AI Article Synopsis

  • The study investigates how the location of colorectal tumors affects survival rates, particularly in relation to their molecular characteristics like microsatellite instability (MSI) and methylation patterns (CIMP).
  • A large dataset of over 13,000 colorectal cancer cases revealed significant survival trends based on tumor location, with non-MSI-high tumors showing better outcomes as they moved from the cecum to the sigmoid colon, while MSI-high tumors had worse outcomes in the same locations.
  • The findings emphasize the need for considering both tumor location and molecular features for more accurate prognostication in colon cancer, highlighting the potential of precision medicine in improving patient outcomes.

Article Abstract

Background: The pathogenic effect of colorectal tumor molecular features may be influenced by several factors, including those related to microbiota, inflammation, metabolism, and epigenetics, which may change along colorectal segments. We hypothesized that the prognostic association of colon cancer location might differ by tumor molecular characteristics.

Methods: Utilizing a consortium dataset of 13,101 colorectal cancer cases, including 2994 early-onset cases, we conducted survival analyses of detailed tumor location stratified by statuses of microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and KRAS and BRAF oncogenic mutation.

Results: There was a statistically significant trend for better colon cancer-specific survival in relation to tumor location from the cecum to sigmoid colon (P = 0.002), excluding the rectum. The prognostic association of colon location differed by MSI status (P = 0.001). Non-MSI-high tumors exhibited the cecum-to-sigmoid trend for better colon cancer-specific survival [P < 0.001; multivariable hazard ratio (HR) for the sigmoid colon (vs. cecum), 0.80; 95% confidence interval (CI) 0.70-0.92], whereas MSI-high tumors demonstrated a suggestive cecum-to-sigmoid trend for worse survival (P = 0.020; the corresponding HR, 2.13; 95% CI 1.15-3.92). The prognostic association of colon tumor location also differed by CIMP status (P = 0.003) but not significantly by age, stage, or other features. Furthermore, MSI-high status was a favorable prognostic indicator in all stages.

Conclusions: Both detailed colonic location and tumor molecular features need to be accounted for colon cancer prognostication to advance precision medicine. Our study indicates the important role of large-scale studies to robustly examine detailed colonic subsites in molecular oncology research.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203916PMC
http://dx.doi.org/10.1007/s00535-023-01955-2DOI Listing

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