| 题名 | Prognostic model based on six feature genes of intestinal flora subtypes predicts survival in colon cancer |
| 作者 | |
| 通讯作者 | Tan, Canliang; Chen, Yinggang |
| 发表日期 | 2022-12-31
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| DOI | |
| 发表期刊 | |
| ISSN | 2689-5293
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| EISSN | 2689-5307
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| 卷号 | 15期号:1 |
| 摘要 | 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. |
| 关键词 | |
| 相关链接 | [来源记录] |
| 收录类别 | |
| 语种 | 英语
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| 学校署名 | 其他
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| WOS研究方向 | Science & Technology - Other Topics
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| WOS类目 | Multidisciplinary Sciences
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| WOS记录号 | WOS:000860363700001
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| 出版者 | |
| 来源库 | Web of Science
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| 引用统计 |
被引频次[WOS]：0
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| 成果类型 | 期刊论文 |
| 条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/406061 |
| 专题 | 南方科技大学第一附属医院 |
| 作者单位 | 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 |
| 第一作者单位 | 南方科技大学第一附属医院 |
| 推荐引用方式 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).
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| 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).
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| 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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| 条目包含的文件 | 条目无相关文件。 | |||||
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