Using large data sets to understand how cancer progresses over time
Advanced Computational Approaches to Delineating Dynamic Cancer Progression Processes by Using Massive Static Sample Data
This study is looking at how cancer grows by examining many tumor samples all at once, which helps researchers understand cancer better and could lead to improved tests and treatments for patients.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | State University of New York at Buffalo NIH-funded |
| Lab location | 1 site (Amherst, United States) |
| Project ID | NIH-10771179 on NIH RePORTER |
What this research studies
This research investigates how cancer develops by analyzing a vast number of static tumor samples instead of relying on time-consuming and ethically challenging repeated sampling of patients. By employing advanced computational methods, the study aims to create detailed models that illustrate the dynamic processes of cancer progression. This approach could lead to better insights into tumor biology, ultimately improving cancer diagnostics and treatment options for patients. The research leverages the latest sequencing technologies to analyze genetic alterations in tumors collected from various studies.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals diagnosed with breast cancer or other malignancies who have tumor samples available for analysis.
Not a fit: Patients with early-stage cancers that have not yet developed significant genetic alterations may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate cancer diagnostics and targeted therapies, improving patient outcomes.
How similar studies have performed: Other research has shown promise in using static data to model disease progression, indicating that this approach could yield valuable insights.
Where this research is happening
Amherst, United States
- State University of New York at Buffalo — Amherst, United States (Active)
Researchers
- Principal investigator: Sun, Yijun — State University of New York at Buffalo
- Study coordinator: Sun, Yijun
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.