Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Mol Oncol. 2018 Feb;12(2):196-207. doi: 10.1002/1878-0261.12158. Epub 2018 Jan 6.
Here, we aimed to identify an immunohistochemical (IHC)-based classifier as a prognostic factor in patients with esophageal squamous cell carcinoma (ESCC). A cohort of 235 patients with ESCC undergoing radical esophagectomy (with complete clinical and pathological information) were enrolled in the study. Using the least absolute shrinkage and selection operator (LASSO) regression model, we extracted six IHC features associated with progression-free survival (PFS) and then built a classifier in the discovery cohort (n = 141). The prognostic value of this classifier was further confirmed in the validation cohort (n = 94). Additionally, we developed a nomogram integrating the IHC-based classifier to predict the PFS. We used the IHC-based classifier to stratify patients into high- and low-risk groups. In the discovery cohort, 5-year PFS was 22.4% (95% CI: 0.14-0.36) for the high-risk group and 43.3% (95% CI: 0.32-0.58) for the low-risk group (P = 0.00064), and in the validation cohort, 5-year PFS was 20.58% (95% CI: 0.12-0.36) for the high-risk group and 36.43% (95% CI: 0.22-0.60) for the low-risk group (P = 0.0082). Multivariable analysis demonstrated that the IHC-based classifier was an independent prognostic factor for predicting PFS of patients with ESCC. We further developed a nomogram integrating the IHC-based classifier and clinicopathological risk factors (gender, American Joint Committee on Cancer staging, and vascular invasion status) to predict the 3- and 5-year PFS. The performance of the nomogram was evaluated and proved to be clinically useful. Our 6-IHC marker-based classifier is a reliable prognostic tool to facilitate the individual management of patients with ESCC after radical esophagectomy.
在这里,我们旨在确定一种免疫组织化学(IHC)分类器作为食管鳞状细胞癌(ESCC)患者的预后因素。我们招募了 235 名接受根治性食管切除术(具有完整的临床和病理信息)的 ESCC 患者参与本研究。我们使用最小绝对收缩和选择算子(LASSO)回归模型,提取了与无进展生存期(PFS)相关的六个 IHC 特征,并在发现队列(n=141)中构建了一个分类器。该分类器的预后价值在验证队列(n=94)中得到了进一步证实。此外,我们还开发了一种整合 IHC 分类器的列线图来预测 PFS。我们使用 IHC 分类器将患者分为高风险和低风险组。在发现队列中,高风险组的 5 年 PFS 为 22.4%(95%CI:0.14-0.36),低风险组为 43.3%(95%CI:0.32-0.58)(P=0.00064),在验证队列中,高风险组的 5 年 PFS 为 20.58%(95%CI:0.12-0.36),低风险组为 36.43%(95%CI:0.22-0.60)(P=0.0082)。多变量分析表明,IHC 分类器是预测 ESCC 患者 PFS 的独立预后因素。我们进一步开发了一种整合 IHC 分类器和临床病理危险因素(性别、美国癌症联合委员会分期和血管侵犯状态)的列线图来预测 3 年和 5 年的 PFS。该列线图的性能得到了评估,并被证明具有临床应用价值。我们的 6- IHC 标志物分类器是一种可靠的预后工具,可用于指导根治性食管切除术后 ESCC 患者的个体化治疗。