Identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma

Abnormal levels of autophagy have been implicated in the pathogenesis of multiple diseases, including cancer. However, little is known about the role of autophagy-related genes (ARGs) in low-grade gliomas (LGG). Accordingly, the aims of this study were to assess the prognostic values of ARGs and to...

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Autores principales:	Shaobin Feng, Huiling Liu, Xushuai Dong, Peng Du, Qi Pang, Hua Guo
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	lower-grade glioma the cancer genome atlas chinese glioma genome atlas autophagy-related gene prognosis signature Biotechnology TP248.13-248.65
Acceso en línea:	https://doaj.org/article/9c0f1949a3024b71bc5d3ce8f6ef8239
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spelling	oai:doaj.org-article:9c0f1949a3024b71bc5d3ce8f6ef82392021-11-04T15:51:53ZIdentification and validation of an autophagy-related signature for predicting survival in lower-grade glioma2165-59792165-598710.1080/21655979.2021.1985818https://doaj.org/article/9c0f1949a3024b71bc5d3ce8f6ef82392021-10-01T00:00:00Zhttp://dx.doi.org/10.1080/21655979.2021.1985818https://doaj.org/toc/2165-5979https://doaj.org/toc/2165-5987Abnormal levels of autophagy have been implicated in the pathogenesis of multiple diseases, including cancer. However, little is known about the role of autophagy-related genes (ARGs) in low-grade gliomas (LGG). Accordingly, the aims of this study were to assess the prognostic values of ARGs and to establish a genetic signature for LGG prognosis. Expression profile data from patients with and without primary LGG were obtained from The Cancer Genome Atlas (TCGA) and Genome Tissue Expression databases, respectively, and consensus clustering was used to identify clusters of patients with distinct prognoses. Nineteen differentially expressed ARGs were selected with threshold values of FDR < 0.05 and \|log2 fold change (FC)\| ≥ 2, and functional analysis revealed that these genes were associated with autophagy processes as expected. An autophagy-related signature was established using a Cox regression model of six ARGs that separated patients from TCGA training cohort into high- and low-risk groups. Univariate and multivariate Cox regression analysis indicated that the signature-based risk score was an independent prognostic factor. The signature was successfully validated using the TCGA testing, TCGA entire, and Chinese Glioma Genome Atlas cohorts. Stratified analyses demonstrated that the signature was associated with clinical features and prognosis, and gene set enrichment analysis revealed that autophagy- and cancer-related pathways were more enriched in high-risk patients than in low-risk patients. The prognostic value and expression of the six signature-related genes were also investigated. Thus, the present study constructed and validated an autophagy-related prognostic signature that could optimize individualized survival prediction in LGG patients.Shaobin FengHuiling LiuXushuai DongPeng DuQi PangHua GuoTaylor & Francis Grouparticlelower-grade gliomathe cancer genome atlaschinese glioma genome atlasautophagy-related geneprognosis signatureBiotechnologyTP248.13-248.65ENBioengineered, Vol 0, Iss 0 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	lower-grade glioma the cancer genome atlas chinese glioma genome atlas autophagy-related gene prognosis signature Biotechnology TP248.13-248.65
spellingShingle	lower-grade glioma the cancer genome atlas chinese glioma genome atlas autophagy-related gene prognosis signature Biotechnology TP248.13-248.65 Shaobin Feng Huiling Liu Xushuai Dong Peng Du Qi Pang Hua Guo Identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma
description	Abnormal levels of autophagy have been implicated in the pathogenesis of multiple diseases, including cancer. However, little is known about the role of autophagy-related genes (ARGs) in low-grade gliomas (LGG). Accordingly, the aims of this study were to assess the prognostic values of ARGs and to establish a genetic signature for LGG prognosis. Expression profile data from patients with and without primary LGG were obtained from The Cancer Genome Atlas (TCGA) and Genome Tissue Expression databases, respectively, and consensus clustering was used to identify clusters of patients with distinct prognoses. Nineteen differentially expressed ARGs were selected with threshold values of FDR < 0.05 and \|log2 fold change (FC)\| ≥ 2, and functional analysis revealed that these genes were associated with autophagy processes as expected. An autophagy-related signature was established using a Cox regression model of six ARGs that separated patients from TCGA training cohort into high- and low-risk groups. Univariate and multivariate Cox regression analysis indicated that the signature-based risk score was an independent prognostic factor. The signature was successfully validated using the TCGA testing, TCGA entire, and Chinese Glioma Genome Atlas cohorts. Stratified analyses demonstrated that the signature was associated with clinical features and prognosis, and gene set enrichment analysis revealed that autophagy- and cancer-related pathways were more enriched in high-risk patients than in low-risk patients. The prognostic value and expression of the six signature-related genes were also investigated. Thus, the present study constructed and validated an autophagy-related prognostic signature that could optimize individualized survival prediction in LGG patients.
format	article
author	Shaobin Feng Huiling Liu Xushuai Dong Peng Du Qi Pang Hua Guo
author_facet	Shaobin Feng Huiling Liu Xushuai Dong Peng Du Qi Pang Hua Guo
author_sort	Shaobin Feng
title	Identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma
title_short	Identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma
title_full	Identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma
title_fullStr	Identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma
title_full_unstemmed	Identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma
title_sort	identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/9c0f1949a3024b71bc5d3ce8f6ef8239
work_keys_str_mv	AT shaobinfeng identificationandvalidationofanautophagyrelatedsignatureforpredictingsurvivalinlowergradeglioma AT huilingliu identificationandvalidationofanautophagyrelatedsignatureforpredictingsurvivalinlowergradeglioma AT xushuaidong identificationandvalidationofanautophagyrelatedsignatureforpredictingsurvivalinlowergradeglioma AT pengdu identificationandvalidationofanautophagyrelatedsignatureforpredictingsurvivalinlowergradeglioma AT qipang identificationandvalidationofanautophagyrelatedsignatureforpredictingsurvivalinlowergradeglioma AT huaguo identificationandvalidationofanautophagyrelatedsignatureforpredictingsurvivalinlowergradeglioma
_version_	1718444729710936064

Identification and validation of an autophagy-related signature for predicting survival in lower-grade glioma

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