Gene Expression Changes and Associated Pathways Involved in the Progression of Prostate Cancer Advanced Stages.

Autor:	Pudova EA; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia., Krasnov GS; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia., Kobelyatskaya AA; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia., Savvateeva MV; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia., Fedorova MS; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia., Pavlov VS; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia., Nyushko KM; National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia., Kaprin AD; National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia., Alekseev BY; National Medical Research Radiological Center, Ministry of Health of the Russian Federation, Moscow, Russia., Trofimov DY; National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov, Ministry of Health of the Russian Federation, Moscow, Russia., Sukhikh GT; National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I. Kulakov, Ministry of Health of the Russian Federation, Moscow, Russia., Snezhkina AV; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia., Kudryavtseva AV; Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia.
Jazyk:	angličtina
Zdroj:	Frontiers in genetics [Front Genet] 2021 Jan 21; Vol. 11, pp. 613162. Date of Electronic Publication: 2021 Jan 21 (Print Publication: 2020).
DOI:	10.3389/fgene.2020.613162
Abstrakt:	Prostate cancer (PC) is one of the most common cancers among men worldwide, and advanced PCs, such as locally advanced PC (LAPC) and castration-resistant PC (CRPC), present the greatest challenges in clinical management. Current indicators have limited capacity to predict the disease course; therefore, better prognostic markers are greatly needed. In this study, we performed a bioinformatic analysis of The Cancer Genome Atlas (TCGA) datasets, including RNA-Seq data from the prostate adenocarcinoma (PRAD; n = 55) and West Coast Dream Team - metastatic CRPC (WCDT-MCRPC; n = 84) projects, to evaluate the transcriptome changes associated with progression-free survival (PFS) for LAPC and CRPC, respectively. We identified the genes whose expression was positively/negatively correlated with PFS. In LAPC, the genes with the most significant negative correlations were ZC2HC1A , SQLE , and KIF11 , and the genes with the most significant positive correlations were SOD3 , LRRC26 , MIR22HG , MEG3 , and MIR29B2CHG . In CRPC, the most significant positive correlations were found for BET1 , CTAGE5 , IFNGR1 , and GIMAP6 , and the most significant negative correlations were found for CLPB , PRPF19 , ZNF610 , MPST , and LINC02001 . In addition, we performed a gene network interaction analysis using STRINGdb, which revealed a significant relationship between genes predominantly involved in the cell cycle and characterized by upregulated expression in early recurrence. Based on the results, we propose several genes that can be used as potential prognostic markers. Competing Interests: The reviewer AT declared a shared affiliation with two of the authors, GS and DT, to the handling editor at time of review. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. (Copyright © 2021 Pudova, Krasnov, Kobelyatskaya, Savvateeva, Fedorova, Pavlov, Nyushko, Kaprin, Alekseev, Trofimov, Sukhikh, Snezhkina and Kudryavtseva.)
Databáze:	MEDLINE
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