Elsamany Shereef, Elmorsy Soha, Alzahrani Abdullah, Rasmy Ayman, Abozeed Waleed N, Mohammed Amrallah A, Sherisher Mohamed A, Abbas Mohammed M, Mashhour Miral
Oncology, King Abdullah Medical City, Makkah, Saudi Arabia E-mail :
Asian Pac J Cancer Prev. 2015;16(17):7975-9. doi: 10.7314/apjcp.2015.16.17.7975.
This study aimed to explore the value of IHC4 in predicting pathological response after neoadjuvant chemotherapy in patients with hormonal receptor (HR)-positive breast cancer (BC).
In this retrospective exploratory study, data for 68 HR-positive BC patients who received neoadjuvant chemotherapy were recorded. IHC4 scores were calculated based on estrogen receptors/progesterone receptors, Ki-67 and HER2 status. Logistic and ordinal regression analyses in addition to likelihood ratio test were used to explore associations of IHC4 scores and other clinico-pathological parameters with pathological complete response (pCR) and pathological stage.
Taking the 25th percentile as the cut-off, a lower IHC4 score was associated with an increased probability of pCR (low; 52.9% vs. High; 21.6%, OR=4.1, 95% CI= 1.28-13.16, p=0.018) and a lower pathological stage (OR =3.9, 95% CI=1.34-11.33, p=0.012). When the IHC4 score was treated as a continuous variable, a lower score was again associated with an increased probability of pCR (OR=1.010, 95% CI=1.001-1.018, p=0.025) and lower pathological stage (OR=1.009, 95% CI= 1.002-1.017, P=0.008). Lower clinical stage was associated with a better pCR rate that was of borderline significance (P=0.056). When clinical stage and IHC4 score were incorporated together in a logistic model, the likelihood ratio test gave a P-value of 0.004 after removal of the IHC4 score and 0.011 after removal of the stage, indicating a more significant predictive value of the IHC4 score for pCR.
This study suggests that the IHC4 score can predict pathological response to neoadjuvant chemotherapy in HR-positive BC patients. This finding now needs to be validated in a larger cohort of patients.
本研究旨在探讨免疫组化4(IHC4)在预测激素受体(HR)阳性乳腺癌(BC)患者新辅助化疗后病理反应中的价值。
在这项回顾性探索性研究中,记录了68例接受新辅助化疗的HR阳性BC患者的数据。基于雌激素受体/孕激素受体、Ki-67和HER2状态计算IHC4评分。除似然比检验外,还采用逻辑回归和有序回归分析来探讨IHC4评分及其他临床病理参数与病理完全缓解(pCR)和病理分期的相关性。
以第25百分位数为临界值,较低的IHC4评分与pCR概率增加相关(低;52.9%对高;21.6%,OR = 4.1,95%CI = 1.28 - 13.16,p = 0.018)以及较低的病理分期相关(OR = 3.9,95%CI = 1.34 - 11.33,p = 0.012)。当将IHC4评分视为连续变量时,较低的评分再次与pCR概率增加相关(OR = 1.010,95%CI = 1.001 - 1.018,p = 0.025)以及较低的病理分期相关(OR = 1.009,95%CI = 1.002 - 1.017,P = 0.008)。较低的临床分期与更好的pCR率相关,具有临界显著性(P = 0.056)。当将临床分期和IHC4评分纳入逻辑模型时,在去除IHC4评分后似然比检验的P值为0.004,在去除分期后为0.011,表明IHC4评分对pCR的预测价值更显著。
本研究表明,IHC4评分可预测HR阳性BC患者对新辅助化疗的病理反应。这一发现现在需要在更大的患者队列中进行验证。