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Can I read A Prognostic Model for Colon Cancer Patients Based on Eight Signature Autophagy Genes on EtoBox?
A Prognostic Model for Colon Cancer Patients Based on Eight Signature Autophagy Genes by Xu, Jiasheng; Dai, Siqi; Yuan, Ying; Xiao, Qian; Ding, Kefeng is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is A Prognostic Model for Colon Cancer Patients Based on Eight Signature Autophagy Genes about?
## Objective To screen key autophagy genes in colon cancer and construct an autophagy gene model to predict the prognosis of patients with colon cancer. ## Methods The colon cancer data from the TCGA were downloaded as the training set, data chip of GSE17536 as the validation set. The differential genes of the training set were obtained and were analyzed for enrichment and protein network. Acquire autophagy genes from Human Autophagy Database www.autophagy.lu/project.html. Autophagy genes in differentially expressed genes were extracted using R-packages limma. Using LASSO/Cox regression analysis combined with clinical information to construct the autophagy gene risk scoring model and divide the samples into high and low risk groups according to the risk value. The Nomogram assessment model was used to predict patient outcomes. CIBERSORT was used to calculate the infiltration of immune cells in the samples and study the relationship between high and low risk groups and immune checkpoints. ## Results Nine hundred seventy-six differentially expressed genes were screened from training set, including five hundred sixty-eight up-regulated genes and four hundred eight down regulated genes
Who reads A Prognostic Model for Colon Cancer Patients Based on Eight Signature Autophagy Genes?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Xu, Jiasheng; Dai, Siqi; Yuan, Ying; Xiao, Qian; Ding, Kefeng
- Publisher
- Frontiers Media SA; Frontiers Media S.A.; Lausanne: Frontiers Media S.A., 2013- (ISSN 2296-634X)
- Published
- 2020
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)
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