Department of Pancreatic Surgery, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Department of Surgery, Zhongshan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Ann Surg Oncol. 2021 Jan;28(1):550-559. doi: 10.1245/s10434-020-08626-z. Epub 2020 May 18.
Ki-67 has been shown to predict outcome of patients with solid pseudopapillary tumor of the pancreas (SPTP) but has not been incorporated into a formal classification system to predict recurrence-free survival (RFS).
This is a retrospective cohort study of patients with histologically confirmed diagnosis of SPTP who had at least 1 year of follow-up at two tertiary academic centers. Survival data were assessed by Kaplan-Meier method and multivariable Cox regression model. Prognostic performance was compared among various systems.
A total of 193 consecutive patients were included, ranging in age from 12 to 70 years (median 33 years). Seven patients (3.6%) developed tumor recurrence. The 3-, 5-, and 10-year RFS rates were estimated at 96.9%, 96.1%, and 94.8%, respectively. For the AJCC staging system, patients with stage I had similar prognosis to those with stage II. For the ENETS staging system, patients with stage I to III had similar prognosis. Grade based on Ki-67 was superior to both the AJCC and ENETS systems for predicting survival. Multivariate analysis revealed that large tumor size [> 10 cm; hazard ratio (HR), 6.177 95% confidence interval (CI), 1.289-29.603; P = 0.023] and Ki-67 (HR, 17.199 95% CI, 4.001-73.930; P < 0.001) were independent predictors for RFS. The Fudan Prognostic Index based on the combination of Ki-67 and tumor size showed excellent discrimination for RFS and was more accurate and informative than other grading/staging systems.
The Fudan Prognostic Index better predicts RFS compared with either Ki-67 alone or the current AJCC and ENETS TNM-based staging systems.
Ki-67 已被证明可预测胰腺实性假乳头状瘤 (SPTP) 患者的预后,但尚未纳入正式的分类系统来预测无复发生存率 (RFS)。
这是一项回顾性队列研究,纳入了在两家三级学术中心接受至少 1 年随访且组织学确诊为 SPTP 的患者。采用 Kaplan-Meier 法和多变量 Cox 回归模型评估生存数据。比较了各种系统的预后性能。
共纳入 193 例连续患者,年龄 12 至 70 岁(中位年龄 33 岁)。7 例(3.6%)患者发生肿瘤复发。3 年、5 年和 10 年 RFS 率估计分别为 96.9%、96.1%和 94.8%。对于 AJCC 分期系统,I 期和 II 期患者的预后相似。对于 ENETS 分期系统,I 期至 III 期患者的预后相似。基于 Ki-67 的分级优于 AJCC 和 ENETS 系统,均能更好地预测生存。多变量分析显示,肿瘤较大[>10cm;危险比 (HR),6.177;95%置信区间 (CI),1.289-29.603;P=0.023]和 Ki-67(HR,17.199;95%CI,4.001-73.930;P<0.001)是 RFS 的独立预测因子。基于 Ki-67 和肿瘤大小组合的复旦预后指数对 RFS 具有良好的预测能力,且比其他分级/分期系统更准确和信息量更大。
与单独使用 Ki-67 或现行的 AJCC 和 ENETS TNM 分期系统相比,复旦预后指数能更好地预测 RFS。