Using smart tools to better predict lung cancer outcomes
Automatic integrated biomarkers to improve prediction of lung cancer outcomes
['FUNDING_CAREER'] · SLOAN-KETTERING INST CAN RESEARCH · NIH-11167503
This project develops new ways to predict how non-small cell lung cancer might progress for patients, helping doctors make more informed treatment decisions.
Quick facts
| Phase | ['FUNDING_CAREER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | SLOAN-KETTERING INST CAN RESEARCH (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-11167503 on ClinicalTrials.gov |
What this research studies
We are working to answer important questions for patients with non-small cell lung cancer, such as the chance of their cancer returning after treatment or the likelihood of it spreading to the brain. Our approach combines existing patient information, like tumor genetic details, imaging scans, and doctor's notes, with newer tests like circulating tumor DNA (ctDNA) and radiomics. By using advanced computer programs to analyze this real-world data, we aim to create personalized predictions for each patient. This could lead to more tailored care and better results for those living with lung cancer.
Who could benefit from this research
Good fit: This research is relevant to patients diagnosed with non-small cell lung cancer, particularly those who have received definitive treatment or have advanced disease.
Not a fit: Patients without non-small cell lung cancer or those not seeking improved predictive tools for their cancer progression would not directly benefit from this specific research.
Why it matters
Potential benefit: If successful, this work could provide more accurate predictions for lung cancer patients, helping doctors choose the most effective treatments and improve patient outcomes.
How similar studies have performed: Preliminary work has shown promise in combining ctDNA sequencing with other data types to create richly annotated datasets, suggesting a strong foundation for this approach.
Where this research is happening
NEW YORK, UNITED STATES
- SLOAN-KETTERING INST CAN RESEARCH — NEW YORK, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: JEE, JUSTIN — SLOAN-KETTERING INST CAN RESEARCH
- Study coordinator: JEE, JUSTIN
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.
Conditions: American Association of Cancer Research, American Joint Committee on Cancer, Anti-Cancer Agents