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Lifetime ovulatory years and ovarian cancer gene expression profiles

BACKGROUND: Greater ovulatory years is associated with increased ovarian cancer risk. Although ovulation leads to an acute pro-inflammatory local environment, how long-term exposure to ovulation impacts ovarian carcinogenesis is not fully understood. Thus, we examined the association between gene ex...

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Autores principales: Sasamoto, Naoko, Stewart, Paul A., Wang, Tianyi, Yoder, Sean J., Chellappan, Srikumar, Hecht, Jonathan L., Fridley, Brooke L., Terry, Kathryn L., Tworoger, Shelley S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102743/
https://www.ncbi.nlm.nih.gov/pubmed/35562768
http://dx.doi.org/10.1186/s13048-022-00995-1
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author Sasamoto, Naoko
Stewart, Paul A.
Wang, Tianyi
Yoder, Sean J.
Chellappan, Srikumar
Hecht, Jonathan L.
Fridley, Brooke L.
Terry, Kathryn L.
Tworoger, Shelley S.
author_facet Sasamoto, Naoko
Stewart, Paul A.
Wang, Tianyi
Yoder, Sean J.
Chellappan, Srikumar
Hecht, Jonathan L.
Fridley, Brooke L.
Terry, Kathryn L.
Tworoger, Shelley S.
author_sort Sasamoto, Naoko
collection PubMed
description BACKGROUND: Greater ovulatory years is associated with increased ovarian cancer risk. Although ovulation leads to an acute pro-inflammatory local environment, how long-term exposure to ovulation impacts ovarian carcinogenesis is not fully understood. Thus, we examined the association between gene expression profiles of ovarian tumors and lifetime ovulatory years to enhance understanding of associated biological pathways. METHODS: RNA sequencing data was generated on 234 invasive ovarian cancer tumors that were high-grade serous, poorly differentiated, or high-grade endometrioid from the Nurses’ Health Study (NHS), NHSII, and the New England Case Control Study. We used linear regression to identify differentially expressed genes by estimated ovulatory years, adjusted for birth decade and cohort, overall and stratified by menopausal status at diagnosis. We used false discovery rates (FDR) to account for multiple testing. Gene set enrichment analysis (GSEA) with Cancer Hallmarks, KEGG, and Reactome databases was used to identify biological pathways associated with ovulatory years. RESULTS: No individual genes were significantly differentially expressed by ovulatory years (FDR > 0.19). However, GSEA identified several pathways that were significantly associated with ovulatory years, including downregulation of pathways related to inflammation and proliferation (FDR < 1.0 × 10(–5)). Greater ovulatory years were more strongly associated with downregulation of genes related to proliferation (e.g., E2F targets, FDR = 1.53 × 10(–24); G2M checkpoints, FDR = 3.50 × 10(–22)) among premenopausal versus postmenopausal women at diagnosis. The association of greater ovulatory years with downregulation of genes involved in inflammatory response such as interferon gamma response pathways (FDR = 7.81 × 10(–17)) was stronger in postmenopausal women. CONCLUSIONS: Our results provide novel insight into the biological pathways that link ovulatory years to ovarian carcinogenesis, which may lead to development of targeted prevention strategies for ovarian cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13048-022-00995-1.
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spelling pubmed-91027432022-05-14 Lifetime ovulatory years and ovarian cancer gene expression profiles Sasamoto, Naoko Stewart, Paul A. Wang, Tianyi Yoder, Sean J. Chellappan, Srikumar Hecht, Jonathan L. Fridley, Brooke L. Terry, Kathryn L. Tworoger, Shelley S. J Ovarian Res Research BACKGROUND: Greater ovulatory years is associated with increased ovarian cancer risk. Although ovulation leads to an acute pro-inflammatory local environment, how long-term exposure to ovulation impacts ovarian carcinogenesis is not fully understood. Thus, we examined the association between gene expression profiles of ovarian tumors and lifetime ovulatory years to enhance understanding of associated biological pathways. METHODS: RNA sequencing data was generated on 234 invasive ovarian cancer tumors that were high-grade serous, poorly differentiated, or high-grade endometrioid from the Nurses’ Health Study (NHS), NHSII, and the New England Case Control Study. We used linear regression to identify differentially expressed genes by estimated ovulatory years, adjusted for birth decade and cohort, overall and stratified by menopausal status at diagnosis. We used false discovery rates (FDR) to account for multiple testing. Gene set enrichment analysis (GSEA) with Cancer Hallmarks, KEGG, and Reactome databases was used to identify biological pathways associated with ovulatory years. RESULTS: No individual genes were significantly differentially expressed by ovulatory years (FDR > 0.19). However, GSEA identified several pathways that were significantly associated with ovulatory years, including downregulation of pathways related to inflammation and proliferation (FDR < 1.0 × 10(–5)). Greater ovulatory years were more strongly associated with downregulation of genes related to proliferation (e.g., E2F targets, FDR = 1.53 × 10(–24); G2M checkpoints, FDR = 3.50 × 10(–22)) among premenopausal versus postmenopausal women at diagnosis. The association of greater ovulatory years with downregulation of genes involved in inflammatory response such as interferon gamma response pathways (FDR = 7.81 × 10(–17)) was stronger in postmenopausal women. CONCLUSIONS: Our results provide novel insight into the biological pathways that link ovulatory years to ovarian carcinogenesis, which may lead to development of targeted prevention strategies for ovarian cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13048-022-00995-1. BioMed Central 2022-05-13 /pmc/articles/PMC9102743/ /pubmed/35562768 http://dx.doi.org/10.1186/s13048-022-00995-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Research
Sasamoto, Naoko
Stewart, Paul A.
Wang, Tianyi
Yoder, Sean J.
Chellappan, Srikumar
Hecht, Jonathan L.
Fridley, Brooke L.
Terry, Kathryn L.
Tworoger, Shelley S.
Lifetime ovulatory years and ovarian cancer gene expression profiles
title Lifetime ovulatory years and ovarian cancer gene expression profiles
title_full Lifetime ovulatory years and ovarian cancer gene expression profiles
title_fullStr Lifetime ovulatory years and ovarian cancer gene expression profiles
title_full_unstemmed Lifetime ovulatory years and ovarian cancer gene expression profiles
title_short Lifetime ovulatory years and ovarian cancer gene expression profiles
title_sort lifetime ovulatory years and ovarian cancer gene expression profiles
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9102743/
https://www.ncbi.nlm.nih.gov/pubmed/35562768
http://dx.doi.org/10.1186/s13048-022-00995-1
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