Altered intestinal microbiota associated with colorectal cancer

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Reviewed Marked as Reviewed by Atrayees on 2023-7-19
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Zhang H, Chang Y, Zheng Q, Zhang R, Hu C, Jia W
Journal
Frontiers of medicine
Year
2019
Keywords:
Devosia, Eubacterium, colorectal cancer (CRC), gut microbiota, intestinal
The gut microbiota plays an important role in the development and progression of colorectal cancer (CRC). To learn more about the dysbiosis of carcinogenesis, we assessed alterations in gut microbiota in patients with CRC. A total of 23 subjects were enrolled in this study: 9 had CRC (CRC group) and 14 had normal colons (normal group). The microbiome of the mucosal-luminal interface of each subject was sampled and analyzed using 16S rRNA gene amplicon sequencing. We also used Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) to predict microbial functional profiles. The microbial composition of the mucosal lumen differed between the groups, and the presence of specific bacteria may serve as a potential biomarker for colorectal carcinogenesis. We identified a significant reduction in Eubacterium, which is a butyrate-producing genera of bacteria, and a significant increase in Devosia in the gut microbiota of CRC patients. Different levels of gut microflora in healthy and CRC samples were identified. The observed abundance of bacterial species belonging to Eubacterium and Devosia may serve as a promising biomarker for the early detection of CRC.

Experiment 1


Reviewed Marked as Reviewed by Atrayees on 2023-7-19

Curated date: 2021/01/10

Curator: WikiWorks

Revision editor(s): WikiWorks, Atrayees

Subjects

Location of subjects
China
Host species Species from which microbiome was sampled. Contact us to have more species added.
Homo sapiens
Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
Colorectal cancer cancer of colorectum,cancer of large bowel,cancer of large intestine,cancer of the large bowel,colon cancer,colorectal cancer,colorectum cancer,CRC,large intestine cancer,malignant colorectal neoplasm,malignant colorectal tumor,malignant colorectum neoplasm,malignant large bowel neoplasm,malignant large bowel tumor,malignant large intestine neoplasm,malignant large intestine tumor,malignant neoplasm of colorectum,malignant neoplasm of large bowel,malignant neoplasm of large intestine,malignant neoplasm of the large bowel,malignant neoplasm of the large intestine,malignant tumor of large bowel,malignant tumor of large intestine,malignant tumor of the large bowel,malignant tumor of the large intestine,Colorectal cancer
Group 0 name Corresponds to the control (unexposed) group for case-control studies
healthy controls
Group 1 name Corresponds to the case (exposed) group for case-control studies
colorectal cancer
Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
diagnosed only with colorectal cancer with endoscopy
Group 0 sample size Number of subjects in the control (unexposed) group
14
Group 1 sample size Number of subjects in the case (exposed) group
9
Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
30 days

Lab analysis

Sequencing type
16S
16S variable region One or more hypervariable region(s) of the bacterial 16S gene
V6
Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
Illumina

Statistical Analysis

Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
relative abundances
Statistical test
LEfSe
Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
0.05
MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
No

Alpha Diversity

Shannon Estimator of species richness and species evenness: more weight on species richness
decreased
Chao1 Abundance-based estimator of species richness
unchanged

Signature 1

Reviewed Marked as Reviewed by Atrayees on 2023-7-19

Curated date: 2021/01/10

Curator: Fatima Zohra

Revision editor(s): WikiWorks

Source: Figure 3, Supplementary table 2, table 2

Description: Altered intestinal microbiota associated with colorectal cancer

Abundance in Group 1: increased abundance in colorectal cancer

NCBI Quality ControlLinks
Hyphomicrobiaceae
Devosia
Hyphomicrobiales
Alphaproteobacteria
Paenibacillus
Paenibacillaceae
Chryseobacterium

Revision editor(s): WikiWorks

Signature 2

Reviewed Marked as Reviewed by Atrayees on 2023-7-19

Curated date: 2021/01/10

Curator: Fatima Zohra

Revision editor(s): WikiWorks

Source: Figure 3, Supplementary table 2, table 2

Description: Altered intestinal microbiota associated with colorectal cancer

Abundance in Group 1: decreased abundance in colorectal cancer

NCBI Quality ControlLinks
Prevotellaceae
Prevotella
Clostridiaceae
Deltaproteobacteria
Desulfovibrionales
Eubacterium
Klebsiella
Leptotrichia
Phascolarctobacterium
Mogibacterium
Serratia

Revision editor(s): WikiWorks