Tan Weige, Luo Wei, Jia Weijuan, Liang Gehao, Xie Xinhua, Zheng Wenbo, Song Erwei, Su Fengxi, Gong Chang
Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation and Breast Tumor Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Department of Breast Surgery, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Oncotarget. 2016 Dec 27;7(52):87312-87322. doi: 10.18632/oncotarget.13549.
Pathologic complete response (pCR) prediction after neoadjuvant chemotherapy (NAC) is important for clinical decision-making in breast cancer. This study investigated the predictive value of Nottingham prognostic index (NPI), Immunohistochemical four (IHC4) score and a new predictive index combined with them in estrogen-positive (ER+) breast cancer following NAC. We retrospectively gathered clinical data of 739 ER+ breast cancer patients who received NAC from two cancer centers. We developed a new predictive biomarker named NPI+IHC4 to predict pCR in ER+ breast cancer in a training set (n=443) and validated it in an external validation set (n=296). The results showed that a lower IHC4 score, NPI and NPI+IHC4 were significantly associated a high pCR rate in the entire cohort. In the study set, NPI+IHC4 showed a better sensitivity and specificity for pCR prediction (AUC 0.699, 95% CI 0.626-0.772) than IHC4 score (AUC 0.613, 95% CI 0.533-0.692), NPI (AUC 0.576, 95% CI 0.494-0.659), tumor size (AUC 0.556, 95% CI 0.481-0.631) and TNM stage (AUC 0.521, 95% CI 0.442-0.601). In the validation set, NPI+IHC4 had a better predictive value for pCR (AUC 0.665, 95% CI 0.579-0.751) than IHC4 score or NPI alone. In addition, ER+ patients with lower IHC4, NPI and NPI+IHC4 scores had significantly better DFS in both study and validation sets. In summary, NPI+IHC4 can predict pCR following NAC and prognosis in ER+ breast cancer, which is cost-effect and potentially more useful in guiding decision-making regarding NAC in clinical practice. Further validation is needed in prospective clinical trials with larger cohorts of patients.
新辅助化疗(NAC)后病理完全缓解(pCR)的预测对于乳腺癌的临床决策至关重要。本研究调查了诺丁汉预后指数(NPI)、免疫组织化学四项(IHC4)评分以及将它们结合起来的一种新预测指数在NAC后雌激素受体阳性(ER+)乳腺癌中的预测价值。我们回顾性收集了来自两个癌症中心的739例接受NAC的ER+乳腺癌患者的临床数据。我们开发了一种名为NPI+IHC4的新预测生物标志物,在一个训练集(n = 443)中预测ER+乳腺癌的pCR,并在一个外部验证集(n = 296)中对其进行验证。结果显示,在整个队列中,较低的IHC4评分、NPI和NPI+IHC4与较高的pCR率显著相关。在研究集中,NPI+IHC4对pCR预测的敏感性和特异性(AUC 0.699,95% CI 0.626 - 0.772)优于IHC4评分(AUC 0.613,95% CI 0.533 - 0.692)、NPI(AUC 0.576,95% CI 0.494 - 0.659)、肿瘤大小(AUC 0.556,95% CI 0.481 - 0.631)和TNM分期(AUC 0.521,95% CI 0.442 - 0.601)。在验证集中,NPI+IHC4对pCR的预测价值(AUC 0.665,95% CI 0.579 - 0.751)优于单独的IHC4评分或NPI。此外,在研究集和验证集中,IHC4、NPI和NPI+IHC4评分较低的ER+患者的无病生存期(DFS)明显更好。总之,NPI+IHC4可以预测NAC后的pCR以及ER+乳腺癌的预后,具有成本效益,在临床实践中指导NAC决策方面可能更有用。需要在更大患者队列的前瞻性临床试验中进行进一步验证。