Using advanced biomarkers to better predict lung cancer outcomes
Automatic integrated biomarkers to improve prediction of lung cancer outcomes
This study is looking to help people with non-small cell lung cancer by using new tests and real-life data to better predict how their cancer might behave and how well different treatments could work for them, so they can get more personalized care.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Sloan-Kettering Inst Can Research NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project ID | NIH-10985665 on NIH RePORTER |
What this research studies
This research focuses on improving the prediction of outcomes for patients with non-small cell lung cancer (NSCLC) by utilizing advanced biomarkers and real-world data. It aims to answer critical questions about recurrence likelihood, treatment benefits, and the risk of brain metastasis in NSCLC patients. By integrating genomic profiling, imaging, and clinician notes with innovative assays like circulating tumor DNA sequencing, the study seeks to create more personalized treatment plans. The approach leverages advanced data processing techniques to streamline the analysis of complex patient information.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients diagnosed with non-small cell lung cancer who have undergone definitive treatment and are at risk for recurrence or metastasis.
Not a fit: Patients with other types of lung cancer or those who are not diagnosed with lung cancer may not receive any benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate predictions of lung cancer outcomes, allowing for tailored treatment strategies that improve patient survival and quality of life.
How similar studies have performed: Previous research has shown promise in using similar approaches to integrate real-world data and biomarkers for cancer prediction, indicating a potential for success in this novel application.
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.