S332 Association Between ICI and Chronic Colon Mucosal Inflammation: IBD and Microscopic Colitis Risk

Introduction: Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment but are associated with immune-related adverse events including gastrointestinal toxicity. The risk of de novo inflammatory bowel disease (IBD) and microscopic colitis development in cancer patients receiving ICIs remains incompletely characterized. This study aimed to evaluate the association between ICI therapy and subsequent coding for de novo unspecified IBD, ulcerative colitis (UC), Crohn’s disease (CD), and microscopic colitis. Methods: We conducted a retrospective cohort study using the TriNetX real-world database from March 2011 to January 2025. Adult cancer patients (>18 years) treated with ICIs targeting PD-1, PD-L1, and CTLA-4 (exposed) were compared to cancer patients not receiving ICIs (non-exposed). Patients with pre-existing IBD or microscopic colitis codes were excluded. Both groups were 1:1 propensity matched for age, gender, demographics, and cancer types. Included patients with diarrhea or colitis code within 6 months post-treatment. De novo IBD and microscopic colitis coding were assessed at one year post-treatment. Outcomes included unspecified IBD, any IBD (any IBD-related code), and specific codes for UC or CD. Results: After propensity matching, both exposed and non-exposed groups included 15,139 patients each. The average age was 65 years for both groups, with women accounting for 46.8% in the exposed and 47.8% in the non-exposed. No significant difference was observed for unspecified IBD coding (0.06% vs 0.06%, odds ratio [OR] 1.1, 95% confidence interval [CI] 0.4-2.4, P = 1.0). Any IBD code occurred more frequently in exposed patients (9.0% vs 5.5%, OR 1.63, 95% CI 1.5-1.7, P < 0.001). ICI therapy was associated with significantly increased risk of de novo UC coding (0.6% vs 0.06%, OR 9.8, 95% CI 5.1-18.7, P < 0.001), but no significant difference in CD coding (0.11% vs 0.06%, OR 1.7, 95% CI 0.7-3.7, P = 0.17). Microscopic colitis coding occurred more frequently in exposed patients (0.3% vs 0.06%, OR 5.5, 95% CI 2.8-10.7, P < 0.001). Conclusion: Cancer patients receiving ICI therapy have a significantly increased risk of developing de novo IBD coding, with ulcerative colitis showing the highest risk (∼10-fold increase). Microscopic colitis coding risk was also significantly elevated. These entities need to be considered in the differential diagnosis of ICI-related diarrhea or colitis, and future studies are needed to confirm these coding-based associations through clinical validation.

Authors

Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001128788.87987.36
Primary Topic
Microscopic Colitis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

S332 Association Between ICI and Chronic Colon Mucosal Inflammation: IBD and Microscopic Colitis Risk

Sara F. Haddad, Joseph Sleiman, Anika Azem, Julia Wajsberg et al.
The American Journal of Gastroenterology
Microscopic Colitis
article

S332 Association Between ICI and Chronic Colon Mucosal Inflammation: IBD and Microscopic Colitis Risk

Sara F. Haddad, Joseph Sleiman, Anika Azem, Julia Wajsberg, Jessica Philpott, Danah Al-Deiri
article en

Abstract

Introduction: Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment but are associated with immune-related adverse events including gastrointestinal toxicity. The risk of de novo inflammatory bowel disease (IBD) and microscopic colitis development in cancer patients receiving ICIs remains incompletely characterized. This study aimed to evaluate the association between ICI therapy and subsequent coding for de novo unspecified IBD, ulcerative colitis (UC), Crohn’s disease (CD), and microscopic colitis. Methods: We conducted a retrospective cohort study using the TriNetX real-world database from March 2011 to January 2025. Adult cancer patients (>18 years) treated with ICIs targeting PD-1, PD-L1, and CTLA-4 (exposed) were compared to cancer patients not receiving ICIs (non-exposed). Patients with pre-existing IBD or microscopic colitis codes were excluded. Both groups were 1:1 propensity matched for age, gender, demographics, and cancer types. Included patients with diarrhea or colitis code within 6 months post-treatment. De novo IBD and microscopic colitis coding were assessed at one year post-treatment. Outcomes included unspecified IBD, any IBD (any IBD-related code), and specific codes for UC or CD. Results: After propensity matching, both exposed and non-exposed groups included 15,139 patients each. The average age was 65 years for both groups, with women accounting for 46.8% in the exposed and 47.8% in the non-exposed. No significant difference was observed for unspecified IBD coding (0.06% vs 0.06%, odds ratio [OR] 1.1, 95% confidence interval [CI] 0.4-2.4, P = 1.0). Any IBD code occurred more frequently in exposed patients (9.0% vs 5.5%, OR 1.63, 95% CI 1.5-1.7, P < 0.001). ICI therapy was associated with significantly increased risk of de novo UC coding (0.6% vs 0.06%, OR 9.8, 95% CI 5.1-18.7, P < 0.001), but no significant difference in CD coding (0.11% vs 0.06%, OR 1.7, 95% CI 0.7-3.7, P = 0.17). Microscopic colitis coding occurred more frequently in exposed patients (0.3% vs 0.06%, OR 5.5, 95% CI 2.8-10.7, P < 0.001). Conclusion: Cancer patients receiving ICI therapy have a significantly increased risk of developing de novo IBD coding, with ulcerative colitis showing the highest risk (∼10-fold increase). Microscopic colitis coding risk was also significantly elevated. These entities need to be considered in the differential diagnosis of ICI-related diarrhea or colitis, and future studies are needed to confirm these coding-based associations through clinical validation.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 59%
Microscopic Colitis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.