兰州大学机构库
Development and validation of prognostic model based on the analysis of autophagy-related genes in colon cancer
Wang, Yongfeng1,2,5; Lin, Kaili4; Xu, Tianchun6; Wang, Liuli2,3; Fu, Liangyin1; Zhang, Guangming1; Ai, Jing1; Jiao, Yajun4; Zhu, Rongrong1; Han, Xiaoyong4; Cai, Hui1,2,5
2021-07-31
Source PublicationAGING-US
ISSN1945-4589
Volume13Issue:14Pages:19028-19047
AbstractBackground: Autophagy, a process of self-digestion, is closely related to multiple biological processes of colon cancer. This study aimed to construct and evaluate prognostic signature of autophagy-related genes (ARGs) to predict overall survival (OS) in colon cancer patients. Materials and Methods: First, a total of 234 ARGs were downloaded via The Cancer Genome Atlas (TCGA) database. Based on the TCGA dataset, differentially expressed ARGs were identified in colon cancer. The univariate and multivariate Cox regression analysis was performed to screen prognostic ARGs to construct the prognostic model. The feasibility of the prognostic model was evaluated using receiver operating characteristic curves and Kaplan-Meier curves. A prognostic model integrating the gene signature with clinical parameters was established with a nomogram. Results: We developed an autophagy risk signature based on the 6 ARGs (ULK3, ATG101, MAP1LC3C, TSC1, DAPK1, and SERPINA1). The risk score was positively correlated with poor outcome and could independently predict prognosis. Furthermore, the autophagy-related signature could effectively reflect the levels of immune cell type fractions and indicate an immunosuppressive microenvironment. Conclusion: We innovatively identified and validated 6 autophagy-related gene signature that can independently predict prognosis and reflect overall immune response intensity in the colon cancer microenvironment.
Keywordcolon cancer autophagy gene signature prognosis model immune microenvironment
PublisherIMPACT JOURNALS LLC
Indexed BySCIE
Language英语
WOS Research AreaCell Biology ; Geriatrics & Gerontology
WOS SubjectCell Biology ; Geriatrics & Gerontology
WOS IDWOS:000680319300005
Original Document TypeArticle
Citation statistics
Document Type期刊论文
Identifierhttp://ir.lzu.edu.cn/handle/262010/452042
Collection兰州大学
Affiliation1.Univ Chinese Med, Clin Med Coll Gansu 1, Lanzhou 730000, Gansu, Peoples R China;
2.Gansu Prov Hosp, Gen Surg Clin Med Ctr, Lanzhou 730000, Gansu, Peoples R China;
3.Lanzhou Univ, Clin Med Coll 1, Lanzhou 730000, Gansu, Peoples R China;
4.Ning Xia Med Univ, Grad Sch, Yinchuan 750004, Ning Xia, Peoples R China;
5.Gansu Prov Hosp, Key Lab Mol Diagnost & Precis Med Surg Oncol Gans, Lanzhou 730000, Gansu, Peoples R China;
6.Gansu Prov Hosp, Intelligent Med Lab, Lanzhou 730000, Gansu, Peoples R China
Recommended Citation
GB/T 7714
Wang, Yongfeng,Lin, Kaili,Xu, Tianchun,et al. Development and validation of prognostic model based on the analysis of autophagy-related genes in colon cancer[J]. AGING-US,2021,13(14):19028-19047.
APA Wang, Yongfeng.,Lin, Kaili.,Xu, Tianchun.,Wang, Liuli.,Fu, Liangyin.,...&Cai, Hui.(2021).Development and validation of prognostic model based on the analysis of autophagy-related genes in colon cancer.AGING-US,13(14),19028-19047.
MLA Wang, Yongfeng,et al."Development and validation of prognostic model based on the analysis of autophagy-related genes in colon cancer".AGING-US 13.14(2021):19028-19047.
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