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Updated: Dec 5, 2025

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Molecular and Immunologic Techniques in a Genetically Engineered Mouse Model of Gastrointestinal Stromal Tumor
Published on: May 2, 2022
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Finding the hot spot: identifying immune sensitive gastrointestinal tumors
Andre Luiz Pitanga Bastos De Souza1
1Lifespan Cancer Institute, Research Office APC room 131, 593 Eddie Street, Providence, RI 02905, USA.
Translational Gastroenterology and Hepatology
|October 19, 2020
Summary
Microsatellite instability (MSI) is the strongest predictor of response to immune checkpoint blockers (ICBs) in gastrointestinal cancers. Emerging biomarkers like PD-L1 and tumor mutational burden (TMB-H) also show promise for predicting immunotherapy effectiveness.
Area of Science:
- Oncology
- Immunology
- Gastroenterology
Background:
- Immune checkpoint blockers (ICBs) have revolutionized cancer treatment, offering durable responses in metastatic solid tumors.
- ICBs are monoclonal antibodies targeting immune evasion molecules like PD-1 and CTLA-4.
Purpose of the Study:
- To review current evidence on predictive biomarkers for ICB response in gastrointestinal (GI) tumors.
- To identify established and emerging biomarkers for optimizing immunotherapy in GI malignancies.
Main Methods:
- Systematic literature review of FDA-approved drugs and therapies.
- Searches included NCI drug lists, FDA website, and major oncology conference proceedings (AACR, ASCO, ESMO 2019).
- PubMed search utilized MeSH terms: biomarkers, immunotherapy, gastrointestinal diseases, and neoplasms.
Main Results:
- Microsatellite instability (MSI) is the most potent predictive biomarker, particularly in colorectal cancer.
- Programmed death-ligand 1 (PD-L1) shows predictive value in gastroesophageal malignancies.
- Tumor mutational burden-high (TMB-H) is a potential biomarker in anal and biliary tract carcinomas, independent of MSI.
Conclusions:
- MSI demonstrates the strongest predictive power for ICB response in GI cancers.
- Ongoing research explores novel biomarkers, including the microbiome and RNA-editing mutations.
- Future strategies may involve combination therapies targeting complementary pathways to PD-1/PD-L1 axis inhibition.

