Liu Ke, Jiao Ye-Lin, Shen Liu-Qing, Chen Pan, Zhao Ying, Li Meng-Xiang, Gu Bian-Li, Lan Zi-Jun, Ruan Hao-Jie, Liu Qi-Wei, Xu Feng-Bo, Yuan Xiang, Qi Yi-Jun, Gao She-Gan
School of Information Engineering, Henan University of Science and Technology, Luoyang, China.
Henan Key Laboratory of Microbiome and Esophageal Cancer Prevention and Treatment, Henan Key Laboratory of Cancer Epigenetics, Cancer Hospital, The First Affiliated Hospital (College of Clinical Medicine) of Henan University of Science and Technology, Luoyang, China.
Front Bioeng Biotechnol. 2022 Mar 1;10:823619. doi: 10.3389/fbioe.2022.823619. eCollection 2022.
The aim of this study was to identify prognostic markers for esophageal squamous cell carcinoma (ESCC) and build an effective prognostic nomogram for ESCC. A total of 365 patients with ESCC from three medical centers were divided into four cohorts. In the discovery phase of the study, we analyzed transcriptional data from 179 cancer tissue samples and identified nine marker genes using edgeR and rbsurv packages. In the training phase, penalized Cox regression was used to select the best marker genes and clinical characteristics in the 179 samples. In the verification phase, these marker genes and clinical characteristics were verified by internal validation cohort (n = 58) and two external cohorts ( = 81, = 105). We constructed and verified a nomogram model based on multiple clinicopathologic characteristics and gene expression of a patient cohort undergoing esophagectomy and adjuvant radiochemotherapy. The predictive accuracy for 4-year overall survival (OS) indicated by the C-index was 0.75 (95% CI, 0.72-0.78), which was statistically significantly higher than that of the American Joint Committee on Cancer (AJCC) seventh edition (0.65). Furthermore, we found two marker genes (TM9SF1, PDZK1IP) directly related to the OS of esophageal cancer. The nomogram presented in this study can accurately and impersonally predict the prognosis of ESCC patients after partial resection of the esophagus. More research is required to determine whether it can be applied to other patient populations. Moreover, we found two marker genes directly related to the prognosis of ESCC, which will provide a basis for future research.
本研究的目的是识别食管鳞状细胞癌（ESCC）的预后标志物，并构建一个有效的ESCC预后列线图。来自三个医疗中心的365例ESCC患者被分为四个队列。在研究的发现阶段，我们分析了179个癌组织样本的转录数据，并使用edgeR和rbsurv软件包识别出9个标志物基因。在训练阶段，采用惩罚Cox回归在179个样本中选择最佳的标志物基因和临床特征。在验证阶段，通过内部验证队列（n = 58）和两个外部队列（n = 81，n = 105）对这些标志物基因和临床特征进行验证。我们基于接受食管切除术和辅助放化疗的患者队列的多个临床病理特征和基因表达构建并验证了一个列线图模型。C指数显示的4年总生存（OS）预测准确性为0.75（95%CI，0.72 - 0.78），在统计学上显著高于美国癌症联合委员会（AJCC）第七版（0.65）。此外，我们发现两个与食管癌OS直接相关的标志物基因（TM9SF1、PDZK1IP）。本研究中呈现的列线图可以准确、客观地预测食管部分切除术后ESCC患者的预后。是否能应用于其他患者群体还需要更多研究。此外，我们发现了两个与ESCC预后直接相关的标志物基因，这将为未来的研究提供依据。
