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Browsing by Author "Prat, Aleix"
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Item A Multiparameter Molecular Classifier to Predict Response to Neoadjuvant Lapatinib plus Trastuzumab without Chemotherapy in HER2+ Breast Cancer(American Association for Cancer Research, 2023) Veeraraghavan, Jamunarani; Gutierrez, Carolina; De Angelis, Carmine; Davis, Robert; Wang, Tao; Pascual, Tomas; Selenica, Pier; Sanchez, Katherine; Nitta, Hiroaki; Kapadia, Monesh; Pavlick, Anne C.; Galvan, Patricia; Rexer, Brent; Forero-Torres, Andres; Nanda, Rita; Storniolo, Anna M.; Krop, Ian E.; Goetz, Matthew P.; Nangia, Julie R.; Wolff, Antonio C.; Weigelt, Britta; Reis-Filho, Jorge S.; Hilsenbeck, Susan G.; Prat, Aleix; Osborne, C. Kent; Schiff, Rachel; Rimawi, Mothaffar F.; Medicine, School of MedicinePurpose: Clinical trials reported 25% to 30% pathologic complete response (pCR) rates in HER2+ patients with breast cancer treated with anti-HER2 therapies without chemotherapy. We hypothesize that a multiparameter classifier can identify patients with HER2-"addicted" tumors who may benefit from a chemotherapy-sparing strategy. Experimental design: Baseline HER2+ breast cancer specimens 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 constructed 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 implementation, 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, respectively. 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 identifies 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.Item Adjuvant Trastuzumab Emtansine Versus Paclitaxel Plus Trastuzumab for Stage I Human Epidermal Growth Factor Receptor 2-Positive Breast Cancer: 5-Year Results and Correlative Analyses From ATEMPT(Wolters Kluwer, 2024) Tarantino, Paolo; Tayob, Nabihah; Villacampa, Guillermo; Dang, Chau; Yardley, Denise A.; Isakoff, Steven J.; Valero, Vicente; Faggen, Meredith; Mulvey, Therese; Bose, Ron; Weckstein, Douglas; Wolff, Antonio C.; Reeder-Hayes, Katherine; Rugo, Hope S.; Ramaswamy, Bhuvaneswari; Zuckerman, Dan; Hart, Lowell; Gadi, Vijayakrishna K.; Constantine, Michael; Cheng, Kit; Merrill Garrett, Audrey; Marcom, P. Kelly; Albain, Kathy; DeFusco, Patricia; Tung, Nadine; Ardman, Blair; Nanda, Rita; Jankowitz, Rachel C.; Rimawi, Mothaffar; Abramson, Vandana; Pohlmann, Paula R.; Van Poznak, Catherine; Forero-Torres, Andres; Liu, Minetta C.; Ruddy, Kathryn J.; Waks, Adrienne G.; DeMeo, Michelle; Burstein, Harold J.; Partridge, Ann H.; Dell'Orto, Patrizia; Russo, Leila; Krause, Emma; Newhouse, Daniel J.; Kurt, Busem Binboğa; Mittendorf, Elizabeth A.; Schneider, Bryan; Prat, Aleix; Winer, Eric P.; Krop, Ian E.; Tolaney, Sara M.; Consortium of the TBCRC Translational Investigators; TBCRC Translational Investigators; Medicine, School of MedicinePurpose: Long-term outcomes of patients with stage I human epidermal growth factor receptor 2 (HER2)-positive breast cancer receiving adjuvant trastuzumab emtansine (T-DM1) remain undefined, and prognostic predictors represent an unmet need. Methods: In the ATEMPT phase II trial, patients with stage I centrally confirmed HER2-positive breast cancer were randomly assigned 3:1 to adjuvant T-DM1 for 1 year or paclitaxel plus trastuzumab (TH). Coprimary objectives were to compare the incidence of clinically relevant toxicities between arms and to evaluate invasive disease-free survival (iDFS) with T-DM1. Correlative analyses included the HER2DX genomic tool, multiomic evaluations of HER2 heterogeneity, and predictors of thrombocytopenia. Results: After a median follow-up of 5.8 years, 11 iDFS events were observed in the T-DM1 arm, consistent with a 5-year iDFS of 97.0% (95% CI, 95.2 to 98.7). At 5 years, the recurrence-free interval (RFI) was 98.3% (95% CI, 97.0 to 99.7), the overall survival was 97.8% (95% CI, 96.3 to 99.3), and the breast cancer-specific survival was 99.4% (95% CI, 98.6 to 100). Comparable iDFS was observed with T-DM1 irrespective of tumor size, hormone receptor status, centrally determined HER2 immunohistochemical score, and receipt of T-DM1 for more or less than 6 months. Although ATEMPT was not powered for this end point, the 5-year iDFS in the TH arm was 91.1%. Among patients with sufficient tissue for HER2DX testing (n = 187), 5-year outcomes significantly differed according to HER2DX risk score, with better RFI (98.1% v 81.8%, hazard ratio [HR], 0.10, P = .01) and iDFS (96.3% v 81.8%, HR, 0.20, P = .047) among patients with HER2DX low-risk versus high-risk tumors, respectively. Conclusion: Adjuvant T-DM1 for 1 year leads to outstanding long-term outcomes for patients with stage I HER2-positive breast cancer. A high HER2DX risk score predicted a higher risk of recurrence in ATEMPT.