Prognostic Significance of Modified Residual Disease in Breast and Nodes (mRDBN) Algorithm After Neoadjuvant Chemotherapy for Breast Cancer

Autor: Shannon Puhalla, Rohit Bhargava, Emilia J Diego, David J. Dabbs, Alessandra Landmann, Adam Brufsky, Beth Z. Clark, Rachel C. Jankowitz, Priscilla F. McAuliffe, Daniel J. Farrugia, Gretchen M. Ahrendt
Rok vydání: 2018
Předmět:
Zdroj: American Journal of Clinical Pathology. 149:332-343
ISSN: 1943-7722
0002-9173
DOI: 10.1093/ajcp/aqx168
Popis: Objectives We hypothesized that prognostic accuracy of the residual disease in breast and lymph nodes (RDBN) method, which is calculated using residual tumor size, nodal involvement, and tumor grade, may be improved by incorporating residual tumor cellularity. Methods Cases included 614 patients who underwent neoadjuvant therapy for breast cancer. Tumor size was adjusted for residual cellularity of invasive carcinoma and used to calculate modified RDBN (mRDBN) and compared with unmodified gross tumor size (gRDBN). Results RDBN could be calculated in 428 cases. Relative risks of recurrence and death were significantly higher for RDBN-3 and RDBN-4 compared with RDBN-1. Kaplan-Meier analysis showed significant differences in disease-free survival and overall survival for estrogen receptor (ER)-negative/human epidermal growth factor receptor 2 (HER2)-negative and ER-positive/HER2-negative subgroups (P < .0001). Conclusions Both mRDBN and gRDBN provide prognostic information, particularly in HER2-negative carcinoma; however, mRDBN showed better stratification of RDBN-3 and RDBN-4 patients.
Databáze: OpenAIRE