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Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden

BACKGROUND: Nonsynonymous tumor mutation burden (NSTMB) could affect the prognosis of esophageal cancer (EC) patients, but differentially expressed genes between EC patients with different NSTMB have not been explored. Our study aimed to compare differentially expressed genes between EC patients wit...

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Autores principales: Li, Jiawei, Chen, Haiqing, Guo, Haifa, Qiu, Mantang, Yang, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396386/
https://www.ncbi.nlm.nih.gov/pubmed/32558329
http://dx.doi.org/10.1111/1759-7714.13537
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author Li, Jiawei
Chen, Haiqing
Guo, Haifa
Qiu, Mantang
Yang, Fan
author_facet Li, Jiawei
Chen, Haiqing
Guo, Haifa
Qiu, Mantang
Yang, Fan
author_sort Li, Jiawei
collection PubMed
description BACKGROUND: Nonsynonymous tumor mutation burden (NSTMB) could affect the prognosis of esophageal cancer (EC) patients, but differentially expressed genes between EC patients with different NSTMB have not been explored. Our study aimed to compare differentially expressed genes between EC patients with different NSTMB (high vs. low). METHODS: RNA‐seq data for EC patients were downloaded from The Cancer Genome Atlas (TCGA). The edgeR package was used to identify differentially expressed genes between patients with different NSTMB. Cell type identification by estimating relative subsets of known RNA transcripts (CIBERSORT) software was employed to underscore immune cell differences between patients with different NSTMB. RESULTS: In total, we discovered 2215 differentially expressed genes between patients with different NSTMB, among which 842 genes were upregulated and 1373 downregulated in patients with high NSTMB. The differentially expressed genes were enriched in pathways such as heme binding and structural molecule activity. We built a logistic model that may be used to predict patients' NSTMB. We found that tumors with high NSTMB had a significantly higher percentage of resting natural killer (NK) cells than those with low NSTMB (P = 0.028). The percentages of regulatory T (Treg) and CD8(+) T cells were also higher in those with high NSTMB, although it was not statistically significant (P = 0.064 for Treg cells and P = 0.12 for CD8(+) T cells). CONCLUSIONS: NSTMB may cause changes in gene expression and immune cell infiltration in EC patients, and affect the overall survival of EC patients. KEY POINTS: Significant findings of the study: This study found differentially expressed genes and differences in infiltration of immune cells between esophageal cancer (EC) with different NSTMB. What this study adds: This study highlights differences between EC patients with different NSTMB.
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spelling pubmed-73963862020-08-06 Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden Li, Jiawei Chen, Haiqing Guo, Haifa Qiu, Mantang Yang, Fan Thorac Cancer Original Articles BACKGROUND: Nonsynonymous tumor mutation burden (NSTMB) could affect the prognosis of esophageal cancer (EC) patients, but differentially expressed genes between EC patients with different NSTMB have not been explored. Our study aimed to compare differentially expressed genes between EC patients with different NSTMB (high vs. low). METHODS: RNA‐seq data for EC patients were downloaded from The Cancer Genome Atlas (TCGA). The edgeR package was used to identify differentially expressed genes between patients with different NSTMB. Cell type identification by estimating relative subsets of known RNA transcripts (CIBERSORT) software was employed to underscore immune cell differences between patients with different NSTMB. RESULTS: In total, we discovered 2215 differentially expressed genes between patients with different NSTMB, among which 842 genes were upregulated and 1373 downregulated in patients with high NSTMB. The differentially expressed genes were enriched in pathways such as heme binding and structural molecule activity. We built a logistic model that may be used to predict patients' NSTMB. We found that tumors with high NSTMB had a significantly higher percentage of resting natural killer (NK) cells than those with low NSTMB (P = 0.028). The percentages of regulatory T (Treg) and CD8(+) T cells were also higher in those with high NSTMB, although it was not statistically significant (P = 0.064 for Treg cells and P = 0.12 for CD8(+) T cells). CONCLUSIONS: NSTMB may cause changes in gene expression and immune cell infiltration in EC patients, and affect the overall survival of EC patients. KEY POINTS: Significant findings of the study: This study found differentially expressed genes and differences in infiltration of immune cells between esophageal cancer (EC) with different NSTMB. What this study adds: This study highlights differences between EC patients with different NSTMB. John Wiley & Sons Australia, Ltd 2020-06-17 2020-08 /pmc/articles/PMC7396386/ /pubmed/32558329 http://dx.doi.org/10.1111/1759-7714.13537 Text en © 2020 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Li, Jiawei
Chen, Haiqing
Guo, Haifa
Qiu, Mantang
Yang, Fan
Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden
title Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden
title_full Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden
title_fullStr Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden
title_full_unstemmed Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden
title_short Characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden
title_sort characterization of gene expression profiles of esophageal cancer patients with different nonsynonymous tumor mutation burden
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396386/
https://www.ncbi.nlm.nih.gov/pubmed/32558329
http://dx.doi.org/10.1111/1759-7714.13537
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