Analyzing Data to Improve Breast Cancer Treatment
Core 2: Bioinformatics and Biostatistics
This project helps analyze complex patient data from a large breast cancer treatment program to find the best ways to personalize care.
Quick facts
| Grant type | P01 program project |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project ID | NIH-11125956 on NIH RePORTER |
What this research studies
Our team focuses on gathering and understanding all the information from patients participating in a major breast cancer treatment program. We use advanced computer tools and statistics to make sense of imaging, lab results, and molecular details from each person. This helps us develop smart ways to decide which treatments work best for different individuals. Our goal is to create robust decision-making tools to tailor breast cancer care more effectively.
Who could benefit from this research
Good fit: Patients with breast cancer who are participating in or could potentially participate in adaptive clinical trials like I-SPY2.2 might benefit from the insights generated by this data analysis.
Not a fit: Patients not affected by breast cancer or those not involved in the specific clinical trials supported by this data analysis core would not directly benefit from this particular project.
Why it matters
Potential benefit: If successful, this work could lead to more personalized and effective breast cancer treatments, helping doctors choose the right therapy for each patient at the right time.
How similar studies have performed: This project builds upon the established I-SPY2.2 adaptive trial framework, which has successfully guided treatment decisions in previous breast cancer research.
Where this research is happening
San Francisco, United States
- University of California, San Francisco — San Francisco, United States (Active)
Researchers
- Principal investigator: Yau, Christina — University of California, San Francisco
- Study coordinator: Yau, Christina
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.