Understanding lung cancer risk through DNA repair tests and blood samples
Official title: Analysis of the predictability of lung cancer using DNA Repair functional assays and cryopreserved blood samples of the PLCO prospective cohort
Funded at Weizmann Institute of Science · NIH-11098755 · Data updated 2026-11-12
This study is looking at how well our bodies can fix DNA damage to see if it can help predict who might be at risk for lung cancer, using blood samples from people in a large health study, so we can improve ways to prevent and catch lung cancer early for those who need it.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Weizmann Institute of Science NIH-funded |
| Lab location | 1 site (Rehovot, Israel) |
| Project start | May 6, 2023 |
| Project end | April 30, 2026 |
| Funding year | 2025 |
| Award (this year) | $179,791 |
| NIH project number | 5U01CA279001-03 |
| Project ID | NIH-11098755 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with a family history of lung cancer, those with a history of smoking, and individuals exposed to environmental or occupational carcinogens.
✕Less likely to help
Patients who have already been diagnosed with advanced lung cancer may not benefit from this research.
What this research studies
This research investigates how DNA repair capabilities can predict the risk of lung cancer by analyzing blood samples from participants in the PLCO cohort. It focuses on measuring the effectiveness of specific enzymes involved in repairing DNA damage, which may indicate an individual's susceptibility to developing lung cancer. By comparing DNA repair scores between healthy individuals and those with lung cancer, the study aims to enhance current risk prediction models. This could lead to better prevention strategies and earlier detection of lung cancer for at-risk individuals.
Why it matters
Potential benefit: If successful, this research could lead to improved methods for predicting lung cancer risk, allowing for earlier interventions and better patient outcomes.
How similar studies have gone: Previous studies have shown promising results in using DNA repair scores to predict lung cancer risk, indicating that this approach may be effective.
Where this research is happening
-
Weizmann Institute of Science
Rehovot, Israel Active
Researchers
- Principal investigator: Livneh, Zvi — Weizmann Institute of Science
- Study coordinator: Livneh, Zvi
Related research
Other NIH-funded projects on the same topics.
-
Blood-based markers to identify lung cancer risk in never-smokers
A researchers team at NYU School of Medicine is testing blood tests that might flag higher lung cancer risk in people who have never smoked, helping decide who might need screening.
-
Integrative Analysis of Lung Cancer Risk and Its Causes
A large, multi-part study at the University of New Mexico is exploring why lung cancer happens and how to better prevent and detect it.
-
Integrative Analysis of Lung Cancer Risk and Causes
A large NIH project is exploring how tobacco use, behavior, biology, and screening practices influence lung cancer risk and outcomes to help prevent and detect it earlier.
-
Digital health strategies to expand lung cancer screening in safety-net clinics
A funded project aims to help low-resource clinics increase the use of lung cancer screening for patients who smoke or are at risk.
-
Proteomics-guided matching of lung cancer tumors to preclinical models
This grant aims to improve how we match a patient’s lung cancer tumor to the right preclinical models using protein data.
-
Optimizing lung cancer care with smart tools for prevention, early detection, treatment, and survivorship
A U01 grant using AI and biomarkers to improve lung cancer prevention, screening, treatment, and survivorship care for people at risk or living with lung cancer.
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.