Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies

M. Wolf, Denise; Yau, Christina; Wulfkuhle, Julia; Brown Swigart, Lamorna; I. Gallagher, Rosa; Rong Evelyn Lee, Pei; Zhu, Zelos; Jesus M. Magbanua, Mark; W. Sayaman, Rosalyn; O’Grady, Nicholas; Basu, Amrita; L. Delson, Amy; Philippe Coppé, Jean; Lu, Ruixiao; J. Braun, Jerome; Asare, Smita; Sit, Laura; B. Matthews, Jeffrey; Perlmutter, Jane; M. Hylton, Nola; C. Liu, Minetta; R. Pohlmann, Paula; Fraser Symmans, W.; S. Rugo, Hope; Isaacs, Claudine; DeMichele, Angela; Yee, Douglas; A. Berry, Donald; Pusztai, Lajos; F. Petricoin, Emanuel; L. Hirst, Gillian; J. Esserman, Laura; van ‘t Veer, Laura

doi:10.1016/j.ccell.2022.05.005

Public

Redefining breast cancer subtypes to guide treatment prioritization and maximize response: Predictive biomarkers across 10 cancer therapies

Published in Cancer Cell • May 26, 2022

Authors:

Denise M. Wolf

Christina Yau

Julia Wulfkuhle

Abstract

subsets (>15%). As new treatments are introduced, the subtyping schema determines the minimum response needed to show efficacy. This data platform provides an unprecedented resource and supports the usage of response-based subtypes to guide future treatment prioritization.

Subject

Oncology

Breast cancer

Subtyping

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