Colorectal Cancer Metastatic Clinical Trial
— COLOMET IIOfficial title:
Molecular Characterisation of Colorectal Cancer Peritoneal Metastases: Genomic and Transcriptomic Analysis With Correlation of Clinical Outcomes
This project aims to characterise the tumour cell and tumour microenvironment of colorectal cancer peritoneal metastases, understand molecular changes leading to colorectal peritoneal metastasis, identify potential biomarkers and novel treatment strategies.
Status | Not yet recruiting |
Enrollment | 200 |
Est. completion date | July 3, 2025 |
Est. primary completion date | July 3, 2025 |
Accepts healthy volunteers | |
Gender | All |
Age group | 18 Years and older |
Eligibility | Participants are eligible to be included in the study only if all of the following criteria apply: 1. Patients = 18 years old who have been diagnosed with colorectal cancer and have colorectal peritoneal metastases, 2. have had cytoreductive surgery at the Christie 3. have availability of archival tumour tissue (paired CRC and CRPM) Exclusion Criteria: - None |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
The Christie NHS Foundation Trust | University of Manchester |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Proportion of genetic mutations | Descriptive analysis of the proportion of genetic mutations identified in colorectal cancer and their matched peritoneal metastases: concordance and discordance rates. | 24 months | |
Secondary | Proportion differences of genetic mutations | The descriptive difference in proportion of genetic mutations identified in primary colorectal tumours compared to mutations in colorectal cancer peritoneal metastases. Generate hypotheses about changes that occur during the metastatic process. | 24 months | |
Secondary | Correlations of results | Correlation of results from genetic tests with clinical patient data. Identification of genetic mutations which are associated with differences in survival. | 24 months | |
Secondary | Association with molecular subtypes and categorical variables | Association between molecular subtypes and categorical variables to be measured by Fisher's exact or X2 tests. Associations with continuous variables will be evaluated by Kruskal-Wallis tests or ANOVA. Kaplan-Meier methods will calculate survival outcomes. Univariate and multivariate cox proportional hazard regression models stratified by tumour subtype will identify predictive factors of clinical outcomes. Results with a p-value <0.05 will be considered statistically different. | 24 months |
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