Profiling of Tumor Microenvironment Components Identifies Five Stroma-Related Genes with Prognostic Implications in Colorectal Cancer.

Cancer biotherapy & radiopharmaceuticals(2022)

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摘要
Tumor microenvironment (TME) significantly affects colorectal cancer (CRC) progression and therapeutic efficacy, particularly the infiltrating stromal components. This study profiled the TME composition of tumor tissue and identify TME-related, especially stroma-related genes having prognosis value in CRC patients. We used the ESTIMATE algorithm to assess stromal/immune component and divided 524 CRC cases of public dataset into high- and low-score groups. We analyzed the effect of the score on prognosis and extracted the differential expression genes (DEGs) between groups, which were stromal- and/or immune-related genes, and performed a prognostic investigation of the DEGs. Higher stromal score correlated with poor survival, whereas the immune score was the inverse. By comparing global gene expression of cases with high vs. low stromal/immune scores, we extracted 474 stroma-related genes, 76 immune-related genes, and 498 intersection genes, which were explored by function enrichment and survival analysis. We identified the expression of five stroma-related genes (including , , , , and ) significantly associated with poorer survival, which were validated in the other two independent CRC cohorts. These results presented a comprehensive understanding of TME components and identified five stroma-related genes that predict poor outcomes in CRC patients.
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关键词
ESTIMATE algorithm,colorectal cancer,prognosis,stroma-related gene,tumor microenvironment
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