Investigating metabolic changes in ovarian cancer
Official title: Deep Ovarian Cancer Metabolomics
Funded at Georgia Institute of Technology · NIH-10979871 · Data updated 2026-11-12
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.
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 | 2024 |
| Award (this year) | $476,813 |
| NIH project number | 2R01CA218664-06A1 |
| Project ID | NIH-10979871 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include women at high risk for ovarian cancer, particularly those with BRCA1/2 mutations or a family history of the disease.
✕Less likely to help
Patients with advanced-stage ovarian cancer or those without a genetic predisposition to the disease may not benefit from this research.
What this research studies
This research focuses on understanding the metabolic changes associated with ovarian cancer, particularly high-grade serous ovarian cancer. By studying mouse models, the team aims to identify specific metabolic alterations in serum and ovarian tissues that could serve as biomarkers for early detection. The research seeks to develop effective screening strategies that could improve early diagnosis and treatment outcomes for patients. The findings may lead to a better understanding of how ovarian cancer develops and progresses, potentially informing future therapeutic approaches.
Why it matters
Potential benefit: If successful, this research could lead to the development of new biomarkers for early detection of ovarian cancer, significantly improving survival rates.
How similar studies have gone: Previous research has shown promise in identifying metabolic biomarkers for cancer detection, suggesting that this approach could yield valuable insights.
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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Deep Ovarian Cancer Metabolomics
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.
-
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.
-
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.
-
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.
-
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.