Abstract
ObjectiveTo investigate the ability of tumor stiffness, tumor blood flow, and Ki-67 expression alone or in combination in predicting the pathological response to neoadjuvant chemotherapy (NACT) in breast cancer.Patients and MethodsThis prospective cohort study included 145 breast cancer patients treated with NACT. Tumor stiffness (maximum stiffness (Emax), mean stiffness (Emean)), blood score (BS), and their relative changes, were evaluated before (t0), during (t1–t5), and at the end of NACT (t6) by shear-wave elastography and optical imaging. Ki-67 expression was quantitatively evaluated by immunohistochemistry using core biopsy specimens obtained before NACT. Pathological responses were evaluated by residual cancer burden. The ability of tumor stiffness, BS, Ki-67, and predRCB—which combined ΔEmean (t2) (the relative changes in Emean after the second NACT cycle), BS2 (BS after the second NACT cycle), and Ki-67—in predicting tumor responses was compared using receiver operating characteristic curves and the Z-test.ResultsTumor stiffness and BS decreased during NACT. ΔEmean (t2), BS2, and Ki-67 had better predictive performance than other indexes in identifying a favorable response (AUC = 0.82, 0.81, and 0.80) and resistance responses (AUC = 0.85, 0.79, and 0.84), with no significant differences between the three (p > 0.05). PredRCB had better predictive performance than any parameter alone for a favorable response (AUC = 0.90) and resistance (AUC = 0.93).ConclusionTumor stiffness, BS, and Ki-67 expression showed good and similar abilities for predicting the pathological response to NACT, and predRCB was a significantly better predictor than each index alone. These results may help design therapeutic strategies for breast cancer patients undergoing NACT.
Highlights
Neoadjuvant chemotherapy (NACT) is widely used for the treatment of large or locally advanced breast cancer (BC)
Ki-67, ER positivity, PR positivity in ‘Immunohistochemical marker’, molecular subtype, and clinical stage were different among the three groups (p < 0.05)
Only Ki-67 can be used for receiver operating characteristics (ROC) analysis because it is a continuous variable
Summary
Neoadjuvant chemotherapy (NACT) is widely used for the treatment of large or locally advanced breast cancer (BC). The response to NACT differs among individuals. Pathological complete response (pCR) is a significant predictor of overall survival and disease-free survival in BC, and approximately 20% of patients achieve pCR after NACT [1]. Certain risk factors may lead to chemotherapy resistance [2]. The ability to predict nonresponders in the early stages of chemotherapy would allow response-guided modification of treatment, thereby improving survival outcomes. Identifying robust predictors of the response to NACT remains challenging because of the use of multiple drug combinations, the genetic variability of tumors, and the variability of outcome measures in available studies
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