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A methylomics-associated nomogram predicts the overall survival risk of stage III to IV ovarian cancer

Accumulating studies demonstrated that DNA methylation may be potential prognostic hallmarks of various cancers. However, few studies have focused on the power of DNA methylation for prognostic prediction in patients with stage III to IV ovarian cancer (OC). Therefore, constructing a methylomics-rel...

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Autores principales: Wei, Xuan, Hu, Wencheng, Mao, Kexi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901957/
https://www.ncbi.nlm.nih.gov/pubmed/36749233
http://dx.doi.org/10.1097/MD.0000000000032766
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author Wei, Xuan
Hu, Wencheng
Mao, Kexi
author_facet Wei, Xuan
Hu, Wencheng
Mao, Kexi
author_sort Wei, Xuan
collection PubMed
description Accumulating studies demonstrated that DNA methylation may be potential prognostic hallmarks of various cancers. However, few studies have focused on the power of DNA methylation for prognostic prediction in patients with stage III to IV ovarian cancer (OC). Therefore, constructing a methylomics-related indicator to predict overall survival (OS) of stage III to IV OC was urgently required. A total of 520 OC patients with 485,577 DNA methylation sites from TCGA database were selected to develop a robust DNA methylation signature. The 520 patients were clustered into a training group (70%, n = 364 samples) and an internal validation group (30%, n = 156). The training group was used for digging a prognostic predictor based on univariate Cox proportional hazard analysis, least absolute shrinkage and selection operator (LASSO) as well as multivariate Cox regression analysis. The internal and external validation group (ICGC OV-AU project) were used for validating the predictive robustness of the predictor based on receiver operating characteristic (ROC) analysis and Kaplan–Meier survival analysis. We identified a 21-DNA methylation signature-based classifier for stage III-IV OC patients’ OS. According to ROC analysis in the internal validation, external validation and entire TCGA set, we proved the high power of the 21-DNA methylation signature for predicting OS (area under the curve [AUC] at 1, 3, 5 years in internal validation set (0.782, 0.739, 0.777, respectively), external validation set (0.828, 0.760, 0.741, respectively), entire TCGA set (0.741, 0.748, 0.781, respectively). Besides, a nomogram was developed via methylation risk score as well as a few clinical variables, and the result showed a high ability of the predictive nomogram. In summary, we used integrated bioinformatics approaches to successfully identified a DNA methylation-associated nomogram, which can predict effectively the OS of patients with stage III to IV OC.
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spelling pubmed-99019572023-02-08 A methylomics-associated nomogram predicts the overall survival risk of stage III to IV ovarian cancer Wei, Xuan Hu, Wencheng Mao, Kexi Medicine (Baltimore) 5700 Accumulating studies demonstrated that DNA methylation may be potential prognostic hallmarks of various cancers. However, few studies have focused on the power of DNA methylation for prognostic prediction in patients with stage III to IV ovarian cancer (OC). Therefore, constructing a methylomics-related indicator to predict overall survival (OS) of stage III to IV OC was urgently required. A total of 520 OC patients with 485,577 DNA methylation sites from TCGA database were selected to develop a robust DNA methylation signature. The 520 patients were clustered into a training group (70%, n = 364 samples) and an internal validation group (30%, n = 156). The training group was used for digging a prognostic predictor based on univariate Cox proportional hazard analysis, least absolute shrinkage and selection operator (LASSO) as well as multivariate Cox regression analysis. The internal and external validation group (ICGC OV-AU project) were used for validating the predictive robustness of the predictor based on receiver operating characteristic (ROC) analysis and Kaplan–Meier survival analysis. We identified a 21-DNA methylation signature-based classifier for stage III-IV OC patients’ OS. According to ROC analysis in the internal validation, external validation and entire TCGA set, we proved the high power of the 21-DNA methylation signature for predicting OS (area under the curve [AUC] at 1, 3, 5 years in internal validation set (0.782, 0.739, 0.777, respectively), external validation set (0.828, 0.760, 0.741, respectively), entire TCGA set (0.741, 0.748, 0.781, respectively). Besides, a nomogram was developed via methylation risk score as well as a few clinical variables, and the result showed a high ability of the predictive nomogram. In summary, we used integrated bioinformatics approaches to successfully identified a DNA methylation-associated nomogram, which can predict effectively the OS of patients with stage III to IV OC. Lippincott Williams & Wilkins 2023-02-03 /pmc/articles/PMC9901957/ /pubmed/36749233 http://dx.doi.org/10.1097/MD.0000000000032766 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle 5700
Wei, Xuan
Hu, Wencheng
Mao, Kexi
A methylomics-associated nomogram predicts the overall survival risk of stage III to IV ovarian cancer
title A methylomics-associated nomogram predicts the overall survival risk of stage III to IV ovarian cancer
title_full A methylomics-associated nomogram predicts the overall survival risk of stage III to IV ovarian cancer
title_fullStr A methylomics-associated nomogram predicts the overall survival risk of stage III to IV ovarian cancer
title_full_unstemmed A methylomics-associated nomogram predicts the overall survival risk of stage III to IV ovarian cancer
title_short A methylomics-associated nomogram predicts the overall survival risk of stage III to IV ovarian cancer
title_sort methylomics-associated nomogram predicts the overall survival risk of stage iii to iv ovarian cancer
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901957/
https://www.ncbi.nlm.nih.gov/pubmed/36749233
http://dx.doi.org/10.1097/MD.0000000000032766
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