Identification of SOX6 and SOX12 as Prognostic Biomarkers for Clear Cell Renal Cell Carcinoma: A Retrospective Study Based on TCGA Database

Integrative analysis of the SOX family-related prognostic signature and immunological infiltration in prostate cancer

Background

Prostate cancer (PCa) remains a major prevalent cancer worldwide and has a poor prognosis. The sex-determining region Y (SRY)-related high-mobility group (HMG) box (SOX) family is a series of transcription factors (TFs) involved in regulating many biological processes (BPs). In tumors, however, SOX genes are frequently deregulated. Tumorigenic deregulation took place at the transcriptional, translational, and posttranslational levels. This leads them to be correlated to tumor progression and poor clinical outcomes in PCa. Nevertheless, the SOX family prognostic role in PCa still needs further investigation.

Methods

A SOX family-related prognostic signature was developed by performing LASSO (Least absolute shrinkage and selection operator) Cox regression analysis. The construction of a lncRNA-miRNA-mRNA regulatory axis for PCa was performed using a ceRNA network.

Results

Upregulation was observed in the expression of SOX4/8/11/12/14, while downregulation was observed for SOX2/5/7/13/15/30 in PCa. Consensus clustering identified four clusters of PCa patients based on these differentially expressed SOX family members. The constructed SOX family-related prognostic signature, which includes five SOX family members (SOX5/8/11/12/30), performed well in predicting PCa-patient prognosis. B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and dendritic cell immune infiltration levels had a significant association with PCa-patient risk scores. Based on additional analysis, a significant association was also suggested between SOX family expression and tumor mutational burden (TMB), microsatellite instability (MSI), and drug sensitivity. By constructing a ceRNA network, a lncRNA SGMS1-AS1/miR-194-5p/SOX5 regulatory axis was developed for PCa.

Conclusions

Herein, a SOX family-related prognostic signature was identified and was found to perform well in predicting PCa-patient prognosis. A lncRNA SGMS1-AS1/miR-194-5p/SOX5 regulatory axis was also identified for PCa progression.

The Dysregulation of SOX Family Correlates with DNA Methylation and Immune Microenvironment Characteristics to Predict Prognosis in Hepatocellular Carcinoma

Background

Due to the molecular heterogeneity of hepatocellular carcinoma (HCC), majority of patients respond poorly among various of therapy. This study is aimed at conducting a comprehensive analysis about roles of SOX family in HCC for obtaining more therapeutic targets and biomarkers which may bring new ideas for the treatment of HCC.

Methods

UALCAN, Kaplan Meier plotter, cBioPortal, STRING, WebGestalt, Metascape, TIMER 2.0, DiseaseMeth, MethSurv, HPA, CCLE database, and Cytoscape software were used to comprehensively analyze the bioinformatic data.

Results

SOX2, SOX4, SOX8, SOX10, SOX11, SOX12, SOX17, and SOX18 were significantly differentially expressed in HCC and normal tissues and were valuable for the grade and survival of HCC patients. In addition, the gene alterations of SOX family happened frequently, and SOX4 and SOX17 had the highest mutation rate. The function of SOX family on HCC may be closely correlated with the regulation of angiogenesis-related signaling pathways. Moreover, SOX4, SOX8, SOX11, SOX12, SOX17, and SOX18 were correlation with 8 types of immune cells (including CD8+ T cell, CD4+ T cell, B cell, Tregs, neutrophil, macrophage, myeloid DC, and NK cell), and we found that most types of immune cells had a positive correlation with SOX family. Notably, CD4+ T cell and macrophage were positively related with all these SOX family. NK cells were negatively related with most SOX family genes. DNA methylation levels in promoter area of SOX2, SOX4, and SOX10 were lower in HCC than normal tissues, while SOX8, SOX11, SOX17, and SOX18 had higher DNA methylation levels than normal tissues. Moreover, higher DNA methylation level of SOX12 and SOX18 demonstrated worse survival rates in patients with HCC.

Conclusion

SOX family genes could predict the prognosis of HCC. In addition, the regulation of angiogenesis-related signaling pathways may participate in the development of HCC. DNA methylation level and immune microenvironment characteristics (especially CD4+ T cell and macrophage immune cell infiltration) could be a novel insight for predicting prognosis in HCC.