Investigation of the Role of PUFA Metabolism in Breast Cancer Using a Rank-Based Random Forest Algorithm

Авторы: Guryleva Mariia V., Penzar Dmitry D., Chistyakov Dmitry V., Mironov Andrey A., Favorov Alexander V., Sergeeva Marina G.
Журнал: Cancers
Том: 14
Номер: 19
Год издания: 2022
Издательство: MDPI
Местоположение издательства: Basel, Switzerland
Номер статьи: 4663
DOI: 10.3390/cancers14194663
Аннотация: Polyunsaturated fatty acids (PUFAs) and their derivatives, oxylipins, are a constant focus of cancer research due to the relationship between cancer and processes of energy metabolism and inflammation, where a PUFA system is an active player. Only recently have methods been developed that allow for studying such complex systems. Using the Rank-based Random Forest (RF) model, we show that PUFA metabolism genes are critical for the pathogenesis of breast cancer (BC); BC subtypes differ in PUFA metabolism gene expression. The enrichment of BC subtypes with various genes associated with oxylipin signaling pathways indicates a different contribution of these compounds to the biology of subtypes.
Добавил в систему: Чистяков Дмитрий Викторович

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