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The molecular profile of a tumor is associated with its histological type and can be used both to study the mechanisms of tumor progression and to diagnose it. In this work, changes in the lipid profile of a malignant breast tumor and the adjacent tissue were studied. The potential possibility of determining the histological type of the tumor by its lipid profile was evaluated. Lipid profiling was performed by reverse-phase chromato-mass-spectrometric analysis the tissue of lipid extract with identification of lipids by characteristic fragments. Potential lipid markers of the histological type of tumor were determined using the Kruskal-Wallis test. Impact of lipid markers was calculated by MetaboAnalyst. Classification models were built by support vector machines with linear kernel and 1-vs-1 architecture. Models were validated by leave-one out cross-validation. Accuracy of models based on microenvironment tissue, were 99% and 75%, accuracy of models, based on tumor tissue, were 90% and 40% for the positive ion mode and negative ion mode respectively. The lipid profile of marginal (adjacent) tissue can be used for identification histological types of breast cancer. Glycerophospholipid metabolism pathway changes were statistically significant in the adjacent tissue and tumor tissue.Molekuliarnyĭ profil' opukholi assotsiirovan s ee gistologicheskim tipom i mozhet byt' ispol'zovan kak dlia izucheniia mekhanizmov progressirovaniia opukholi, tak i dlia ee diagnostiki. V dannoĭ rabote issledovali izmeneniia lipidnogo profilia zlokachestvennoĭ opukholi molochnoĭ zhelezy i pogranichnoĭ s opukhol'iu tkani v kontekste vozmozhnosti opredeleniia gistologicheskogo tipa opukholi po lipidnomu profiliu tkani. Lipidnoe profilirovanie vypolniali, ispol'zuia obratno-fazovyĭ khromato-mass-spektrometricheskiĭ analiz lipidnogo ékstrakta tkaneĭ s identifikatsieĭ lipidov po kharakternym fragmentam. Potentsial'nye lipidnye markery gistologicheskogo tipa opukholi opredeliali c ispol'zovaniem testa Kruskalla-Uollisa. Vliianie potentsial'nykh markerov na metabolicheskie puti otsenivali s ispol'zovaniem vozmozhnosteĭ MetaboAnalyst. Dlia postroeniia klassifitsiruiushchikh modeleĭ ispol'zovali mashinu opornykh vektorov s arkhitekturoĭ 1-protiv-1 i lineĭnym iadrom. Validatsiiu modeli osushchestvliali s ispol'zovaniem kross-validatsii po otdel'nomu ob"ektu. Modeli na osnove lipidomnogo profilia pogranichnykh tkaneĭ imeli tochnost' 99% i 75%, modeli na osnove lipidomnogo profilia opukholevykh tkaneĭ 90% i 40% dlia rezhima polozhitel'nykh ionov i rezhima otritsatel'nykh ionov sootvetstvenno. Lipidnyĭ profil' pogranichnykh tkaneĭ mozhet byt' ispol'zovan dlia opredeleniia gistologicheskogo tipa opukholi pri rake molochnoĭ zhelezy. V pogranichnoĭ tkani i v opukholevoĭ statisticheski znachimo izmeniaiutsia puti metabolizma glitserofosfolipidov.