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

被引:162
作者
Wolf, Denise M. [1 ]
Yau, Christina [2 ]
Wulfkuhle, Julia [3 ]
Brown-Swigart, Lamorna [1 ]
Gallagher, Rosa, I [3 ]
Lee, Pei Rong Evelyn [1 ]
Zhu, Zelos [2 ]
Magbanua, Mark J. [1 ]
Sayaman, Rosalyn [1 ]
O'Grady, Nicholas [2 ]
Basu, Amrita [2 ]
Delson, Amy [4 ]
Coppe, Jean Philippe [1 ]
Lu, Ruixiao [5 ]
Braun, Jerome [5 ]
Asare, Smita M. [5 ]
Sit, Laura [2 ]
Matthews, Jeffrey B. [2 ]
Perlmutter, Jane [6 ]
Hylton, Nola [7 ]
Liu, Minetta C. [8 ]
Pohlmann, Paula [9 ]
Symmans, W. Fraser [10 ]
Rugo, Hope S. [11 ]
Isaacs, Claudine [12 ]
DeMichele, Angela M. [13 ]
Yee, Douglas [14 ]
Berry, Donald A. [15 ]
Pusztai, Lajos [16 ]
Petricoin, Emanuel F. [3 ]
Hirst, Gillian L. [2 ]
Esserman, Laura J. [2 ]
Veer, Laura J. van 't [1 ]
机构
[1] Univ Calif San Francisco, Dept Lab Med, 2340 Sutter St, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Surg, San Francisco, CA 94143 USA
[3] George Mason Univ, Ctr Appl Prote & Mol Med, Manassas, VA USA
[4] Univ Calif San Francisco, Breast Sci Advocacy Core, San Francisco, CA 94143 USA
[5] Quantum Leap Healthcare Collaborat, San Francisco, CA 94118 USA
[6] Gemini Grp, Ann Arbor, MI 48107 USA
[7] Univ Calif San Francisco, Dept Radiol, San Francisco, CA 94143 USA
[8] Mayo Clin, Dept Surg, Rochester, MN 55905 USA
[9] Georgetown Univ, MedStar Georgetown Univ Hosp, Washington, DC 20057 USA
[10] Univ Texas MD Anderson Canc Ctr, Dept Pathol, Houston, TX 77030 USA
[11] Univ Calif San Francisco, Div Hematol Oncol, San Francisco, CA 94158 USA
[12] Georgetown Univ, Lombardi Comprehens Canc Ctr, Washington, DC 20007 USA
[13] Univ Penn, Perelman Sch Med, Philadelphia, PA 19104 USA
[14] Univ Minnesota, Dept Med, Box 736 UMHC, Minneapolis, MN 55455 USA
[15] Berry Consultants LLC, Austin, TX 78746 USA
[16] Yale Univ, Yale Sch Med, New Haven, CT 06510 USA
关键词
STANDARD NEOADJUVANT CHEMOTHERAPY; ADAPTIVE RANDOMIZATION; TREATMENT DECISIONS; 70-GENE SIGNATURE; CARBOPLATIN; TRIAL; AID;
D O I
10.1016/j.ccell.2022.05.005
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Using pre-treatment gene expression, protein/phosphoprotein, and clinical data from the I-SPY2 neoadjuvant platform trial (NCT01042379), we create alternative breast cancer subtypes incorporating tumor biology beyond clinical hormone receptor (HR) and human epidermal growth factor receptor-2 (HER2) status to better predict drug responses. We assess the predictive performance of mechanism-of-action biomarkers from similar to 990 patients treated with 10 regimens targeting diverse biology. We explore >11 subtyping schemas and identify treatment-subtype pairs maximizing the pathologic complete response (pCR) rate over the population. The best performing schemas incorporate Immune, DNA repair, and HER2/Luminal phenotypes. Subsequent treatment allocation increases the overall pCR rate to 63% from 51% using HR/HER2-based treatment selection. pCR gains from reclassification and improved patient selection are highest in HR+ 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.
引用
收藏
页码:609 / +
页数:22
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