Prognostic value of SLC4A4 and its correlation with the microsatellite instability in colorectal cancer

To explore new biomarkers related to microsatellite instability in order to better predict prognosis and guide medication. 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. Dif...

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Veröffentlicht in:Frontiers in oncology 2023-04, Vol.13, p.1179120-1179120
Hauptverfasser: Rui, Shaorui, Wang, Dong, Huang, Yong, Xu, Jingyun, Zhou, Hailang, Zhang, Hesong
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Sprache:eng
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Zusammenfassung:To explore new biomarkers related to microsatellite instability in order to better predict prognosis and guide medication. 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 in colorectal cancer cell lines. Finally, we further verified the expression of by immunohistochemistry. 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 , of which, there was a stronger correlation between microsatellite instability and . The mRNA and protein expression of was significantly decreased in tumors, and patients with low expression had a poor prognosis. In addition, 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 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 in colorectal cancer. , 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.
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2023.1179120