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A five-gene signature for predicting overall survival of esophagus adenocarcinoma

Esophageal adenocarcinoma (EAC) is common and aggressive with increasing trend of incidence. Urgent need for an effective signature to assess EAC prognosis and facilitate tailored treatment is required. Differentially expressed mRNAs (DEMs) were identified by analyzing EAC tissues and adjacent norma...

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Autores principales: Lan, Tian, Liu, Weiguo, Lu, Yunyan, Luo, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036055/
https://www.ncbi.nlm.nih.gov/pubmed/33832101
http://dx.doi.org/10.1097/MD.0000000000025305
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author Lan, Tian
Liu, Weiguo
Lu, Yunyan
Luo, Hua
author_facet Lan, Tian
Liu, Weiguo
Lu, Yunyan
Luo, Hua
author_sort Lan, Tian
collection PubMed
description Esophageal adenocarcinoma (EAC) is common and aggressive with increasing trend of incidence. Urgent need for an effective signature to assess EAC prognosis and facilitate tailored treatment is required. Differentially expressed mRNAs (DEMs) were identified by analyzing EAC tissues and adjacent normal samples from The Cancer Genome Atlas (TCGA). Then univariate regression analyses were performed to confirm prognostic DEMs. We used least absolute shrinkage and selection operator (LASSO) to build a prognostic mRNA signature whose performance was assessed by Kaplan–Meier curve, receiver operating characteristic (ROC). GSE72874 were used as an external test set. The performances of the signature were also validated in internal TCGA and external test sets. Gene set enrichment analysis (GSEA) and tumor immunity analysis were performed to decipher the biological mechanisms of the signature. A 5-mRNA signature consisted of SLC26A9, SINHCAF, MICB, KRT19, and MT1X was developed to predict prognosis of EAC. The 5-mRNA signature was promising as a biomarker for predicting 3-year survival rate of EAC in the internal test set, the entire TCGA set, and the external test set with areas under the curve (AUC) = 0.849, 0.924, and 0.747, respectively. Patients were divided into low- and high-risk groups based on risk scores of the signature. The high-risk group was mainly associated with cancer-related pathways and low levels of B cell infiltration. The 5-mRNA prognostic signature we identified can reliably predict prognosis and facilitate individualized treatment decisions for EAC patients.
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spelling pubmed-80360552021-04-13 A five-gene signature for predicting overall survival of esophagus adenocarcinoma Lan, Tian Liu, Weiguo Lu, Yunyan Luo, Hua Medicine (Baltimore) 5700 Esophageal adenocarcinoma (EAC) is common and aggressive with increasing trend of incidence. Urgent need for an effective signature to assess EAC prognosis and facilitate tailored treatment is required. Differentially expressed mRNAs (DEMs) were identified by analyzing EAC tissues and adjacent normal samples from The Cancer Genome Atlas (TCGA). Then univariate regression analyses were performed to confirm prognostic DEMs. We used least absolute shrinkage and selection operator (LASSO) to build a prognostic mRNA signature whose performance was assessed by Kaplan–Meier curve, receiver operating characteristic (ROC). GSE72874 were used as an external test set. The performances of the signature were also validated in internal TCGA and external test sets. Gene set enrichment analysis (GSEA) and tumor immunity analysis were performed to decipher the biological mechanisms of the signature. A 5-mRNA signature consisted of SLC26A9, SINHCAF, MICB, KRT19, and MT1X was developed to predict prognosis of EAC. The 5-mRNA signature was promising as a biomarker for predicting 3-year survival rate of EAC in the internal test set, the entire TCGA set, and the external test set with areas under the curve (AUC) = 0.849, 0.924, and 0.747, respectively. Patients were divided into low- and high-risk groups based on risk scores of the signature. The high-risk group was mainly associated with cancer-related pathways and low levels of B cell infiltration. The 5-mRNA prognostic signature we identified can reliably predict prognosis and facilitate individualized treatment decisions for EAC patients. Lippincott Williams & Wilkins 2021-04-09 /pmc/articles/PMC8036055/ /pubmed/33832101 http://dx.doi.org/10.1097/MD.0000000000025305 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle 5700
Lan, Tian
Liu, Weiguo
Lu, Yunyan
Luo, Hua
A five-gene signature for predicting overall survival of esophagus adenocarcinoma
title A five-gene signature for predicting overall survival of esophagus adenocarcinoma
title_full A five-gene signature for predicting overall survival of esophagus adenocarcinoma
title_fullStr A five-gene signature for predicting overall survival of esophagus adenocarcinoma
title_full_unstemmed A five-gene signature for predicting overall survival of esophagus adenocarcinoma
title_short A five-gene signature for predicting overall survival of esophagus adenocarcinoma
title_sort five-gene signature for predicting overall survival of esophagus adenocarcinoma
topic 5700
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036055/
https://www.ncbi.nlm.nih.gov/pubmed/33832101
http://dx.doi.org/10.1097/MD.0000000000025305
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