Meta-analysis of 16S rRNA Microbial Data Identified Distinctive and Predictive Microbiota Dysbiosis in Colorectal Carcinoma Adjacent Tissue
ABSTRACT As research focusing on the colorectal cancer fecal microbiome using shotgun sequencing continues, increasing evidence has supported correlations between colorectal carcinomas (CRCs) and fecal microbiome dysbiosis. However, large-scale on-site and off-site (surrounding adjacent) tissue micr...
Guardado en:
Autores principales: | Zongchao Mo, Peide Huang, Chao Yang, Sihao Xiao, Guojia Zhang, Fei Ling, Lin Li |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
American Society for Microbiology
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/319547ada5104d97b8e7ab82ab8369bb |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Leveraging Existing 16S rRNA Gene Surveys To Identify Reproducible Biomarkers in Individuals with Colorectal Tumors
por: Marc A. Sze, et al.
Publicado: (2018) -
Analysis of changes in microbiome compositions related to the prognosis of colorectal cancer patients based on tissue-derived 16S rRNA sequences
por: Sukjung Choi, et al.
Publicado: (2021) -
Fecal Metabolomic Signatures in Colorectal Adenoma Patients Are Associated with Gut Microbiota and Early Events of Colorectal Cancer Pathogenesis
por: Minsuk Kim, et al.
Publicado: (2020) -
Relationship Between Colorectal Carcinoma and Adenoma Detection Rate by Colonoscopy
por: Fernando Mendoza-Moreno, et al.
Publicado: (2020) -
Systematic Bias Introduced by Genomic DNA Template Dilution in 16S rRNA Gene-Targeted Microbiota Profiling in Human Stool Homogenates
por: Francesco Multinu, et al.
Publicado: (2018)