Understanding and Predicting Severe Fatigue in Cancer Patients
Official title: An Investigation of the Molecular Mechanisms for and Prediction of the Severity of Cancer Chemotherapy-Related Fatigue Using a Multi-staged Integrated Omics Approach
Funded at University of California, San Francisco · NIH-11136232 · Data updated 2026-11-12
This research aims to understand why some cancer patients experience severe fatigue during and after treatment, and to develop ways to predict who might be most affected.
Quick facts
| Grant type | R37 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | July 3, 2019 |
| Project end | June 30, 2026 |
| Funding year | 2025 |
| Award (this year) | $657,307 |
| NIH project number | 5R37CA233774-07 |
| Project ID | NIH-11136232 on NIH RePORTER |
Who could benefit from this research
✓Could help
This research is relevant for cancer patients who are undergoing or have recently completed chemotherapy and radiation therapy and are experiencing or at risk for cancer-related fatigue.
✕Less likely to help
Patients who are not undergoing cancer treatment or who do not experience cancer-related fatigue may not directly benefit from this specific research.
What this research studies
Many people undergoing cancer treatment, especially chemotherapy and radiation, experience extreme tiredness known as cancer-related fatigue (CRF), which can make it hard to continue treatment and enjoy life. We want to discover the biological reasons behind this severe fatigue and create a tool that can predict which patients are most likely to develop it. By using advanced techniques to look at many different biological markers, we hope to identify patterns that explain why some patients struggle more than others. This knowledge could help doctors offer personalized advice and support to manage fatigue before it becomes too severe.
Why it matters
Potential benefit: If successful, this work could lead to better ways for doctors to identify patients at high risk for severe fatigue and provide early interventions to improve their quality of life during and after cancer treatment.
How similar studies have gone: While prior studies have noted an increase in CRF severity, this research aims to develop a novel predictive model and identify underlying mechanisms that are currently not well understood.
Where this research is happening
-
University of California, San Francisco
San Francisco, United States Active
Researchers
- Principal investigator: Kober, Kord Michael — University of California, San Francisco
- Study coordinator: Kober, Kord Michael
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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.