Using AI to find biomarkers that improve treatment for gastric cancer
Official title: Using artificial intelligence to discover spatial, genomic, and pathologic biomarkers to guide and augment immune checkpoint inhibitor therapy for gastric cancer
Funded at Ut Southwestern Medical Center · NIH-11063978 · Data updated 2026-11-12
This study is looking to help people with gastric cancer by using artificial intelligence to find clues that show who might respond well to certain immune treatments, so they can get the best care possible.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ut Southwestern Medical Center NIH-funded |
| Lab location | 1 site (Dallas, United States) |
| Project start | April 1, 2024 |
| Project end | March 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $665,617 |
| NIH project number | 5R01CA276690-02 |
| Project ID | NIH-11063978 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with gastric cancer who are considering or currently undergoing immune checkpoint inhibitor therapy.
✕Less likely to help
Patients with gastric cancer who are not eligible for immune checkpoint inhibitor therapy or those with other types of cancer may not benefit from this research.
What this research studies
This research aims to enhance treatment outcomes for gastric cancer patients by utilizing artificial intelligence to identify biomarkers that predict responses to immune checkpoint inhibitors (ICIs). The study will analyze various data types, including genomic and pathologic information, to better understand the tumor microenvironment and refine ICI therapy. By collaborating closely with experts in computational science and surgery, the research seeks to develop strategies that not only identify which patients are likely to benefit from ICIs but also improve the effectiveness of these therapies.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment options for gastric cancer patients, potentially improving survival rates and reducing unnecessary side effects.
How similar studies have gone: Previous research has shown promise in using artificial intelligence to identify biomarkers in other cancers, suggesting that this approach may also be effective for gastric cancer.
Where this research is happening
-
Ut Southwestern Medical Center
Dallas, United States Active
Researchers
- Principal investigator: Wang, Sam C. — Ut Southwestern Medical Center
- Study coordinator: Wang, Sam C.
Related research
Other NIH-funded projects on the same topics.
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Using AI to find tissue and genetic markers to guide immune therapy for stomach cancer
This project uses artificial intelligence to find tissue and genomic signs that help doctors choose and improve immune checkpoint drugs for people with gastric (stomach) cancer.
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Advancing gastric cancer care for Latinos through patient-derived tumor models
Aimed at Latinos with gastric cancer, this project uses patient-derived tumor models to study how cancer biology and treatments work in real tumors.
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Circulating metabolites as early warning signs for gastric cancer
Researchers will look at blood-based metabolites to find signs that predict gastric cancer risk in people, with a focus on those in large, multi-center cohorts.
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Understanding why racial differences exist in stomach cancer in the US
This grant studies why some racial groups in the US have higher stomach cancer rates, focusing on how Helicobacter pylori infection and host responses contribute to these differences.
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Understanding how gastric cancer starts and grows in the stomach
Researchers at Columbia are studying how two main types of stomach cancer begin and progress, using new mouse models and advanced single-cell and spatial analysis to map where cancer cells come from and how they change.
-
Gastric cancer prevention and screening modeled to guide US care
A nationwide modeling project uses AI and advanced simulations to help decide who should be tested and treated for stomach cancer prevention and screening in the United States.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.