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Oncology and Pharmacogenomics Insights in Polycystic Ovary Syndrome: An Integrative Analysis

Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovaries. Epidemiological findings revealed that women with PCOS are prone to develop certain cancer types due to their shared metabolic and endocrine abnorm...

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Autores principales: Yumiceba, Verónica, López-Cortés, Andrés, Pérez-Villa, Andy, Yumiseba, Iván, Guerrero, Santiago, García-Cárdenas, Jennyfer M., Armendáriz-Castillo, Isaac, Guevara-Ramírez, Patricia, Leone, Paola E., Zambrano, Ana Karina, Paz-y-Miño, César
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729301/
https://www.ncbi.nlm.nih.gov/pubmed/33329391
http://dx.doi.org/10.3389/fendo.2020.585130
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author Yumiceba, Verónica
López-Cortés, Andrés
Pérez-Villa, Andy
Yumiseba, Iván
Guerrero, Santiago
García-Cárdenas, Jennyfer M.
Armendáriz-Castillo, Isaac
Guevara-Ramírez, Patricia
Leone, Paola E.
Zambrano, Ana Karina
Paz-y-Miño, César
author_facet Yumiceba, Verónica
López-Cortés, Andrés
Pérez-Villa, Andy
Yumiseba, Iván
Guerrero, Santiago
García-Cárdenas, Jennyfer M.
Armendáriz-Castillo, Isaac
Guevara-Ramírez, Patricia
Leone, Paola E.
Zambrano, Ana Karina
Paz-y-Miño, César
author_sort Yumiceba, Verónica
collection PubMed
description Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovaries. Epidemiological findings revealed that women with PCOS are prone to develop certain cancer types due to their shared metabolic and endocrine abnormalities. However, the mechanism that relates PCOS and oncogenesis has not been addressed. Herein, in this review article the genomic status, transcriptional and protein profiles of 264 strongly PCOS related genes (PRG) were evaluated in endometrial cancer (EC), ovarian cancer (OV) and breast cancer (BC) exploring oncogenic databases. The genomic alterations of PRG were significantly higher when compared with a set of non-diseases genes in all cancer types. PTEN had the highest number of mutations in EC, TP53, in OC, and FSHR, in BC. Based on clinical data, women older than 50 years and Black or African American females carried the highest ratio of genomic alterations among all cancer types. The most altered signaling pathways were p53 in EC and OC, while Fc epsilon RI in BC. After evaluating PRG in normal and cancer tissue, downregulation of the differentially expressed genes was a common feature. Less than 30 proteins were up and downregulated in all cancer contexts. We identified 36 highly altered genes, among them 10 were shared between the three cancer types analyzed, which are involved in the cell proliferation regulation, response to hormone and to endogenous stimulus. Despite limited PCOS pharmacogenomics studies, 10 SNPs are reported to be associated with drug response. All were missense mutations, except for rs8111699, an intronic variant characterized as a regulatory element and presumably binding site for transcription factors. In conclusion, in silico analysis revealed key genes that might participate in PCOS and oncogenesis, which could aid in early cancer diagnosis. Pharmacogenomics efforts have implicated SNPs in drug response, yet still remain to be found.
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spelling pubmed-77293012020-12-15 Oncology and Pharmacogenomics Insights in Polycystic Ovary Syndrome: An Integrative Analysis Yumiceba, Verónica López-Cortés, Andrés Pérez-Villa, Andy Yumiseba, Iván Guerrero, Santiago García-Cárdenas, Jennyfer M. Armendáriz-Castillo, Isaac Guevara-Ramírez, Patricia Leone, Paola E. Zambrano, Ana Karina Paz-y-Miño, César Front Endocrinol (Lausanne) Endocrinology Polycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder characterized by hyperandrogenism, ovulatory dysfunction, and polycystic ovaries. Epidemiological findings revealed that women with PCOS are prone to develop certain cancer types due to their shared metabolic and endocrine abnormalities. However, the mechanism that relates PCOS and oncogenesis has not been addressed. Herein, in this review article the genomic status, transcriptional and protein profiles of 264 strongly PCOS related genes (PRG) were evaluated in endometrial cancer (EC), ovarian cancer (OV) and breast cancer (BC) exploring oncogenic databases. The genomic alterations of PRG were significantly higher when compared with a set of non-diseases genes in all cancer types. PTEN had the highest number of mutations in EC, TP53, in OC, and FSHR, in BC. Based on clinical data, women older than 50 years and Black or African American females carried the highest ratio of genomic alterations among all cancer types. The most altered signaling pathways were p53 in EC and OC, while Fc epsilon RI in BC. After evaluating PRG in normal and cancer tissue, downregulation of the differentially expressed genes was a common feature. Less than 30 proteins were up and downregulated in all cancer contexts. We identified 36 highly altered genes, among them 10 were shared between the three cancer types analyzed, which are involved in the cell proliferation regulation, response to hormone and to endogenous stimulus. Despite limited PCOS pharmacogenomics studies, 10 SNPs are reported to be associated with drug response. All were missense mutations, except for rs8111699, an intronic variant characterized as a regulatory element and presumably binding site for transcription factors. In conclusion, in silico analysis revealed key genes that might participate in PCOS and oncogenesis, which could aid in early cancer diagnosis. Pharmacogenomics efforts have implicated SNPs in drug response, yet still remain to be found. Frontiers Media S.A. 2020-10-26 /pmc/articles/PMC7729301/ /pubmed/33329391 http://dx.doi.org/10.3389/fendo.2020.585130 Text en Copyright © 2020 Yumiceba, López-Cortés, Pérez-Villa, Yumiseba, Guerrero, García-Cárdenas, Armendáriz-Castillo, Guevara-Ramírez, Leone, Zambrano and Paz-y-Miño http://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 Endocrinology
Yumiceba, Verónica
López-Cortés, Andrés
Pérez-Villa, Andy
Yumiseba, Iván
Guerrero, Santiago
García-Cárdenas, Jennyfer M.
Armendáriz-Castillo, Isaac
Guevara-Ramírez, Patricia
Leone, Paola E.
Zambrano, Ana Karina
Paz-y-Miño, César
Oncology and Pharmacogenomics Insights in Polycystic Ovary Syndrome: An Integrative Analysis
title Oncology and Pharmacogenomics Insights in Polycystic Ovary Syndrome: An Integrative Analysis
title_full Oncology and Pharmacogenomics Insights in Polycystic Ovary Syndrome: An Integrative Analysis
title_fullStr Oncology and Pharmacogenomics Insights in Polycystic Ovary Syndrome: An Integrative Analysis
title_full_unstemmed Oncology and Pharmacogenomics Insights in Polycystic Ovary Syndrome: An Integrative Analysis
title_short Oncology and Pharmacogenomics Insights in Polycystic Ovary Syndrome: An Integrative Analysis
title_sort oncology and pharmacogenomics insights in polycystic ovary syndrome: an integrative analysis
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729301/
https://www.ncbi.nlm.nih.gov/pubmed/33329391
http://dx.doi.org/10.3389/fendo.2020.585130
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