Analyzing genetic changes in cancer
Methods for Analyzing Cancer Somatic Mutation Data
This study is looking at how changes in the genes of cancer cells can affect different traits of cancer, helping doctors understand and treat cancer better for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Fred Hutchinson Cancer Center NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project ID | NIH-10474303 on NIH RePORTER |
What this research studies
This research focuses on understanding how somatic mutations, which are genetic changes that occur in cancer cells, relate to various cancer traits. By developing advanced statistical methods, the project aims to analyze these mutations more effectively, which is crucial for precision oncology. The research will explore the connections between mutations and cancer characteristics, investigate different cancer subtypes, and analyze biological pathways involving both somatic and germline mutations. This comprehensive approach could lead to better insights into cancer development and treatment.
Who could benefit from this research
Good fit: Ideal candidates for this research include cancer patients who have undergone genetic testing and have identifiable somatic mutations.
Not a fit: Patients without cancer or those whose tumors do not exhibit somatic mutations may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could enhance personalized cancer therapies by improving the understanding of genetic factors that influence cancer progression.
How similar studies have performed: Previous research has shown success in using statistical methods to analyze genetic data in cancer, indicating that this approach has potential for impactful findings.
Where this research is happening
Seattle, United States
- Fred Hutchinson Cancer Center — Seattle, United States (Active)
Researchers
- Principal investigator: He, Qianchuan — Fred Hutchinson Cancer Center
- Study coordinator: He, Qianchuan
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.