Computerized tissue image analysis reveals underlying genomics of ER+ breast cancer

Breast cancer tissue shows high (left) and low (right) tubule formation. The lumen is delineated by blue lines, tubules by orange lines. Green dots mark tubule nuclei and red dots nontubule nuclei determined by the machine learning classifier. In the right panel, which was also identified as low risk by a genomic assay, the cells appear to have lost their capacity to form tubules with well-defined lumen. Credit: Case Western Reserve University The number of tubules in tumors may predict which women with estrogen receptor positive (ER+) breast cancer will benefit from hormone therapy alone and which require chemotherapy, researchers at Case Western Reserve University have found. Tubules represent the tumor’s vasculature, providing tumors with oxygen and nutrition. The more of them there are, the more likely a patient will…


Link to Full Article: Computerized tissue image analysis reveals underlying genomics of ER+ breast cancer

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