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Transcriptome Profiling of Prostate Cancer, Considering Risk Groups and the TMPRSS2-ERG Molecular Subtype

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 t...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253008/
https://www.ncbi.nlm.nih.gov/pubmed/37298233
http://dx.doi.org/10.3390/ijms24119282
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author 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.
author_facet 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.
author_sort Kobelyatskaya, Anastasiya A.
collection PubMed
description 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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spelling pubmed-102530082023-06-10 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. Int J Mol Sci Article 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. MDPI 2023-05-25 /pmc/articles/PMC10253008/ /pubmed/37298233 http://dx.doi.org/10.3390/ijms24119282 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
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.
Transcriptome Profiling of Prostate Cancer, Considering Risk Groups and the TMPRSS2-ERG Molecular Subtype
title Transcriptome Profiling of Prostate Cancer, Considering Risk Groups and the TMPRSS2-ERG Molecular Subtype
title_full Transcriptome Profiling of Prostate Cancer, Considering Risk Groups and the TMPRSS2-ERG Molecular Subtype
title_fullStr Transcriptome Profiling of Prostate Cancer, Considering Risk Groups and the TMPRSS2-ERG Molecular Subtype
title_full_unstemmed Transcriptome Profiling of Prostate Cancer, Considering Risk Groups and the TMPRSS2-ERG Molecular Subtype
title_short Transcriptome Profiling of Prostate Cancer, Considering Risk Groups and the TMPRSS2-ERG Molecular Subtype
title_sort transcriptome profiling of prostate cancer, considering risk groups and the tmprss2-erg molecular subtype
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10253008/
https://www.ncbi.nlm.nih.gov/pubmed/37298233
http://dx.doi.org/10.3390/ijms24119282
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