
Prognostic factors in breast cancer patients evaluated by positron-emission tomography/computed tomography before neoadjuvant chemotherapy
Author(s) -
Mark Farrugia,
Sinjen Wen,
Geraldine M. Jacobson,
Mohamad A. Salkeni
Publication year - 2018
Publication title -
world journal of nuclear medicine
Language(s) - English
Resource type - Journals
eISSN - 1607-3312
pISSN - 1450-1147
DOI - 10.4103/wjnm.wjnm_84_17
Subject(s) - medicine , breast cancer , positron emission tomography , proportional hazards model , standardized uptake value , oncology , cancer , univariate analysis , neoadjuvant therapy , stage (stratigraphy) , chemotherapy , nuclear medicine , multivariate analysis , paleontology , biology
Neoadjuvant chemotherapy (NAC) is a significant modality in breast cancer therapy. We sought to characterize prognostic factors in patients scheduled for NAC who had a pretreatment positron-emission tomography paired with diagnostic quality contrast-enhanced computed tomography (CT) (positron-emission tomography/CT [PET/CT]). A total of 118 breast cancer patients were analyzed through chart review who underwent pretreatment PET/CT imaging and received NAC from 2008 to 2014. We collected information on molecular markers, PET/CT, pathologic complete response (pCR), survival, and disease status. Pretreatment standard uptake value (SUV) max of the primary breast tumor showed no relationship to pCR; however, there was a statistically significant relationship with relapse-free survival (RFS) using univariate cox regression ( P = 0.03, odds ratio (OR) = 1.06 [1.01-1.12]) with comparable findings observed with overall survival (OS). Multivariate analysis revealed SUV max to be significantly correlated with shortened OS ( P = 0.022, OR = 1.08 [1.01-1.16]), with a similar trend reported for RFS. By pathological subtype, this correlation was the strongest within hormone receptor (HR+)/human epidermal growth factor receptor 2 (HER2-) tumors. In addition, Kaplan-Meier estimates demonstrated a significant difference between the RFS of triple-negative tumors and HER2 positive tumors ( P = 0.001). Interestingly, within this cohort, multivariate Cox regression analysis showed HER2 positivity to be associated with favorable outcome ( P = 0.04, HR = 0.22 [0.05-0.94]). These findings demonstrate a significant association between SUV max of HR+/HER2-- tumors and relapse-free and OS. Furthermore, highlighted here is the favorable survival in the once classically aggressive HER2+ breast cancer subgroup.