New Breast Cancer Test Spots Hidden Pattern Linked to Survival Chances
Summary
Researchers at Columbia University have developed a new way to diagnose and grade breast cancer. They use a math method called topology to turn images of tumor tissue into numbers that better predict patient survival and treatment success than traditional methods.Key Facts
- Breast cancer is usually graded by looking at tissue samples under a microscope to see how much cancer cells differ from normal cells.
- The new method uses topology, a branch of math, to study the layout and patterns of tumor and immune cells in tissue samples.
- Researchers analyzed tumor samples from over 550 breast cancer patients using this math-based approach.
- The topology-based scores predicted survival rates more accurately than traditional biomarkers.
- This new method works equally well for patients of different racial and ethnic backgrounds.
- It also helped predict how patients would respond to treatments in clinical trials.
- The study found links between low topology scores and cancer behaviors like metabolism changes and spreading.
- Researchers hope this approach can be added to current pathology tests to improve personalized breast cancer treatment.
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