Epidemiology of Colorectal Cancer Risk Factors

The epidemiology of colorectal cancer encompasses the distribution, determinants and trends of disease risk across populations. Globally, colorectal cancer ranks among the leading causes of cancer incidence and mortality, with marked variation by geography, socioeconomic status and healthcare access. Established non-modifiable risk factors include age, sex, family history and inherited syndromes, while modifiable factors span diet, physical inactivity, obesity, tobacco and alcohol use, and gut microbiota composition. Nutritional exposures such as high red and processed meat intake and low fibre consumption are implicated in carcinogenesis, whereas regular exercise and dietary patterns rich in fruit, vegetables and whole grains confer protection. Differences in tumour location along the colon and rectum suggest distinct aetiologies that may guide targeted prevention. Early detection through screening programmes and removal of precancerous lesions remains a cornerstone of reducing incidence and mortality, underscoring the importance of tailored public health strategies worldwide.

Research from Nature Portfolio

Recent studies have harnessed machine learning methods to improve individual risk stratification and prognosis. One investigation applied a suite of algorithms to a large registry of patients treated over two decades, achieving predictive accuracies around 77% and area under the curve (AUC) values near 0.86 for survival outcomes. The work highlighted clinical staging, demographic variables and treatment parameters as the most influential features, demonstrating how artificial intelligence can integrate complex clinical datasets to inform personalised follow-up and resource allocation in colorectal oncology.

Epidemiology of Colorectal Cancer Risk Factors publication trend

The graph below shows the total number of articles in epidemiology of colorectal cancer risk factors across all publications each year (not limited to Nature Index journals).

Technical terms

Epidemiology: Study of disease occurrence and determinants in populations.

Modifiable risk factor: Behavioural or environmental exposure that can be altered to reduce disease risk.

Non-modifiable risk factor: Inherent characteristic (e.g. age or genetics) that cannot be changed.

Anthropometric measures: Quantitative assessments of body size, shape or composition such as body mass index.

Gut microbiota: Community of microorganisms in the gastrointestinal tract influencing host health.

Machine learning algorithm: Computational method that identifies patterns in data to make predictions or decisions.

References

1. Colorectal Cancer: Epidemiology, Risk Factors, and Prevention. Cancers (2024).
2. Colorectal Cancer: A Review of Carcinogenesis, Global Epidemiology, Current Challenges, Risk Factors, Preventive and Treatment Strategies. Cancers (2022).
3. Colorectal Cancer and Nutrition. Nutrients (2019).
4. Heterogeneity of Colorectal Cancer Risk Factors by Anatomical Subsite in 10 European Countries: A Multinational Cohort Study. Clinical Gastroenterology and Hepatology (2018).
5. Machine learning for predicting survival of colorectal cancer patients. Scientific Reports (2023).
6. National and subnational incidence, mortality and associated factors of colorectal cancer in China: A systematic analysis and modelling study. Journal of Global Health (2023).
7. Site-Specific Risk Factors for Colorectal Cancer in a Korean Population. PLOS ONE (2011).