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Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review
BACKGROUND: Diagnosis of metastatic castrate resistant prostate cancer (mCRPC) with current biomarkers is difficult and often results in unnecessary invasive procedures as well as over-diagnosis and over-treatment. There are a number of prognostic biomarkers for CRPC, but there are no validated pred...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448351/ https://www.ncbi.nlm.nih.gov/pubmed/32863768 http://dx.doi.org/10.1186/s12935-020-01508-0 |
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author | Tian, Shengri Lei, Zhen Gong, Zuo Sun, Zhonghai Xu, Dongyuan Piao, Minhu |
author_facet | Tian, Shengri Lei, Zhen Gong, Zuo Sun, Zhonghai Xu, Dongyuan Piao, Minhu |
author_sort | Tian, Shengri |
collection | PubMed |
description | BACKGROUND: Diagnosis of metastatic castrate resistant prostate cancer (mCRPC) with current biomarkers is difficult and often results in unnecessary invasive procedures as well as over-diagnosis and over-treatment. There are a number of prognostic biomarkers for CRPC, but there are no validated predictive biomarkers to guide in clinical decision-making. Specific biomarkers are needed that enable to understand the natural history and complex biology of this heterogeneous malignancy, identify early response to treatment outcomes and to identify the population of men most likely to benefit from the treatment. In this systematic review, we discuss the existing literature for the role of biomarkers in CRPC and how they aid in the prognosis, treatment selection and survival outcomes. METHODS: We performed a literature search on PubMed and EMBASE databases from January 2015 through February 2020 in accordance to Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Articles were assessed to identify relevant observational studies and randomized controlled trials regarding biomarkers which aid in identifying progression to mCRPC as well as predictive biomarkers which help in treatment selection. RESULTS: We identified 3640 number of hits of which 58 articles were found to be relevant. Here we addressed biomarkers in the context of prognosis, prediction and patient selection of therapy. These biomarkers were found to be effective as prognostic or predictive factors under variety of conditions. The higher levels for all these biomarkers were associated with shorter median OS and sometimes PFS. Lower amounts of biomarkers in serum or urine were associated with prolonged survival outcomes, longer time to CRPC development or CRPC progression and longer median follow-up irrespective of any therapy. CONCLUSION: We observed that the biomarkers included in our study predicted clinically relevant survival outcomes and treatment exposure. Though the current biomarkers are prognostic when measured prior to initiating treatment, not all are validated as predictive markers in post treatment setting. A greater understanding of biomarkers in CRPC is need of the hour for development of more personalized approach to maximize benefit and minimize harm in men with CRPC. |
format | Online Article Text |
id | pubmed-7448351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74483512020-08-27 Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review Tian, Shengri Lei, Zhen Gong, Zuo Sun, Zhonghai Xu, Dongyuan Piao, Minhu Cancer Cell Int Review BACKGROUND: Diagnosis of metastatic castrate resistant prostate cancer (mCRPC) with current biomarkers is difficult and often results in unnecessary invasive procedures as well as over-diagnosis and over-treatment. There are a number of prognostic biomarkers for CRPC, but there are no validated predictive biomarkers to guide in clinical decision-making. Specific biomarkers are needed that enable to understand the natural history and complex biology of this heterogeneous malignancy, identify early response to treatment outcomes and to identify the population of men most likely to benefit from the treatment. In this systematic review, we discuss the existing literature for the role of biomarkers in CRPC and how they aid in the prognosis, treatment selection and survival outcomes. METHODS: We performed a literature search on PubMed and EMBASE databases from January 2015 through February 2020 in accordance to Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Articles were assessed to identify relevant observational studies and randomized controlled trials regarding biomarkers which aid in identifying progression to mCRPC as well as predictive biomarkers which help in treatment selection. RESULTS: We identified 3640 number of hits of which 58 articles were found to be relevant. Here we addressed biomarkers in the context of prognosis, prediction and patient selection of therapy. These biomarkers were found to be effective as prognostic or predictive factors under variety of conditions. The higher levels for all these biomarkers were associated with shorter median OS and sometimes PFS. Lower amounts of biomarkers in serum or urine were associated with prolonged survival outcomes, longer time to CRPC development or CRPC progression and longer median follow-up irrespective of any therapy. CONCLUSION: We observed that the biomarkers included in our study predicted clinically relevant survival outcomes and treatment exposure. Though the current biomarkers are prognostic when measured prior to initiating treatment, not all are validated as predictive markers in post treatment setting. A greater understanding of biomarkers in CRPC is need of the hour for development of more personalized approach to maximize benefit and minimize harm in men with CRPC. BioMed Central 2020-08-26 /pmc/articles/PMC7448351/ /pubmed/32863768 http://dx.doi.org/10.1186/s12935-020-01508-0 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Review Tian, Shengri Lei, Zhen Gong, Zuo Sun, Zhonghai Xu, Dongyuan Piao, Minhu Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review |
title | Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review |
title_full | Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review |
title_fullStr | Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review |
title_full_unstemmed | Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review |
title_short | Clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review |
title_sort | clinical implication of prognostic and predictive biomarkers for castration-resistant prostate cancer: a systematic review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7448351/ https://www.ncbi.nlm.nih.gov/pubmed/32863768 http://dx.doi.org/10.1186/s12935-020-01508-0 |
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