A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma

Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer with heterogeneous outcomes and diverse therapeutic responses. To classify patients into different groups and facilitate the suitable therapeutic strategy, we first selected eight microRNA (miRNA) signatures in The Cancer Genome At...

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Autores principales:	Jun Wu, Yuqing Lou, Yi-Min Ma, Jun Xu, Tieliu Shi
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	lung adenocarcinoma microRNA signature risk-score model overall survival time treatment response Genetics QH426-470
Acceso en línea:	https://doaj.org/article/75a39b50df66461f896dbb8c418416d8
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spelling	oai:doaj.org-article:75a39b50df66461f896dbb8c418416d82021-11-12T06:24:24ZA Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma1664-802110.3389/fgene.2021.741112https://doaj.org/article/75a39b50df66461f896dbb8c418416d82021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.741112/fullhttps://doaj.org/toc/1664-8021Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer with heterogeneous outcomes and diverse therapeutic responses. To classify patients into different groups and facilitate the suitable therapeutic strategy, we first selected eight microRNA (miRNA) signatures in The Cancer Genome Atlas (TCGA)-LUAD cohort based on multi-strategy combination, including differential expression analysis, regulatory relationship, univariate survival analysis, importance clustering, and multivariate combinations analysis. Using the eight miRNA signatures, we further built novel risk scores based on the predefined cutoff and beta coefficients and divided the patients into high-risk and low-risk groups with significantly different overall survival time (p-value < 2 e−16). The risk-score model was confirmed with an independent dataset (p-value = 4.71 e−4). We also observed that the risk scores of early-stage patients were significantly lower than those of late-stage patients. Moreover, our model can also provide new insights into the current clinical staging system and can be regarded as an alternative system for patient stratification. This model unified the variable value as the beta coefficient facilitating the integration of biomarkers obtained from different omics data.Jun WuYuqing LouYi-Min MaJun XuTieliu ShiTieliu ShiFrontiers Media S.A.articlelung adenocarcinomamicroRNA signaturerisk-score modeloverall survival timetreatment responseGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	lung adenocarcinoma microRNA signature risk-score model overall survival time treatment response Genetics QH426-470
spellingShingle	lung adenocarcinoma microRNA signature risk-score model overall survival time treatment response Genetics QH426-470 Jun Wu Yuqing Lou Yi-Min Ma Jun Xu Tieliu Shi Tieliu Shi A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
description	Lung adenocarcinoma (LUAD) is the most common subtype of lung cancer with heterogeneous outcomes and diverse therapeutic responses. To classify patients into different groups and facilitate the suitable therapeutic strategy, we first selected eight microRNA (miRNA) signatures in The Cancer Genome Atlas (TCGA)-LUAD cohort based on multi-strategy combination, including differential expression analysis, regulatory relationship, univariate survival analysis, importance clustering, and multivariate combinations analysis. Using the eight miRNA signatures, we further built novel risk scores based on the predefined cutoff and beta coefficients and divided the patients into high-risk and low-risk groups with significantly different overall survival time (p-value < 2 e−16). The risk-score model was confirmed with an independent dataset (p-value = 4.71 e−4). We also observed that the risk scores of early-stage patients were significantly lower than those of late-stage patients. Moreover, our model can also provide new insights into the current clinical staging system and can be regarded as an alternative system for patient stratification. This model unified the variable value as the beta coefficient facilitating the integration of biomarkers obtained from different omics data.
format	article
author	Jun Wu Yuqing Lou Yi-Min Ma Jun Xu Tieliu Shi Tieliu Shi
author_facet	Jun Wu Yuqing Lou Yi-Min Ma Jun Xu Tieliu Shi Tieliu Shi
author_sort	Jun Wu
title	A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
title_short	A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
title_full	A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
title_fullStr	A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
title_full_unstemmed	A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma
title_sort	novel risk-score model with eight mirna signatures for overall survival of patients with lung adenocarcinoma
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/75a39b50df66461f896dbb8c418416d8
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A Novel Risk-Score Model With Eight MiRNA Signatures for Overall Survival of Patients With Lung Adenocarcinoma

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