Liang Wei-Feng, Li Hui, Wu Jie-Ying, Liu Chang-Hao, Wu Miao-Fang, Li Jing
Department of Gynecology and Obstetrics, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, China.
Department of Gynecologic Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Front Oncol. 2020 Oct 5;10:560888. doi: 10.3389/fonc.2020.560888. eCollection 2020.
The chemotherapy response score (CRS) system is a reproducible prognostic tool for patients receiving neoadjuvant chemotherapy (NACT) for tubo-ovarian high-grade serous carcinoma (HGSC). Achieving CRS 3 following NACT can be used as a surrogate for progression-free survival (PFS) and overall survival (OS). This study aimed to identify predictors of CRS 3 and develop a predictive nomogram. Data were extracted from 106 HGSC patients receiving NACT. Logistic regression was used to identify independent predictors for CRS 3. A nomogram was established based on the multivariate regression model. All patients received three cycles of NACT, and CRS 3 was observed in 24 (22.6%) patients. Compared with patients in the CRS 1-2 group, patients in the CRS 3 groups had significantly improved PFS (log-rank test < 0.0001). The multivariate regression analysis identified post-NACT CA125, percent decrease in CA125, post-NACT human epididymis protein 4 (HE4), and post-NACT hemoglobin level as independent predictors of CRS 3. The Hosmer-Lemeshow test showed goodness-of-fit of this regression model ( = 0.272). The nomogram including these factors presented good discrimination (area under the curve = 0.82), good calibration (mean absolute error = 0.039), and a net benefit within the threshold probabilities of CRS 3 > 5%. We validated the prognostic role of the CRS system and developed a nomogram that predicts the possibility of CRS 3 following NACT. The nomogram helps to identify patients who would benefit the most from NACT. More studies are warranted to validate this model.
化疗反应评分(CRS)系统是一种可重复的预后工具,用于接受新辅助化疗(NACT)的输卵管卵巢高级别浆液性癌(HGSC)患者。NACT后达到CRS 3可作为无进展生存期(PFS)和总生存期(OS)的替代指标。本研究旨在确定CRS 3的预测因素并开发预测列线图。从106例接受NACT的HGSC患者中提取数据。采用逻辑回归确定CRS 3的独立预测因素。基于多变量回归模型建立列线图。所有患者均接受三个周期的NACT,24例(22.6%)患者观察到CRS 3。与CRS 1-2组患者相比,CRS 3组患者的PFS显著改善(对数秩检验<0.0001)。多变量回归分析确定NACT后CA125、CA125下降百分比、NACT后人附睾蛋白4(HE4)和NACT后血红蛋白水平为CRS 3的独立预测因素。Hosmer-Lemeshow检验显示该回归模型拟合良好(=0.272)。包含这些因素的列线图具有良好的区分度(曲线下面积=0.82)、良好的校准度(平均绝对误差=0.039),并且在CRS 3>5%的阈值概率范围内有净效益。我们验证了CRS系统的预后作用,并开发了一个列线图来预测NACT后CRS 3的可能性。该列线图有助于识别从NACT中获益最大的患者。需要更多研究来验证该模型。