S654 Metabolic and Inflammatory Risk Factors for Early-Onset Colorectal Cancer: A US Case-Control Study

Introduction: Colorectal cancer (CRC) incidence in adults under 50 has risen sharply, suggesting a shift in epidemiology. Identifying risk factors may improve early detection and guide screening efforts. This aims to identify clinical and metabolic predictors of early-onset colorectal cancer (EOCRC) in a real-world U.S. population. Methods: A retrospective case-control study was performed using TriNetX, a federated EHR database from 80+ U.S. healthcare institutions. Adults aged 30–49 with first-time CRC (ICD-10 C18–C20) between 2010–2023 were identified. Exclusions: prior malignancy, hereditary CRC syndromes (e.g., Lynch, FAP), inflammatory polyposis, or colectomy before diagnosis. Each case was matched 1:2 to cancer-free controls based on age (±2 years), sex, and year of encounter. Predictors (within 2 years before diagnosis): obesity (E66), type 2 diabetes (E11), IBD (K50, K51), metabolic syndrome (E88.81), tobacco use (F17, Z72.0), physical inactivity (Z72.3), and family history of GI malignancy (Z80.0). Multivariable conditional logistic regression was used; AUC evaluated model performance. Multiple imputation addressed missing BMI and HbA1c data. Results: 3,217 EOCRC cases were matched with 6,434 controls (N = 9,651). Mean age: 43.2; 52% male. EOCRC patients had higher prevalence of: (1) Obesity: 48.3% vs 29.1% (2) Diabetes: 32.5% vs 18.7% (3) Metabolic syndrome: 22.9% vs 12.8% (4) IBD: 9.7% vs 3.3% (5) Family history: 12.6% vs 5.1% (6) Inactivity: 18.4% vs 10.2% (all P < 0.01). Independent predictors: (1) IBD: odds ratio (OR) 2.43 (95% CI: 1.99–2.96) (2) Obesity: OR 2.08 (1.88–2.31) (3) Family history: OR 2.41 (2.02–2.87) (4) Metabolic syndrome: OR 1.77 (1.48–2.13) (5) Diabetes: OR 1.59 (1.36–1.85) (6) Smoking: OR 1.42 (1.22–1.67). Model AUC was 0.81. Subgroup analysis revealed stronger associations in African American and Hispanic patients, and in those without prior CRC screening. Sensitivity analysis using Firth’s correction confirmed robustness. Conclusion: EOCRC is associated with metabolic, inflammatory, and behavioral risk factors. These findings support EOCRC as a distinct entity and highlight the need for risk-based screening strategies for individuals under 50.

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Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001130076.32022.58
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
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0.00
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article

S654 Metabolic and Inflammatory Risk Factors for Early-Onset Colorectal Cancer: A US Case-Control Study

Ahmed Salem, Rajdeep Singh, Sarah Meribout, Aaron Tokayer et al.
The American Journal of Gastroenterology
Colorectal Cancer Screening and Detection
article

S654 Metabolic and Inflammatory Risk Factors for Early-Onset Colorectal Cancer: A US Case-Control Study

Ahmed Salem, Rajdeep Singh, Sarah Meribout, Aaron Tokayer, Bani Chander Roland, Mohamed Eldesouki, Gerard E. Mullin, Yuriy Tsirlin, Nakul Mahajan, Sherif Elhanafi, Omar Abdelhalim, Hazem Abosheaishaa, Joseph Menand, Mohammad Alomari, Islam Mohamed, Fatima Khan, Samantha F. Ehrlich, Carla Barberan Parraga, Neha Sharma, Islam Rajab, Samar Pal S. Sandhu, Mohammed Y. Youssef, Tanuj Chokshi, Syed Mujtaba Baqir, Avleen Kaur, Mohammed Abusuliman, Maria Lisa Itzoe, Abdallah Hussein
article en

Abstract

Introduction: Colorectal cancer (CRC) incidence in adults under 50 has risen sharply, suggesting a shift in epidemiology. Identifying risk factors may improve early detection and guide screening efforts. This aims to identify clinical and metabolic predictors of early-onset colorectal cancer (EOCRC) in a real-world U.S. population. Methods: A retrospective case-control study was performed using TriNetX, a federated EHR database from 80+ U.S. healthcare institutions. Adults aged 30–49 with first-time CRC (ICD-10 C18–C20) between 2010–2023 were identified. Exclusions: prior malignancy, hereditary CRC syndromes (e.g., Lynch, FAP), inflammatory polyposis, or colectomy before diagnosis. Each case was matched 1:2 to cancer-free controls based on age (±2 years), sex, and year of encounter. Predictors (within 2 years before diagnosis): obesity (E66), type 2 diabetes (E11), IBD (K50, K51), metabolic syndrome (E88.81), tobacco use (F17, Z72.0), physical inactivity (Z72.3), and family history of GI malignancy (Z80.0). Multivariable conditional logistic regression was used; AUC evaluated model performance. Multiple imputation addressed missing BMI and HbA1c data. Results: 3,217 EOCRC cases were matched with 6,434 controls (N = 9,651). Mean age: 43.2; 52% male. EOCRC patients had higher prevalence of: (1) Obesity: 48.3% vs 29.1% (2) Diabetes: 32.5% vs 18.7% (3) Metabolic syndrome: 22.9% vs 12.8% (4) IBD: 9.7% vs 3.3% (5) Family history: 12.6% vs 5.1% (6) Inactivity: 18.4% vs 10.2% (all P < 0.01). Independent predictors: (1) IBD: odds ratio (OR) 2.43 (95% CI: 1.99–2.96) (2) Obesity: OR 2.08 (1.88–2.31) (3) Family history: OR 2.41 (2.02–2.87) (4) Metabolic syndrome: OR 1.77 (1.48–2.13) (5) Diabetes: OR 1.59 (1.36–1.85) (6) Smoking: OR 1.42 (1.22–1.67). Model AUC was 0.81. Subgroup analysis revealed stronger associations in African American and Hispanic patients, and in those without prior CRC screening. Sensitivity analysis using Firth’s correction confirmed robustness. Conclusion: EOCRC is associated with metabolic, inflammatory, and behavioral risk factors. These findings support EOCRC as a distinct entity and highlight the need for risk-based screening strategies for individuals under 50.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 54%
Colorectal Cancer Screening and Detection
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