Multi-omic machine learning predictor of breast cancer therapy response

Publication: Nature

Stephen-John Sammut, Mireia Crispin-Ortuzar, Suet-Feung Chin, Elena Provenzano, Helen A. Bardwell, Wenxin Ma, Wei Cope, Ali Dariush, Sarah-Jane Dawson, Jean E. Abraham, Janet Dunn, Louise Hiller, Jeremy Thomas, David A. Cameron, John M. S. Bartlett, Larry Hayward, Paul D. Pharoah, Florian Markowetz, Oscar M. Rueda, Helena M. Earl & Carlos Caldas

7 December 2021


Summary

Breast cancers are complex ecosystems of malignant cells and tumour microenvironment.

The composition of these tumour ecosystems and interactions within them contribute to cytotoxic therapy response. Researchers collected clinical, digital pathology, genomic and transcriptomic profiles of pre-treatment biopsies of breast tumours from 168 patients treated with chemotherapy +/- HER2-targeted therapy prior to surgery.

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