Identification of an EMT-related Gene Signature Predicting Recurrence in Stage II/III Colorectal Cancer A Retrospective Study in 1780 Patients

被引:8
|
作者
Ren, Haoyu [1 ]
Boesch, Florian [1 ,2 ]
Pretzsch, Elise [1 ]
Jacob, Sven [2 ]
Westphalen, C. Benedikt [3 ,4 ]
Holch, Julian Walter [3 ,4 ,5 ,6 ]
Werner, Jens [1 ]
Angele, Martin K. [1 ]
机构
[1] Ludwig Maximilians Univ Munchen, Dept Gen Visceral & Transplant Surg, Munich, Germany
[2] Univ Med Ctr Goettingen, Dept Gen Visceral & Pediat Surg, Gottingen, Germany
[3] Ludwig Maximilians Univ Munchen, Univ Hosp, Dept Med 3, Munich, Germany
[4] Ludwig Maximilians Univ Munchen, Univ Hosp, Comprehens Canc Ctr, Munich, Germany
[5] German Canc Consortium DKTK, Partner Site Munich, Heidelberg, Germany
[6] German Canc Res Ctr, Heidelberg, Germany
关键词
colorectal cancer; EMT; gene signature; microarray analysis; prognosis; MESSENGER-RNA EXPRESSION; COLON-CANCER; SURVIVAL PARADOX; DISEASE-FREE; IIIA T1-2N1; IIB/C T4N0; GROWTH; KLK6;
D O I
10.1097/SLA.0000000000005644
中图分类号
R61 [外科手术学];
学科分类号
摘要
Objective: To identify a prognostic significant gene signature for predicting colorectal cancer (CRC) recurrence. Background: 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. Materials and Methods: 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. Results: 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. Conclusions: 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.
引用
收藏
页码:897 / 904
页数:8
相关论文
共 50 条
  • [1] An Individualized EMT-Related Gene Signature to Predict Recurrence-Free Survival in Stage II/III Colorectal Cancer Patients
    Zhang, Wei
    Zhang, Xiaoyu
    Zhao, Di
    Hu, Mengwen
    Ge, Xiaoqin
    Xia, Li
    [J]. DIGESTIVE DISEASES AND SCIENCES, 2022, 67 (11) : 5116 - 5126
  • [2] An Individualized EMT-Related Gene Signature to Predict Recurrence-Free Survival in Stage II/III Colorectal Cancer Patients
    Wei Zhang
    Xiaoyu Zhang
    Di Zhao
    Mengwen Hu
    Xiaoqin Ge
    Li Xia
    [J]. Digestive Diseases and Sciences, 2022, 67 : 5116 - 5126
  • [3] Identification of an EMT-Related Gene Signature for Predicting Overall Survival in Gastric Cancer
    Dai, Weiyu
    Xiao, Yizhi
    Tang, Weimei
    Li, Jiaying
    Hong, Linjie
    Zhang, Jieming
    Pei, Miaomiao
    Lin, Jianjiao
    Liu, Side
    Wu, Xiaosheng
    Xiang, Li
    Wang, Jide
    [J]. FRONTIERS IN GENETICS, 2021, 12
  • [4] Identification and Validation of EMT-Related lncRNA Prognostic Signature for Colorectal Cancer
    Li, Danfeng
    Lin, Xiaosheng
    Chen, Binlie
    Ma, Zhiyan
    Zeng, Yongming
    Wang, Huaiming
    [J]. FRONTIERS IN GENETICS, 2021, 12
  • [5] Identification of a ferroptosis-related gene signature predicting recurrence in stage II/III colorectal cancer based on machine learning algorithms
    Wang, Ze
    Ma, Chenghao
    Teng, Qiong
    Man, Jinyu
    Zhang, Xuening
    Liu, Xinjie
    Zhang, Tongchao
    Chong, Wei
    Chen, Hao
    Lu, Ming
    [J]. FRONTIERS IN PHARMACOLOGY, 2023, 14
  • [6] Identification of the EMT-Related Genes Signature for Predicting Occurrence and Progression in Thyroid Cancer
    Li, Qiang
    Jiang, Sheng
    Feng, Tienan
    Zhu, Tengteng
    Qian, Biyun
    [J]. ONCOTARGETS AND THERAPY, 2021, 14 : 3119 - 3131
  • [7] An EMT-related gene signature for the prognosis of human bladder cancer
    Cao, Rui
    Yuan, Lushun
    Ma, Bo
    Wang, Gang
    Qiu, Wei
    Tian, Ye
    [J]. JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2020, 24 (01) : 605 - 617
  • [8] Identification of EMT-related high-risk stage II colorectal cancer and characterisation of metastasis-related genes
    Kai Wang
    Kai Song
    Zhigang Ma
    Yang Yao
    Chao Liu
    Jing Yang
    Huiting Xiao
    Jiashuai Zhang
    Yanqiao Zhang
    Wenyuan Zhao
    [J]. British Journal of Cancer, 2020, 123 : 410 - 417
  • [9] Identification of EMT-related high-risk stage II colorectal cancer and characterisation of metastasis-related genes
    Wang, Kai
    Song, Kai
    Ma, Zhigang
    Yao, Yang
    Liu, Chao
    Yang, Jing
    Xiao, Huiting
    Zhang, Jiashuai
    Zhang, Yanqiao
    Zhao, Wenyuan
    [J]. BRITISH JOURNAL OF CANCER, 2020, 123 (03) : 410 - 417
  • [10] Comprehensive Transcriptomic Analysis Reveals Prognostic Value of an EMT-Related Gene Signature in Colorectal Cancer
    Mo, Shaobo
    Dai, Weixing
    Zhou, Zheng
    Gu, Ruiqi
    Li, Yaqi
    Xiang, Wenqiang
    Han, Lingyu
    Zhang, Long
    Wang, Renjie
    Cai, Guoxiang
    Cai, Sanjun
    Gan, Lu
    Li, Qingguo
    [J]. FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9