Exploring ways to prevent, detect, and treat lung cancer more effectively.
Official title: Comparative Modeling of Lung Cancer Prevention, Early Detection and Treatment Interventions
Funded at Provincial Health Services Authority · NIH-10693842 · Data updated 2026-11-12
This study is looking at different ways to help lower the number of people who die from lung cancer, focusing on things like stopping smoking, better screening methods, and new treatments, so that patients can learn about effective ways to prevent and treat this disease.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Provincial Health Services Authority NIH-funded |
| Lab location | 1 site (Vancouver, Canada) |
| Project start | December 3, 2022 |
| Project end | August 31, 2026 |
| Funding year | 2023 |
| Award (this year) | $1,523,795 |
| NIH project number | 5U01CA253858-05 |
| Project ID | NIH-10693842 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals at risk for lung cancer, particularly smokers or former smokers, and those interested in lung cancer screening.
✕Less likely to help
Patients with no history of tobacco use or those with advanced lung cancer may not benefit from this research.
What this research studies
This research investigates various strategies to reduce lung cancer mortality, which is a leading cause of cancer-related deaths. It focuses on the impact of tobacco control measures, advancements in lung cancer screening, and innovative treatment options. By modeling these interventions, the research aims to understand how they can work together to improve patient outcomes and reduce lung cancer rates. Patients may benefit from insights into effective prevention and treatment strategies that could be implemented in the future.
Why it matters
Potential benefit: If successful, this research could lead to more effective prevention and treatment strategies for lung cancer, ultimately saving lives.
How similar studies have gone: Previous research has shown success in similar modeling approaches for cancer prevention and treatment, indicating potential for impactful findings.
Where this research is happening
-
Provincial Health Services Authority
Vancouver, Canada Active
Researchers
- Principal investigator: Meza, Rafael — Provincial Health Services Authority
- Study coordinator: Meza, Rafael
Related research
Other NIH-funded projects on the same topics.
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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.
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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.