Early adaptation of colorectal cancer cells to the peritoneal cavity is associated with activation of ‘stemness’ programs and local inflammation
Purpose:At diagnosis, colorectal cancer presents with synchronous peritoneal metastasis in up to 10% of patients. The peritoneum is poorly characterized with respect to its superspecialized microenvironment. Our aim was to describe the differences between peritoneal metastases and their matched primary tumors excised simultaneously at the time of surgery. Also, we tested the hypothesis of these differences being present in primary colorectal tumors and having prognostic capacity. Experimental design: We report a comprehensive analysis of 30 samples from peritoneal metastasis with their matched colorectal cancer primaries obtained during cytoreductive surgery. We tested and validated the prognostic value of our findings in a pooled series of 660 colorectal cancer primary samples with overall survival (OS) information and 743 samples with disease-free survival (DFS) information from publicly available databases. Results: We identified 20 genes dysregulated in peritoneal metastasis that promote an early increasing role of "stemness" in conjunction with tumor-favorable inflammatory changes. When adjusted for age, gender, and stage, the 20-gene peritoneal signature proved to have prognostic value for both OS [adjusted HR for the high-risk group (vs. low-risk) 2.32 (95% confidence interval, CI, 1.69-3.19; P < 0.0001)] and for DFS [adjusted HR 2.08 (95% CI, 1.50-2.91; P < 0.0001)]. Conclusions: Our findings indicated that the activation of "stemness" pathways and adaptation to the peritoneal-specific environment are key to early stages of peritoneal carcinomatosis. The in silico analysis suggested that this 20-gene peritoneal signature may hold prognostic information with potential for development of new precision medicine strategies in this setting.
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组织水平:空间多组学、多重荧光免疫组化、免疫组化、免疫荧光
数据分析:流式数据分析、组化数据分析、多因子数据分析
基因水平:PCR Array、RT-PCR、PCR、单细胞测序
蛋白水平:MSD、Luminex、CBA、Elispot、Antibody Array、ELISA、Sengenics
细胞水平:细胞染色、细胞分选、细胞培养、细胞功能
组织水平:空间多组学、多重荧光免疫组化、免疫组化、免疫荧光
数据分析:流式数据分析、组化数据分析、多因子数据分析
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联系邮箱:labex-mkt@u-labex.com
公众平台:多因子及组学服务专家

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