Ren Haoyu, Bösch Florian, Pretzsch Elise, Jacob Sven, Westphalen C Benedikt, Walter Holch Julian, Werner Jens, Angele Martin K
Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich, Germany.
Department of General, Visceral, and Pediatric Surgery, University Medical Center Goettingen.
Ann Surg. 2022 Nov 1;276(5):897-904. doi: 10.1097/SLA.0000000000005644. Epub 2022 Jul 26.
To identify a prognostic significant gene signature for predicting colorectal cancer (CRC) recurrence.
Traditional prognostic risk assessment in stage II/III CRC patients remains controversial. Epithelial-mesenchymal transition is thought to be closely related to the malignant progression of tumors. Thus, it is promising to establish a prognostic model based on epithelial-mesenchymal transition-related gene (ERG) signature.
We retrospectively analyzed transcriptome profiles and clinical information of 1780 stage II/III CRC patients from 15 public datasets. Coefficient variant analysis was used to select reference genes for normalizing gene expression levels. Univariate, LASSO, and multivariate Cox regression analyses were combined to develop the ERG signature predicting disease-free survival (DFS). The patients were divided into high-risk and low-risk based on the ERG signature recurrence risk score. The survival analysis was performed in different CRC cohorts.
The proposed ERG signature contained 7 cancer-related ERGs and 3 reference genes. The ERG signature recurrence risk score was prognostically relevant in all cohorts ( P <0.05) and proved as an independent prognostic factor in the training cohort. In the pooled cohort, high-risk CRC patients exhibited worse DFS ( P <0.0001) and overall survival ( P =0.0058) than low-risk patients. The predictive performance of the ERG signature was superior to Oncotype DX colon cancer. An integrated decision tree and nomogram were developed to improve prognosis evaluation.
The identified ERG signature is a promising and powerful biomarker predicting recurrence in CRC patients. Moreover, the presented ERG signature might help to stratify patients according to their tumor biology and contribute to personalized treatment.
确定一种用于预测结直肠癌(CRC)复发的具有预后意义的基因特征。
II/III期CRC患者的传统预后风险评估仍存在争议。上皮-间质转化被认为与肿瘤的恶性进展密切相关。因此,基于上皮-间质转化相关基因(ERG)特征建立预后模型具有前景。
我们回顾性分析了来自15个公共数据集的1780例II/III期CRC患者的转录组图谱和临床信息。采用系数变异分析来选择用于标准化基因表达水平的参考基因。联合单变量、LASSO和多变量Cox回归分析来构建预测无病生存期(DFS)的ERG特征。根据ERG特征复发风险评分将患者分为高风险和低风险组。在不同的CRC队列中进行生存分析。
所提出的ERG特征包含7个癌症相关ERG和3个参考基因。ERG特征复发风险评分在所有队列中均具有预后相关性(P<0.05),并在训练队列中被证明是一个独立的预后因素。在汇总队列中,高风险CRC患者的DFS(P<0.0001)和总生存期(P = 0.0058)均低于低风险患者。ERG特征的预测性能优于Oncotype DX结肠癌检测。开发了一个综合决策树和列线图以改善预后评估。
所确定的ERG特征是一种有前景且强大的预测CRC患者复发的生物标志物。此外,所呈现的ERG特征可能有助于根据患者的肿瘤生物学特征进行分层,并有助于个性化治疗。