Deep Ovarian Cancer Metabolomics
Funded at Georgia Institute of Technology · NIH-11391144 · Data updated 2026-11-12
A study to understand the chemical changes in blood and ovarian tissue from ovarian cancer in mouse models, with the goal of finding biomarkers that could help detect the disease earlier in people.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Georgia Institute of Technology NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project start | September 20, 2018 |
| Project end | July 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $1,351,118 |
| NIH project number | 4R01CA218664-08 |
| Project ID | NIH-11391144 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates would be individuals at risk for or diagnosed with ovarian cancer, particularly those with BRCA1/2 mutations or related conditions, in future translational steps.
✕Less likely to help
Early-stage research in mice may not directly benefit patients in the short term.
What this research studies
This project maps metabolic changes in serum and ovarian tissue from mouse models of high-grade serous ovarian cancer to identify biomarker panels. It aims to understand how early metabolic shifts occur as the disease develops, which could lead to earlier detection in patients. By studying hormone influences on tumor progression, the work may reveal new angles for preventing or diagnosing ovarian cancer sooner. Results could guide future tests that help women be diagnosed at a stage when treatment is more likely to succeed.
Why it matters
Potential benefit: If successful, the research could lead to earlier, more accurate biomarkers for ovarian cancer, potentially improving survival.
How similar studies have gone: Prior studies have shown that metabolic profiling can reveal disease-related biomarkers, with some success in related cancers.
Where this research is happening
-
Georgia Institute of Technology
Atlanta, United States Active
Researchers
- Principal investigator: Fernandez, Facundo Martin — Georgia Institute of Technology
- Study coordinator: Fernandez, Facundo Martin
Related research
Other NIH-funded projects on the same topics.
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Mapping metabolic changes in ovarian cancer
This project looks for chemical signals in blood and ovarian tissue that could help detect and understand ovarian cancer earlier in women.
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Investigating metabolic changes in ovarian cancer
This study is looking at how ovarian cancer affects the body's metabolism, using mice to find changes that could help doctors detect the disease earlier and improve treatment for patients like you.
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Understanding the experience of ovarian cancer after diagnosis to improve survivorship
This NIH grant funds a mixed-methods study to better understand physical and emotional challenges faced by ovarian cancer survivors and how supportive care can help them live better after diagnosis.
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Targeting quiescent ovarian cancer cells to overcome chemotherapy resistance
A study focusing on why some ovarian cancer cells pause dividing and resist chemotherapy, with the goal of finding new treatment targets for relapsed disease.
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Newborn screening: using gene and metabolite data to refine true vs false positives
A study using genetic and metabolomic data from newborn blood spots to better distinguish real metabolic disorders from false alarms.
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Photodynamic lipids to boost chemotherapy for metastatic ovarian cancer
A patient-friendly approach tests a light-activated method to make ovarian cancer metastases more sensitive to chemotherapy.
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.