Analyzing tumor ecosystems to improve cancer treatment outcomes
Computational analysis of tumor ecosystems and their regulation and association with outcomes
This study is looking at how different types of cells in tumors can influence how well cancer treatments work and how long patients live, with the hope of finding better ways to tailor treatments for each person.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-11077684 on NIH RePORTER |
What this research studies
This research investigates how the cellular composition of tumors affects treatment responses and survival rates in cancer patients. By analyzing tumor biopsies and integrating various data types, the study aims to identify specific cell types and biomarkers that can predict patient outcomes. The approach includes using advanced techniques like single-cell RNA sequencing and validating findings through tissue microarrays. Ultimately, the goal is to enhance the understanding of cancer biology and improve personalized treatment strategies.
Who could benefit from this research
Good fit: Ideal candidates for this research are cancer patients, particularly those with high-grade serous ovarian carcinoma, who are undergoing treatment.
Not a fit: Patients with non-cancerous conditions or those not diagnosed with specific types of cancer may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate prognostic tools and tailored treatment options for cancer patients.
How similar studies have performed: Previous research has shown promise in using similar methodologies to identify biomarkers and improve cancer treatment outcomes.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Gentles, Andrew J. — Stanford University
- Study coordinator: Gentles, Andrew J.
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.