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Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer
OBJECTIVE: To explore new biomarkers related to microsatellite instability in order to better predict prognosis and guide medication. METHODS: The “limma” R package was used to identify differentially expressed genes in GSE24514, and then weighted correlation network analysis was used to select key...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154614/ https://www.ncbi.nlm.nih.gov/pubmed/37152025 http://dx.doi.org/10.3389/fonc.2023.1179120 |
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author | Rui, Shaorui Wang, Dong Huang, Yong Xu, Jingyun Zhou, Hailang Zhang, Hesong |
author_facet | Rui, Shaorui Wang, Dong Huang, Yong Xu, Jingyun Zhou, Hailang Zhang, Hesong |
author_sort | Rui, Shaorui |
collection | PubMed |
description | OBJECTIVE: To explore new biomarkers related to microsatellite instability in order to better predict prognosis and guide medication. METHODS: The “limma” R package was used to identify differentially expressed genes in GSE24514, and then weighted correlation network analysis was used to select key genes. Different cell types in the tumor microenvironment were identified and analyzed by single-cell sequencing, with a Lasso regression model used to screen prognostic variables. Furthermore, the correlation between microsatellite instability and potential prognostic variables was explored, as well as the expression characteristics and clinical characteristics of the prognostic variables in the TCGA, UALCAN, and HPA databases. PCR assay was used to investigate the expression of SLC4A4 in colorectal cancer cell lines. Finally, we further verified the expression of SLC4A4 by immunohistochemistry. RESULTS: First, 844 differentially expressed genes in GSE24514 were identified. Subsequently, weighted co-expression network analysis (WGCNA) of GSE24514 obtained all the genes significantly associated with microsatellite instability (MSI), a total of 1452. Analysis of GSE166555 single cell sequencing data set yielded 1564 differentially expressed genes. The gene sets obtained from the above three analysis processes were intersected, and 174 genes were finally obtained. The Lasso regression model revealed two potential prognostic genes, TIMP1 and SLC4A4, of which, there was a stronger correlation between microsatellite instability and SLC4A4. The mRNA and protein expression of SLC4A4 was significantly decreased in tumors, and patients with low SLC4A4 expression had a poor prognosis. In addition, SLC4A4 was specifically expressed in epithelial cells. In the microenvironment of colorectal cancer, malignant cells have a strong interaction with different stromal cells. PCR showed that SLC4A4 was significantly down-regulated in colorectal cancer cell lines Caco-2, HCT116 and HT29 compared with normal control NCM460 cell lines. Immunohistochemistry also showed low expression of SLC4A4 in colorectal cancer. CONCLUSION: SLC4A4, as a tumor suppressor gene, is significantly downregulated and positively correlated with microsatellite instability, thus it may be combined with microsatellite instability to guide colorectal cancer treatment. |
format | Online Article Text |
id | pubmed-10154614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101546142023-05-04 Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer Rui, Shaorui Wang, Dong Huang, Yong Xu, Jingyun Zhou, Hailang Zhang, Hesong Front Oncol Oncology OBJECTIVE: To explore new biomarkers related to microsatellite instability in order to better predict prognosis and guide medication. METHODS: The “limma” R package was used to identify differentially expressed genes in GSE24514, and then weighted correlation network analysis was used to select key genes. Different cell types in the tumor microenvironment were identified and analyzed by single-cell sequencing, with a Lasso regression model used to screen prognostic variables. Furthermore, the correlation between microsatellite instability and potential prognostic variables was explored, as well as the expression characteristics and clinical characteristics of the prognostic variables in the TCGA, UALCAN, and HPA databases. PCR assay was used to investigate the expression of SLC4A4 in colorectal cancer cell lines. Finally, we further verified the expression of SLC4A4 by immunohistochemistry. RESULTS: First, 844 differentially expressed genes in GSE24514 were identified. Subsequently, weighted co-expression network analysis (WGCNA) of GSE24514 obtained all the genes significantly associated with microsatellite instability (MSI), a total of 1452. Analysis of GSE166555 single cell sequencing data set yielded 1564 differentially expressed genes. The gene sets obtained from the above three analysis processes were intersected, and 174 genes were finally obtained. The Lasso regression model revealed two potential prognostic genes, TIMP1 and SLC4A4, of which, there was a stronger correlation between microsatellite instability and SLC4A4. The mRNA and protein expression of SLC4A4 was significantly decreased in tumors, and patients with low SLC4A4 expression had a poor prognosis. In addition, SLC4A4 was specifically expressed in epithelial cells. In the microenvironment of colorectal cancer, malignant cells have a strong interaction with different stromal cells. PCR showed that SLC4A4 was significantly down-regulated in colorectal cancer cell lines Caco-2, HCT116 and HT29 compared with normal control NCM460 cell lines. Immunohistochemistry also showed low expression of SLC4A4 in colorectal cancer. CONCLUSION: SLC4A4, as a tumor suppressor gene, is significantly downregulated and positively correlated with microsatellite instability, thus it may be combined with microsatellite instability to guide colorectal cancer treatment. Frontiers Media S.A. 2023-04-19 /pmc/articles/PMC10154614/ /pubmed/37152025 http://dx.doi.org/10.3389/fonc.2023.1179120 Text en Copyright © 2023 Rui, Wang, Huang, Xu, Zhou and Zhang 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 | Oncology Rui, Shaorui Wang, Dong Huang, Yong Xu, Jingyun Zhou, Hailang Zhang, Hesong Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer |
title | Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer |
title_full | Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer |
title_fullStr | Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer |
title_full_unstemmed | Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer |
title_short | Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer |
title_sort | prognostic value of slc4a4 and its correlation with the microsatellite instability in colorectal cancer |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154614/ https://www.ncbi.nlm.nih.gov/pubmed/37152025 http://dx.doi.org/10.3389/fonc.2023.1179120 |
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