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Siglec-9, a Putative Immune Checkpoint Marker for Cancer Progression Across Multiple Cancer Types
Siglec-9, a cell surface transmembrane receptor mainly expressed on B cells, CD56(+) NK cells, and CD4(+) and CD8(+) T cells, is strongly related to the tumor immune microenvironment. However, the expression pattern of Siglec-9 and its prognostic potential have not been investigated in a pan-cancer...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968865/ https://www.ncbi.nlm.nih.gov/pubmed/35372497 http://dx.doi.org/10.3389/fmolb.2022.743515 |
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author | Wu, Yuliang Huang, Wei Xie, Yutong Wang, Chunyan Luo, Ning Chen, Yingying Wang, Liefu Cheng, Zhongping Gao, Zhengliang Liu, Shupeng |
author_facet | Wu, Yuliang Huang, Wei Xie, Yutong Wang, Chunyan Luo, Ning Chen, Yingying Wang, Liefu Cheng, Zhongping Gao, Zhengliang Liu, Shupeng |
author_sort | Wu, Yuliang |
collection | PubMed |
description | Siglec-9, a cell surface transmembrane receptor mainly expressed on B cells, CD56(+) NK cells, and CD4(+) and CD8(+) T cells, is strongly related to the tumor immune microenvironment. However, the expression pattern of Siglec-9 and its prognostic potential have not been investigated in a pan-cancer perspective. This study aimed to explore the association of Siglec-9 with prognosis, tumor stage, molecular subtype, and the immune microenvironment in pan-cancer. The mRNA expression of Siglec-9 was obtained from The Cancer Genome Atlas (TCGA), the Broad Institute Cancer Cell Line Encyclopedia (CCLE), and Genotype-Tissue Expression (GTEx). The relationship between Siglec-9 mRNA expression and prognosis was evaluated by the Kaplan–Meier analysis. The correlation between Siglec-9 and tumor-infiltrating immune cells, immune subtype, and molecular subtype was evaluated on Tumor Immune Estimation Resource (TIMER) and Integrated Repository Portal for Tumor-Immune System Interactions (TISIDB). The correlation between Siglec-9 expression and immune checkpoint, mismatch repair (MMR), DNA methyltransferase (DNMT), tumor mutation burden (TMB), and microsatellite instability (MSI) was also analyzed. It showed that Siglec-9 expression was significantly altered in most TCGA tumors. Siglec-9 expression was associated with the prognosis of patients with adrenocortical carcinoma (ACC), lung adenocarcinoma (LUSC), thymoma (THYM), colon adenocarcinoma (COAD), glioblastoma multiforme (GBM), prostate adenocarcinoma (PRAD), esophageal carcinoma (ESCA), and brain lower-grade glioma (LGG). Particularly, increased Siglec-9 expression was strongly correlated with poor prognosis in LGG. Correlation between Siglec-9 expression and tumor stage was also observed in various cancers. In addition, Siglec-9 was positively associated with infiltration of immune cells including neutrophils, dendritic cells (DCs), macrophage, and CD4(+) and CD8(+) T cells. Moreover, a significant correlation between Siglec-9 and MSI, TMB, MMR, DNMT, immune checkpoint, immune subtype, molecular subtype, and immunomodulators was observed in multiple cancers. Specifically, poor prognostic value and strong correlation to immune cell infiltration were verified with the LGG dataset from the Chinese Glioma Genome Atlas (CGGA). These findings indicated that Siglec-9 can be a novel biomarker and a potential target for cancer immunotherapy. |
format | Online Article Text |
id | pubmed-8968865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89688652022-04-01 Siglec-9, a Putative Immune Checkpoint Marker for Cancer Progression Across Multiple Cancer Types Wu, Yuliang Huang, Wei Xie, Yutong Wang, Chunyan Luo, Ning Chen, Yingying Wang, Liefu Cheng, Zhongping Gao, Zhengliang Liu, Shupeng Front Mol Biosci Molecular Biosciences Siglec-9, a cell surface transmembrane receptor mainly expressed on B cells, CD56(+) NK cells, and CD4(+) and CD8(+) T cells, is strongly related to the tumor immune microenvironment. However, the expression pattern of Siglec-9 and its prognostic potential have not been investigated in a pan-cancer perspective. This study aimed to explore the association of Siglec-9 with prognosis, tumor stage, molecular subtype, and the immune microenvironment in pan-cancer. The mRNA expression of Siglec-9 was obtained from The Cancer Genome Atlas (TCGA), the Broad Institute Cancer Cell Line Encyclopedia (CCLE), and Genotype-Tissue Expression (GTEx). The relationship between Siglec-9 mRNA expression and prognosis was evaluated by the Kaplan–Meier analysis. The correlation between Siglec-9 and tumor-infiltrating immune cells, immune subtype, and molecular subtype was evaluated on Tumor Immune Estimation Resource (TIMER) and Integrated Repository Portal for Tumor-Immune System Interactions (TISIDB). The correlation between Siglec-9 expression and immune checkpoint, mismatch repair (MMR), DNA methyltransferase (DNMT), tumor mutation burden (TMB), and microsatellite instability (MSI) was also analyzed. It showed that Siglec-9 expression was significantly altered in most TCGA tumors. Siglec-9 expression was associated with the prognosis of patients with adrenocortical carcinoma (ACC), lung adenocarcinoma (LUSC), thymoma (THYM), colon adenocarcinoma (COAD), glioblastoma multiforme (GBM), prostate adenocarcinoma (PRAD), esophageal carcinoma (ESCA), and brain lower-grade glioma (LGG). Particularly, increased Siglec-9 expression was strongly correlated with poor prognosis in LGG. Correlation between Siglec-9 expression and tumor stage was also observed in various cancers. In addition, Siglec-9 was positively associated with infiltration of immune cells including neutrophils, dendritic cells (DCs), macrophage, and CD4(+) and CD8(+) T cells. Moreover, a significant correlation between Siglec-9 and MSI, TMB, MMR, DNMT, immune checkpoint, immune subtype, molecular subtype, and immunomodulators was observed in multiple cancers. Specifically, poor prognostic value and strong correlation to immune cell infiltration were verified with the LGG dataset from the Chinese Glioma Genome Atlas (CGGA). These findings indicated that Siglec-9 can be a novel biomarker and a potential target for cancer immunotherapy. Frontiers Media S.A. 2022-03-17 /pmc/articles/PMC8968865/ /pubmed/35372497 http://dx.doi.org/10.3389/fmolb.2022.743515 Text en Copyright © 2022 Wu, Huang, Xie, Wang, Luo, Chen, Wang, Cheng, Gao and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Molecular Biosciences Wu, Yuliang Huang, Wei Xie, Yutong Wang, Chunyan Luo, Ning Chen, Yingying Wang, Liefu Cheng, Zhongping Gao, Zhengliang Liu, Shupeng Siglec-9, a Putative Immune Checkpoint Marker for Cancer Progression Across Multiple Cancer Types |
title | Siglec-9, a Putative Immune Checkpoint Marker for Cancer Progression Across Multiple Cancer Types |
title_full | Siglec-9, a Putative Immune Checkpoint Marker for Cancer Progression Across Multiple Cancer Types |
title_fullStr | Siglec-9, a Putative Immune Checkpoint Marker for Cancer Progression Across Multiple Cancer Types |
title_full_unstemmed | Siglec-9, a Putative Immune Checkpoint Marker for Cancer Progression Across Multiple Cancer Types |
title_short | Siglec-9, a Putative Immune Checkpoint Marker for Cancer Progression Across Multiple Cancer Types |
title_sort | siglec-9, a putative immune checkpoint marker for cancer progression across multiple cancer types |
topic | Molecular Biosciences |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8968865/ https://www.ncbi.nlm.nih.gov/pubmed/35372497 http://dx.doi.org/10.3389/fmolb.2022.743515 |
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