Using advanced techniques to improve CAR-T cell therapy for lymphoma patients
A multimodal approach for precision immuno-oncology in lymphoma treated with CAR-T cells
This study is looking at how different types of medical information can help make CAR-T cell therapy work better for people with relapsing large B-cell lymphoma, so we can understand why some patients don’t respond to treatment and find ways to improve their chances of success.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Sloan-Kettering Inst Can Research NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-10900821 on NIH RePORTER |
What this research studies
This research investigates how a combination of clinical, molecular, genomic, and imaging data can enhance the effectiveness of CAR-T cell therapy for patients with relapsing large B-cell lymphoma. By analyzing various data sources, the study aims to identify why some patients experience treatment failure and to develop better predictive biomarkers for patient outcomes. The approach includes machine learning to synthesize information and understand the mechanisms behind resistance to therapy, particularly focusing on genomic alterations like TP53. This comprehensive strategy seeks to improve treatment responses and reduce disease recurrence.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients with relapsing or refractory large B-cell lymphoma who are considering or have undergone CAR-T cell therapy.
Not a fit: Patients with other types of lymphoma or those who are not eligible for CAR-T cell therapy may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective CAR-T therapies and improved survival rates for lymphoma patients.
How similar studies have performed: Other research has shown promise in using multi-modal approaches to enhance cancer treatment outcomes, indicating that this strategy could be effective.
Where this research is happening
New York, United States
- Sloan-Kettering Inst Can Research — New York, United States (Active)
Researchers
- Principal investigator: Shouval, Roni — Sloan-Kettering Inst Can Research
- Study coordinator: Shouval, Roni
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 below.