Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma

Researches have suggested that aerobic glycolysis can reflect the development and progression of most carcinomas. We aimed to investigate whether glycolysis-related genes (GRGs) are associated with overall survival in laryngeal squamous cell carcinoma (LSCC). Here, we identified differentially expre...

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Autores principales:	Hui-Ching Lau, Yujie Shen, Qiang Huang, Hui-Ying Huang, Liang Zhou
Formato:	article
Lenguaje:	EN
Publicado:	Taylor & Francis Group 2021
Materias:	laryngeal squamous cell carcinoma tcga geo prognosis gene signature Biotechnology TP248.13-248.65
Acceso en línea:	https://doaj.org/article/93e1872b1c7d4763bb6bebf590b614ab
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spelling	oai:doaj.org-article:93e1872b1c7d4763bb6bebf590b614ab2021-11-17T14:21:59ZGlycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma2165-59792165-598710.1080/21655979.2021.1980177https://doaj.org/article/93e1872b1c7d4763bb6bebf590b614ab2021-01-01T00:00:00Zhttp://dx.doi.org/10.1080/21655979.2021.1980177https://doaj.org/toc/2165-5979https://doaj.org/toc/2165-5987Researches have suggested that aerobic glycolysis can reflect the development and progression of most carcinomas. We aimed to investigate whether glycolysis-related genes (GRGs) are associated with overall survival in laryngeal squamous cell carcinoma (LSCC). Here, we identified differentially expressed GRGs in TCGA dataset and microarray sample of GSE27020 from GEO database. A set of two glycolytic gene signatures, including DDIT4 and PLOD2 was screened through Cox and Lasso regression. The risk score was calculated using the gene expression of the two GRGs. The high-risk group presented a poor prognosis through Kaplan–Meier method. The ROC curve indicated good prediction performance in survival based on the validation of four cohorts. Univariate and multivariate Cox regression analyses suggested that two-gene signature could be an independent risk factor in LSCC. A total of 17 LSCC patients were enrolled to clarify the genetic expression through using reverse transcription-polymerase chain reaction (RT-PCR). A visualized nomogram was then constructed to predict 1-, 3-, and 5-year overall survival. Taken together, two novel glycolytic gene signatures were discovered and validated, providing a potential therapeutic and overall survival (OS)-prediction biomarker for LSCC.Hui-Ching LauYujie ShenQiang HuangHui-Ying HuangLiang ZhouTaylor & Francis Grouparticlelaryngeal squamous cell carcinomatcgageoprognosisgene signatureBiotechnologyTP248.13-248.65ENBioengineered, Vol 12, Iss 1, Pp 8738-8752 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	laryngeal squamous cell carcinoma tcga geo prognosis gene signature Biotechnology TP248.13-248.65
spellingShingle	laryngeal squamous cell carcinoma tcga geo prognosis gene signature Biotechnology TP248.13-248.65 Hui-Ching Lau Yujie Shen Qiang Huang Hui-Ying Huang Liang Zhou Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma
description	Researches have suggested that aerobic glycolysis can reflect the development and progression of most carcinomas. We aimed to investigate whether glycolysis-related genes (GRGs) are associated with overall survival in laryngeal squamous cell carcinoma (LSCC). Here, we identified differentially expressed GRGs in TCGA dataset and microarray sample of GSE27020 from GEO database. A set of two glycolytic gene signatures, including DDIT4 and PLOD2 was screened through Cox and Lasso regression. The risk score was calculated using the gene expression of the two GRGs. The high-risk group presented a poor prognosis through Kaplan–Meier method. The ROC curve indicated good prediction performance in survival based on the validation of four cohorts. Univariate and multivariate Cox regression analyses suggested that two-gene signature could be an independent risk factor in LSCC. A total of 17 LSCC patients were enrolled to clarify the genetic expression through using reverse transcription-polymerase chain reaction (RT-PCR). A visualized nomogram was then constructed to predict 1-, 3-, and 5-year overall survival. Taken together, two novel glycolytic gene signatures were discovered and validated, providing a potential therapeutic and overall survival (OS)-prediction biomarker for LSCC.
format	article
author	Hui-Ching Lau Yujie Shen Qiang Huang Hui-Ying Huang Liang Zhou
author_facet	Hui-Ching Lau Yujie Shen Qiang Huang Hui-Ying Huang Liang Zhou
author_sort	Hui-Ching Lau
title	Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma
title_short	Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma
title_full	Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma
title_fullStr	Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma
title_full_unstemmed	Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma
title_sort	glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma
publisher	Taylor & Francis Group
publishDate	2021
url	https://doaj.org/article/93e1872b1c7d4763bb6bebf590b614ab
work_keys_str_mv	AT huichinglau glycolysisrelatedgeneexpressionsignatureinpredictingprognosisoflaryngealsquamouscellcarcinoma AT yujieshen glycolysisrelatedgeneexpressionsignatureinpredictingprognosisoflaryngealsquamouscellcarcinoma AT qianghuang glycolysisrelatedgeneexpressionsignatureinpredictingprognosisoflaryngealsquamouscellcarcinoma AT huiyinghuang glycolysisrelatedgeneexpressionsignatureinpredictingprognosisoflaryngealsquamouscellcarcinoma AT liangzhou glycolysisrelatedgeneexpressionsignatureinpredictingprognosisoflaryngealsquamouscellcarcinoma
_version_	1718425430421143552

Glycolysis related gene expression signature in predicting prognosis of laryngeal squamous cell carcinoma

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