Creating a diagnostic test to subtype lung cancer
Official title: Development of a lung cancer subtyping diagnostic
Funded at Orbit Genomics, INC. · NIH-11007304 · Data updated 2026-11-12
This study is working on a new test that helps doctors figure out the specific type of lung cancer you might have, so they can choose the best treatment for you and avoid unnecessary tests.
Quick facts
| Grant type | Sbir 2 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Orbit Genomics, INC. NIH-funded |
| Lab location | 1 site (Boulder, United States) |
| Project start | September 18, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $999,554 |
| NIH project number | 1R44CA291262-01A1 |
| Project ID | NIH-11007304 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals diagnosed with lung cancer or those with indeterminate pulmonary nodules requiring further evaluation.
✕Less likely to help
Patients with lung cancer subtypes that are not addressed by this diagnostic test may not receive any benefit.
What this research studies
This research aims to develop a highly sensitive and specific diagnostic test that can accurately subtype lung cancer. By distinguishing between different subtypes of lung cancer, which vary in their pathology and treatment responses, the test will help doctors select the most effective therapies for patients. The approach involves enhancing an existing diagnostic tool that identifies benign versus malignant pulmonary nodules, thereby improving overall diagnostic accuracy and reducing unnecessary procedures. The research utilizes advanced algorithms and genomic data to refine the diagnostic process.
Why it matters
Potential benefit: If successful, this research could significantly improve lung cancer treatment outcomes by ensuring patients receive the most appropriate therapies based on their cancer subtype.
How similar studies have gone: Previous research has shown promise in developing diagnostic tests for cancer subtyping, indicating that this approach could lead to significant advancements in patient care.
Where this research is happening
-
Orbit Genomics, INC.
Boulder, United States Active
Researchers
- Principal investigator: Garner, Harold R — Orbit Genomics, INC.
- Study coordinator: Garner, Harold R
Related research
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Blood-based markers to identify lung cancer risk in never-smokers
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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
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Digital health strategies to expand lung cancer screening in safety-net clinics
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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.