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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Pathol. Oncol. Res.</journal-id>
<journal-title>Pathology &#x26; Oncology Research</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Pathol. Oncol. Res.</abbrev-journal-title>
<issn pub-type="epub">1532-2807</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1611518</article-id>
<article-id pub-id-type="doi">10.3389/pore.2023.1611518</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pathology and Oncology Archive</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Spectrum of BCR-ABL mutations in Azerbaijanian imatinib-resistant patients with chronic myeloid leukemia</article-title>
<alt-title alt-title-type="left-running-head">Hasanova et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/pore.2023.1611518">10.3389/pore.2023.1611518</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hasanova</surname>
<given-names>Aypara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2526714/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Asadov</surname>
<given-names>Chingiz</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Karimova</surname>
<given-names>Nigar</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shirinova</surname>
<given-names>Aytan</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Aliyeva</surname>
<given-names>Gunay</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1099471/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Alimirzoyeva</surname>
<given-names>Zohra</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Leukemogenesis Laboratory</institution>, <institution>Institute of Hematology and Transfusiology</institution>, <addr-line>Baku</addr-line>, <country>Azerbaijan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Hematopoiesis Department</institution>, <institution>Institute of Hematology and Transfusiology</institution>, <addr-line>Baku</addr-line>, <country>Azerbaijan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Human Genetics Laboratory</institution>, <institution>Biotechnology Department</institution>, <institution>Institute of Genetic Resources</institution>, <addr-line>Baku</addr-line>, <country>Azerbaijan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Hematology Department</institution>, <institution>Institute of Hematology and Transfusiology</institution>, <addr-line>Baku</addr-line>, <country>Azerbaijan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1239975/overview">Agota Szepesi</ext-link>, Semmelweis University, Hungary</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Gunay Aliyeva, <email>galiyeva@rocketmail.com</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>22</day>
<month>12</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>29</volume>
<elocation-id>1611518</elocation-id>
<history>
<date date-type="received">
<day>27</day>
<month>09</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>12</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Hasanova, Asadov, Karimova, Shirinova, Aliyeva and Alimirzoyeva.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Hasanova, Asadov, Karimova, Shirinova, Aliyeva and Alimirzoyeva</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objective:</bold> BCR-ABL1 kinase domain (KD) mutations can lead to resistance to first- and second-generation tyrosine kinase inhibitors (TKIs) in chronic myeloid leukemia (CML). Here, we present the first report of the spectrum of mutations in the BCR-ABL1 KD of CML patients from Azerbaijan.</p>
<p>
<bold>Materials and methods:</bold> Samples for mutation screening were obtained from patients experiencing resistance to first line TKIs or from patients in acceleration phase (AP) or blast crisis (BC) at the time of diagnosis. The cDNA region corresponding to BCR-ABL1 KD was sequenced by pyrosequencing method. The &#x3c7;<sup>2</sup> test was used to assess the association of categorical variables between mutation-positive and -negative groups. In addition, the Kaplan-Meier method was applied to generate survival curves.</p>
<p>
<bold>Results:</bold> Eight different point mutations were identified in 22 (13.4%) out of 163 CML patients experiencing resistance to TKIs. The types of mutations detected were as follows: Contact binding site mutations 50% (11), SH2 domain mutations 27.4% (six), P-loop mutations 18.1% (four), and SH3 domain mutations accounting for 4.5% (one). The most common mutation was T315I, accounting for 5% (<italic>n</italic> &#x3d; 8) of all patients. Significant association was identified between BCR-ABL1 mutations and additional chromosomal aberrations as well as between the mutations and disease phases (<italic>p</italic> &#x3c; 0.05). Twelve out of 22 patients with BCR-ABL1 mutations and seven out of eight with T315I were in BC. Overall survival (OS) of the patients with BCR-ABL1 mutations was significantly lower comparing to the patients with no mutation (<italic>p</italic> &#x3c; 0.05) and 8 patients with T315I mutation presented OS of 0%.</p>
<p>
<bold>Conclusion:</bold> T315I was the most commonly identified BCR-ABL1 mutation in TKI-resistant CML patients of Azerbaijani origin, being associated with disease progression and poor OS.</p>
</abstract>
<kwd-group>
<kwd>chronic myeloid leukemia</kwd>
<kwd>mutation</kwd>
<kwd>tyrosine kinase inhibitor resistance</kwd>
<kwd>kinase domain</kwd>
<kwd>BCR-ABL</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Rearrangements involving the ABL1 gene at chromosome 9q and the BCR gene at 22q result in formation of the Philadelphia (Ph) chromosome, t(9; 22)(q34; q11), and are present in all cases of chronic myeloid leukemia (CML) and in some cases of acute lymphoblastic leukemia (Ph&#x2b; ALL). The BCR-ABL1 fusion gene, characteristic for these patients, encodes an oncoprotein that has an activated tyrosine kinase domain in the ABL region. This infamous protein promotes cell proliferation leading to loss of stromal adhesion and inhibits apoptosis by activating downstream pathways, including Janus kinase-signal transducer and activator of transcription (Jak-Stat) and Myc [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>].</p>
<p>Introduction and widespread clinical use of the tyrosine kinase inhibitor (TKI), imatinib in CML patients, has resulted in much better overall survival compared to interferon [<xref ref-type="bibr" rid="B3">3</xref>]. Furthermore, imatinib has reduced the need for allogeneic stem cell transplantation in these patients [<xref ref-type="bibr" rid="B4">4</xref>]. Despite the extraordinary success of imatinib for the treatment of CML, up to 40% of patients experience intolerance or resistance. The most common reason for treatment failure is the acquisition of mutations within the kinase domain (KD) of BCR-ABL1 that impair drug binding. Although more developed second-generation TKIs were designed to target most imatinib-resistant mutations, some mutations show resistance even to these new generation drugs (T315I) [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>]. Almost 25% of imatinib-resistant patients were reported to have more than one BCR-ABL1 KD mutation, and the presence of multiple mutations defines a poor-risk subgroup of chronic phase (CP) CML patients [<xref ref-type="bibr" rid="B7">7</xref>]. These patients have a higher likelihood of acquiring new resistant mutations and poor response to treatment with second-generation TKIs, irrespective of the resistance profile of the mutations [<xref ref-type="bibr" rid="B7">7</xref>].</p>
<p>Currently, TKIs applied to treat CML strongly improve the overall survival (OS) of patients [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B8">8</xref>]. The majority of patients achieve a life expectancy close to that of the general population [<xref ref-type="bibr" rid="B9">9</xref>]. However, there are still some treatment-related problems present: 1) The disease still progresses to an acceleration phase (AP) or blast crisis (BC) following treatment with TKIs; 2) a number of patients are resistant to TKIs; and 3) patients cannot endure the side effects of TKIs [<xref ref-type="bibr" rid="B10">10</xref>].</p>
<p>Patients frequently develop primary or secondary resistance to TKIs, despite the high response rates (primary or intrinsic resistance is a lack of initial response, whereas secondary or acquired resistance (relapse) is a loss of an established response) [<xref ref-type="bibr" rid="B11">11</xref>]. According to the European LeukemiaNet (ELN) criteria, resistance is defined as failure of first-line TKI therapy: less than a complete hematologic response and/or no cytogenetic response (CyR; defined as Ph&#x2b; bone marrow metaphases &#x3e;95%) at 3&#xa0;months, BCR-ABL1 transcript levels above 10% and/or less than a partial CyR (PcyR; defined as &#x2264;35% Ph&#x2b; metaphases) at 6&#xa0;months, BCR-ABL1 transcript levels above 1% and/or less than a complete CyR (CCyR; defined as no Ph&#x2b; metaphases) at 12&#xa0;months, or loss of a complete hematologic response or complete CyR or confirmed loss of MMR, mutations, or clonal chromosome abnormalities in Ph&#x2212; cells at any subsequent time during therapy [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B12">12</xref>]. According to the National Comprehensive Cancer Network (NCCN) guidelines, on the other hand, resistance is defined as the detection of BCR-ABL1/ABL1 transcript levels above 10% on the International Scale or failure to achieve PCyR at 3&#xa0;months, or failure to achieve CCyR at 12&#xa0;months or 18&#xa0;months [<xref ref-type="bibr" rid="B13">13</xref>]. Several mechanisms have been associated with resistance, including BCR-ABL1-dependent and BCR-ABL1-independent mechanisms [<xref ref-type="bibr" rid="B14">14</xref>]. BCR-ABL1 KD mutations and BCR-ABL1 genomic amplification are well-known mechanisms of resistance to TKI therapy [<xref ref-type="bibr" rid="B15">15</xref>].</p>
<p>Mutation analysis is usually performed after patients experience TKI treatment resistance; the results of mutation analysis may guide the selection of subsequent TKIs [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B16">16</xref>]. Imatinib resistance, regardless of aetiology, necessitates a change in treatment strategy. However, the choice of second-generation TKI should take into account ABL1 KD mutation status to ensure optimum efficiency of TKI. Imatinib resistance often results from ABL1 mutations in the P-loop (G250E or E255K/V) and in the ATP-binding site (F317L) or from the panresistant mutation T315I [<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>]. Only few mutations are known to cause clinical resistance to nilotinib (Y253H, E255K/V, and F359V/C/I) [<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>] or dasatinib (V299L, T315A, F317L/I/V/C) [<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>] or both (T315I). Patients already having mutations have higher likelihood of developing new mutations [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B22">22</xref>] and multiple mutations can be associated with poor prognosis [<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>]. BCR-ABL1 KD mutation analysis can be done either by direct Sanger sequencing or Pyrosequencing which has been largely used to-date [<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B16">16</xref>]. Although newer technologies with greater sensitivity are available, most of them are limited by their specificity and limited spectrum of mutations, next-generation sequencing (NGS), nevertheless, is an exception.</p>
<p>The aim of this study is thus to analyse the association of identified BCR-ABL1 KD mutations with resistance to first-line TKI imatinib.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec id="s2-1">
<title>Patients</title>
<p>In this study, 163 CML patients treated in the clinical department of the Scientific Research Institute of Hematology and Transfusion were analyzed retrospectively. At the time of the analysis, 119 patients were in the CP, 26 were in the AP, and 18 were in the BC phase. Phases of the disease were determined according to ELN recommendations [<xref ref-type="bibr" rid="B1">1</xref>]. Mutation screening for BCR-ABL1 KD was performed in CML patients who showed resistance to imatinib treatment and failed to achieve MMR after 12, 18, and 24&#xa0;months. Data was collected from patients undergoing mutation screening during imatinib treatment. Mutation screening was performed in patients who showed resistance to the drug or progressed to AP or BC phase of the disease, as required. Patients were grouped according to BCR-ABL1 mutational status. The relationship between the clinical data of the patients and the mutation status was analyzed. The study was approved by institutional review board and consent was obtained from all patients included in the study.</p>
</sec>
<sec id="s2-2">
<title>Real-time polymerase chain reaction (RT PCR)</title>
<p>Evaluation of p210 BCR/ABL1 chimeric oncogene expression was implemented in several steps: RNA isolation; Obtaining cDNA by reverse transcriptase reaction; Real-time PCR. RNA isolation was performed using QIAamp<sup>&#xae;</sup> RNA Blood Mini Kit (QiaGen, Germany), Reverse Transcriptase RT<sup>&#xae;</sup> Kit (QiaGen, Germany). Quantification of BCR-ABL1 p210, b2a2 or b3a2 transcripts in bone marrow or peripheral blood samples of CML patients was carried out by RT PCR on Rotor-Gene Q (QiaGen, Germany) device and BCR-ABL1 Mbcr IS-MMR Kit (QiaGen, Germany). The background level (LoB) equal to 0.0022 BCR-ABL Mbcr NCN. The limit of detection (LoD or analytical sensitivity) equal to 0.0069 BCR-ABL Mbcr NCN.</p>
</sec>
<sec id="s2-3">
<title>Fluorescence <italic>in situ</italic> hybridization (FISH) method</title>
<p>FISH analysis was performed using the BCR/ABL(ABL1) Translocation, Dual Fusion DNA probe (Cytocell, United Kingdom) on metaphase chromosomes or interphase nuclei obtained by short-term culture. The cut-off value was 2.39% for bone marrow and 2.55% for peripheral blood. Preparations were examined using an Imager A2 microscope (Carl Zeiss), Isis software (Metasystems) and DAPI/TexasRed/FITC filters.</p>
</sec>
<sec id="s2-4">
<title>Cytogenetic method</title>
<p>Metaphases obtained after culturing bone marrow (24&#xa0;h) or peripheral blood samples (72&#xa0;h) were stained by GTL-banding. Karyotyping of metaphases was performed using an Axio Imager A2 microscope (Carl Zeiss) and Ikaros software (Metasystems).</p>
</sec>
<sec id="s2-5">
<title>BCR-ABL1 mutation analysis</title>
<p>These examinations were carried out with the support of ATQ Biotechnology Laboratory operating in Ankara, T&#xfc;rkiye. Pyrosequencing analysis is based on the principle of sequencing by synthesis. This method is a real-time quantitative sequence analysis based on the detection of pyrophosphates released during DNA synthesis. All tests were performed in peripheral blood. First, RNA was isolated from peripheral blood samples with the QIAamp<sup>&#xae;</sup> RNA Blood Mini Kit (QiaGen, Germany). In the next step, RNA to cDNA was converted using RT<sup>&#xae;</sup> Kit (QiaGen, Germany) to obtain cDNA. Then, two rounds of PCR were performed using the Pyromark PCR kit (QiaGen, Germany). After the PCR step, pyrosequencing analysis was performed on a Pyromark Q24 (QiaGen, Germany) device. The investigation of mutations resulting from single nucleotide variants (SNVs) was carried out through BCR-ABL1 pyrosequencing analysis, as outlined in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Mutations determined by BCR-ABL1 pyrosequencing analysis.</p>
</caption>
<table>
<thead valign="top">
<tr style="background-color:#D9D9D9">
<th align="center">No</th>
<th align="center">Sequencing primer</th>
<th align="center">Amino acid change</th>
<th align="center">Point mutation</th>
<th align="center">Sequence</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">1</td>
<td rowspan="4" align="center">BCR-ABL 253 Forward</td>
<td align="center">Y253H</td>
<td align="center">(TAC&#x3e;CAC)</td>
<td rowspan="2" align="center">1: T/CAC&#x200b;GGG&#x200b;G/AAG&#x200b;GTG&#x200b;TAC&#x200b;GA</td>
</tr>
<tr>
<td align="center">2</td>
<td align="center">Y253F</td>
<td align="center">(TAC&#x3e;TTC)</td>
</tr>
<tr>
<td align="center">3</td>
<td align="center">E255K</td>
<td align="center">(GAG&#x3e;AAG)</td>
<td rowspan="2" align="center">2: TA/TCG&#x200b;GGG&#x200b;A/TGG&#x200b;TGT&#x200b;ACG&#x200b;A</td>
</tr>
<tr>
<td align="center">4</td>
<td align="center">E255V</td>
<td align="center">(GAG&#x3e;GTG)</td>
</tr>
<tr>
<td align="center">5</td>
<td rowspan="2" align="center">BCR-ABL 299 Reverse</td>
<td align="center">V299L</td>
<td align="center">(GTG&#x3e;CTG)</td>
<td rowspan="2" align="center">AC/G/ACA&#x200b;GGT&#x200b;TAG&#x200b;GGT&#x200b;GTT&#x200b;T</td>
</tr>
<tr>
<td align="center">6</td>
<td align="center">V299L</td>
<td align="center">(GTG&#x3e;TTG)</td>
</tr>
<tr>
<td align="center">7</td>
<td rowspan="6" align="center">BCR-ABL 315 Forward</td>
<td align="center">T315A</td>
<td align="center">(ACT&#x3e;GCT)</td>
<td rowspan="6" align="center">A/GC/TTG&#x200b;AGT/C/GTC/A/GAT&#x200b;GAC&#x200b;CT</td>
</tr>
<tr>
<td align="center">8</td>
<td align="center">T315I</td>
<td align="center">(ACT&#x3e;ATT)</td>
</tr>
<tr>
<td align="center">9</td>
<td align="center">F317L</td>
<td align="center">(TTC&#x3e;TTA)</td>
</tr>
<tr>
<td align="center">10</td>
<td align="center">F317L</td>
<td align="center">(TTC&#x3e;TTG)</td>
</tr>
<tr>
<td align="center">11</td>
<td align="center">F317L</td>
<td align="center">(TTC&#x3e;CTC)</td>
</tr>
<tr>
<td align="center">12</td>
<td align="center">F317V</td>
<td align="center">(TTC&#x3e;GTC)</td>
</tr>
<tr>
<td align="center">13</td>
<td rowspan="2" align="center">BCR-ABL 359 Forward</td>
<td align="center">F359V</td>
<td align="center">(TTC&#x3e;GTC)</td>
<td align="center">1: CT/GTCATCCACA</td>
</tr>
<tr>
<td align="center">14</td>
<td align="center">F359C</td>
<td align="center">(TTC&#x3e;TGC)</td>
<td align="center">2: CTT/GCATCCACA</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s2-6">
<title>Statistical analyses</title>
<p>To assess the associations between two groups of categorical variables, &#x3c7;<sup>2</sup> test was used. OS was calculated from the identification of the mutation until the last follow-up, death or the censor date. To generate survival curves, the Kaplan-Meier method was applied. <italic>p</italic> &#x3c; 0.05 was considered to indicate a statistically significant difference.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Patient characteristics</title>
<p>The clinical, hematologic, and epidemiologic characteristics were analyzed altogether during the diagnosis and mutation screening of the 163 patients included in this study (<xref ref-type="table" rid="T2">Table 2</xref>). Patients were stratified by BCR-ABL1 mutation status. No significant difference was observed between clinical characteristics of the two groups, except for gender and mean age: male were more likely to have BCR-ABL1 mutations compared to female patients, and the mean age was higher in patients with mutations (<italic>p</italic> &#x3c; 0.05). There was a significant correlation between ABL KD mutations and gender (<italic>p</italic> &#x3d; 0.004).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Clinical, hematological and epidemiological characteristics of the patients at the time of diagnosis.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left"/>
<th align="center">Total (<italic>n</italic> &#x3d; 163)</th>
<th align="center">BCR-ABL mutation positive (<italic>n</italic> &#x3d; 22)</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="left">Sex</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">80</td>
<td align="center">17</td>
<td align="center">&#x3c;0.004<xref ref-type="table-fn" rid="Tfn5">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">83</td>
<td align="center">5</td>
<td align="center">Chi &#x3d; 8.08</td>
</tr>
<tr>
<td colspan="4" align="left">Age, years</td>
</tr>
<tr>
<td align="left">&#x2003;Mean, 43 (range, 12&#x2013;79)</td>
<td align="center">163</td>
<td align="center">53 (24&#x2013;79)</td>
<td align="center">0.231</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2264;49</td>
<td align="center">86</td>
<td align="center">9</td>
<td align="center">Chi &#x3d; 1.43</td>
</tr>
<tr>
<td align="left">&#x2003;&#x2265;50</td>
<td align="center">77</td>
<td align="center">13</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Disease phase at screening</td>
</tr>
<tr>
<td align="left">&#x2003;CP</td>
<td align="center">119</td>
<td align="center">5</td>
<td align="center">0.00001</td>
</tr>
<tr>
<td align="left">&#x2003;AP</td>
<td align="center">26</td>
<td align="center">5</td>
<td align="center">Chi &#x3d; 53.12</td>
</tr>
<tr>
<td align="left">&#x2003;BC</td>
<td align="center">18</td>
<td align="center">12</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Risk group</td>
</tr>
<tr>
<td align="left">&#x2003;Low</td>
<td align="center">48</td>
<td align="center">3</td>
<td align="center">0.126</td>
</tr>
<tr>
<td align="left">&#x2003;Mean</td>
<td align="center">94</td>
<td align="center">17</td>
<td align="center">Chi &#x3d; 4.13</td>
</tr>
<tr>
<td align="left">&#x2003;High</td>
<td align="center">21</td>
<td align="center">2</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Spleen</td>
</tr>
<tr>
<td align="left">&#x2003;Normal</td>
<td align="center">10</td>
<td align="center">1</td>
<td align="center">0.811</td>
</tr>
<tr>
<td align="left">&#x2003;Medium (growth up to 8&#xa0;cm)</td>
<td align="center">118</td>
<td align="center">17</td>
<td align="center">Chi &#x3d; 0.41</td>
</tr>
<tr>
<td align="left">&#x2003;Massive (&#x3e;8&#xa0;cm)</td>
<td align="center">35</td>
<td align="center">4</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Hb</td>
</tr>
<tr>
<td align="left">&#x2003;Normal (120&#x2013;160&#xa0;g/L)</td>
<td align="center">13</td>
<td align="center">3</td>
<td align="center">&#x3c;0.480</td>
</tr>
<tr>
<td align="left">&#x2003;Mild anemia (100&#x2013;119&#xa0;g/L)</td>
<td align="center">49</td>
<td align="center">4</td>
<td align="center">Chi &#x3d; 2.47</td>
</tr>
<tr>
<td align="left">&#x2003;Mean anemia (80&#x2013;99&#xa0;g/L)</td>
<td align="center">57</td>
<td align="center">9</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Severe anemia (65&#x2013;79&#xa0;g/L)</td>
<td align="center">42</td>
<td align="center">6</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">WBC</td>
</tr>
<tr>
<td align="left">&#x2003;Normal 3.9&#x2013;9 (10<sup>9</sup>/L)</td>
<td align="center">2</td>
<td align="center">0</td>
<td align="center">0.843</td>
</tr>
<tr>
<td align="left">&#x2003;Leukopenia &#x3c;3.9 (10<sup>9</sup>/L)</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">Chi &#x3d; 0.34</td>
</tr>
<tr>
<td align="left">&#x2003;Leukocytosis &#x3e;9 (10<sup>9</sup>/L)</td>
<td align="center">161</td>
<td align="center">22</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">PLT</td>
</tr>
<tr>
<td align="left">&#x2003;Normal 180&#x2013;400 (10<sup>9</sup>/L)</td>
<td align="center">92</td>
<td align="center">12</td>
<td align="center">0.920</td>
</tr>
<tr>
<td align="left">&#x2003;Thrombocytopenia &#x3c;180 (10<sup>9</sup>/L)</td>
<td align="center">23</td>
<td align="center">3</td>
<td align="center">Chi &#x3d; 0.16</td>
</tr>
<tr>
<td align="left">&#x2003;Thrombocytosis &#x3e;400 (10<sup>9</sup>/L)</td>
<td align="center">46</td>
<td align="center">7</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Blast cell (peripheral blood)</td>
</tr>
<tr>
<td align="left">&#x2003;0</td>
<td align="center">62</td>
<td align="center">3</td>
<td align="center">0.017</td>
</tr>
<tr>
<td align="left">&#x2003;1&#x2013;10</td>
<td align="center">99</td>
<td align="center">18</td>
<td align="center">Chi &#x3d; 8.12</td>
</tr>
<tr>
<td align="left">&#x2003;&#x3e;10</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Eosinophil Basophil Association</td>
</tr>
<tr>
<td align="left">&#x2003;Eosinophils superiority</td>
<td align="center">118</td>
<td align="center">16</td>
<td align="center">0.187</td>
</tr>
<tr>
<td align="left">&#x2003;Basophilic superiority</td>
<td align="center">20</td>
<td align="center">4</td>
<td align="center">Chi &#x3d; 4.79</td>
</tr>
<tr>
<td align="left">&#x2003;Without superiority</td>
<td align="center">23</td>
<td align="center">1</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;No Association</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Additional chromosome</td>
</tr>
<tr>
<td align="left">&#x2003;Present</td>
<td align="center">31</td>
<td align="center">9</td>
<td align="center">0.006</td>
</tr>
<tr>
<td align="left">&#x2003;Absent</td>
<td align="center">125</td>
<td align="center">11</td>
<td align="center">Chi &#x3d; 10.13</td>
</tr>
<tr>
<td align="left">&#x2003;Missing</td>
<td align="center">7</td>
<td align="center">2</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Blood group</td>
</tr>
<tr>
<td align="left">&#x2003;O (I)</td>
<td align="center">49</td>
<td align="center">6</td>
<td align="center">0.645</td>
</tr>
<tr>
<td align="left">&#x2003;A (II)</td>
<td align="center">76</td>
<td align="center">10</td>
<td align="center">Chi &#x3d; 1.66</td>
</tr>
<tr>
<td align="left">&#x2003;B (III)</td>
<td align="center">24</td>
<td align="center">5</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;AB (IV)</td>
<td align="center">14</td>
<td align="center">1</td>
<td align="left"/>
</tr>
<tr>
<td colspan="4" align="left">Rh-factor</td>
</tr>
<tr>
<td align="left">&#x2003;Rh&#x2b;</td>
<td align="center">155</td>
<td align="center">21</td>
<td align="center">0.932</td>
</tr>
<tr>
<td align="left">&#x2003;Rh&#x2212;</td>
<td align="center">8</td>
<td align="center">1</td>
<td align="center">Chi &#x3d; 0.007</td>
</tr>
<tr>
<td colspan="4" align="left">Seasons</td>
</tr>
<tr>
<td align="left">&#x2003;Spring</td>
<td align="center">38</td>
<td align="center">3</td>
<td align="center">0.394</td>
</tr>
<tr>
<td align="left">&#x2003;Summer</td>
<td align="center">50</td>
<td align="center">10</td>
<td align="center">Chi &#x3d; 2.98</td>
</tr>
<tr>
<td align="left">&#x2003;Autumn</td>
<td align="center">16</td>
<td align="center">2</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Winter</td>
<td align="center">57</td>
<td align="center">6</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Missing</td>
<td align="center">2</td>
<td align="center">1</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CP, chronic phase; AP, acceleration phase; BC, blast crisis.</p>
</fn>
<fn id="Tfn5">
<label>
<sup>a</sup>
</label>
<p>
<italic>p</italic> &#x003C; 0,05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Mutation analysis</title>
<p>During a 5.5&#xa0;years Pyrosequencing-based analysis (January 2014 to May 2019) of BCR-ABL1 kinase domain mutations, at least one point mutation was identified in 22 of 163 patients (13.4%). <xref ref-type="fig" rid="F1">Figure 1</xref> shows the frequency of the mutations, as well as mutations leading to high levels of resistance to second-line TKIs [<xref ref-type="bibr" rid="B28">28</xref>]. A total of 8 different point mutations were identified. <xref ref-type="table" rid="T3">Table 3</xref> shows the frequency of identified mutations and their distribution by the disease phases. The most frequently identified mutation was T315I and mutations were mostly observed in patients in the BC or AP.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Frequency of rare BCR-ABL1 kinase domain mutations detected by Pyrosequencing in 163 CML patients. Mutations causing high-level resistance to second-line TKIs have been presented (NCCN, Version 2.2021) [<xref ref-type="bibr" rid="B28">28</xref>].</p>
</caption>
<graphic xlink:href="pore-29-1611518-g001.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Frequency of identified mutations and their distrubition according to the disease phases.</p>
</caption>
<table>
<thead valign="top">
<tr style="background-color:#D9D9D9">
<th align="center">Mutations</th>
<th align="center">CP</th>
<th align="center">AP</th>
<th align="center">BC</th>
<th align="center">Total</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">T315I</td>
<td align="center">&#x2014;</td>
<td align="center">1 (0.6%)</td>
<td align="center">7 (4.4%)</td>
<td align="center">8 (5.0%)</td>
</tr>
<tr>
<td align="center">F359V</td>
<td align="center">1 (0.6%)</td>
<td align="center">1 (0.6%)</td>
<td align="center">1 (0.6%)</td>
<td align="center">3 (1.8%)</td>
</tr>
<tr>
<td align="center">F359C</td>
<td align="center">1 (0.6%)</td>
<td align="center">1 (0.6%)</td>
<td align="center">1 (0.6%)</td>
<td align="center">3 (1.8%)</td>
</tr>
<tr>
<td align="center">F317L (TTG)</td>
<td align="center">1 (0.6%)</td>
<td align="center">1 (0.6%)</td>
<td align="center">&#x2014;</td>
<td align="center">2 (1.2%)</td>
</tr>
<tr>
<td align="center">F317V (CTC)</td>
<td align="center">1 (0.6%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">1 (0.6%)</td>
</tr>
<tr>
<td align="center">Y253H</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">3 (1.8%)</td>
<td align="center">3 (1.8%)</td>
</tr>
<tr>
<td align="center">E255K</td>
<td align="center">&#x2014;</td>
<td align="center">1 (0.6%)</td>
<td align="center">&#x2014;</td>
<td align="center">1 (0.6%)</td>
</tr>
<tr>
<td align="center">V299L (CTG)</td>
<td align="center">1 (0.6%)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">1 (0.6%)</td>
</tr>
<tr>
<td align="center">Total</td>
<td align="center">5 (3.0%)</td>
<td align="center">5 (3.0%)</td>
<td align="center">12 (7.4%)</td>
<td align="center">22 (13.4%)</td>
</tr>
<tr>
<td align="center">Total patient<xref ref-type="table-fn" rid="Tfn1">
<sup>a</sup>
</xref>
</td>
<td align="center">119 (73%)</td>
<td align="center">26 (16%)</td>
<td align="center">18 (11%)</td>
<td align="center">163 (100%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CP, chronic phase; AP, acceleration phase; BC, blast crisis.</p>
</fn>
<fn>
<p>More than 1 mutation was identified in 4 patients.</p>
</fn>
<fn id="Tfn1">
<label>
<sup>a</sup>
</label>
<p>Total number of patients with and without mutations detected.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Additionally, only 1 mutation was identified in 18 (11%) patients, 2 mutations in 4 (2.4%) patients, and no mutation in 141 (86.6%) patients. Thus, 8 of 14 mutations were identified in 22 patients (13.4%) out of 163. The frequencies of the 8 mutations identified in our patient group were as follows: T315I&#x2014;8 (36.4%), F359V&#x2014;3 (13.7%), F359C&#x2014;3 (13.7%), F317L (TTG)&#x2014;2 (9.0%), F317V (CTC)&#x2014;1 (4.5%), Y253H&#x2014;3 (13.7%), E255K&#x2014;1 (4.5%), V299L (CTG)&#x2014;1 (4, 5%). The most common mutation appeared to be the T315I mutation followed by F359V, F359C, and Y253H (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<p>Mutations occurring in different regions of the ABL KD are presented in <xref ref-type="table" rid="T4">Table 4</xref>. Mutations occurring in the contact binding site region included T315I, F317L (TTA), F317L (TTG), F317L (CTC), F317V, T315A, which accounted for 50% of the mutations identified in the current study. The proportion of mutations identified in P-loop, SH2 domain and SH3 domain are presented in <xref ref-type="table" rid="T4">Table 4</xref>. Four patients had more than one mutation: F359V/F359C (3 patients), T315I/Y253H (1 patient). <xref ref-type="fig" rid="F2">Figure 2</xref> depicts the T315I mutation identified in the Contact binding site region of the ABL-kinase domain in patient 22 by Pyrosequencing method.</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>The proportion of mutations occurring in distinct regions.</p>
</caption>
<table>
<thead valign="top">
<tr style="background-color:#D9D9D9">
<th align="left">Region</th>
<th align="left">Mutation</th>
<th align="left">Proportion%</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td rowspan="3" align="left">P-loop</td>
<td align="left">E255K</td>
<td rowspan="3" align="left">18.1%</td>
</tr>
<tr>
<td align="left">E255V</td>
</tr>
<tr>
<td align="left">Y253H Y253F</td>
</tr>
<tr>
<td rowspan="3" align="left">Contact binding site</td>
<td align="left">T315I</td>
<td rowspan="3" align="left">50%</td>
</tr>
<tr>
<td align="left">F317L (TTA) F317L (TTG) F317L (CTC) F317V</td>
</tr>
<tr>
<td align="left">T315A</td>
</tr>
<tr>
<td rowspan="2" align="left">SH2 domain</td>
<td align="left">F359V</td>
<td rowspan="2" align="left">27.4%</td>
</tr>
<tr>
<td align="left">F359C</td>
</tr>
<tr>
<td align="left">SH3 domain</td>
<td align="left">V299L (CTG) V299L (TTG)</td>
<td align="left">4.5%</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Determination of T315I mutation by Pyrosequencing method in patient 22 (C &#x3d; 41%&#x2014;T &#x3d; 59%).</p>
</caption>
<graphic xlink:href="pore-29-1611518-g002.tif"/>
</fig>
</sec>
<sec id="s3-3">
<title>Karyotyping</title>
<p>Karyotype analysis was performed in 163 patients. It was not possible to identify the karyotype in 7 patients due the inability to obtain mitosis. Specimens for cytogenetic analysis were obtained during mutation screening of patients. Molecular cytogenetic (FISH) examination was performed in some samples in addition to cytogenetic analysis (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Identification of Philadelphia chromosome (Ph&#x2b;) in patient 5, and trisomy 8 (&#x2b;8) in patient 94 by FISH method (Cytocell).</p>
</caption>
<graphic xlink:href="pore-29-1611518-g003.tif"/>
</fig>
<p>During the analysis, a duplication of the Philadelphia chromosome (&#x2b;Ph), additional chromosomal aberrations and some structural aberrations were found in metaphases: (&#x2b;8), (&#x2212;7), (&#x2b;19), (&#x2b;21), i(17)(q10). Various chromosomal abnormalities were identified in 31 patients. ABL KD mutations were present in 9 out of 31 patients. Additional chromosomal aberrations were detected in 5 out of 8 patients with T315I mutations. Duplication of the Philadelphia chromosome (&#x2b;Ph) was identified in 2 of them. We found an association between ABL KD mutations and additional chromosomal aberrations in CML patients (<italic>p</italic> &#x3d; 0.006).</p>
</sec>
<sec id="s3-4">
<title>Survival analysis</title>
<p>The median follow-up for all patients was 22&#xa0;months (range, 2&#x2013;89&#xa0;months). The OS rates of patients in the BCR-ABL1 mutation-positive (B) and negative (A) groups were 50% and 93%, respectively (<italic>p</italic> &#x3c; 0.00001) (<xref ref-type="fig" rid="F4">Figure 4</xref>). Following 43&#xa0;months, the OS indicators of the patient groups with T315I mutation (BX) and without (A) were 0% and 92%, respectively (<italic>p</italic> &#x3c; 0.00001) (<xref ref-type="fig" rid="F5">Figure 5</xref>). Estimated median overall survival for BX group was 26. However, for group A median overall survival was not reached at the time of analysis. These results indicated that the OS rate of patients with the T315I mutation was notably decreased.</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>BCR-ABL1 negative (A) and BCR-ABL1 positive (B) OS based on mutational status of 163 CML patients. <italic>p</italic> &#x3c; 0.00001.</p>
</caption>
<graphic xlink:href="pore-29-1611518-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>T315I negative (A) and T315I positive (BX) OS based on mutational status of 163 CML patients. <italic>p</italic> &#x3c; 0.00001.</p>
</caption>
<graphic xlink:href="pore-29-1611518-g005.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Data from a cohort of 163 CML patients, subjected to mutation screening, were rigorously examined, revealing that 119 individuals (73%) were classified as being in the CP, 26 individuals (15.9%) in the AP, and 18 individuals (11.1%) in the BC. Remarkably, we identified 5 mutations in CP, 5 in AP, and 12 in BC. Our statistical analysis unveiled a pronounced association between mutations in the ABL kinase domain (ABL KD) and the respective disease phases, with a statistically significant <italic>p</italic>-value of &#x3c;0.05.</p>
<p>Notably, the T315I mutation emerged as the predominant genetic aberration and exhibited a significant correlation with overall survival (OS). Patients afflicted with the T315I mutation (<italic>n</italic> &#x3d; 7), T315I/Y253H (<italic>n</italic> &#x3d; 1), Y253H (<italic>n</italic> &#x3d; 2), and E255K (<italic>n</italic> &#x3d; 1) mutations faced adverse clinical outcomes, culminating in mortality. By the end of the study, the majority of patients with T315I, Y253H and E255K mutations had progressed to the BC phase and they failed to respond to combination chemotherapy and second-line TKIs.</p>
<p>Our investigation conclusively established that these mutations were significantly associated with resistance to both first- and second-line TKIs. Within the cohort of patients in whom mutations were identified, four individuals demonstrated the presence of multiple mutations. Three patients exhibited co-occurrence of F359V/F359C mutations, while one patient manifested both T315I/Y253H mutations. However, due to the retrospective design of the study, it was not possible to confirm whether these mutations were complex or polyclonal. Furthermore, the limited representation of such patients in our study impeded the assessment of the potential impact of compound mutations on overall survival.</p>
<p>43-month survival was noted in 92% (142) of resistant patients without the T315I mutations. 30 (21%) out of 142 patients were treated with imatinib dose escalation, and the rest 112 (79%) patients received second-line TKIs. At the culmination of a 24&#xa0;month interval, 48 patients (43%) subjected to second-line TKI therapy manifested MMR, while 64 individuals (57%) exhibited concurrent hematological response and achieved CCyR.</p>
<p>Subsequently, the cohort was stratified into low-, medium-, and high-risk groups based on their clinical characteristics at the time of initial CML diagnosis, revealing no significant associations between risk stratification, patients&#x2019; blood groups, Rh-factor, seasonality of morbidity, and ABL KD mutations. Additionally, the analysis failed to reveal any significant correlations between initial HB, WBC, PLT, eosinophil count, basophil count, spleen size at the time of diagnosis, and the presence of mutations. Nevertheless, a substantial association was observed between baseline blast cell count and the occurrence of ABL KD mutations, with a statistically significant <italic>p</italic>-value of &#x3c;0.05.</p>
<p>The emergence of resistance to tyrosine kinase inhibitors (TKIs) can be dichotomized into BCR-ABL-dependent and BCR-ABL-independent processes. BCR-ABL-dependent mechanisms encompass BCR-ABL kinase overexpression and mutations within the BCR-ABL domain, while BCR-ABL-independent processes involve the activation of alternative signaling pathways, such as JAK/STAT, as well as the upregulation of efflux transporters or downregulation of influx transporters, resulting in reduced intracellular TKI levels [<xref ref-type="bibr" rid="B29">29</xref>]. Among these mechanisms, mutations in the BCR/ABL KD are of paramount importance. Intriguingly, our study affirmed that mutations in the KD, which confer resistance to TKI therapy, exhibit a markedly higher incidence in patients in the BC phase compared to those in the CP. Furthermore, patients with mutations in the CP category demonstrated an elevated propensity for progressing to AP or BC. Consequently, these mutations bear clinical significance by providing insights into patients who fail to achieve optimal responses to TKIs [<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>]. Notably, the current therapeutic landscape offers a plethora of alternative options for TKI treatment contingent upon the specific mutations associated with TKI resistance [<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>]. Acquired mutations, in particular, interfere with TKI binding or result in diminished TKI sensitivity [<xref ref-type="bibr" rid="B34">34</xref>]. Notably, distinct mutations display varying degrees of sensitivity to TKIs, underscoring the importance of mutation detection in guiding TKI selection and influencing patient prognosis. These principles align with recommendations from both the European LeukemiaNet (ELN) and the National Comprehensive Cancer Network (NCCN), advocating the consideration of mutational profiles in the determination of subsequent therapy [<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B35">35</xref>].</p>
<p>It is noteworthy that, owing to the contribution of TKIs and an enhanced understanding of the influence of the BCR-ABL mutational profile on drug efficacy, CML is presently recognized as a chronic ailment. However, it remains pertinent to acknowledge that a subset of patients continues to experience disease progression. Consequently, there is an imperative need for further investigations elucidating the intricate interplay between genes and drugs, with the aim of achieving optimal coverage in the treatment of CML.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<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="s6">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the National Hematology and Transfusion Center Review Board. 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="s7">
<title>Author contributions</title>
<p>Collection of biospecimens, conducting laboratory work and completion of the project were carried out by AH. CA and AS played an important role in data analysis and selection of statistical methodology. NK, GA, and ZA made significant contributions to the conception and design of the study. The manuscript was written by AH and edited by GA. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="s8">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<ack>
<p>We are thankful to the patients who participated in this study and provided samples. The study was supported by the Scientific Research Institute of Hematology and Transfusion. Also, we express our deep gratitude to the employees of ATQ Biotechnology Laboratory operating in Ankara, T&#xfc;rkiye, for their support.</p>
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