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Homo sapiens

ABSTRACT: CGH profiles of primary colorecal cancer: metastasis-free, liver and peritoneal metastasis

PROVIDER: PRJNA125073 | ENA |

REPOSITORIES: ENA

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Genomic Profile of Primary Colorectal Cancers and associated Liver Metastases

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Project description:CGH profiles of primary breast carcinomas from HBOC (Hereditary Breast and Ovarian Cancer) families

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Early adaptation of colorectal cancer cells to the peritoneal cavity depends on activation of ‘stemness’ programs and local inflammation.

Project description: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 super-specialised microenvironment. Our aim was to describe the differences between peritoneal metastases and their matched primary tumours excised simultaneously at the time of surgery. Also, we tested the hypothesis of these differences being present in primary colorectal tumours and having prognostic capacity. Experimental design: We report a comprehensive analysis of thirty 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 tumour favorable inflammatory changes. When adjusted for age, gender and stage, the 20-gene peritoneal signature proved to have prognostic value for both OS (adjusted-hazard ratio (HR) for the high-risk group (vs low-risk) 2.32 (95% confidence interval (CI) 1.69-3.19; p-value < 0.0001)) and for DFS (adjusted-HR 2.08 (95%CI 1.50-2.91; p-value < 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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