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Showing 1–2 of 2 results
Advanced filters: Author: Eltjona Mane Clear advanced filters
  • The authors develop multimodal machine learning models to infer metastatic recurrence risk for early-stage, hormone receptor-positive breast cancer from H&E images using >6000 cases across three centers, outperforming a nomogram and unimodal methods.

    • Kevin M. Boehm
    • Omar S. M. El Nahhas
    • Jakob Nikolas Kather
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-14
  • Mismatch repair pathway is frequently dysregulated across cancer types, commonly represented by loss of MLH1 or MSH2 gene expression. Here the authors model MLH1 missense mutations from patients to study how cytoplasmic localization of MLH1, promotes resistance to endocrine therapy but predicts response to cell cycle inhibitors in breast cancer.

    • Aloran Mazumder
    • Jerry Dewitt
    • Svasti Haricharan
    ResearchOpen Access
    Nature Communications
    Volume: 17, P: 1-19