| Title | Prognostic model based on six feature genes of intestinal flora subtypes predicts survival in colon cancer |
| Author | |
| Corresponding Author | Tan, Canliang; Chen, Yinggang |
| Publication Years | 2022-12-31
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| DOI | |
| Source Title | |
| ISSN | 2689-5293
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| EISSN | 2689-5307
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| Volume | 15Issue: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
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| WOS Research Area | Science & Technology - Other Topics
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| WOS Subject | Multidisciplinary Sciences
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| WOS Accession No | WOS:000860363700001
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| Publisher | |
| Data Source | Web of Science
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| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/406061 |
| Department | Shenzhen 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 Affilication | Shenzhen 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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