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<article article-type="review-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">farmaec</journal-id><journal-title-group><journal-title xml:lang="en">FARMAKOEKONOMIKA. Modern Pharmacoeconomics and Pharmacoepidemiology</journal-title><trans-title-group xml:lang="ru"><trans-title>ФАРМАКОЭКОНОМИКА. Современная фармакоэкономика и фармакоэпидемиология</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2070-4909</issn><issn pub-type="epub">2070-4933</issn><publisher><publisher-name>IRBIS LLC</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17749/2070-4909/farmakoekonomika.2023.169</article-id><article-id custom-type="elpub" pub-id-type="custom">farmaec-777</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REVIEW ARTICLES</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ОБЗОРНЫЕ ПУБЛИКАЦИИ</subject></subj-group></article-categories><title-group><article-title>Prospects for using high-throughput sequencing methods to identify new biomarkers of response and resistance to antitumor therapy</article-title><trans-title-group xml:lang="ru"><trans-title>Перспективы использования методов высокопроизводительного секвенирования для поиска новых биомаркеров ответа и резистентности к противоопухолевой терапии</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1541-9480</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сорокина</surname><given-names>М. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Sorokina</surname><given-names>M. А.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сорокина Мария Андреевна – аспирант кафедры фармакологии ФГБОУ ВО «Ивановская государственная медицинская академия» Минздрава России, аналитик Нейрокампуса-2030 «Российский национальный исследовательский медицинский университет им. Н.И. Пирогова» Минздрава России</p><p>Scopus Author ID: 57226747037</p><p>Шереметевский пр-т, д. 8, Иваново 153012</p><p>ул. Островитянова, д. 1, Москва 117997</p></bio><bio xml:lang="en"><p>Maria A. Sorokina – Postgraduate, Chair of Pharmacology, Ivanovo State Medical Academy; Analyst, Neurocampus-2030, Pirogov Russian National Research Medical University</p><p>Scopus Author ID: 57226747037</p><p>8 Sheremetevskiy Ave., Ivanovo 153012</p><p>1 Ostrovityanov Str., Moscow 117997</p></bio><email xlink:type="simple">sorokina.dgoi@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1665-1188</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гришина</surname><given-names>Т. Р.</given-names></name><name name-style="western" xml:lang="en"><surname>Grishina</surname><given-names>T. R.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гришина Татьяна Романовна – д.м.н., профессор, заведующая кафедрой фармакологии</p><p>Шереметевский пр-т, д. 8, Иваново 153012</p></bio><bio xml:lang="en"><p>Tatiana R. Grishina – Dr. Med. Sc., Professor, Chief of Chair of Pharmacology</p><p>8 Sheremetevskiy Ave., Ivanovo 153012</p></bio><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Федеральное государственное бюджетное образовательное учреждение высшего образования «Ивановская государственная медицинская академия» Министерства здравоохранения Российской Федерации; Федеральное государственное бюджетное образовательное учреждение высшего образования «Российский национальный исследовательский медицинский университет им. Н.И. Пирогова» Министерства здравоохранения Российской Федерации<country>Россия</country></aff><aff xml:lang="en">Ivanovo State Medical Academy; Pirogov Russian National Research Medical University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Федеральное государственное бюджетное образовательное учреждение высшего образования «Ивановская государственная медицинская академия» Министерства здравоохранения Российской Федерации<country>Россия</country></aff><aff xml:lang="en">Ivanovo State Medical Academy<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>27</day><month>03</month><year>2023</year></pub-date><volume>16</volume><issue>1</issue><elocation-id>126–133</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Sorokina M.А., Grishina T.R., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Сорокина М.А., Гришина Т.Р.</copyright-holder><copyright-holder xml:lang="en">Sorokina M.А., Grishina T.R.</copyright-holder><license license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.pharmacoeconomics.ru/jour/article/view/777">https://www.pharmacoeconomics.ru/jour/article/view/777</self-uri><abstract><p>High-throughput next-generation sequencing (NGS) technologies such as whole exome sequencing (WES) and bulk RNA sequencing (RNA-seq) allow identification of the new biomarkers of response and resistance to antitumor therapy. Retrospective studies have shown that the state of the tumor microenvironment (TME), identified via RNA-seq, is an independent prognostic and predictive biomarker. WES and RNA-seq technologies, along with classical immunohistochemistry, provide a comprehensive analysis of the tumor and TME. Affordability of high-throughput sequencing will enable personalization of antitumor pharmacotherapy.</p></abstract><trans-abstract xml:lang="ru"><p>Технологии высокопроизводительного секвенирования (англ. next-generation sequencing, NGS), такие как полноэкзомное секвенирование (англ. whole exome sequencing, WES) и секвенирование тотальной РНК (англ. bulk RNA sequencing, RNA-seq), позволяют идентифицировать новые биомаркеры ответа и резистентности к противоопухолевой терапии. Ретроспективные исследования показали, что состояние опухолевого микроокружения (англ. tumor microenvironment, TME), установленное с помощью RNA-seq, является независимым прогностическим и предиктивным биомаркером. Технологии WES и RNA-seq наряду с классической иммуногистохимией позволяют максимально всесторонне проанализировать опухоль и TME. Все большая доступность NGS открывает новые возможности для персонализированного назначения противоопухолевой фармакотерапии.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>биомаркеры</kwd><kwd>микроокружение опухоли</kwd><kwd>геномика</kwd><kwd>транскриптомика</kwd><kwd>иммуногистохимия.</kwd></kwd-group><kwd-group xml:lang="en"><kwd>biomarkers</kwd><kwd>tumor microenvironment</kwd><kwd>genomics</kwd><kwd>transcriptomics</kwd><kwd>immunohistochemistry</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Работа выполнена за счет гранта Российского научного фонда (проект № 23-21-00154 «Разработка методов прогноза свойств фармакологических препаратов по их молекулярной структуре с помощью теории топологического анализа хемографов»), ФИЦ ИУ РАН.</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>The work was supported by a grant of the Russian Science Foundation (project No. 23-21-00154 “Development of methods for predicting the properties of pharmacological preparations based on their molecular structure using the theory of topological analysis of chemographs”), FRC IU RAS.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Han Y., Liu D., Li L. 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