Five breast cancer subtypes uncovered using artificial intelligence

Written by Louis Gautier, Future Science Group

Photo credit: NCI NIH Visuals A study, published recently in the journal NPJ Breast Cancer, has applied a machine-learning algorithm to reveal genetic and molecular information about breast tumors. The researchers from the Institute of Cancer Research (ICR, London, UK) revealed essential differences in the efficacy of immunotherapy and the likelihood of relapse with certain treatments. Luminal A breast cancer tumors are among the most common in women in the UK, with 67% of breast cancer cases being of this subtype. However, this patient population often responds very differently to standard treatments such as Nolvadex© (tamoxifen), or immunotherapies, which are aimed at treating...

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