Related Experiment Video
Updated: Jan 11, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Investigating the association between anthropometry and colorectal cancer survival: a two-sample Mendelian
Afroditi Kanellopoulou1, Emmanouil Bouras2, Andrew T Chan3,4,5,6,7,8
1Department of Hygiene and Epidemiology, School of Medicine, University of Ioannina, Ioannina, Greece.
Background:
Observational epidemiologic studies on the association of anthropometric traits and colorectal cancer (CRC) survival provide inconsistent results, and potential limitations prohibit the investigation of causality. We examined the associations between seven genetically predicted anthropometric traits [height, body mass index (BMI), waist circumference (WC), hip circumference (HC), waist-hip circumference ratio, birth weight and body fat percentage] and CRC-specific mortality among CRC cases using two-sample Mendelian randomization (MR).
Methods:
Analyses were performed using 16 964 CRC cases, out of which 4010 died due to their disease, from the Genetics and Epidemiology of Colorectal Cancer Consortium and Colon Cancer Family Registry. We further conducted stratified analyses by anatomical site and stage. We applied the inverse variance weighted approach, and sensitivity analyses were conducted to assess the impact of potential violations of MR assumptions and adjust for collider bias.
Results:
One standard deviation (SD 13.4 cm) higher genetically predicted levels of WC were associated with worse CRC survival [hazard ratio (HR); 1.22, 95% confidence interval (CI); 1.02-1.47]. Positive associations were further observed for a SD higher genetically predicted BMI (SD; 4.8 kg/m2, HR; 1.5, 95% CI; 1.15-1.95) and HC (SD; 9.2 cm, HR; 1.32, 95% CI; 1.02-1.73) and CRC-specific mortality in cases of stages II/III. The latter associations were generally robust to sensitivity analyses. Positive but imprecisely estimated associations were found for most other anthropometric traits.
Conclusions:
Despite the limitations of cancer survival research, our findings support that CRC cases should avoid obesity. Further research should inform the development of recommendations targeting overweight/obesity management during cancer surveillance.
More Related Videos
07:13Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
Published on: April 18, 2025
08:14A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
Published on: February 28, 2018
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
Cancer Survival Analysis
The Mantel-Cox Log-Rank Test
Assumptions of Survival Analysis
Randomized Experiments
Simple randomization
Simple...
Regression Toward the Mean