dc.creator | Yu L., Zhao G., Wang L., Zhou X., Sun J., Li X., Zhu Y., He Y., Kofonikolas K., Bogaert D., Dunlop M., Zhu Y., Theodoratou E., Li X. | en |
dc.date.accessioned | 2023-01-31T11:37:58Z | |
dc.date.available | 2023-01-31T11:37:58Z | |
dc.date.issued | 2022 | |
dc.identifier | 10.1038/s41416-022-01740-7 | |
dc.identifier.issn | 00070920 | |
dc.identifier.uri | http://hdl.handle.net/11615/80902 | |
dc.description.abstract | Background: Substantial evidence indicates that dysbiosis of the gut microbial community is associated with colorectal neoplasia. This review aims to systematically summarise the microbial markers associated with colorectal neoplasia and to assess their predictive performance. Methods: A comprehensive literature search of MEDLINE and EMBASE databases was performed to identify eligible studies. Observational studies exploring the associations between microbial biomarkers and colorectal neoplasia were included. We also included prediction studies that constructed models using microbial markers to predict CRC and adenomas. Risk of bias for included observational and prediction studies was assessed. Results: Forty-five studies were included to assess the associations between microbial markers and colorectal neoplasia. Nine faecal microbiotas (i.e., Fusobacterium, Enterococcus, Porphyromonas, Salmonella, Pseudomonas, Peptostreptococcus, Actinomyces, Bifidobacterium and Roseburia), two oral pathogens (i.e., Treponema denticola and Prevotella intermedia) and serum antibody levels response to Streptococcus gallolyticus subspecies gallolyticus were found to be consistently associated with colorectal neoplasia. Thirty studies reported prediction models using microbial markers, and 83.3% of these models had acceptable-to-good discrimination (AUROC > 0.75). The results of predictive performance were promising, but most of the studies were limited to small number of cases (range: 9–485 cases) and lack of independent external validation (76.7%). Conclusions: This review provides insight into the evidence supporting the association between different types of microbial species and their predictive value for colorectal neoplasia. Prediction models developed from case-control studies require further external validation in high-quality prospective studies. Further studies should assess the feasibility and impact of incorporating microbial biomarkers in CRC screening programme. © 2022, The Author(s). | en |
dc.language.iso | en | en |
dc.source | British Journal of Cancer | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85126283395&doi=10.1038%2fs41416-022-01740-7&partnerID=40&md5=0af07d006267b992f8cb83e9c700156d | |
dc.subject | antibiotic agent | en |
dc.subject | bacterium antibody | en |
dc.subject | tumor marker | en |
dc.subject | biological marker | en |
dc.subject | Actinomyces | en |
dc.subject | antibody blood level | en |
dc.subject | Article | en |
dc.subject | bacterial microbiome | en |
dc.subject | Bifidobacterium | en |
dc.subject | cancer incidence | en |
dc.subject | cancer prognosis | en |
dc.subject | cancer survival | en |
dc.subject | case control study | en |
dc.subject | clinical outcome | en |
dc.subject | cohort analysis | en |
dc.subject | colorectal adenoma | en |
dc.subject | colorectal cancer | en |
dc.subject | colorectal tumor | en |
dc.subject | controlled study | en |
dc.subject | differential diagnosis | en |
dc.subject | Embase | en |
dc.subject | Enterococcus | en |
dc.subject | feces microflora | en |
dc.subject | Fusobacterium | en |
dc.subject | human | en |
dc.subject | Medline | en |
dc.subject | microorganism | en |
dc.subject | nonhuman | en |
dc.subject | observational study | en |
dc.subject | overall survival | en |
dc.subject | Peptostreptococcus | en |
dc.subject | Porphyromonas | en |
dc.subject | prediction | en |
dc.subject | predictive value | en |
dc.subject | Prevotella intermedia | en |
dc.subject | prospective study | en |
dc.subject | Pseudomonas | en |
dc.subject | publication bias | en |
dc.subject | retrospective study | en |
dc.subject | Roseburia | en |
dc.subject | Salmonella | en |
dc.subject | Streptococcus gallolyticus subsp. gallolyticus | en |
dc.subject | systematic review | en |
dc.subject | Treponema denticola | en |
dc.subject | tumor diagnosis | en |
dc.subject | tumor differentiation | en |
dc.subject | validation study | en |
dc.subject | adenoma | en |
dc.subject | dysbiosis | en |
dc.subject | Adenoma | en |
dc.subject | Biomarkers | en |
dc.subject | Colorectal Neoplasms | en |
dc.subject | Dysbiosis | en |
dc.subject | Humans | en |
dc.subject | Prospective Studies | en |
dc.subject | Springer Nature | en |
dc.title | A systematic review of microbial markers for risk prediction of colorectal neoplasia | en |
dc.type | journalArticle | en |