Using protein patterns to predict how cancer drugs will work
Proteomic signatures to predict drug response in cancer
This study is looking at how certain proteins in liver cancer cells can help doctors figure out which cancer drugs will work best for individual patients, so they can get more personalized treatment based on their specific tumor.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-11076345 on NIH RePORTER |
What this research studies
This research investigates how specific protein activity in liver cancer cells can predict the effectiveness of various cancer drugs. By analyzing samples from normal liver tissue and liver cancer cell lines, the team aims to refine a predictive model called the KI-Predictor. This model will be tested using actual liver cancer samples from patients to see how well it can forecast drug responses in a lab setting. The goal is to improve personalized treatment options for patients based on their unique tumor characteristics.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with liver cancer who are considering treatment options.
Not a fit: Patients with cancers other than liver cancer may not benefit from this specific research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and personalized cancer treatments for patients.
How similar studies have performed: Other research has shown promising results using similar proteomic approaches to predict drug responses in cancer treatment.
Where this research is happening
Seattle, United States
- University of Washington — Seattle, United States (Active)
Researchers
- Principal investigator: Ong, Shao-En — University of Washington
- Study coordinator: Ong, Shao-En
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.