中文版 | English
Title

Prognostic model based on six feature genes of intestinal flora subtypes predicts survival in colon cancer

Author
Corresponding AuthorTan, Canliang; Chen, Yinggang
Publication Years
2022-12-31
DOI
Source Title
ISSN
2689-5293
EISSN
2689-5307
Volume15Issue:1
Abstract
We aimed to identify potential molecular biomarkers through integrated analysis of microbiome and transcriptome data in colon cancer. Microbiome, transcriptome, and clinical phenotype data were downloaded from TCMA and TCGA databases. Intestinal flora subtypes were identified, followed by screening feature genes of each subtype. Univariate and LASSO Cox regression analyses were conducted to identify optimal prognostic genes to establish prognostic model. Survival, clinical phenotypes, pathways, and immune infiltration within different risk groups were compared. Three intestinal flora subtypes were identified: Proteobacteria, Fusobacteria, and Bacteroidetes subtypes. Bacteroidetes subtype tended to have worse survival. Feature genes of Bacteroidetes subtype were mainly implicated in immune-related functional terms, whereas those of Fusobacteria and Proteobacteria subtypes were mainly implicated in functions associated with inflammatory response and transcription, respectively. LASSO Cox regression identified 6 optimal prognostic genes: CSF1R, HLA-DOA, NOS3, HOXB4, PLA1A, and RPL3, to establish prognostic risk model. High-risk patients were associated with worse survival and had high proportions of Bacteroidetes subtype and high immune infiltration. Proteobacteria, Fusobacteria, and Bacteroidetes largely dominated the gut microbial flora in colon cancer patients. Prognostic model based on feature genes of intestinal flora subtypes can predict survival in colon cancer.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
Others
WOS Research Area
Science & Technology - Other Topics
WOS Subject
Multidisciplinary Sciences
WOS Accession No
WOS:000860363700001
Publisher
Data Source
Web of Science
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/406061
DepartmentShenzhen People's Hospital
Affiliation
1.Jinan Univ, Clin Med Coll 2, Shenzhen Peoples Hosp, Dept Gastrointestinal Surg, Jinan, Peoples R China
2.Southern Univ Sci & Technol, Affiliated Hosp 1, Shenzhen, Peoples R China
3.Chinese Acad Med Sci & Peking Union Med Coll, Natl Canc Ctr, Dept Gastrointestinal Surg, Natl Clin Res Ctr Canc,Canc Hosp, 113 Baohe Rd, Shenzhen 518116, Guangdong, Peoples R China
4.Chinese Acad Med Sci & Peking Union Med Coll, Shenzhen Hosp, 113 Baohe Rd, Shenzhen 518116, Guangdong, Peoples R China
5.3D Med Inc, Dept IVD Med Mkt, Shanghai, Peoples R China
6.Southern Med Univ, Dept Gen Surg, Affilliated Hosp 3, Guangzhou, Peoples R China
First Author AffilicationShenzhen People's Hospital
Recommended Citation
GB/T 7714
Sun, Xiao,Sun, Peng,Sui, Yi,et al. Prognostic model based on six feature genes of intestinal flora subtypes predicts survival in colon cancer[J]. All Life,2022,15(1).
APA
Sun, Xiao,Sun, Peng,Sui, Yi,Tan, Canliang,&Chen, Yinggang.(2022).Prognostic model based on six feature genes of intestinal flora subtypes predicts survival in colon cancer.All Life,15(1).
MLA
Sun, Xiao,et al."Prognostic model based on six feature genes of intestinal flora subtypes predicts survival in colon cancer".All Life 15.1(2022).
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