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The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer

Patient diagnosis and care would be significantly improved by understanding the mechanisms underlying platinum and taxane resistance in ovarian cancer. Here, we aim to establish a gene signature that can identify molecular pathways/transcription factors involved in ovarian cancer progression, poor c...

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Autores principales: Matondo, Abel, Jo, Yong Hwa, Shahid, Muhammad, Choi, Tae Gyu, Nguyen, Minh Nam, Nguyen, Ngoc Ngo Yen, Akter, Salima, Kang, Insug, Ha, Joohun, Maeng, Chi Hoon, Kim, Si-Young, Lee, Ju-seog, Kim, Jayoung, Kim, Sung Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575202/
https://www.ncbi.nlm.nih.gov/pubmed/28851888
http://dx.doi.org/10.1038/s41598-017-08766-5
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author Matondo, Abel
Jo, Yong Hwa
Shahid, Muhammad
Choi, Tae Gyu
Nguyen, Minh Nam
Nguyen, Ngoc Ngo Yen
Akter, Salima
Kang, Insug
Ha, Joohun
Maeng, Chi Hoon
Kim, Si-Young
Lee, Ju-seog
Kim, Jayoung
Kim, Sung Soo
author_facet Matondo, Abel
Jo, Yong Hwa
Shahid, Muhammad
Choi, Tae Gyu
Nguyen, Minh Nam
Nguyen, Ngoc Ngo Yen
Akter, Salima
Kang, Insug
Ha, Joohun
Maeng, Chi Hoon
Kim, Si-Young
Lee, Ju-seog
Kim, Jayoung
Kim, Sung Soo
author_sort Matondo, Abel
collection PubMed
description Patient diagnosis and care would be significantly improved by understanding the mechanisms underlying platinum and taxane resistance in ovarian cancer. Here, we aim to establish a gene signature that can identify molecular pathways/transcription factors involved in ovarian cancer progression, poor clinical outcome, and chemotherapy resistance. To validate the robustness of the gene signature, a meta-analysis approach was applied to 1,020 patients from 7 datasets. A 97-gene signature was identified as an independent predictor of patient survival in association with other clinicopathological factors in univariate [hazard ratio (HR): 3.0, 95% Confidence Interval (CI) 1.66–5.44, p = 2.7E-4] and multivariate [HR: 2.88, 95% CI 1.57–5.2, p = 0.001] analyses. Subset analyses demonstrated that the signature could predict patients who would attain complete or partial remission or no-response to first-line chemotherapy. Pathway analyses revealed that the signature was regulated by HIF1α and TP53 and included nine HIF1α-regulated genes, which were highly expressed in non-responders and partial remission patients than in complete remission patients. We present the 97-gene signature as an accurate prognostic predictor of overall survival and chemoresponse. Our signature also provides information on potential candidate target genes for future treatment efforts in ovarian cancer.
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spelling pubmed-55752022017-09-01 The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer Matondo, Abel Jo, Yong Hwa Shahid, Muhammad Choi, Tae Gyu Nguyen, Minh Nam Nguyen, Ngoc Ngo Yen Akter, Salima Kang, Insug Ha, Joohun Maeng, Chi Hoon Kim, Si-Young Lee, Ju-seog Kim, Jayoung Kim, Sung Soo Sci Rep Article Patient diagnosis and care would be significantly improved by understanding the mechanisms underlying platinum and taxane resistance in ovarian cancer. Here, we aim to establish a gene signature that can identify molecular pathways/transcription factors involved in ovarian cancer progression, poor clinical outcome, and chemotherapy resistance. To validate the robustness of the gene signature, a meta-analysis approach was applied to 1,020 patients from 7 datasets. A 97-gene signature was identified as an independent predictor of patient survival in association with other clinicopathological factors in univariate [hazard ratio (HR): 3.0, 95% Confidence Interval (CI) 1.66–5.44, p = 2.7E-4] and multivariate [HR: 2.88, 95% CI 1.57–5.2, p = 0.001] analyses. Subset analyses demonstrated that the signature could predict patients who would attain complete or partial remission or no-response to first-line chemotherapy. Pathway analyses revealed that the signature was regulated by HIF1α and TP53 and included nine HIF1α-regulated genes, which were highly expressed in non-responders and partial remission patients than in complete remission patients. We present the 97-gene signature as an accurate prognostic predictor of overall survival and chemoresponse. Our signature also provides information on potential candidate target genes for future treatment efforts in ovarian cancer. Nature Publishing Group UK 2017-08-29 /pmc/articles/PMC5575202/ /pubmed/28851888 http://dx.doi.org/10.1038/s41598-017-08766-5 Text en © The Author(s) 2017 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Matondo, Abel
Jo, Yong Hwa
Shahid, Muhammad
Choi, Tae Gyu
Nguyen, Minh Nam
Nguyen, Ngoc Ngo Yen
Akter, Salima
Kang, Insug
Ha, Joohun
Maeng, Chi Hoon
Kim, Si-Young
Lee, Ju-seog
Kim, Jayoung
Kim, Sung Soo
The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer
title The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer
title_full The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer
title_fullStr The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer
title_full_unstemmed The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer
title_short The Prognostic 97 Chemoresponse Gene Signature in Ovarian Cancer
title_sort prognostic 97 chemoresponse gene signature in ovarian cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575202/
https://www.ncbi.nlm.nih.gov/pubmed/28851888
http://dx.doi.org/10.1038/s41598-017-08766-5
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