Department of Gynecologic Oncology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People's Republic of China.
Cancer Med. 2019 Sep;8(11):5068-5078. doi: 10.1002/cam4.2414. Epub 2019 Jul 16.
To determine the combination of fasting blood glucose (FBG) with squamous cell carcinoma antigen (SCCA) assessments in the prediction of tumor responses to chemotherapy and pretreatment prognostication among patients receiving neoadjuvant chemotherapy (NACT) for locally advanced cervical cancer (LACC).
Data of 347 LACC patients were retrospectively reviewed. Receiver operating characteristic (ROC) curves were constructed, and areas under the curves (AUCs) were compared to evaluate the ability to predict complete response (CR) following NACT. Patients were stratified into groups with low and high levels of SCCA and FBG and combined into low- or high-SCCA and low- or high-FBG groups. Cox regression analysis was performed to identify determinants of recurrence-free survival (RFS) and overall survival (OS).
The AUCs were 0.70, 0.68, and 0.66 for SCCA, FBG, and a combination of SCCA and FBG for predicting CR following NACT, respectively; however, the differences among AUCs were not significant (P = .496). Pretreatment SCCA and FBG levels were identified as independent predictors of RFS and OS. The high-SCCA/high-FBG group showed significantly worse prognosis than the low-SCCA/low-FBG group. After adjusting for other variables, high-SCCA/high-FBG remained independently associated with an increased risk of tumor recurrence and death.
SCCA, FBG, and a combination of SCCA and FBG could acceptably predict CR following NACT. Pretreatment SCCA and FBG levels were independent prognostic factors. The combination of SCCA and FBG levels refined the prognostic stratification of LACC patients, which allowed the group of patients with the highest risk of recurrence and death to be identified.
确定空腹血糖(FBG)与鳞状细胞癌抗原(SCCA)联合评估在预测接受新辅助化疗(NACT)的局部晚期宫颈癌(LACC)患者的肿瘤对化疗的反应和预处理预后中的作用。
回顾性分析了 347 例 LACC 患者的数据。构建了受试者工作特征(ROC)曲线,并比较曲线下面积(AUC)以评估其预测 NACT 后完全缓解(CR)的能力。根据 SCCA 和 FBG 水平将患者分为低水平和高水平组,并将两者结合为低或高 SCCA 和低或高 FBG 组。使用 Cox 回归分析确定无复发生存(RFS)和总生存(OS)的决定因素。
SCCA、FBG 和 SCCA 和 FBG 联合预测 NACT 后 CR 的 AUC 分别为 0.70、0.68 和 0.66,但 AUC 之间的差异无统计学意义(P=0.496)。治疗前 SCCA 和 FBG 水平是 RFS 和 OS 的独立预测因素。高 SCCA/高 FBG 组的预后明显差于低 SCCA/低 FBG 组。在校正其他变量后,高 SCCA/高 FBG 仍然与肿瘤复发和死亡的风险增加独立相关。
SCCA、FBG 和 SCCA 和 FBG 的联合可接受地预测 NACT 后的 CR。治疗前 SCCA 和 FBG 水平是独立的预后因素。SCCA 和 FBG 水平的联合进一步细化了 LACC 患者的预后分层,从而确定了复发和死亡风险最高的患者群体。