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Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer

BACKGROUND INFORMATION: Prostate cancer (PCa) is a common disease but only a small subset of patients are at risk of developing metastasis and lethal disease, and identifying which patients will progress is challenging because of the heterogeneity underlying tumour progression. Understanding this he...

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Autores principales: Alshalalfa, Mohammed, Schliekelman, Mark, Shin, Heesun, Erho, Nicholas, Davicioni, Elai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744779/
https://www.ncbi.nlm.nih.gov/pubmed/25900404
http://dx.doi.org/10.1111/boc.201400097
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author Alshalalfa, Mohammed
Schliekelman, Mark
Shin, Heesun
Erho, Nicholas
Davicioni, Elai
author_facet Alshalalfa, Mohammed
Schliekelman, Mark
Shin, Heesun
Erho, Nicholas
Davicioni, Elai
author_sort Alshalalfa, Mohammed
collection PubMed
description BACKGROUND INFORMATION: Prostate cancer (PCa) is a common disease but only a small subset of patients are at risk of developing metastasis and lethal disease, and identifying which patients will progress is challenging because of the heterogeneity underlying tumour progression. Understanding this heterogeneity at the molecular level and the resulting clinical impact is a critical step necessary for risk stratification. Defining genomic fingerprint elucidates molecular variation and may improve PCa risk stratification, providing more accurate prognostic information of tumour aggressiveness (or lethality) for prognostic biomarker development. Therefore, we explored transcriptomic differences between patients with indolent disease outcome and patients who developed metastasis post‐radical prostatectomy using genome‐wide expression data in the post radical prostatectomy clinical space before metastatic spread. RESULTS: Based on differential expression analysis, patients with adverse pathological findings who are at higher risk of developing metastasis have a distinct transcriptomic fingerprint that can be detected on surgically removed prostate specimens several years before metastasis detection. Nearly half of the transcriptomic fingerprint features were non‐coding RNA highlighting their pivotal role in PCa progression. Protein‐coding RNA features in the fingerprint are involved in multiple pathways including cell cycle, chromosome structure maintenance and cytoskeleton organisation. The metastatic transcriptomic fingerprint was determined in independent cohorts verifying the association between the fingerprint and metastatic patients. Further, the fingerprint was confirmed in metastasis lesions demonstrating that the fingerprint represents early metastatic transcriptomic changes, suggesting its utility as a prognostic tool to predict metastasis and provide clinical value in the early radical prostatectomy setting. CONCLUSIONS: Here, we show that transcriptomic patterns of metastatic PCa exist that can be detected early after radical prostatectomy. This metastatic fingerprint has potential prognostic ability that can impact PCa treatment management potentially circumventing the requirements for unnecessary therapies.
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spelling pubmed-47447792016-02-18 Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer Alshalalfa, Mohammed Schliekelman, Mark Shin, Heesun Erho, Nicholas Davicioni, Elai Biol Cell Research Articles BACKGROUND INFORMATION: Prostate cancer (PCa) is a common disease but only a small subset of patients are at risk of developing metastasis and lethal disease, and identifying which patients will progress is challenging because of the heterogeneity underlying tumour progression. Understanding this heterogeneity at the molecular level and the resulting clinical impact is a critical step necessary for risk stratification. Defining genomic fingerprint elucidates molecular variation and may improve PCa risk stratification, providing more accurate prognostic information of tumour aggressiveness (or lethality) for prognostic biomarker development. Therefore, we explored transcriptomic differences between patients with indolent disease outcome and patients who developed metastasis post‐radical prostatectomy using genome‐wide expression data in the post radical prostatectomy clinical space before metastatic spread. RESULTS: Based on differential expression analysis, patients with adverse pathological findings who are at higher risk of developing metastasis have a distinct transcriptomic fingerprint that can be detected on surgically removed prostate specimens several years before metastasis detection. Nearly half of the transcriptomic fingerprint features were non‐coding RNA highlighting their pivotal role in PCa progression. Protein‐coding RNA features in the fingerprint are involved in multiple pathways including cell cycle, chromosome structure maintenance and cytoskeleton organisation. The metastatic transcriptomic fingerprint was determined in independent cohorts verifying the association between the fingerprint and metastatic patients. Further, the fingerprint was confirmed in metastasis lesions demonstrating that the fingerprint represents early metastatic transcriptomic changes, suggesting its utility as a prognostic tool to predict metastasis and provide clinical value in the early radical prostatectomy setting. CONCLUSIONS: Here, we show that transcriptomic patterns of metastatic PCa exist that can be detected early after radical prostatectomy. This metastatic fingerprint has potential prognostic ability that can impact PCa treatment management potentially circumventing the requirements for unnecessary therapies. John Wiley and Sons Inc. 2015-06-16 2015-07 /pmc/articles/PMC4744779/ /pubmed/25900404 http://dx.doi.org/10.1111/boc.201400097 Text en © 2015 The Authors. Biology of the Cell published by John Wiley & Sons Ltd on behalf of Société Française des Microscopies and Société de Biologie Cellulaire de France. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs (http://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Alshalalfa, Mohammed
Schliekelman, Mark
Shin, Heesun
Erho, Nicholas
Davicioni, Elai
Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer
title Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer
title_full Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer
title_fullStr Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer
title_full_unstemmed Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer
title_short Evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer
title_sort evolving transcriptomic fingerprint based on genome‐wide data as prognostic tools in prostate cancer
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744779/
https://www.ncbi.nlm.nih.gov/pubmed/25900404
http://dx.doi.org/10.1111/boc.201400097
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