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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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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. |
format | Online Article Text |
id | pubmed-8036055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
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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