid="B5">5</xref>)<italic>::NTRK3</italic> (<xref ref-type="bibr" rid="B15">15</xref>) fusion (<xref ref-type="bibr" rid="B44">44</xref>). Experiments with <italic>ETV6</italic>::<italic>NTRK3</italic> fusion showed that the fusion protein signals mainly through RAS/MAPK but also activates PI3K/AKT/mTOR. Activation of both pathways might result in a potency oncogene to stimulate proliferation and inhibits apoptosis (<xref ref-type="bibr" rid="B45">45</xref>). Taken together, these data support that the <italic>ETV6</italic>::<italic>NTRK3</italic> fusion present in the oligodendroglioma (grade II) could be a driver to promote tumor growth <italic>in vivo</italic>, suggesting that <italic>NTRK</italic> inhibitors may be a valuable therapeutic option to delay or avoid the need for radiotherapy in this population.</p>
<p>The <italic>NTRK</italic> fusion has been previously targeted by different drugs among which the most used are the first-in class TRK-targeting inhibitors are Larotrectinib (selective TRK inhibitor) and entrectinib (pan-TRK, ROS1 and ALK inhibitor). In 2018, the United States Food and Drug Administration (FDA) approved larotrectinib, a highly specific inhibitor of all three TRK proteins, for adult and pediatric patients with solid tumors (<xref ref-type="bibr" rid="B46">46</xref>). Larotrectinib&#x2019;s approval was based on results from three multi-center clinical studies (a phase 1 trial (NCT02122913), SCOUT (NCT02637687), and NAVIGATE (NCT02576431)) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B47">47</xref>). According to a clinical trial involving solid tumors positive for NTRK fusion, Larotrectinib showed an overall response rate of 79.1%, with a median duration of response lasting 35.2 months, and a progression-free survival of 28.2 months (<xref ref-type="bibr" rid="B48">48</xref>). In 2019, entrectinib, a multi-kinase inhibitor targeting TRK proteins, c-ROS oncogene 1 (ROS1), and anaplastic lymphoma kinase (ALK) was approved by the FDA for adult and pediatric patients (&gt;12 years) with the same indication as larotrectinib (<xref ref-type="bibr" rid="B49">49</xref>). Entrectinib&#x2019;s approval was based on results of the multi-center trials; ALKA-372-001, STARTRK-1, and STARTRK-2 (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). These trials revealed a response rate of 57% in patients with TRK fusion-positive solid tumors across 10 different tumor types (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>). The use of inhibitors targeting TRK is associated with high response rates regardless of tumor histology and patient age (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>Several studies demonstrate the activity of Larotrectinib in TRK fusion-positive primary CNS tumors regardless of histology, which confirms its capacity for blood-brain barrier penetrance as reported previously by the response observed in metastases of extra-cranial tumors to CNS (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B53">53</xref>). Larotrectinib demonstrated rapid and durable responses in TRK fusion-positive primary CNS tumors, and responses were seen in patients with low- and high-grade gliomas as well as non-gliomas (<xref ref-type="bibr" rid="B54">54</xref>). The intracranial efficacy of Larotrectinib has been demonstrated in TRK fusion-positive tumors that have metastasized to the brain (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B53">53</xref>). These results further support expanded testing for actionable therapeutic targets, including NTRK gene fusions, in patients with primary adult and pediatric CNS tumors and BM.</p>
<p>Members of the receptor tyrosine kinase gene family including <italic>EGFR</italic>, <italic>MET</italic>, <italic>PDGFRA</italic>, and <italic>FGFR3</italic> have been known to be heavily involved in the initiation and progression of glioblastoma (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>). In the present study, we also identified the presence of <italic>FGFR3 </italic>(<xref ref-type="bibr" rid="B17">17</xref>)::<italic>TACC3</italic> (<xref ref-type="bibr" rid="B11">11</xref>) fusion in breast carcinomas BM. The constitutively active signal of FGFR3 also transduces via the RAS/MAPK pathway (<xref ref-type="bibr" rid="B57">57</xref>). Previously, Singh et&#xa0;al. reported three fusions of <italic>FGFR</italic>::<italic>TACC</italic> in 97 glioblastoma examined (<xref ref-type="bibr" rid="B20">20</xref>). They demonstrated that the fusion protein has oncogenic activity when introduced into astrocytes and treatment with FGFR inhibitor extends the survival of mice harboring intracranial <italic>FGFR</italic>::<italic>TACC</italic>-initiated glioma. Previously, Parker et&#xa0;al. reported that 4 out of 48 glioblastoma samples harbored the <italic>FGFR3</italic>::<italic>TACC3</italic> fusion and remarkably showed that the tumorigenic <italic>FGFR3</italic>::<italic>TACC3</italic> gene fusion escapes miR-99a regulation in glioblastoma due to the loss of the 3&#x2019;-UTR of <italic>FGFR3</italic> (<xref ref-type="bibr" rid="B57">57</xref>). FGFR3 is very lowly expressed in normal brain but is highly expressed in fusion positive glioblastoma that is likely due to the loss of microRNA regulation (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>). The 3&#x2019;-UTR of the <italic>FGFR3</italic> gene is negatively controlled by microRNAs in the normal brain. In the fusion gene, the region is lost and <italic>FGFR3</italic> can no longer be controlled by <italic>mir-99a</italic> (<xref ref-type="bibr" rid="B58">58</xref>). The <italic>FGFR3</italic>::<italic>TACC3</italic> fusion was detected in one out of 72 samples of glioblastoma in the Ivy Center cohort (<xref ref-type="bibr" rid="B60">60</xref>), and 2 of 161 samples in the TCGA cohort. <italic>FGFR</italic> genes fusions are also identified in other cancers, including bladder cancer, cholangiocarcinoma, squamous lung cancer, thyroid cancer, oral cancer, head and neck squamous cell carcinoma, and prostate cancer (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B61">61</xref>). Clinical trials with FGFR inhibitors in brain tumors are being conducted (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). The FGFR inhibitor ponatinib demonstrate an improved therapeutic activity of temozolomide on DIPG cells derived from patient in <italic>in vitro</italic> study (<xref ref-type="bibr" rid="B62">62</xref>).</p>
<p>The <italic>EGFR</italic> gene is frequently amplified and rearranged in malignant gliomas with an expression of oncogenic deletion mutants (<xref ref-type="bibr" rid="B56">56</xref>). In this study, we found four glioblastoma harboring <italic>EGFR</italic> exons 2-7 skipping, also known as <italic>EGFRvIII</italic>, which is constitutively auto phosphorylated and inefficiently down regulated (<xref ref-type="bibr" rid="B63">63</xref>).</p>
<p>In this study, we also identified a METex14 skipping within the RNA in pancreas carcinomas BM resulting in an in-frame deletion of the juxta-membrane domain, which normally is a negative regulator of the kinase catalytic activities. Aberrant MET/HGF regulation is observed in a wide variety of human cancers with a dysregulated proliferative and invasive signaling program, epithelial-to-mesenchymal transition, cell motility/migration, angiogenesis, invasion, and metastasis. The <italic>MET</italic>ex14 mutations were identified in 221 positive cases (0.6%) out of 38,028 profiled tumors in the largest tumor genomic profiling cohort performed for MET alteration (<xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>This study showed also the presence of <italic>TMPRSS2</italic> (<xref ref-type="bibr" rid="B2">2</xref>)::<italic>ERG</italic> (<xref ref-type="bibr" rid="B4">4</xref>) fusions in prostate carcinomas BM, endometrium carcinomas BM, and oligodendroglioma (grade II), IDH-mutated and 1p19q co-deleted. Studies have shown that the androgen signaling pathway plays a role in facilitating the formation of the <italic>TMPRSS2</italic>::<italic>ERG</italic> gene fusion, which is present in approximately 50% of prostate carcinomas. This pathway induces proximity of the <italic>TMPRSS2</italic>::<italic>ERG</italic> genomic loci, which are then exposed to gamma irradiation, resulting in DNA double-strand breaks (<xref ref-type="bibr" rid="B65">65</xref>). Ongoing clinical trials are further evaluating the prognostic and predictive value of <italic>ERG</italic> fusions in prostate cancer patients at different stages of the disease or during treatment (e.g., trials evaluating the AR signaling inhibitors enzalutamide and apalutamide, PSMA theranostics, brachytherapy; see ClinicalTrials.gov for reference) and include the analysis of ERG fusion status both in primary and secondary outcome measures.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>Genomic rearrangements are the primary way fusions arise in gliomas. Although clinically relevant fusions are rare, RNA-Seq of low- and high-grade glioma samples is a crucial molecular biology technique to discover patient-specific fusions that could guide personalized treatment. <italic>FGFR1</italic>-3 fusions, like <italic>NTRK1-3</italic>, offer a therapeutic option for current and forthcoming FGFR inhibitors across various patient subgroups.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by COS (Comit&#xe9; d&#x2019;Orientation Scientifique) de la Direction Recherche et Enseignement Ramsay Sant&#xe9;. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>PM: Conceptualization, Funding acquisition, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CC: Writing &#x2013; review &amp; editing. EB: Formal analysis, Resources, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. NB: Methodology, Validation, Writing &#x2013; review &amp; editing. CV: Methodology, Writing &#x2013; review &amp; editing. EP: Software, Writing &#x2013; review &amp; editing. PT: Writing &#x2013; review &amp; editing. MA: Writing &#x2013; review &amp; editing. AM: Writing &#x2013; review &amp; editing. IN: Formal analysis, Methodology, Validation, Writing &#x2013; review &amp; editing. LO: Conceptualization, Funding acquisition, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by Groupement de coop&#xe9;ration Sanitaire (GCS) Ramsay Sant&#xe9; pour l&#x2019;Enseignement et la Recherche and by Bayer Health SAS, APHM, CNRS, AMU, and ARTC Sud.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank V. GAGNA for her secretarial assistance.</p>
</ack>
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors&#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>
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