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Transcriptome Profiling of Prostate Cancer, Considering Risk Groups and the TMPRSS2-ERG Molecular Subtype.
Kobelyatskaya, Anastasiya A; Pudova, Elena A; Katunina, Irina V; Snezhkina, Anastasiya V; Fedorova, Maria S; Pavlov, Vladislav S; Kotelnikova, Anastasiya O; Nyushko, Kirill M; Alekseev, Boris Y; Krasnov, George S; Kudryavtseva, Anna V.
Afiliación
  • Kobelyatskaya AA; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
  • Pudova EA; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
  • Katunina IV; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
  • Snezhkina AV; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
  • Fedorova MS; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
  • Pavlov VS; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
  • Kotelnikova AO; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
  • Nyushko KM; National Medical Research Radiological Center, Ministry of Health of the Russian Federation, 125284 Moscow, Russia.
  • Alekseev BY; National Medical Research Radiological Center, Ministry of Health of the Russian Federation, 125284 Moscow, Russia.
  • Krasnov GS; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
  • Kudryavtseva AV; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.
Int J Mol Sci ; 24(11)2023 May 25.
Article en En | MEDLINE | ID: mdl-37298233
ABSTRACT
Molecular heterogeneity in prostate cancer (PCa) is one of the key reasons underlying the differing likelihoods of recurrence after surgical treatment in individual patients of the same clinical category. In this study, we performed RNA-Seq profiling of 58 localized PCa and 43 locally advanced PCa tissue samples obtained as a result of radical prostatectomy on a cohort of Russian patients. Based on bioinformatics analysis, we examined features of the transcriptome profiles within the high-risk group, including within the most commonly represented molecular subtype, TMPRSS2-ERG. The most significantly affected biological processes in the samples were also identified, so that they may be further studied in the search for new potential therapeutic targets for the categories of PCa under consideration. The highest predictive potential was found with the EEF1A1P5, RPLP0P6, ZNF483, CIBAR1, HECTD2, OGN, and CLIC4 genes. We also reviewed the main transcriptome changes in the groups at intermediate risk of PCa-Gleason Score 7 (groups 2 and 3 according to the ISUP classification)-on the basis of which the LPL, MYC, and TWIST1 genes were identified as promising additional prognostic markers, the statistical significance of which was confirmed using qPCR validation.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Int J Mol Sci Año: 2023 Tipo del documento: Article País de afiliación: Rusia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias de la Próstata Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Revista: Int J Mol Sci Año: 2023 Tipo del documento: Article País de afiliación: Rusia