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Экспрессия генов сомато-стволового перехода и макрофаг-ассоциированных генов в опухоли молочной железы Ю. А. Небова, М. К. Ибрагимова, М. М. Цыганов

By: Небова, Юлия АндреевнаContributor(s): Ибрагимова, Марина Константиновна | Цыганов, Матвей МихайловичMaterial type: ArticleArticleOther title: Expression of somatic-stem transition genes and macrophage-associated genes in breast tumor [Parallel title]Subject(s): опухоли молочной железы | экспрессия генов | рак молочной железы | гематогенные метастазы | неоадъювантная химиотерапияGenre/Form: статьи в сборниках Online resources: Click here to access online In: Перспективы развития фундаментальных наук. Т. 4 : сборник научных трудов XV Международной конференции студентов, аспирантов и молодых ученых, 24-27 апреля 2018 г Т. 4 : Биология и фундаментальная медицина. С. 110-112Abstract: In a study of breast cancer of 68 patients before and after neoadjuvant chemotherapy, overexpression in the residual tumor of 14/16 genes of the somato-stem transition was shown in patients with metastases that subsequently developed. This confirms our hypothesis about the important role of activation of the ability to somato-stem transition for tumor metastasis, which occurs under the influence of neoadjuvant chemotherapy. A new prognostic factor has been established, which makes it possible to predict the occurrence of hematogenous metastases with a sensitivity of 69%, a specificity of 94%, and a diagnostic accuracy of 82%.
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In a study of breast cancer of 68 patients before and after neoadjuvant chemotherapy, overexpression in the residual tumor of 14/16 genes of the somato-stem transition was shown in patients with metastases that subsequently developed. This confirms our hypothesis about the important role of activation of the ability to somato-stem transition for tumor metastasis, which occurs under the influence of neoadjuvant chemotherapy. A new prognostic factor has been established, which makes it possible to predict the occurrence of hematogenous metastases with a sensitivity of 69%, a specificity of 94%, and a diagnostic accuracy of 82%.

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