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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Explor Med</journal-id>
<journal-id journal-id-type="publisher-id">EM</journal-id>
<journal-title-group>
<journal-title>Exploration of Medicine</journal-title>
</journal-title-group>
<issn pub-type="epub">2692-3106</issn>
<publisher>
<publisher-name>Open Exploration Publishing</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.37349/emed.2025.1001346</article-id>
<article-id pub-id-type="manuscript">1001346</article-id>
<article-categories>
<subj-group>
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Molecular diagnostics in clinical oncology: an overview</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4529-7891</contrib-id>
<name>
<surname>Imyanitov</surname>
<given-names>Evgeny</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing—original draft</role>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6304-1609</contrib-id>
<name>
<surname>Sokolenko</surname>
<given-names>Anna</given-names>
</name>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing—review &amp; editing</role>
<xref ref-type="aff" rid="I1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="I2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="editor">
<name>
<surname>Zaravinos</surname>
<given-names>Apostolos</given-names>
</name>
<role>Academic Editor</role>
<aff>European University Cyprus, Cyprus</aff>
</contrib>
</contrib-group>
<aff id="I1">
<sup>1</sup>Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 Saint-Petersburg, Russia</aff>
<aff id="I2">
<sup>2</sup>Department of Medical Genetics, Saint-Petersburg State Pediatric Medical University, 194100 Saint-Petersburg, Russia</aff>
<author-notes>
<corresp id="cor1">
<bold>
<sup>*</sup>Correspondence:</bold> Evgeny Imyanitov, Department of Tumor Growth Biology, N.N. Petrov Institute of Oncology, 197758 Saint-Petersburg, Russia. <email>evgeny@imyanitov.spb.ru</email></corresp>
</author-notes>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>17</day>
<month>07</month>
<year>2025</year>
</pub-date>
<volume>6</volume>
<elocation-id>1001346</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>07</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>© The Author(s) 2025.</copyright-statement>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This is an Open Access article licensed under a Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
</license>
</permissions>
<abstract>
<p id="absp-1">Molecular diagnostics has become an integral part of modern clinical oncology. There are several dozen hereditary cancer syndromes; the detection of germline pathogenic variants in tumor-predisposing genes allows for the identification of subjects at-risk as well as guides the administration of cytotoxic and targeted drugs. The development of predictive tests for personalized drug-target matching is the best-known achievement of molecular oncology. For the time being, these assays are routinely utilized for the management of lung, breast, ovarian, colorectal, thyroid, biliary tract, endometrial, urothelial, and other malignancies. We are currently witnessing the emergence of practical applications of liquid biopsy. The detection of circulating tumor DNA (ctDNA) is a highly sensitive and specific procedure, which is currently used for the detection of secondary drug-resistant mutations, and holds great promise for the monitoring of malignant disease in oncological patients and early cancer detection in healthy individuals. While the utilization of molecular tests is currently limited to particular categories of cancer patients, their use is likely to become significantly more widespread in the near future. This trend will affect educational standards, requiring practicing physicians to become more familiar with molecular biology, and, <italic>vice versa</italic>, claiming some fluency in clinical oncology from laboratory specialists.</p>
</abstract>
<kwd-group>
<kwd>Actionable mutation</kwd>
<kwd>molecular diagnostics</kwd>
<kwd>targeted therapy</kwd>
</kwd-group>
<funding-group>
<award-group id="award001">
<funding-source>
<institution-wrap>
<institution>Russian Science Foundation</institution>
<institution-id>10.13039/501100006769</institution-id>
</institution-wrap>
</funding-source>
<award-id>21-75-30015</award-id>
</award-group>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p id="p-1">Molecular diagnostics is a complex of technologies aimed at detection of alterations in individual genes and gene-encoded molecules (RNA, proteins) for clinical purposes. This field emerged several decades ago, starting from the identification of selected tumor-specific protein markers [<xref ref-type="bibr" rid="B1">1</xref>]. A breakthrough in molecular genetics, i.e., the development of polymerase chain reaction (PCR), conventional and, particularly, next-generation sequencing (NGS), ultrasensitive methods of DNA analysis, etc., as well as the completion of the Human Genome Project shifted the focus of molecular diagnostics towards the profiling of alterations in genes and their transcripts. Advances in molecular medicine have changed the daily practice of clinical oncologists. Timely identification of subjects with hereditary forms of cancer is a mandatory component of the examination of cancer patients. Many targeted therapies are tailored to particular genetic alterations in tumor cells; therefore, mutation-drug matching has become a part of clinical routine [<xref ref-type="bibr" rid="B2">2</xref>] (<xref ref-type="table" rid="t1">Table 1</xref>). We are now witnessing significant progress in liquid biopsy, i.e., DNA-based non-invasive monitoring of the course of cancer disease [<xref ref-type="bibr" rid="B3">3</xref>]. This article provides an overview of the applications of molecular diagnostics in various areas of clinical oncology.</p>
<table-wrap id="t1">
<label>Table 1</label>
<caption>
<p id="t1-p-1">
<bold>Druggable genetic alterations in different tumor types</bold>
</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Target</bold>
</th>
<th>
<bold>Frequency of actionable mutations</bold>
</th>
<th>
<bold>Examples of targeted drugs</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td colspan="3">
<bold>Lung cancer</bold>
</td>
</tr>
<tr>
<td>
<italic>EGFR</italic> ex19del, L858R</td>
<td>10–20% in Europeans; 40–70% in Asians; more common in females and non-smokers</td>
<td>EGFR inhibitors (erlotinib, gefitinib, afatinib, osimertinib, etc.)</td>
</tr>
<tr>
<td>
<italic>ALK</italic> fusions</td>
<td>5%; more common in young patients, females, and non-smokers</td>
<td>ALK inhibitors (crizotinib, alectinib, lorlatinib, etc.)</td>
</tr>
<tr>
<td>
<italic>RET</italic> fusions</td>
<td>4%; more common in young patients, females, and non-smokers</td>
<td>RET inhibitors (selpercatinib, pralsetinib)</td>
</tr>
<tr>
<td>
<italic>ROS1</italic> fusions</td>
<td>1.5–2%; more common in young patients, females, and non-smokers</td>
<td>ROS1 inhibitors (crizotinib, entrectinib, repotrectinib)</td>
</tr>
<tr>
<td>
<italic>NTRK1-3</italic> fusions</td>
<td>0.2%; more common in young patients, females, and non-smokers</td>
<td>NTRK inhibitors (entrectinib, larotrectinib)</td>
</tr>
<tr>
<td>
<italic>HER2</italic> amplification</td>
<td>1%</td>
<td>HER2 inhibitors (trastuzumab, pertuzumab)</td>
</tr>
<tr>
<td>
<italic>HER2</italic> exon 20 insertions</td>
<td>2–3%</td>
<td>HER2 inhibitors (trastuzumab deruxtecan, pyrotinib)</td>
</tr>
<tr>
<td>
<italic>MET</italic> exon 14 skipping</td>
<td>2.5%; more common in elderly patients</td>
<td>MET inhibitors (capmatinib, tepotinib, crizotinib)</td>
</tr>
<tr>
<td>
<italic>BRAF</italic> V600E, V600K, and other V600 mutations</td>
<td>2%</td>
<td>BRAF inhibitors (vemurafenib, dabrafenib, encorafenib) in combination with MEK inhibitors</td>
</tr>
<tr>
<td>
<italic>KRAS</italic> G12C</td>
<td>10%; significantly more common in smokers</td>
<td>KRAS<sup>G12C</sup> inhibitors (sotorasib, adagrasib)</td>
</tr>
<tr>
<td colspan="3">
<bold>Breast cancer</bold>
</td>
</tr>
<tr>
<td>
<italic>BRCA1/2</italic> mutation</td>
<td>7–10%; more common in patients with clinical signs of hereditary disease</td>
<td>Platinum compounds, PARP inhibitors (olaparib, talazoparib, niraparib, rucaparib)</td>
</tr>
<tr>
<td>
<italic>PTEN</italic> mutation</td>
<td>5%</td>
<td>AKT inhibitor (capivasertib)</td>
</tr>
<tr>
<td>
<italic>PIK3CA</italic> mutation</td>
<td>40%</td>
<td>AKT inhibitor (capivasertib), PI3K inhibitor (alpelisib)</td>
</tr>
<tr>
<td>
<italic>AKT1</italic> mutation</td>
<td>4%</td>
<td>AKT inhibitor (capivasertib)</td>
</tr>
<tr>
<td colspan="3">
<bold>Ovarian cancer</bold>
</td>
</tr>
<tr>
<td>
<italic>BRCA1/2</italic> mutation</td>
<td>25–40%</td>
<td>Platinum compounds, mitomycin C, PARP inhibitors (olaparib, talazoparib, niraparib, rucaparib)</td>
</tr>
<tr>
<td colspan="3">
<bold>Colorectal cancer</bold>
</td>
</tr>
<tr>
<td>
<italic>BRAF</italic> V600E</td>
<td>4–8%</td>
<td>BRAF inhibitor (encorafenib) plus EGFR inhibitor (cetuximab)</td>
</tr>
<tr>
<td>
<italic>POLE</italic> mutation</td>
<td>&lt; 1%</td>
<td>Immune checkpoint inhibitors (pembrolizumab, nivolumab, etc.)</td>
</tr>
<tr>
<td>
<italic>HER2</italic> amplification</td>
<td>1–2%</td>
<td>HER2 inhibitors (trastuzumab, pertuzumab, lapatinib, etc.)</td>
</tr>
<tr>
<td colspan="3">
<bold>Pancreatic cancer</bold>
</td>
</tr>
<tr>
<td>
<italic>BRCA2</italic> mutation</td>
<td>2%</td>
<td>PARP inhibitors (olaparib, talazoparib, niraparib, rucaparib)</td>
</tr>
<tr>
<td>
<italic>PALB2</italic> mutation</td>
<td>0.5%</td>
<td>PARP inhibitors (olaparib, talazoparib, niraparib, rucaparib)</td>
</tr>
<tr>
<td>
<italic>KRAS</italic> G12C</td>
<td>2%</td>
<td>KRAS<sup>G12C</sup> inhibitors (sotorasib, adagrasib)</td>
</tr>
<tr>
<td colspan="3">
<bold>Biliary tract tumors</bold>
</td>
</tr>
<tr>
<td>
<italic>FGFR2</italic> fusion or activating mutation</td>
<td>20%</td>
<td>FGFR inhibitors (futibatinib, pemigatinib, infigratinib)</td>
</tr>
<tr>
<td>
<italic>HER2</italic> amplification or mutation</td>
<td>4%</td>
<td>HER2 inhibitors (trastuzumab, pertuzumab, trastuzumab deruxtecan, pyrotinib)</td>
</tr>
<tr>
<td>
<italic>BRAF</italic> V600E</td>
<td>2%</td>
<td>BRAF inhibitors (vemurafenib, dabrafenib, encorafenib) in combination with MEK inhibitors</td>
</tr>
<tr>
<td colspan="3">
<bold>Melanoma</bold>
</td>
</tr>
<tr>
<td>
<italic>BRAF</italic> V600E</td>
<td>60%</td>
<td>BRAF inhibitors (vemurafenib, dabrafenib, encorafenib) in combination with MEK inhibitors</td>
</tr>
<tr>
<td>
<italic>KIT</italic> mutation</td>
<td>15% in acral and mucosal melanomas</td>
<td>KIT inhibitors (imatinib, nilotinib, dasatinib)</td>
</tr>
<tr>
<td colspan="3">
<bold>Thyroid cancer</bold>
</td>
</tr>
<tr>
<td>
<italic>RET</italic> activating mutation</td>
<td>10–25% of medullary carcinomas</td>
<td>RET inhibitors (selpercatinib, pralsetinib)</td>
</tr>
<tr>
<td>
<italic>BRAF</italic> V600E</td>
<td>Up to 50% of papillary carcinomas</td>
<td>BRAF inhibitors (vemurafenib, dabrafenib, encorafenib) in combination with MEK inhibitors</td>
</tr>
<tr>
<td>
<italic>RET</italic> fusion</td>
<td>10% of papillary carcinomas</td>
<td>RET inhibitors (selpercatinib, pralsetinib)</td>
</tr>
<tr>
<td colspan="3">
<bold>Endometrial cancer</bold>
</td>
</tr>
<tr>
<td>
<italic>POLE</italic> mutation</td>
<td>8%</td>
<td>Immune checkpoint inhibitors (pembrolizumab, nivolumab, etc.)</td>
</tr>
<tr>
<td>
<italic>HER2</italic> amplification</td>
<td>10%</td>
<td>HER2 inhibitors (trastuzumab, pertuzumab)</td>
</tr>
<tr>
<td colspan="3">
<bold>Urothelial cancer</bold>
</td>
</tr>
<tr>
<td>
<italic>FGFR3</italic> activating mutation</td>
<td>15–20%</td>
<td>FGFR inhibitors (erdafitinib, futibatinib, pemigatinib, infigratinib)</td>
</tr>
<tr>
<td>
<italic>HER2</italic> amplification or mutation</td>
<td>20–30%</td>
<td>HER2 inhibitors (trastuzumab, pertuzumab, trastuzumab deruxtecan, pyrotinib)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2">
<title>Molecular tests for particular tumor types</title>
<sec id="t2-1">
<title>Lung cancer</title>
<p id="p-2">Molecular analysis of lung cancer is currently limited to non-squamous non-small cell lung carcinomas, while there are virtually no advances in DNA-assisted guidance of the treatment of squamous and small-cell lung malignancies. Histological diagnosis of lung cancer is often complicated; therefore, it is recommended to test patients with high probability of actionable genetic findings, i.e., women and non-smokers, irrespective of tumor histology [<xref ref-type="bibr" rid="B4">4</xref>–<xref ref-type="bibr" rid="B6">6</xref>].</p>
<p id="p-3">
<italic>EGFR</italic> gene mutations are the most common druggable alterations in lung adenocarcinomas. They account for approximately 10–20% of patients of European race and 40–70% of subjects of Asian ancestry. Although these manifold differences in racial distribution of <italic>EGFR</italic> mutations were acknowledged immediately after their discovery, the causes of this phenomenon remain unknown. <italic>EGFR</italic> mutations are significantly more common in females and non-smokers [<xref ref-type="bibr" rid="B7">7</xref>]. <italic>EGFR</italic> exon 19 deletions (ex19del) are associated with higher tumor sensitivity to EGFR tyrosine kinase inhibitors (TKIs) and demonstrate similar frequencies in patients of various ages. <italic>EGFR</italic> L858R mutations are particularly common in elderly subjects [<xref ref-type="bibr" rid="B8">8</xref>].</p>
<p id="p-4">Approximately 20% of <italic>EGFR</italic> genetic events are defined in scientific literature as “rare” or “uncommon” mutations, i.e., they are represented by other than ex19del or L858R alterations [<xref ref-type="bibr" rid="B9">9</xref>]. The majority of these uncommon lesions are druggable by conventional inhibitors, with the exception of <italic>EGFR</italic> exon 20 insertions which require a distinct category of drugs [<xref ref-type="bibr" rid="B9">9</xref>–<xref ref-type="bibr" rid="B11">11</xref>]. Early <italic>EGFR</italic> PCR kits focused mainly on the detection of hotspot ex19del and L858R mutations, while current standards of <italic>EGFR</italic> testing call for comprehensive analysis of exons 18–21.</p>
<p id="p-5">The cumulative frequency of tyrosine kinase gene rearrangements is around 10%, being 5% for <italic>ALK</italic>, 4% for <italic>RET</italic>, 1.5–2% for <italic>ROS1</italic>, and around 0.2% for the <italic>NTRK</italic> receptor family (<italic>NTRK1</italic>, <italic>NTRK2</italic>, and <italic>NTRK3</italic>). These fusions are strongly associated with young patient age, female gender, and non-smoking status. Reliable and time-efficient detection of gene fusions still presents a challenge, despite significant advances in techniques for molecular analysis. RNA hybridization-based NGS is the most proficient technology in this respect; however, its routine utilization remains limited due to extraordinary complexity, high costs, and significant turn-around time. Amplicon-based RNA and DNA NGS are more accessible, but these techniques have a risk of missing some translocations. Immunohistochemistry (IHC) analysis is widely used for <italic>ALK</italic> testing, and, to a lesser extent, for <italic>ROS1</italic> and pan-<italic>NTRK</italic> screening, despite having significant drawbacks with regard to specificity and sensitivity. There are several elegant techniques for rapid and cost-efficient detection of <italic>ALK</italic>, <italic>ROS1</italic>, <italic>RET</italic>, and <italic>NTRK1-3</italic> gene fusions that address the disadvantages described above, but their use is restricted to facilities that have managed to achieve scrupulous in-house adjustment and validation of these laboratory-developed protocols [<xref ref-type="bibr" rid="B6">6</xref>].</p>
<p id="p-6">The medical significance of error-free <italic>ALK</italic>, <italic>ROS1</italic>, <italic>RET</italic>, and <italic>NTRK1-3</italic> testing is perhaps the highest among all known predictive markers. For example, earlier studies suggested that patients with metastatic ALK-driven lung cancer may gain up to 7 years in their life expectancy upon targeted therapy, and these estimates are likely to exceed 10 years with more modern drugs [<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>]. In addition to the above genes, <italic>NRG1</italic> rearrangements appear to be more or less actionable; however, their testing has not been yet incorporated in minimal diagnostic standards due to the low occurrence of these fusions (around 0.2%) and moderate survival benefit from matched therapies [<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>].</p>
<p id="p-7">Activating <italic>MET</italic> mutations result in exon 14 skipping, thus significantly increasing the half-life of this tyrosine kinase. Their occurrence reaches approximately 2.5%. These events are confined to elderly patients, with almost all mutation-positive subjects being well above 70 years old [<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>]. Surprisingly, IHC cannot be used for preliminary screening of these mutations. Exon 14 skipping <italic>MET</italic> alterations can be detected either by RNA-based NGS or specifically adjusted PCR allele-specific expression tests [<xref ref-type="bibr" rid="B18">18</xref>]. <italic>MET</italic> amplification coupled with gene overexpression is also associated with potential tumor sensitivity to MET inhibitors, although this variety of molecular testing and clinical attitudes towards <italic>MET</italic>-amplified tumors have not been standardized yet [<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>].</p>
<p id="p-8">BRAF activation occurs in approximately 4% of lung carcinomas. Only substitutions affecting codon 600 are druggable; they are observed in less than 2% of tumors. <italic>BRAF</italic> V600-mutated malignancies are treated with a combination of BRAF and MEK inhibitors [<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B21">21</xref>]. Other <italic>BRAF</italic> alterations are represented by exon 11 mutations, non-codon-600 substitutions located in exon 15, and gene rearrangements. None of the latter events are clearly actionable [<xref ref-type="bibr" rid="B22">22</xref>].</p>
<p id="p-9">
<italic>HER2</italic> amplification accompanied by gene overexpression plays a driving role in approximately 1% of lung carcinomas. These tumors can be managed by various anti-HER2 therapeutic agents [<xref ref-type="bibr" rid="B23">23</xref>–<xref ref-type="bibr" rid="B25">25</xref>]. Some lung malignancies produce excessive amounts of this receptor tyrosine kinase without being HER2-dependent. The analysis of other mutated genes in MAPK pathway, particularly <italic>RAS</italic> mutations, may help to discriminate between driver and passenger <italic>HER2</italic> amplifications [<xref ref-type="bibr" rid="B25">25</xref>]. Activating <italic>HER2</italic> mutations, mainly exon 20 insertions, occur in approximately 2–3% of lung carcinomas. These tumors can be targeted by novel low-weight TKIs or HER2 antibody-drug conjugates [<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>].</p>
<p id="p-10">
<italic>KRAS</italic> mutations are seen in 30% of lung carcinomas. <italic>KRAS</italic> G12C substitution is amenable to therapy by sotorasib or adagrasib [<xref ref-type="bibr" rid="B28">28</xref>]. While actionable alterations affecting <italic>EGFR</italic>, <italic>BRAF</italic>, <italic>MET</italic>, <italic>HER2</italic>, <italic>ALK</italic>, <italic>RET</italic>, <italic>ROS1</italic>, and <italic>NTRK1-3</italic> oncogenes are strongly associated with the lack of smoking history, <italic>KRAS</italic> G12C substitutions occur almost exclusively in smokers, with the frequency about 1 out of 6–7 tobacco-related cancers [<xref ref-type="bibr" rid="B29">29</xref>]. <italic>KRAS</italic> G12C also serves as a marker of lung cancer sensitivity to immune therapy, because smoking-induced lung malignancies have a high tumor mutation burden (TMB) [<xref ref-type="bibr" rid="B30">30</xref>]. Non-G12C <italic>KRAS</italic> mutations are not necessarily associated with smoking history and cannot be targeted by currently approved drugs.</p>
<p id="p-11">
<italic>EGFR</italic>, <italic>BRAF</italic>, <italic>MET</italic>, <italic>HER2</italic>, <italic>ALK</italic>, <italic>RET</italic>, <italic>ROS1</italic>, and <italic>NTRK1-3</italic> targeted drugs render the best overall survival when applied in the first line [<xref ref-type="bibr" rid="B31">31</xref>]. Current laboratory facilities rarely provide comprehensive genetic profiling of lung carcinomas within an acceptable time frame, which is around two weeks or fewer. Consequently, many patients carrying druggable mutations start their therapy with non-specific interventions. Significant shortening of the turn-around time for the comprehensive analysis of actionable mutations is a primary need for lung cancer management [<xref ref-type="bibr" rid="B6">6</xref>].</p>
<p id="p-12">Germline genetic testing is rarely applied to lung cancer patients, although the substantial incidence of these tumors in young non-smoking subjects remains an enigma. There are a few dozen subjects across the world, mainly of North American ancestry, who developed this disease due to inheritance of the <italic>EGFR</italic> T790M mutation [<xref ref-type="bibr" rid="B32">32</xref>]. In the practical sense, oncologists have to be aware of Li-Fraumeni syndrome, i.e., <italic>TP53</italic> pathogenic variants, as a likely cause of young-onset lung cancer. Li-Fraumeni syndrome includes predisposition to early-onset breast, soft-tissue, brain, and hematological malignancies, so the combination of lung cancer with these tumors within a given patient or family calls for germline genetic testing. Of particular note, Li-Fraumeni related lung cancers almost always carry somatic <italic>EGFR</italic> mutations [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>].</p>
</sec>
<sec id="t2-2">
<title>Breast cancer</title>
<p id="p-13">While molecular testing for lung cancer is focused mainly on the analysis of somatic mutations, germline DNA sequencing forms the backbone for genetic examination of breast cancer patients. Women with clinical features of hereditary cancer predisposition, e.g., younger than 50–55 years, or having family history of breast or ovarian cancer, or with triple-negative receptor phenotype, or with bilateral appearance of breast cancer disease, have to undergo testing for germline pathogenic variants in <italic>BRCA1</italic> and <italic>BRCA2</italic> genes. Historically, <italic>BRCA1/2</italic> analysis was viewed as a purely cancer predisposition test aimed to estimate the risk of the development of the second tumor as well as to reveal mutation carriers among family members. The discovery of the vulnerability of <italic>BRCA1/2</italic>-driven tumors to DNA double-strand break-inducing agents, such as platinum compounds and PARP inhibitors, shifted the focus towards predictive value of <italic>BRCA1/2</italic> testing [<xref ref-type="bibr" rid="B35">35</xref>–<xref ref-type="bibr" rid="B37">37</xref>].</p>
<p id="p-14">Several issues regarding germline DNA analysis in breast cancer patients remain disputable. The increasing availability of NGS calls into question current attitudes towards the selection of breast cancer patients based on clinical criteria for hereditary syndromes. Some experts suggest universal <italic>BRCA1/2</italic> testing for all consecutive patients with breast cancer [<xref ref-type="bibr" rid="B38">38</xref>–<xref ref-type="bibr" rid="B40">40</xref>]. It is beyond doubt that this practice will eventually take place, although some essential nuances, e.g., clinical decisions with regard to chance finding of germline <italic>BRCA1/2</italic> pathogenic variants in family history-negative elderly women, have been neither discussed nor properly investigated.</p>
<p id="p-15">The technical drawbacks of existing technologies for NGS analysis are rarely acknowledged in medical literature. For example, many NGS services cannot reliably detect so-called large gene rearrangements (LGRs), i.e., gross deletions or duplications involving one or several exons of <italic>BRCA1/2</italic> genes [<xref ref-type="bibr" rid="B41">41</xref>]. Importantly, patients with <italic>BRCA1/2</italic> LGRs are the best responders to PARP inhibitors, so this is a significant deficiency in that current DNA testing practices are likely to miss women with the most prolonged benefit from targeted therapy [<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>].</p>
<p id="p-16">The extension of NGS panels beyond <italic>BRCA1/2</italic> is a particularly difficult topic. <italic>CHEK2</italic> and <italic>ATM</italic> genes are the most common and established contributors to breast cancer predisposition after <italic>BRCA1/2</italic>; however, the clinical significance of the testing of these genes is unclear because they appear to be associated with only a two-fold increase of the risk of malignant disease [<xref ref-type="bibr" rid="B44">44</xref>–<xref ref-type="bibr" rid="B46">46</xref>]. Furthermore, <italic>ATM</italic>- and <italic>CHEK2</italic>-associated tumors apparently do not have a therapeutic window for PARP inhibitors [<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>]. Similar concerns are applicable towards <italic>BLM</italic> and <italic>NBS1</italic> gene testing [<xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B50">50</xref>].</p>
<p id="p-17">A recent study provided novel insights into the testing of moderately penetrant breast cancer predisposing genes. Many genes associated with hereditary cancer syndromes render a relatively insignificant increase in cancer risk in heterozygous mutation carriers but are associated with fatal medical conditions in subjects with biallelic gene abnormalities. The inclusion of <italic>BLM</italic> in the breast cancer NGS diagnostic panel led to the identification of a woman with Bloom syndrome, who remained surprisingly healthy until she developed a malignancy. These chance findings may have profound impact both for the well-being of particular patients and for medical research. Indeed, compensatory mechanisms in subjects with otherwise fatal mutations deserve detailed investigations, as they may suggest novel treatments for life-threatening conditions [<xref ref-type="bibr" rid="B51">51</xref>].</p>
<p id="p-18">The analysis of <italic>TP53</italic> germline mutations may reveal subjects with Li-Fraumeni syndrome, thus calling for genetic analysis of family members; it is particularly relevant to women with young-onset breast cancer [<xref ref-type="bibr" rid="B52">52</xref>]. Tumors arising in these patients have a high frequency of <italic>HER2</italic> gene amplification and overexpression [<xref ref-type="bibr" rid="B53">53</xref>]. Li-Fraumeni syndrome is a severe condition, so many carriers of the <italic>TP53</italic> mutation cannot transmit this defect to children due to limited life span or decreased chances to find a spouse. At the same time, a significant portion of subjects with this disease have de novo alteration in the <italic>TP53</italic> gene, so they do not have a family history of cancer disease [<xref ref-type="bibr" rid="B54">54</xref>].</p>
<p id="p-19">
<italic>PTEN</italic> mutations are associated with Cowden syndrome [<xref ref-type="bibr" rid="B55">55</xref>]. It is of interest that clinical activity of the AKT inhibitor, capivasertib, has already been demonstrated for breast patients with somatic <italic>PTEN</italic> mutations, therefore, this drug deserves studies in subjects with hereditary <italic>PTEN</italic>-related tumors [<xref ref-type="bibr" rid="B56">56</xref>].</p>
<p id="p-20">Several “<italic>BRCA1/2</italic>-like” genes, i.e., members of DNA repair by homologous recombination pathway, have been incorporated in breast cancer genetic testing relatively recently. Perhaps only <italic>PALB2</italic> may be regarded as a true equivalent of <italic>BRCA</italic> genes [<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B57">57</xref>]. Some <italic>RAD</italic> и <italic>FANC</italic> family members, e.g., <italic>RAD51C</italic> and <italic>RAD51D</italic>, demonstrated more or less consistent association with breast cancer, although neither the degree of the increase in cancer risk nor the somatic status of the remaining allele of the involved gene, and consequently, tumor sensitivity to PARP inhibitors, have been investigated in sufficient detail [<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>]. Similar limitations apply to <italic>BRIP1</italic> and <italic>BARD1</italic> genes [<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B59">59</xref>]. The impact of other genes from <italic>RAD</italic> и <italic>FANC</italic> families is even less studied. Overall, it is important to continue the analysis of rapidly growing data sets in order to clean diagnostic NGS gene lists from irrelevant genes while encouraging sequencing of novel breast cancer predisposing loci.</p>
<p id="p-21">Somatic analysis of breast tumors is limited to the testing of only a few genes in metastatic hormone receptor-positive HER2-negative carcinomas. Some of these tumors are intrinsically resistant to endocrine therapy due to activation of PI3K/PTEN/AKT pathway. Patients with <italic>PIK3CA</italic> mutations may benefit from the addition of PI3K inhibitors to fulvestrant [<xref ref-type="bibr" rid="B60">60</xref>]. Capivasertib has somewhat larger indications, as it also demonstrated activity in women with somatic mutations affecting <italic>PTEN</italic> or <italic>AKT</italic> [<xref ref-type="bibr" rid="B61">61</xref>]. Importantly, a breast cancer study involving comprehensive genetic profiling, i.e., exhaustive analysis of all potential drug targets, demonstrated no benefit from extended testing for somatic mutations [<xref ref-type="bibr" rid="B62">62</xref>].</p>
</sec>
<sec id="t2-3">
<title>Ovarian cancer</title>
<p id="p-22">Ovarian cancer, being a common disease, has an unusually high proportion of patients who developed this disease due to germline genetic defects. As many as 25–40% of women with high-grade serous carcinoma of the ovary carry pathogenic alleles in <italic>BRCA1</italic> or <italic>BRCA2</italic> genes [<xref ref-type="bibr" rid="B63">63</xref>, <xref ref-type="bibr" rid="B64">64</xref>]. Unlike for breast cancer, the selection of patients based on clinical criteria, such as young onset or family history, is discouraged; hence, all consecutive patients with high-grade ovarian cancer disease need to be tested for germline <italic>BRCA1/2</italic> mutations [<xref ref-type="bibr" rid="B65">65</xref>]. The addition of new genes to this list is even more questionable than for breast cancer. Given that current NGS panels tend to pool together all cancer-predisposing genes in the same test, not a mere DNA analysis but the medical interpretation of the obtained data is likely to possess some problem in the future.</p>
<p id="p-23">Approximately 30% of high-grade serous ovarian carcinomas do not have apparent alterations in <italic>BRCA1/2</italic> or similar genes but resemble <italic>BRCA1/2</italic>-driven tumors by genomic architecture as well as by sensitivity to PARP inhibitors and platinum compounds. This feature was historically defined as BRCAness, although in the current literature the term “homologous recombination deficiency” (HRD) is more common. HRD testing is utilized for the selection of patients for the treatment by PARP inhibitors. HRD analysis is a highly complex, expensive, and time-consuming test that involves NGS-based genome scanning followed by the bioinformatics analysis of the integrity of chromosomal arms [<xref ref-type="bibr" rid="B66">66</xref>].</p>
</sec>
<sec id="t2-4">
<title>Colorectal cancer</title>
<p id="p-24">Molecular testing for colorectal cancer is no less complex than that for lung cancer, although it is often mistakenly perceived by oncologists as a relatively straightforward pipeline. The utmost challenge lies in the comprehensive detection of mutations in <italic>KRAS</italic> and <italic>NRAS</italic> genes. These substitutions occur at frequencies of approximately 50% and 5%, respectively, with surprisingly little impact of ethnic or geographic variations [<xref ref-type="bibr" rid="B67">67</xref>]. <italic>RAS</italic> testing guides the choice between anti-EGFR antibodies and bevacizumab when considering the addition to chemotherapy backbone. While patients with wild-type <italic>KRAS</italic> and <italic>NRAS</italic> derive significant benefit from cetuximab or panitumumab, erroneous administration of these drugs to subjects with mutations, which were missed by laboratory tests, is associated with the risk of stimulation of tumor growth [<xref ref-type="bibr" rid="B68">68</xref>].</p>
<p id="p-25">Initial clinical trials on anti-EGFR antibodies relied on PCR testing for a limited repertoire of <italic>RAS</italic> hotspot mutations [<xref ref-type="bibr" rid="B69">69</xref>]. Subsequent studies utilized Sanger sequencing, which may be prone to false-negative results when the proportion of the tumor cells in the sample is low [<xref ref-type="bibr" rid="B68">68</xref>]. This disadvantage can be overcome by NGS testing or by the use of relatively sophisticated laboratory procedures combining allele-specific PCR, high-resolution melting (HRM) analysis, pyrosequencing, etc. [<xref ref-type="bibr" rid="B67">67</xref>]. Importantly, unlike for lung cancer, molecular analysis of colorectal tumors is not a particularly time-sensitive procedure. Clinical studies demonstrate that the choice between anti-EGFR antibodies and bevacizumab can be safely postponed until the second cycle of chemotherapy; therefore, one month is an acceptable turn-around time for <italic>RAS</italic> testing [<xref ref-type="bibr" rid="B70">70</xref>].</p>
<p id="p-26">The analysis of <italic>BRAF</italic> codon 600 mutations is not complicated. <italic>BRAF</italic> V600E substitutions occur in 4–8% of colorectal carcinomas and are associated with significantly worsened disease outcomes [<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B71">71</xref>]. BRAF inhibition alone or in combination with MEK downregulation is not effective due to collateral activation of EGFR-driven signaling cascade. The efficacy of combined administration of BRAF-targeted drugs and anti-EGFR therapeutic antibodies has been demonstrated in several clinical trials involving different agents; however, formal approval for colorectal cancer treatment has been granted only to encorafenib and cetuximab [<xref ref-type="bibr" rid="B72">72</xref>].</p>
<p id="p-27">Microsatellite instability (MSI), i.e., accumulation of multiple alterations in tandem nucleotide repeats, reflects the deficient mismatch repair (dMMR). This mechanism of tumor development is relevant to approximately 5–10% of colorectal carcinomas. Two distinct routes underlie the emergence of MSI. Some colorectal cancer patients have developed their disease due to heterozygous germline defects in one of the dMMR genes (<italic>MLH1</italic>, <italic>MSH2</italic>, <italic>MSH6</italic>, <italic>PMS2</italic>, or <italic>EPCAM</italic>). This condition is called Lynch syndrome (hereditary non-polyposis colorectal cancer); the majority of patients belonging to this category are aged below 50 years and/or have family history of colorectal or endometrial cancer. In addition to young-onset patients, MSI is characteristic of elderly subjects. Indeed, colorectal carcinomas arising in patients aged above 70–80 years frequently have somatic inactivation of the <italic>MLH1</italic> gene due to methylation of its promoter.</p>
<p id="p-28">MSI tumors have an excessive number of mutations and, consequently, are highly immunogenic, have relatively low relapse rates after surgery, and can be efficiently managed by therapeutic inhibitors of immune checkpoints. The incidence of MSI demonstrates pronounced interstudy variations, depending on the proportion of localized and metastatic tumors, population-specific contribution of Lynch syndrome in cancer incidence, prevalence of elderly people among analyzed patients, and, possibly, technical nuances of MSI detection [<xref ref-type="bibr" rid="B73">73</xref>]. MSI is often combined with activating events in MAPK pathway genes, particularly <italic>KRAS</italic>, <italic>NRAS</italic>, and <italic>BRAF</italic> mutations. Up to a third of <italic>KRAS/NRAS/BRAF</italic> mutation-negative tumors carry druggable rearrangements in receptor tyrosine kinases [<xref ref-type="bibr" rid="B74">74</xref>].</p>
<p id="p-29">
<italic>POLE</italic> mutation testing has been introduced into clinical practice relatively recently. <italic>POLE</italic> encodes for DNA polymerase, so the tumors with altered <italic>POLE</italic> accumulate an excessive number of mutations. Clinical significance of <italic>POLE</italic> mutations is essentially similar to that for MSI-H, as they are associated with high tumor responsiveness to immune therapy and may indicate the presence of hereditary cancer syndrome [<xref ref-type="bibr" rid="B75">75</xref>].</p>
<p id="p-30">
<italic>HER2</italic> amplification followed by gene overexpression is detected in approximately 1–2% of colorectal cancers. It is essential for treatment decisions to ensure that HER2 activation plays a driver but not a passenger role in a given tumor, i.e., at least to exclude the presence of <italic>KRAS</italic> mutations [<xref ref-type="bibr" rid="B25">25</xref>]. <italic>HER2</italic>-positive <italic>KRAS</italic>-negative tumors can be efficiently managed by a number of HER2-targeted drugs [<xref ref-type="bibr" rid="B76">76</xref>, <xref ref-type="bibr" rid="B77">77</xref>].</p>
</sec>
<sec id="t2-5">
<title>Pancreatic cancer</title>
<p id="p-31">
<italic>KRAS</italic> mutations are detected in approximately 80–90% of pancreatic carcinomas [<xref ref-type="bibr" rid="B78">78</xref>]. The majority of them are currently not druggable, although <italic>KRAS</italic> G12C substitution, which is rare in pancreatic malignancies, can be managed by sotarasib or adagrasib [<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B80">80</xref>]. <italic>KRAS</italic> mutation-negative tumors often carry genetic alterations associated with sensitivity to available drugs, particularly <italic>BRAF</italic> V600E substitutions and rearrangements involving receptor tyrosine kinases (<italic>NTRK1-3</italic>, <italic>ALK</italic>, etc.). Approximately 1–2% of pancreatic tumors are microsatellite-unstable [<xref ref-type="bibr" rid="B81">81</xref>].</p>
<p id="p-32">The contribution of germline pathogenic variants is a controversial topic. It is beyond doubt that heterozygous inactivating variants in <italic>BRCA2</italic>, and possibly <italic>PALB2</italic> genes, are associated with the development of pancreatic tumors in some individuals, and these tumors arise via inactivation of the remaining allele of the involved gene, being, therefore, highly sensitive to platinum compounds and PARP inhibitors. The impact of <italic>BRCA1</italic>, which is similar to <italic>BRCA2</italic> with regard to the spectrum of associated cancer types and the biological role, is less proven, both for the increase of the disease risk and for the tumor sensitivity to DNA double-strand inducing agents [<xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B83">83</xref>]. Other genetic causes of pancreatic cancer are exceptionally rare.</p>
</sec>
<sec id="t2-6">
<title>Biliary tract tumors</title>
<p id="p-33">Activating mutations and rearrangements affecting the <italic>FGFR2</italic> gene are the most common events in this variety of tumors: they are detected in approximately 1 out of 5 biliary tract carcinomas. HER2 activation in this cancer type occurs via gene amplification and overexpression as well as via point mutations; overall, HER2 upregulation is observed in approximately 4% of biliary tumors. In addition, 2% of biliary carcinomas carry V600E substitution in the <italic>BRAF</italic> oncogene, and 2% of cases are microsatellite unstable. Intrahepatic cholangiocarcinomas, but not other tumors from this category, have frequent involvement of <italic>FGFR2</italic> receptor tyrosine kinase and <italic>IDH1/2</italic> genes. In total, more than a third of biliary malignancies are amenable to targeted therapy [<xref ref-type="bibr" rid="B84">84</xref>].</p>
</sec>
<sec id="t2-7">
<title>Melanoma</title>
<p id="p-34">Approximately 60% of cutaneous melanomas carry <italic>BRAF</italic> V600E substitution. These tumors are often associated with excessive ultraviolet exposure and, therefore, a high mutation burden and increased antigenic load. The optimal sequence of BRAF inhibitors and immune oncology drugs depends on the particular clinical situation [<xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>]. The incidence of <italic>NRAS</italic> mutations in melanomas of the skin approaches 15% [<xref ref-type="bibr" rid="B87">87</xref>]. These alterations are not currently druggable; however, it is advisable to perform <italic>NRAS</italic> testing: the presence of <italic>NRAS</italic> mutations confirms <italic>BRAF</italic>-negative status of the tumor, while the absence of this event may call, at least in some circumstances, for the search of other alterations in MAPK signaling pathway [<xref ref-type="bibr" rid="B88">88</xref>]. Approximately 15% of mucous and acral melanomas carry activating events in KIT receptor tyrosine kinase; unfortunately, only a portion of <italic>KIT</italic> mutations are druggable by available KIT inhibitors [<xref ref-type="bibr" rid="B89">89</xref>].</p>
</sec>
<sec id="t2-8">
<title>Thyroid cancer</title>
<p id="p-35">Medullary thyroid carcinomas are characterized by the high occurrence of activating mutations in <italic>RET</italic> receptor tyrosine kinase. Importantly, this histological diagnosis calls for germline <italic>RET</italic> testing irrespective of other clinical features, such as age or family history, as 10–25% of consecutive medullary thyroid carcinomas are hereditary in nature. In addition to germline mutations, a significant portion of these tumors arise due to somatic events affecting the same oncogene. Papillary thyroid cancers have a totally distinct spectrum of druggable genetic events. Approximately half of these carcinomas carry <italic>BRAF</italic> V600E substitutions. A significant portion of papillary tumors contain druggable rearrangements: <italic>RET</italic> fusions are relatively common, while <italic>NTRK</italic> and <italic>ALK</italic> translocations occur at moderate frequency [<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B91">91</xref>].</p>
<p id="p-36">Perhaps the most striking molecular feature of thyroid cancer is a commonality of scenarios involving <italic>RET</italic> oncogene activation, especially given recent invention of RET inhibitors. While medullary cancers develop via mutation-driven activation of RET kinase, papillary tumors often arise due to the emergence of rearrangements affecting this oncogene [<xref ref-type="bibr" rid="B90">90</xref>, <xref ref-type="bibr" rid="B91">91</xref>].</p>
</sec>
<sec id="t2-9">
<title>Endometrial carcinomas</title>
<p id="p-37">Endometrial carcinomas have the highest rate of MSI among common tumor types: this event is detected in approximately 20% of malignancies belonging to this category. Although the majority of MSI-positive uterine cancers are sporadic, the possible presence of Lynch syndrome and, consequently, germline testing should be considered in patients with young-onset disease and/or a family history of endometrial or colorectal cancers. <italic>POLE</italic> mutations are also a mandatory component of DNA analysis in endometrial cancer patients. A subset of endometrial tumors carry amplified and overexpressed <italic>HER2</italic> oncogene and, therefore, are amenable to therapeutic HER2 inhibition [<xref ref-type="bibr" rid="B92">92</xref>, <xref ref-type="bibr" rid="B93">93</xref>].</p>
</sec>
<sec id="t2-10">
<title>Prostate cancer</title>
<p id="p-38">Similar to pancreatic cancer, the involvement of <italic>BRCA2</italic> germline mutations in the pathogenesis of prostate cancer is beyond any reasonable doubt, while the role of the <italic>BRCA1</italic> gene is far less clear [<xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>]. Castrate-resistant prostate cancer patients are recommended to undergo testing for somatic mutations in homologous recombination repair (HRR) genes. The HRR test is sometimes confused with the HRD assay, given that both tests are intended to reveal tumors with sensitivity to PARP inhibitors and extend their spectrum beyond BRCA-driven carcinomas. As already explained above, the HRD test relies on the genomic scanning of the tumor karyotype and identifies instances of “BRCA-like” chromosomal instability. In contrast, the HRR assay is not capable of revealing the consequences of deficient homologous recombination, but instead simply supports the analysis for somatic mutations in genes presumably involved in this pathway.</p>
<p id="p-39">The most well-known HRR panels contains up to 15 genes, including <italic>BRCA1</italic> and <italic>BRCA2</italic> [<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B96">96</xref>]. The reliance on HRR gene analysis has significant limitations. First of all, even the detection of a somatic mutation in a well-known gene, like <italic>BRCA2</italic>, does not guarantee the inactivation of the remaining gene allele, i.e., functional BRCA2 inactivation [<xref ref-type="bibr" rid="B43">43</xref>]. Furthermore, several genes, which have been included in HRR panels, do not play a role in rendering tumor responsiveness to DNA double-strand break inducing agents [<xref ref-type="bibr" rid="B97">97</xref>]. <italic>ATM</italic> and <italic>CHEK2</italic> are relevant examples in this respect, because they usually do not undergo somatic biallelic inactivation even in tumors with germline pathogenic variants. Furthermore, there are several lines of evidence suggesting that ATM and CHEK2 deficiency is not associated with tumor sensitivity to PARP inhibitors or platinum compounds [<xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B48">48</xref>]. Molecular genetic testing for prostate cancer deserves to undergo substantial revision in the next few years.</p>
</sec>
<sec id="t2-11">
<title>Urothelial carcinomas</title>
<p id="p-40">FGFR3 up-regulation is the most common druggable event in urothelial cancers. Somewhat surprisingly, activation of this receptor tyrosine kinase is observed in more than a quarter of localized cancers, while this estimate falls to about 15–20% in metastatic forms of this disease. The majority of alterations are point mutations affecting “hot codons”. However, some carcinomas arise due to <italic>FGFR3</italic> gene rearrangements. Alterations in other genes belonging to the <italic>FGFR</italic> family are significantly less common. A significant portion of urothelial malignancies have evidence of activation of the <italic>HER2</italic> oncogene via point mutation or gene amplification followed by overexpression. MSI is detected in up to 1% of tumors of this type [<xref ref-type="bibr" rid="B98">98</xref>].</p>
</sec>
</sec>
<sec id="s3">
<title>Agnostic administration of anticancer drugs</title>
<p id="p-41">The term agnostic originates from the Greek word “gnosis” (knowledge). Agnostic choice of therapy means the reliance on molecular data irrespective of the knowledge of tumor histology. Although being intuitively attractive, this approach tends to ignore many important nuances, for example, the molecular context of druggable mutations. For instance, <italic>BRAF</italic> V600-mutated melanomas can be efficiently managed by BRAF inhibitors administered either alone or in combination with MEK antagonists. This treatment is ineffective in colorectal carcinomas because these malignancies express significant amounts of EGFR receptor and, therefore, are capable of escaping this treatment via the collateral pathway. However, appropriate modification of this therapy, i.e., the addition of anti-EGFR therapeutic antibodies to BRAF inhibitors, allows to achieve tumor shrinkage. Despite all these limitations, the feasibility of the agnostic approach is beyond any reasonable doubt, and this attitude towards the use of cancer drugs will be increasingly utilized in the future [<xref ref-type="bibr" rid="B99">99</xref>].</p>
</sec>
<sec id="s4">
<title>Integrative genomic tests</title>
<p id="p-42">The majority of molecular tests utilized in clinical oncology rely on the analysis of single activating or inactivating events on a gene-by-gene basis. There is a distinct category of assays which aim at the evaluation of integrative characteristics of the human genome. These assays are significantly more complex, deal with continuous variables, and use certain thresholds. Furthermore, they are more or less agnostic, i.e., relevant to a diverse spectrum of tumor types. Well-known examples of integrative tests include MSI, HRD, and TMB (<xref ref-type="table" rid="t2">Table 2</xref>). MSI and HRD have been described above in the sections devoted to colorectal and ovarian cancers, respectively.</p>
<table-wrap id="t2">
<label>Table 2</label>
<caption>
<p id="t2-p-1">
<bold>Integrative genomic tests in molecular oncology</bold> [<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B86">86</xref>, <xref ref-type="bibr" rid="B92">92</xref>–<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B98">98</xref>]</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>
<bold>Genomic feature</bold>
</th>
<th>
<bold>Definition</bold>
</th>
<th>
<bold>Methods</bold>
</th>
<th>
<bold>Tumor types</bold>
</th>
<th>
<bold>Drugs</bold>
</th>
</tr>
</thead>
<tbody>
<tr>
<td>MSI</td>
<td>Accumulation of mutations in microsatellite repeats as a result of mismatch repair deficiency</td>
<td>PCR (BAT25, BAT26, NR21, NR24, NR27)<break />IHC for MMR proteins<break />NGS (whole-genome, whole-exome, targeted panels)</td>
<td>Colorectal, endometrial, pancreatic, biliary, and urothelial cancers</td>
<td>Immune checkpoint inhibitors (pembrolizumab, nivolumab, etc.)</td>
</tr>
<tr>
<td>TMB</td>
<td>Total number of somatic mutations; TMB-high refers to more than 10 mutations per megabase</td>
<td>NGS (whole-genome, whole-exome, targeted panels)</td>
<td>Carcinogen-related cancers (smoking-induced lung cancer, ultraviolet-associated skin melanoma), <italic>POLE</italic>-, <italic>POLD1</italic>-, or <italic>MUTYH</italic>-associated cancers</td>
<td>Immune checkpoint inhibitors (pembrolizumab, nivolumab, etc.)</td>
</tr>
<tr>
<td>HRD</td>
<td>Failure to repair DNA double-strand breaks using homologous recombination</td>
<td>Analysis of germline and somatic mutations in HR genes<break />Analysis of complex genomic rearrangements and genomic instability scores (HRD score, HRDetect, CHORD)<break />Functional assays (RAD51 foci analysis)</td>
<td>High-grade serous ovarian carcinomas, triple-negative breast carcinomas, pancreatic cancer, prostate cancer</td>
<td>DNA-damaging cytotoxic drugs (platinum, mitomycin C, cyclophosphamide, doxorubicin, etc.), PARP inhibitors (olaparib, rucaparib, niraparib, talazoparib)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p id="t2-fn-1">HRD: homologous recombination deficiency; IHC: immunohistochemistry; MSI: microsatellite instability; NGS: next-generation sequencing; PCR: polymerase chain reaction; TMB: tumor mutation burden</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p id="p-43">TMB reflects the total number of mutations in the human genome and correlates tightly with tumor antigenicity, and, consequently, with the efficacy of immune therapy. Initially, TMB was defined as a total number of coding events identified upon whole-exome sequencing. TMB is commonly estimated by multigene NGS assays consisting of several hundred genes. High TMB is characteristic of carcinogen-induced tumors, particularly lung cancer in smokers or melanomas caused by excessive ultraviolet irradiation. Some types of DNA repair deficiency, for example, dMMR, as well as mutations in DNA polymerase genes, e.g., <italic>POLE</italic>, cause an extraordinarily high increase of TMB [<xref ref-type="bibr" rid="B100">100</xref>, <xref ref-type="bibr" rid="B101">101</xref>].</p>
</sec>
<sec id="s5">
<title>Complex genomic profiling</title>
<p id="p-44">NGS technologies allow for characterization of individual tumor genome within several days. Many commercial services as well as in-house protocols aim at simultaneous analysis of all actionable genetic events in order to assist the choice of the best therapy and warn about hereditary cancer syndromes. The number of predictive genes does not exceed a few dozen, with only a few of them being sufficiently validated (<italic>EGFR</italic>, <italic>HER2</italic>, <italic>BRAF</italic>, <italic>ALK</italic>, <italic>ROS1</italic>, <italic>RET</italic>, <italic>MET</italic>, <italic>NTRK1-3</italic>, <italic>FGFR1-4</italic>, <italic>IDH1/2</italic>, <italic>PIK3CA</italic>, etc.). Similarly, only a few dozen genes have been convincingly shown to be implicated in the pathogenesis of hereditary cancer syndromes. In addition to single-gene analysis, an “ideal” NGS-assay should consider integrative characteristics of the tumor genome, such as MSI, TMB, and HRD, with the latter test being particularly complicated.</p>
<p id="p-45">Despite their obvious utility, current NGS diagnostic services have significant disadvantages. The vast majority of available NGS panels pool together truly actionable genes and genes with presumable significance [<xref ref-type="bibr" rid="B99">99</xref>]. Consequently, many reported genomic findings are not at all helpful but actually misleading. Technical drawbacks of currently utilized NGS procedures are essential: for example, many NGS tests are unable to reliably detect gene rearrangements or gross deletions and duplications.</p>
<p id="p-46">Clinical feasibility of complex genomic profiling, i.e., the chances of finding an actionable event in a given tumor, is not always clearly understood by practicing oncologists or cancer patients. For example, NGS has limited added value in lung cancer patients with known driver mutations in MAPK pathway genes or with a history of heavy smoking. Prospective studies revealed low utility of complex genomic profiling in patients with breast cancer [<xref ref-type="bibr" rid="B62">62</xref>]. At the same time, complex genomic profiling seems highly relevant to rare tumors or cancers of unknown primary site [<xref ref-type="bibr" rid="B102">102</xref>]. Increasing availability of NGS will certainly facilitate the use of multigene testing, together with or instead of conventional single-target assays.</p>
</sec>
<sec id="s6">
<title>Liquid biopsy</title>
<p id="p-47">All tumors carry a certain number of somatic mutations. As some tumor cells undergo decay, possibly due to apoptosis, they shed DNA into the bloodstream. Mutated DNA can be detected with the highest level of sensitivity and specificity: some available technologies, for example, specific modifications of droplet digital PCR or NGS, are capable of detecting a single mutated gene copy in the presence of a few thousand normal gene counterparts [<xref ref-type="bibr" rid="B3">3</xref>]. Historically, the analysis of circulating tumor DNA (ctDNA) proved to be useful as a replacement for tissue biopsy, for example, for the detection of treatment-induced <italic>EGFR</italic> T790M mutations [<xref ref-type="bibr" rid="B103">103</xref>]. The use of ctDNA for the analysis of primary chemonaive tumors looks less feasible, as all tumors undergo morphological investigation upon diagnosis and, therefore, are available for DNA and RNA testing.</p>
<p id="p-48">The most impressive achievement of liquid biopsy is its ability to monitor the course of cancer disease. Several studies have confirmed that patients with residual ctDNA after surgery benefit from adjuvant therapy, while the clearance of ctDNA allows to omit the postsurgical use of anticancer drugs [<xref ref-type="bibr" rid="B104">104</xref>]. Liquid biopsy allows for almost immediate assessment of tumor sensitivity to a given therapy, thus providing an opportunity for timely modification of the treatment [<xref ref-type="bibr" rid="B105">105</xref>]. The most attractive feature of the analysis of tumor-derived DNA and proteins in human plasma is the promise for cancer screening: there are ongoing studies that appear to provide sound support to this concept [<xref ref-type="bibr" rid="B106">106</xref>].</p>
<p id="p-49">Liquid biopsy has a significant disadvantage: it is currently performed at the limit of sensitivity and specificity of available technologies, so both false-negative and false-positive results are often observed for the time being. A recent animal study utilized interference with serum nucleases and liver-resident macrophages to minimize ctDNA decay and improve the performance of liquid biopsy. This approach resulted in a dramatic improvement in the sensitivity of ctDNA detection, and may be utilized in humans if proven to be safe [<xref ref-type="bibr" rid="B107">107</xref>].</p>
</sec>
<sec id="s7">
<title>Conclusions</title>
<p id="p-50">Progress in understanding the mechanisms of cancer progression resulted in the dramatic breakthrough in the development of novel cancer treatments and the invention of a multitude of molecular diagnostic techniques. Cancer management has become a multidisciplinary field of medicine requiring constant interaction and mutual understanding between surgeons, medical oncologists, radiologists, morphologists, molecular geneticists, etc. Current professional requirements imply that practicing physicians should have significant fluency in molecular medicine, while laboratory diagnostic specialists need to be sufficiently familiar with the clinical value of molecular genetic tests. This combined expertise renders a great promise for improving treatment outcomes in cancer patients.</p>
</sec>
</body>
<back>
<glossary>
<title>Abbreviations</title>
<def-list>
<def-item>
<term>ctDNA</term>
<def>
<p>circulating tumor DNA</p>
</def>
</def-item>
<def-item>
<term>dMMR</term>
<def>
<p>deficient mismatch repair</p>
</def>
</def-item>
<def-item>
<term>HRD</term>
<def>
<p>homologous recombination deficiency</p>
</def>
</def-item>
<def-item>
<term>HRM</term>
<def>
<p>high-resolution melting</p>
</def>
</def-item>
<def-item>
<term>HRR</term>
<def>
<p>homologous recombination repair</p>
</def>
</def-item>
<def-item>
<term>IHC</term>
<def>
<p>immunohistochemistry</p>
</def>
</def-item>
<def-item>
<term>LGRs</term>
<def>
<p>large gene rearrangements</p>
</def>
</def-item>
<def-item>
<term>MSI</term>
<def>
<p>microsatellite instability</p>
</def>
</def-item>
<def-item>
<term>NGS</term>
<def>
<p>next-generation sequencing</p>
</def>
</def-item>
<def-item>
<term>PCR</term>
<def>
<p>polymerase chain reaction</p>
</def>
</def-item>
<def-item>
<term>TKIs</term>
<def>
<p>tyrosine kinase inhibitors</p>
</def>
</def-item>
<def-item>
<term>TMB</term>
<def>
<p>tumor mutation burden</p>
</def>
</def-item>
</def-list>
</glossary>
<sec id="s8">
<title>Declarations</title>
<sec id="t-8-1">
<title>Author contributions</title>
<p>EI: Conceptualization, Writing—original draft, Writing—review &amp; editing. AS: Writing—review &amp; editing. Both authors read and approved the submitted version.</p>
</sec>
<sec id="t-8-2" sec-type="COI-statement">
<title>Conflicts of interest</title>
<p>Evgeny Imyanitov who is the Guest Editor of <italic>Exploration of Medicine</italic> had no involvement in the decision-making or the review process of this manuscript. The other author declares that there are no conflicts of interest.</p>
</sec>
<sec id="t-8-3">
<title>Ethical approval</title>
<p>Not applicable.</p>
</sec>
<sec id="t-8-4">
<title>Consent to participate</title>
<p>Not applicable.</p>
</sec>
<sec id="t-8-5">
<title>Consent to publication</title>
<p>Not applicable.</p>
</sec>
<sec id="t-8-6" sec-type="data-availability">
<title>Availability of data and materials</title>
<p>Not applicable.</p>
</sec>
<sec id="t-8-7">
<title>Funding</title>
<p>This work was supported by the Russian Science Foundation [21-75-30015]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<sec id="t-8-8">
<title>Copyright</title>
<p>© The Author(s) 2025.</p>
</sec>
</sec>
<sec id="s9">
<title>Publisher’s note</title>
<p>Open Exploration maintains a neutral stance on jurisdictional claims in published institutional affiliations and maps. All opinions expressed in this article are the personal views of the author(s) and do not represent the stance of the editorial team or the publisher.</p>
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