Pathologic Complete Response Predicts Recurrence-Free Survival More Effectively by Cancer Subset: Results From the I-SPY 1 TRIAL-CALGB 150007/150012, ACRIN 6657

被引:330
作者
Esserman, Laura J. [1 ]
Berry, Donald A. [3 ]
DeMichele, Angela [4 ]
Carey, Lisa [5 ]
Davis, Sarah E.
Buxton, Meredith
Hudis, Cliff [6 ]
Gray, Joe W. [9 ,10 ]
Perou, Charles [5 ]
Yau, Christina
Livasy, Chad [5 ]
Krontiras, Helen [12 ]
Montgomery, Leslie [8 ]
Tripathy, Debasish [2 ]
Lehman, Constance [13 ]
Liu, Minetta C. [11 ]
Olopade, Olufunmilayo I. [14 ]
Rugo, Hope S.
Carpenter, John T. [12 ]
Dressler, Lynn [5 ]
Chhieng, David [15 ]
Singh, Baljit [7 ]
Mies, Carolyn [4 ]
Rabban, Joseph
Chen, Yunn-Yi
Giri, Dilip [6 ]
van 't Veer, Laura
Hylton, Nola
机构
[1] Univ Calif San Francisco, Breast Care Ctr, San Francisco, CA 94115 USA
[2] Univ So Calif, Los Angeles, CA USA
[3] Univ Texas MD Anderson Canc Ctr, Houston, TX 77030 USA
[4] Univ Penn, Philadelphia, PA 19104 USA
[5] Univ N Carolina, Chapel Hill, NC USA
[6] Mem Sloan Kettering Canc Ctr, New York, NY 10021 USA
[7] NYU, New York, NY USA
[8] Albert Einstein Coll Med, Bronx, NY 10467 USA
[9] Oregon Hlth & Sci Univ, Portland, OR 97201 USA
[10] Lawrence Berkeley Natl Lab, Washington, DC USA
[11] Georgetown Univ, Washington, DC USA
[12] Univ Alabama Birmingham, Birmingham, AL USA
[13] Univ Washington, Seattle, WA 98195 USA
[14] Univ Chicago, Chicago, IL 60637 USA
[15] Yale Univ, New Haven, CT USA
关键词
SURGICAL ADJUVANT BREAST; NEOADJUVANT CHEMOTHERAPY; PREOPERATIVE CHEMOTHERAPY; RECEPTOR STATUS; TRASTUZUMAB; THERAPY; PACLITAXEL; DISEASE; DESIGN;
D O I
10.1200/JCO.2011.39.2779
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose Neoadjuvant chemotherapy for breast cancer provides critical information about tumor response; how best to leverage this for predicting recurrence-free survival (RFS) is not established. The I-SPY 1 TRIAL (Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging and Molecular Analysis) was a multicenter breast cancer study integrating clinical, imaging, and genomic data to evaluate pathologic response, RFS, and their relationship and predictability based on tumor biomarkers. Patients and Methods Eligible patients had tumors >= 3 cm and received neoadjuvant chemotherapy. We determined associations between pathologic complete response (pCR; defined as the absence of invasive cancer in breast and nodes) and RFS, overall and within receptor subsets. Results In 221 evaluable patients (median tumor size, 6.0 cm; median age, 49 years; 91% classified as poor risk on the basis of the 70-gene prognosis profile), 41% were hormone receptor (HR) negative, and 31% were human epidermal growth factor receptor 2 (HER2) positive. For 190 patients treated without neoadjuvant trastuzumab, pCR was highest for HR-negative/HER2-positive patients (45%) and lowest for HR-positive/HER2-negative patients (9%). Achieving pCR predicted favorable RFS. For 172 patients treated without trastuzumab, the hazard ratio for RFS of pCR versus no pCR was 0.29 (95% CI, 0.07 to 0.82). pCR was more predictive of RFS by multivariate analysis when subtype was taken into account, and point estimates of hazard ratios within the HR-positive/HER2-negative (hazard ratio, 0.00; 95% CI, 0.00 to 0.93), HR-negative/HER2-negative (hazard ratio, 0.25; 95% CI, 0.04 to 0.97), and HER2-positive (hazard ratio, 0.14; 95% CI, 0.01 to 1.0) subtypes are lower. Ki67 further improved the prediction of pCR within subsets. Conclusion In this biologically high-risk group, pCR differs by receptor subset. pCR is more highly predictive of RFS within every established receptor subset than overall, demonstrating that the extent of outcome advantage conferred by pCR is specific to tumor biology. J Clin Oncol 30:3242-3249. (C) 2012 by American Society of Clinical Oncology
引用
收藏
页码:3242 / 3249
页数:8
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