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  1. Article

    Open Access

    A deep learning image-based intrinsic molecular subtype classifier of breast tumors reveals tumor heterogeneity that may affect survival

    Breast cancer intrinsic molecular subtype (IMS) as classified by the expression-based PAM50 assay is considered a strong prognostic feature, even when controlled for by standard clinicopathological features su...

    Mustafa I. Jaber, Bing Song, Clive Taylor, Charles J. Vaske in Breast Cancer Research (2020)

  2. Article

    Open Access

    Cell of origin and mutation pattern define three clinically distinct classes of sebaceous carcinoma

    Sebaceous carcinomas (SeC) are cutaneous malignancies that, in rare cases, metastasize and prove fatal. Here we report whole-exome sequencing on 32 SeC, revealing distinct mutational classes that explain both ...

    Jeffrey P. North, Justin Golovato, Charles J. Vaske in Nature Communications (2018)

  3. Article

    Open Access

    Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome

    Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify integrated subtypes.

    Miriam Ragle Aure, Valeria Vitelli, Sandra Jernström in Breast Cancer Research (2017)