A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma

Background: Various studies have suggested that the DNA methylation signatures were promising to identify novel hallmarks for predicting prognosis of cancer. However, few studies have explored the capacity of DNA methylation for prognostic prediction in patients with kidney renal clear cell carcino...

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Autores principales:	Xiuxian Zhu, Xianxiong Ma, Chuanqing Wu
Formato:	article
Lenguaje:	EN
Publicado:	AIMS Press 2021
Materias:	signature dna methylation kidney renal clear cell carcinoma recurrence free survival nomogram Biotechnology TP248.13-248.65 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/5e485a02c01147638ee473f11af2acd3
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spelling	oai:doaj.org-article:5e485a02c01147638ee473f11af2acd32021-11-29T01:18:55ZA methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma10.3934/mbe.20214241551-0018https://doaj.org/article/5e485a02c01147638ee473f11af2acd32021-10-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021424?viewType=HTMLhttps://doaj.org/toc/1551-0018Background: Various studies have suggested that the DNA methylation signatures were promising to identify novel hallmarks for predicting prognosis of cancer. However, few studies have explored the capacity of DNA methylation for prognostic prediction in patients with kidney renal clear cell carcinoma (KIRC). It's very promising to develop a methylomics-related signature for predicting prognosis of KIRC. Methods: The 282 patients with complete DNA methylation data and corresponding clinical information were selected to construct the prognostic model. The 282 patients were grouped into a training set (70%, n = 198 samples) to determine a prognostic predictor by univariate Cox proportional hazard analysis, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. The internal validation set (30%, n = 84) and an external validation set (E-MTAB-3274) were used to validate the predictive value of the predictor by receiver operating characteristic (ROC) analysis and Kaplan–Meier survival analysis. Results: We successfully identified a 9-DNA methylation signature for recurrence free survival (RFS) of KIRC patients. We proved the strong robustness of the 9-DNA methylation signature for predicting RFS through ROC analysis (AUC at 1, 3, 5 years in internal dataset (0.859, 0.840, 0.817, respectively), external validation dataset (0.674, 0.739, 0.793, respectively), entire TCGA dataset (0.834, 0.862, 0.842, respectively)). In addition, a nomogram combining methylation risk score with the conventional clinic-related covariates was constructed to improve the prognostic predicted ability for KIRC patients. The result implied a good performance of the nomogram. Conclusions: we successfully identified a DNA methylation-associated nomogram, which was helpful in improving the prognostic predictive ability of KIRC patients.Xiuxian ZhuXianxiong MaChuanqing WuAIMS Pressarticlesignaturedna methylationkidney renal clear cell carcinomarecurrence free survivalnomogramBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 8559-8576 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	signature dna methylation kidney renal clear cell carcinoma recurrence free survival nomogram Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	signature dna methylation kidney renal clear cell carcinoma recurrence free survival nomogram Biotechnology TP248.13-248.65 Mathematics QA1-939 Xiuxian Zhu Xianxiong Ma Chuanqing Wu A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma
description	Background: Various studies have suggested that the DNA methylation signatures were promising to identify novel hallmarks for predicting prognosis of cancer. However, few studies have explored the capacity of DNA methylation for prognostic prediction in patients with kidney renal clear cell carcinoma (KIRC). It's very promising to develop a methylomics-related signature for predicting prognosis of KIRC. Methods: The 282 patients with complete DNA methylation data and corresponding clinical information were selected to construct the prognostic model. The 282 patients were grouped into a training set (70%, n = 198 samples) to determine a prognostic predictor by univariate Cox proportional hazard analysis, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. The internal validation set (30%, n = 84) and an external validation set (E-MTAB-3274) were used to validate the predictive value of the predictor by receiver operating characteristic (ROC) analysis and Kaplan–Meier survival analysis. Results: We successfully identified a 9-DNA methylation signature for recurrence free survival (RFS) of KIRC patients. We proved the strong robustness of the 9-DNA methylation signature for predicting RFS through ROC analysis (AUC at 1, 3, 5 years in internal dataset (0.859, 0.840, 0.817, respectively), external validation dataset (0.674, 0.739, 0.793, respectively), entire TCGA dataset (0.834, 0.862, 0.842, respectively)). In addition, a nomogram combining methylation risk score with the conventional clinic-related covariates was constructed to improve the prognostic predicted ability for KIRC patients. The result implied a good performance of the nomogram. Conclusions: we successfully identified a DNA methylation-associated nomogram, which was helpful in improving the prognostic predictive ability of KIRC patients.
format	article
author	Xiuxian Zhu Xianxiong Ma Chuanqing Wu
author_facet	Xiuxian Zhu Xianxiong Ma Chuanqing Wu
author_sort	Xiuxian Zhu
title	A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma
title_short	A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma
title_full	A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma
title_fullStr	A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma
title_full_unstemmed	A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma
title_sort	methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/5e485a02c01147638ee473f11af2acd3
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A methylomics-correlated nomogram predicts the recurrence free survival risk of kidney renal clear cell carcinoma

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