Researchers from Case Western Reserve University are teaming with industry and other academics to develop a quick and inexpensive test to predict which women with estrogen receptor-positive (ER+) breast cancer need chemotherapy and which only need the more tolerable hormonal therapy.
The National Cancer Institute has awarded the group a $3.3 million, five-year grant to produce software that recognizes minute features in pathology images to distinguish between the two groups and develop an image-based risk score.
Estrogen receptor-positive is the most common form of breast cancer, with nearly one million women worldwide diagnosed with the disease annually. Medical guidelines recommend chemotherapy and hormonal therapy, even though researchers estimate that more than half of women who suffer from ER+ don’t require or benefit from harsh chemotherapy.
The only test to predict which women require chemo costs about $4,000 and takes up to two weeks to produce results. For many women, especially in developing nations, the test isn’t a realistic option.
“With this technology, any woman with suspected breast cancer will have a biopsy, the slides of which can be digitized and analyzed for pennies on the dollar,” said Anant Madabhushi, the F. Alex Nason professor II of biomedical engineering at Case Western Reserve and leader of the research. “This will be especially attractive in low- and middle-income countries. If you can accurately determine the cancer does not require chemotherapy, you are not only sparing the patient from the detrimental effects of the therapy, but sparing your resources.”
Because images can be sent electronically worldwide, patients would be able to receive their results in a day, even hours, saving them weeks of worry, the researchers say.
The academics are partnering with Florida-based Inspirata Inc., to develop a pathway to translate and commercialize the technology quickly.
