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S100A11: A Potential Carcinogen and Prognostic Marker That Correlates with the Immunosuppressive Microenvironment in Pan-Cancer

S100 calcium-binding protein A11 (S100A11) has been proved to be an oncogene of most tumors. However, its role in the tumor microenvironment (TME) in pan-cancer stills remains poorly understood. This study used public data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx)...

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Autores principales: Ji, Xiaozhen, Qin, Xin, Huang, Xiuming, Wang, Wei, Li, Huiyan, Zheng, Chuizhi, Huang, Yanjing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809332/
https://www.ncbi.nlm.nih.gov/pubmed/36605485
http://dx.doi.org/10.7150/jca.78011
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author Ji, Xiaozhen
Qin, Xin
Huang, Xiuming
Wang, Wei
Li, Huiyan
Zheng, Chuizhi
Huang, Yanjing
author_facet Ji, Xiaozhen
Qin, Xin
Huang, Xiuming
Wang, Wei
Li, Huiyan
Zheng, Chuizhi
Huang, Yanjing
author_sort Ji, Xiaozhen
collection PubMed
description S100 calcium-binding protein A11 (S100A11) has been proved to be an oncogene of most tumors. However, its role in the tumor microenvironment (TME) in pan-cancer stills remains poorly understood. This study used public data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database to evaluate the expression of S100A11. The R package “GSVA” was used for Gene set variation analysis (GSVA) of S100A11. The R package “ESTIMATE” was used to further explore the relationship between S100A11 and TME. The Genomics of Drug Sensitivity in Cancer database was used to investigate the effect of S100A11 on the efficiency of anticancer drugs. We found S100A11 expression was upregulated in most tumors and predicted a poor prognosis. Furthermore, S100A11 expression was closely associated with immune regulation-related pathways. Moreover, S100A11 expression in pan-cancer was significantly related to most immunosuppressive cells, such as tumor-associated macrophages (TAM), tumor-associated fibroblasts (TAF), and Treg cells. The expression of S100A11 was significantly related to immunosuppressive genes and immune checkpoints in most tumor types. Additionally, the upregulation of S100A11 expression made patients with cancer resistant to the treatment of most anticancer drugs, such as sorafenib. In brief, our study showed that S100A11 could be used as a potential carcinogen and prognostic marker for most tumor types. The increased expression of S100A11 was closely related to tumor immunosuppressive TME. The upregulation of S100A11 expression made patients with cancer resistant to sorafenib treatment.
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spelling pubmed-98093322023-01-04 S100A11: A Potential Carcinogen and Prognostic Marker That Correlates with the Immunosuppressive Microenvironment in Pan-Cancer Ji, Xiaozhen Qin, Xin Huang, Xiuming Wang, Wei Li, Huiyan Zheng, Chuizhi Huang, Yanjing J Cancer Research Paper S100 calcium-binding protein A11 (S100A11) has been proved to be an oncogene of most tumors. However, its role in the tumor microenvironment (TME) in pan-cancer stills remains poorly understood. This study used public data from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database to evaluate the expression of S100A11. The R package “GSVA” was used for Gene set variation analysis (GSVA) of S100A11. The R package “ESTIMATE” was used to further explore the relationship between S100A11 and TME. The Genomics of Drug Sensitivity in Cancer database was used to investigate the effect of S100A11 on the efficiency of anticancer drugs. We found S100A11 expression was upregulated in most tumors and predicted a poor prognosis. Furthermore, S100A11 expression was closely associated with immune regulation-related pathways. Moreover, S100A11 expression in pan-cancer was significantly related to most immunosuppressive cells, such as tumor-associated macrophages (TAM), tumor-associated fibroblasts (TAF), and Treg cells. The expression of S100A11 was significantly related to immunosuppressive genes and immune checkpoints in most tumor types. Additionally, the upregulation of S100A11 expression made patients with cancer resistant to the treatment of most anticancer drugs, such as sorafenib. In brief, our study showed that S100A11 could be used as a potential carcinogen and prognostic marker for most tumor types. The increased expression of S100A11 was closely related to tumor immunosuppressive TME. The upregulation of S100A11 expression made patients with cancer resistant to sorafenib treatment. Ivyspring International Publisher 2023-01-01 /pmc/articles/PMC9809332/ /pubmed/36605485 http://dx.doi.org/10.7150/jca.78011 Text en © The author(s) https://creativecommons.org/licenses/by/4.0/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
Ji, Xiaozhen
Qin, Xin
Huang, Xiuming
Wang, Wei
Li, Huiyan
Zheng, Chuizhi
Huang, Yanjing
S100A11: A Potential Carcinogen and Prognostic Marker That Correlates with the Immunosuppressive Microenvironment in Pan-Cancer
title S100A11: A Potential Carcinogen and Prognostic Marker That Correlates with the Immunosuppressive Microenvironment in Pan-Cancer
title_full S100A11: A Potential Carcinogen and Prognostic Marker That Correlates with the Immunosuppressive Microenvironment in Pan-Cancer
title_fullStr S100A11: A Potential Carcinogen and Prognostic Marker That Correlates with the Immunosuppressive Microenvironment in Pan-Cancer
title_full_unstemmed S100A11: A Potential Carcinogen and Prognostic Marker That Correlates with the Immunosuppressive Microenvironment in Pan-Cancer
title_short S100A11: A Potential Carcinogen and Prognostic Marker That Correlates with the Immunosuppressive Microenvironment in Pan-Cancer
title_sort s100a11: a potential carcinogen and prognostic marker that correlates with the immunosuppressive microenvironment in pan-cancer
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9809332/
https://www.ncbi.nlm.nih.gov/pubmed/36605485
http://dx.doi.org/10.7150/jca.78011
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