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Identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence
The diverse clinical outcomes of prostate cancer have led to the development of gene signature assays predicting disease progression. Improved prostate cancer progression biomarkers are needed as current RNA biomarker tests have varying success for intermediate prostate cancer. Interest grows in uni...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641020/ https://www.ncbi.nlm.nih.gov/pubmed/37965470 http://dx.doi.org/10.3389/fonc.2023.1280943 |
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author | Lautert-Dutra, William Melo, Camila M. Chaves, Luiz P. Souza, Francisco C. Crozier, Cheryl Sundby, Adam E. Woroszchuk, Elizabeth Saggioro, Fabiano P. Avante, Filipe S. dos Reis, Rodolfo B. Squire, Jeremy A. Bayani, Jane |
author_facet | Lautert-Dutra, William Melo, Camila M. Chaves, Luiz P. Souza, Francisco C. Crozier, Cheryl Sundby, Adam E. Woroszchuk, Elizabeth Saggioro, Fabiano P. Avante, Filipe S. dos Reis, Rodolfo B. Squire, Jeremy A. Bayani, Jane |
author_sort | Lautert-Dutra, William |
collection | PubMed |
description | The diverse clinical outcomes of prostate cancer have led to the development of gene signature assays predicting disease progression. Improved prostate cancer progression biomarkers are needed as current RNA biomarker tests have varying success for intermediate prostate cancer. Interest grows in universal gene signatures for invasive carcinoma progression. Early breast and prostate cancers share characteristics, including hormone dependence and BRCA1/2 mutations. Given the similarities in the pathobiology of breast and prostate cancer, we utilized the NanoString BC360 panel, comprising the validated PAM50 classifier and pathway-specific signatures associated with general tumor progression as well as breast cancer-specific classifiers. This retrospective cohort of primary prostate cancers (n=53) was stratified according to biochemical recurrence (BCR) status and the CAPRA-S to identify genes related to high-risk disease. Two public cohort (TCGA-PRAD and GSE54460) were used to validate the results. Expression profiling of our cohort uncovered associations between PIP and INHBA with BCR and high CAPRA-S score, as well as associations between VCAN, SFRP2, and THBS4 and BCR. Despite low levels of the ESR1 gene compared to AR, we found strong expression of the ER signaling signature, suggesting that BCR may be driven by ER-mediated pathways. Kaplan-Meier and univariate Cox proportional hazards regression analysis indicated the expression of ESR1, PGR, VCAN, and SFRP2 could predict the occurrence of relapse events. This is in keeping with the pathways represented by these genes which contribute to angiogenesis and the epithelial-mesenchymal transition. It is likely that VCAN works by activating the stroma and remodeling the tumor microenvironment. Additionally, SFRP2 overexpression has been associated with increased tumor size and reduced survival rates in breast cancer and among prostate cancer patients who experienced BCR. ESR1 influences disease progression by activating stroma, stimulating stem/progenitor prostate cancer, and inducing TGF-β. Estrogen signaling may therefore serve as a surrogate to AR signaling during progression and in hormone-refractory disease, particularly in prostate cancer patients with stromal-rich tumors. Collectively, the use of agnostic biomarkers developed for breast cancer stratification has facilitated a precise clinical classification of patients undergoing radical prostatectomy and highlighted the therapeutic potential of targeting estrogen signaling in prostate cancer. |
format | Online Article Text |
id | pubmed-10641020 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106410202023-11-14 Identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence Lautert-Dutra, William Melo, Camila M. Chaves, Luiz P. Souza, Francisco C. Crozier, Cheryl Sundby, Adam E. Woroszchuk, Elizabeth Saggioro, Fabiano P. Avante, Filipe S. dos Reis, Rodolfo B. Squire, Jeremy A. Bayani, Jane Front Oncol Oncology The diverse clinical outcomes of prostate cancer have led to the development of gene signature assays predicting disease progression. Improved prostate cancer progression biomarkers are needed as current RNA biomarker tests have varying success for intermediate prostate cancer. Interest grows in universal gene signatures for invasive carcinoma progression. Early breast and prostate cancers share characteristics, including hormone dependence and BRCA1/2 mutations. Given the similarities in the pathobiology of breast and prostate cancer, we utilized the NanoString BC360 panel, comprising the validated PAM50 classifier and pathway-specific signatures associated with general tumor progression as well as breast cancer-specific classifiers. This retrospective cohort of primary prostate cancers (n=53) was stratified according to biochemical recurrence (BCR) status and the CAPRA-S to identify genes related to high-risk disease. Two public cohort (TCGA-PRAD and GSE54460) were used to validate the results. Expression profiling of our cohort uncovered associations between PIP and INHBA with BCR and high CAPRA-S score, as well as associations between VCAN, SFRP2, and THBS4 and BCR. Despite low levels of the ESR1 gene compared to AR, we found strong expression of the ER signaling signature, suggesting that BCR may be driven by ER-mediated pathways. Kaplan-Meier and univariate Cox proportional hazards regression analysis indicated the expression of ESR1, PGR, VCAN, and SFRP2 could predict the occurrence of relapse events. This is in keeping with the pathways represented by these genes which contribute to angiogenesis and the epithelial-mesenchymal transition. It is likely that VCAN works by activating the stroma and remodeling the tumor microenvironment. Additionally, SFRP2 overexpression has been associated with increased tumor size and reduced survival rates in breast cancer and among prostate cancer patients who experienced BCR. ESR1 influences disease progression by activating stroma, stimulating stem/progenitor prostate cancer, and inducing TGF-β. Estrogen signaling may therefore serve as a surrogate to AR signaling during progression and in hormone-refractory disease, particularly in prostate cancer patients with stromal-rich tumors. Collectively, the use of agnostic biomarkers developed for breast cancer stratification has facilitated a precise clinical classification of patients undergoing radical prostatectomy and highlighted the therapeutic potential of targeting estrogen signaling in prostate cancer. Frontiers Media S.A. 2023-10-26 /pmc/articles/PMC10641020/ /pubmed/37965470 http://dx.doi.org/10.3389/fonc.2023.1280943 Text en Copyright © 2023 Lautert-Dutra, Melo, Chaves, Souza, Crozier, Sundby, Woroszchuk, Saggioro, Avante, dos Reis, Squire and Bayani https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Lautert-Dutra, William Melo, Camila M. Chaves, Luiz P. Souza, Francisco C. Crozier, Cheryl Sundby, Adam E. Woroszchuk, Elizabeth Saggioro, Fabiano P. Avante, Filipe S. dos Reis, Rodolfo B. Squire, Jeremy A. Bayani, Jane Identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence |
title | Identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence |
title_full | Identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence |
title_fullStr | Identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence |
title_full_unstemmed | Identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence |
title_short | Identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence |
title_sort | identification of tumor-agnostic biomarkers for predicting prostate cancer progression and biochemical recurrence |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641020/ https://www.ncbi.nlm.nih.gov/pubmed/37965470 http://dx.doi.org/10.3389/fonc.2023.1280943 |
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