A Multiparameter Molecular Classifier to Predict Response to Neoadjuvant Lapatinib plus Trastuzumab without Chemotherapy in HER2+Breast Cancer

被引:6
作者
Veeraraghavan, Jamunarani [1 ,2 ,3 ]
Gutierrez, Carolina [1 ,2 ,4 ]
De Angelis, Carmine [1 ,2 ,3 ]
Davis, Robert [1 ,2 ,3 ]
Wang, Tao [1 ,2 ,3 ]
Pascual, Tomas [5 ,6 ]
Selenica, Pier [7 ]
Sanchez, Katherine [1 ,3 ]
Nitta, Hiroaki [8 ]
Kapadia, Monesh [8 ]
Pavlick, Anne C. [1 ,2 ]
Galvan, Patricia [6 ]
Rexer, Brent [9 ]
Forero-Torres, Andres [10 ]
Nanda, Rita [11 ]
Storniolo, Anna M. [12 ]
Krop, Ian E. [13 ]
Goetz, Matthew P. [14 ]
Nangia, Julie R. [2 ]
Wolff, Antonio C. [15 ]
Weigelt, Britta [7 ]
Reis-Filho, Jorge S. [7 ]
Hilsenbeck, Susan G. [1 ,2 ,3 ]
Prat, Aleix [5 ,6 ]
Osborne, C. Kent [1 ,2 ,3 ,16 ]
Schiff, Rachel [1 ,2 ,3 ,16 ]
Rimawi, Mothaffar F. [1 ,2 ,3 ]
机构
[1] Baylor Coll Med, Lester & Sue Smith Breast Ctr, Houston, TX USA
[2] Baylor Coll Med, Dan L Duncan Comprehens Canc Ctr, Houston, TX USA
[3] Baylor Coll Med, Dept Med, Houston, TX USA
[4] Baylor Coll Med, Dept Pathol, Houston, TX USA
[5] Hosp Clin Barcelona, IDIBAPS, Translat Genom & Targeted Therapies Solid Tumors, Barcelona, Spain
[6] SOLTI Canc Res Grp, Barcelona, Spain
[7] Mem Sloan Kettering Canc Ctr, Dept Pathol & Lab Med, Manhattan, KS USA
[8] Roche Tissue Diagnost, Tucson, AZ USA
[9] Vanderbilt Univ, Nashville, TN USA
[10] Univ Alabama Birmingham, Birmingham, AL USA
[11] Univ Chicago, Chicago, IL USA
[12] Indiana Univ Sch Med, Indianapolis, IN USA
[13] Dana Farber Canc Inst, Boston, MA USA
[14] Mayo Clin, Rochester, MN USA
[15] Johns Hopkins Univ, Baltimore, MD USA
[16] Baylor Coll Med, Dept Mol & Cellular Biol, Houston, TX USA
关键词
GROWTH-FACTOR RECEPTOR; PATHOLOGICAL COMPLETE RESPONSE; BREAST-CANCER; PIK3CA MUTATIONS; INTRATUMORAL HETEROGENEITY; OPEN-LABEL; PHASE-II; PERTUZUMAB; MULTICENTER; PACLITAXEL;
D O I
10.1158/1078-0432.CCR-22-3753
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: Clinical trials reported 25% to 30% pathologic complete response (pCR) rates in HER2+ patients with breast cancer treated with anti-HER2 therapies without chemother-apy. We hypothesize that a multiparameter classifier can identify patients with HER2-"addicted" tumors who may ben-efit from a chemotherapy-spa ring strategy.Experimental Design: Baseline HER2+ breast cancer speci-mens from the TBCRC023 and PAMELA trials, which included neoadjuvant treatment with lapatinib and trastuzumab, were used. In the case of estrogen receptor-positive (ER+) tumors, endocrine therapy was also administered. HER2 protein and gene amplification (ratio), HER2-enriched (HER2-E), and PIK3CA mutation status were assessed by dual gene protein assay (GPA), research-based PAM50, and targeted DNA-sequencing. GPA cutoffs and classifier of response were con-structed in TBCRC023 using a decision tree algorithm, then validated in PAMELA.Results: In TBCRC023, 72 breast cancer specimens had GPA, PAM50, and sequencing data, of which 15 had pCR. Recursive partitioning identified cutoffs of HER2 ratio >-4.6 and %3+ IHC staining >-97.5%. With PAM50 and sequencing data, the model added HER2-E and PIK3CA wild-type (WT). For clinical imple-mentation, the classifier was locked as HER2 ratio >-4.5, %3+ IHC staining >-90%, and PIK3CA-WT and HER2-E, yielding 55% and 94% positive (PPV) and negative (NPV) predictive values, respec-tively. Independent validation using 44 PAMELA cases with all three biomarkers yielded 47% PPV and 82% NPV. Importantly, our classifier's high NPV signifies its strength in accurately identifying patients who may not be good candidates for treatment deescalation.Conclusions: Our multiparameter classifier differentially iden-tifies patients who may benefit from HER2-targeted therapy alone from those who need chemotherapy and predicts pCR to anti-HER2 therapy alone comparable with chemotherapy plus dual anti-HER2 therapy in unselected patients.
引用
收藏
页码:3101 / 3109
页数:9
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