Role of Microbiota in Aetiopathogenesis of Colorectal Cancer

Suri, Arpita; Bansal, Sanjiv Kumar; Ammalli, Prajwal; Karunanand, Busi

doi:10.7860/jcdr/2019/42445.13169

Cited by 2 publications

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“…thetaiotaomicron is a member of the normal intestinal microbiota. In various pathological conditions, the gene count may rise. , Species such as Faecalibacterium prausnitzii, also known as butyrate producers that are rarely found in inflammation, are linked to high gene count (HGC), while the proinflammatory species ( Bacteroides and Ruminococcus gnavus) are frequent in low gene count (LGC). , As it can be seen, such a division is closely related to the presence/absence of inflammatory bowel disease in LGC and HGC individuals. The results show that the gene count in a genome can eventually become a diagnostic tool for detecting intestinal inflammation and metabolic syndrome.…”

Section: Introductionmentioning

confidence: 99%

Quorum Sensing System in Bacteroides thetaiotaomicron Strain Identified by Genome Sequence Analysis

Feng

et al. 2020

ACS Omega

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This study is a bioinformatics assay on the microbial genome of Bacteroides thetaiotaomicron . The study focuses on the problem of quorum sensing as a result of adverse factors such as chemotherapy and antibiotic therapy. In patients with severe intestinal diseases, two strains of microorganisms were identified that were distinguished as new. Strains were investigated by conducting genome sequencing. The current concepts concerned with the quorum sensing system regulation by stationary-phase sigma factor and their coregulation of target genes in B. thetaiotaomicron were considered. The study suggested using bioinformatics data for the diagnosis of gastrointestinal disorders. In the course of the study, 402 genes having a greater than twofold change were identified with the 95% confidence level. The shortest and longest coding genes were predicted; the noncoding genes were detected. Biological pathways (KEGG pathways) were classified into the following categories: cellular processes, environmental information processing, genetic information processing, human disease, metabolism, and organismic systems. Among notable changes in the biofilm population observed in parallel to the planktonic B. thetaiotaomicron was the expression of genes in the polysaccharide utilization loci that were involved in the synthesis of O-glycans.

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Section: Introductionmentioning

confidence: 99%

Quorum Sensing System in Bacteroides thetaiotaomicron Strain Identified by Genome Sequence Analysis

Feng

et al. 2020

ACS Omega

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“…Thermodesulfovibrio has been recently discussed to play a role in the modulation of FOXP3 and IL-17 involved in immune tolerance in colon cancer (Bergsten et al, 2020 ). Sulfate reducing bacteria, also including Desulphurella are known to be associated with the pathogenesis of colorectal cancer (Kováč et al, 2017 ; Suri et al, 2019 ). Nitriliruptor has been reported to be involved colorectal cancer (Marzban et al, 2020 ), its dysbiosis has been mentioned also in connection to renal carcinomas (Wang et al, 2020 ) and severe cases of irritable bowel syndrome (Zhuang et al, 2018 ).…”

Section: Discussionmentioning

confidence: 99%

Gene-Microbiome Co-expression Networks in Colon Cancer

2021

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It is known that cancer onset and development arise from complex, multi-factorial phenomena spanning from the molecular, functional, micro-environmental, and cellular up to the tissular and organismal levels. Important advances have been made in the systematic analysis of the molecular (mostly genomic and transcriptomic) within large studies of high throughput data such as The Cancer Genome Atlas collaboration. However, the role of the microbiome in the induction of biological changes needed to reach these pathological states remains to be explored, largely because of scarce experimental data. In recent work a non-standard bioinformatics strategy was used to indirectly quantify microbial abundance from TCGA RNA-seq data, allowing the evaluation of the microbiome in well-characterized cancer patients, thus opening the way to studies incorporating the molecular and microbiome dimensions altogether. In this work, we used such recently described approaches for the quantification of microbial species alongside with gene expression. With this, we will reconstruct bipartite networks linking microbial abundance and gene expression in the context of colon cancer, by resorting to network reconstruction based on measures from information theory. The rationale is that microbial communities may induce biological changes important for the cancerous state. We analyzed changes in microbiome-gene interactions in the context of early (stages I and II) and late (stages III and IV) colon cancer, studied changes in network descriptors, and identify key discriminating features for early and late stage colon cancer. We found that early stage bipartite network is associated with the establishment of structural features in the tumor cells, whereas late stage is related to more advance signaling and metabolic features. This functional divergence thus arise as a consequence of changes in the organization of the corresponding gene-microorganism co-expression networks.

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Role of Microbiota in Aetiopathogenesis of Colorectal Cancer

Cited by 2 publications

References 0 publications

Quorum Sensing System in Bacteroides thetaiotaomicron Strain Identified by Genome Sequence Analysis

Quorum Sensing System in Bacteroides thetaiotaomicron Strain Identified by Genome Sequence Analysis

Gene-Microbiome Co-expression Networks in Colon Cancer

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