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Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer

Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prog...

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Autores principales: Wu, Zonglong, Wang, Muru, Liu, Qinggang, Liu, Yaxiao, Zhu, Kejia, Chen, Lipeng, Guo, Hongda, Li, Yan, Shi, Benkang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945555/
https://www.ncbi.nlm.nih.gov/pubmed/31929742
http://dx.doi.org/10.7150/ijms.39056
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author Wu, Zonglong
Wang, Muru
Liu, Qinggang
Liu, Yaxiao
Zhu, Kejia
Chen, Lipeng
Guo, Hongda
Li, Yan
Shi, Benkang
author_facet Wu, Zonglong
Wang, Muru
Liu, Qinggang
Liu, Yaxiao
Zhu, Kejia
Chen, Lipeng
Guo, Hongda
Li, Yan
Shi, Benkang
author_sort Wu, Zonglong
collection PubMed
description Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prognosis. Identify the different expressed genes and immune cell infiltration signatures between low and high TMB group. Mutation data, gene expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Patients were divided into high and low TMB groups, allowing differentially expressed genes (DEGs) to be identified. Functional enrichment and protein-protein interaction (PPI) network analysis were used to identify the functions of the DEGs. And immune cell infiltration signatures were evaluated by CIBERSORT algorithm. These results shown that high TMB was significantly associated with prognosis. We obtained a list of TMB related genes which may influence the infiltrations of immune cells. We also found a higher proportion of CD8 T cells, CD4 T cells and NK cells in the high TMB group. Our data suggest that higher TMB tends to promote the infiltrations of T cells and NK cells and patients with higher TMB may achieve a more favorable prognosis in bladder cancer.
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spelling pubmed-69455552020-01-10 Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer Wu, Zonglong Wang, Muru Liu, Qinggang Liu, Yaxiao Zhu, Kejia Chen, Lipeng Guo, Hongda Li, Yan Shi, Benkang Int J Med Sci Research Paper Bladder cancer is one of the most commonly diagnosed tumors and is results from the accumulation of somatic mutations in the DNA. Tumor mutation burden (TMB) has been associated with cancer immunotherapeutic response. In this study, we attempted to explore the correlation between TMB and cancer prognosis. Identify the different expressed genes and immune cell infiltration signatures between low and high TMB group. Mutation data, gene expression profiles and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. Patients were divided into high and low TMB groups, allowing differentially expressed genes (DEGs) to be identified. Functional enrichment and protein-protein interaction (PPI) network analysis were used to identify the functions of the DEGs. And immune cell infiltration signatures were evaluated by CIBERSORT algorithm. These results shown that high TMB was significantly associated with prognosis. We obtained a list of TMB related genes which may influence the infiltrations of immune cells. We also found a higher proportion of CD8 T cells, CD4 T cells and NK cells in the high TMB group. Our data suggest that higher TMB tends to promote the infiltrations of T cells and NK cells and patients with higher TMB may achieve a more favorable prognosis in bladder cancer. Ivyspring International Publisher 2020-01-01 /pmc/articles/PMC6945555/ /pubmed/31929742 http://dx.doi.org/10.7150/ijms.39056 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Wu, Zonglong
Wang, Muru
Liu, Qinggang
Liu, Yaxiao
Zhu, Kejia
Chen, Lipeng
Guo, Hongda
Li, Yan
Shi, Benkang
Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer
title Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer
title_full Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer
title_fullStr Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer
title_full_unstemmed Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer
title_short Identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer
title_sort identification of gene expression profiles and immune cell infiltration signatures between low and high tumor mutation burden groups in bladder cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6945555/
https://www.ncbi.nlm.nih.gov/pubmed/31929742
http://dx.doi.org/10.7150/ijms.39056
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