scholarly journals Evaluation of Pathologic Complete Response (pCR) to Neoadjuvant Chemotherapy in Iranian Breast Cancer Patients with Estrogen Receptor Positive and HER2 Negative and impact of predicting variables on pCR

2020 ◽  
Vol 16 (3) ◽  
pp. 213-218
Author(s):  
Ramesh Omranipour ◽  
◽  
Roghiyeh Jalili ◽  
Adel Yazdankhahkenary ◽  
Abdolali Assarian ◽  
...  
2021 ◽  
Author(s):  
Lingfeng Tang ◽  
Xiujie Shu ◽  
Gang Tu

Abstract Background: The purpose of this study was to evaluate the factors associated with achieving pathologic complete response (pCR) after neoadjuvant chemotherapy (NACT) in estrogen receptor-positive(ER+) breast cancer patients, and develop a nomogram that predict the probability of achieving pCR after NACT in ER+ breast cancer patients.Methods: A total of 431 ER+ breast cancer patients who received four cycles of thrice-weekly standard NACT and subsequently underwent surgery in the first affiliated hospital of Chongqing medical university were retrospectively enrolled, and data on their pretreatment clinicopathologic features and multiple laboratory indexes were collected. The optimal cut-off values of age, NLR, PLR and FBG were determined by the Youden index. The least absolute shrinkage and selection operator regression model was used to optimize feature selection. Forward stepwise multivariable logistic regression analysis was applied to identify predictive factors for achieving pCR after NACT. A nomogram was then developed according to the logistic model. Discrimination, calibration, and clinical usefulness of the predicting model were assessed using the C-index, receiver operating characteristic curve, calibration plot, and decision curve analysis.Results: pCR was achieved in 59 (13.7%) patients after NACT. Multivariate analysis identified four independent factors, including tumor size, ER expression, Ki67 index and histological grade. The nomogram established based on these factors showed its discriminatory ability, with the area under the curve (AUC) of 0.774 (95% confidence interval 0.708–0.841) and the C-index was 0.809 (95% CI: 0.751–0.867). The calibration curve showed that the predictive ability of the nomogram was a good fit to actual observation. The decision curve showed that if the threshold is 13% and 65%, using this nomogram can obtain more benefit.Conclusions: The nomogram exhibited a sufficient discriminatory ability for predicting pCR of NACT in ER+ breast cancer patients.


BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
In Hee Lee ◽  
Soo Jung Lee ◽  
Jeeyeon Lee ◽  
Jin Hyang Jung ◽  
Ho Yong Park ◽  
...  

Abstract Background Pathologic complete response (pCR) after neoadjuvant chemotherapy (NAC) is a predictor of improved outcomes in breast cancer. In patients with hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2) -negative breast cancer, the response to NAC is variable and mostly limited. This study was an investigation of the predictive relevance of parameters of 18F-FDG PET/CT for the pCR to NAC in patients with HR-positive, HER2–negative breast cancer. Methods: AH total of 109 consecutive HR-positive and HER2-negative breast cancer patients who were treated with NAC were enrolled in this prospective cohort study. The relationships between pretreatment 18F-FDG PET/CT and clinical outcomes including pathologic response to NAC were evaluated. Results: All patients finished their planned NAC cycles and eight patients (7.3%) achieved pCR. In the receiver operating characteristic (ROC) curve analysis, pSUVmax exhibited high sensitivity and specificity for predicting pCR. Furthermore, multivariate logistic regression analysis revealed pSUVmax as a predictive factor for pCR (hazard ratio = 17.452; 95% CI = 1.847–164.892; p = 0.013). Conclusion The results of this study suggest that 18F-FDG PET/CT pSUVmax is a predictive factor for pCR of HR-positive, HER2-negative breast cancer to NAC.


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