ReviewWorld journal of gastroenterology2018
Microbial markers in colorectal cancer detection and/or prognosis.
Review in World journal of gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04103567 (Determination of Microbiological Factors Associated With Poor Response to Neoadjuvant Therapy in Rectal Cancers), which is not on this map. Cited by 78 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Determination of Microbiological Factors Associated With Poor Response to Neoadjuvant Therapy in Rectal Cancers: Focus on Cyclomodulin-producing Escherichia Coli
Who cites it
78 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Emerging biomarkers for non-invasive diagnosis and treatment of cancer: a systematic review.Frontiers in oncology · 2024Pooled it
- Pooled it
- Clinical applications of gut microbiome for non-invasive diagnosis of colorectal neoplasia.Journal of gastroenterology · 2026Article
- Instance-based transfer learning enables cross-cohort early detection of colorectal cancer.NPJ biofilms and microbiomes · 2026Article
- Gut Microbiota and Colorectal Cancer: Is Microbial Dysbiosis in Carcinogenesis an Emerging Risk Factor?Cureus · 2026Review
- Stool microbiota variations along the adenoma-colorectal carcinoma sequence - robustness of disease-associated microbial features.Frontiers in microbiology · 2026Article
- Article
- Integration of microbiome and transcriptome information in helping diagnosis of colorectal cancer.Discover oncology · 2025Article
- Could artificial intelligence-powered colonoscopies change the future of colorectal cancer screening?World journal of gastroenterology · 2025Review
- A Review of Susceptibility Factors for Colibactin-Associated Colorectal Cancer in African Populations.Cureus · 2025Review
- Oral Microbiota Taxa and Pri-miRNA Expression in Bipolar Disorder: A Case-Control Study.Biomolecules · 2025Article
- The microbiome-cancer axis as a hidden contributor to early-onset tumorigenesis.Medical oncology (Northwood, London, England) · 2025Review
- Coagulation markers as independent predictors of colorectal cancer aggressiveness.BMC gastroenterology · 2025Article
- Assessing the role of Escherichia coli and Klebsiella pneumoniae in colorectal cancer oncogene expression: insights from microbial colonization phenotypes.Molecular biology reports · 2025Article
- Intratumoral microbial community profiling identifies clinicomolecular and prognostic subtypes of colorectal cancer liver metastasis.NPJ precision oncology · 2025Article
- Association of Intratumoral Microbiota Modulation with Prostate Cancer Progression: A Microbiome Analysis of Prostatic Tissue.Biomedicines · 2025Article
- Deciphering microbial and metabolic influences in gastrointestinal diseases-unveiling their roles in gastric cancer, colorectal cancer, and inflammatory bowel disease.Journal of translational medicine · 2025Article
- Innovative approaches in colorectal cancer screening: advances in detection methods and the role of artificial intelligence.Therapeutic advances in gastroenterology · 2025Review
- Yanggan Yizhong decoction prevents liver metastasis from colorectal cancer by targeting myeloid-derived suppressor cells through the regulation of bile acid metabolism in the gut microbiota.Frontiers in microbiology · 2025Article
- The influence of the microbiome on radiotherapy and DNA damage responses.Frontiers in oncology · 2025Review
18 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Colorectal cancer (CRC) is the second leading cause of cancer worldwide. CRC is still associated with a poor prognosis among patients with advanced disease. On the contrary, due to its slow progression from detectable precancerous lesions, the prognosis for patients with early stages of CRC is encouraging. While most robust methods are invasive and costly, actual patient-friendly screening methods for CRC suffer of lack of sensitivity and specificity. Therefore, the development of sensitive, non-invasive and cost-effective methods for CRC detection and prognosis are necessary for increasing the chances of a cure. Beyond its beneficial functions for the host, increasing evidence suggests that the intestinal microbiota is a key factor associated with carcinogenesis. Many clinical studies have reported a disruption in the gut microbiota balance and an alteration in the faecal metabolome of CRC patients, suggesting the potential use of a microbial-based test as a non-invasive diagnostic and/or prognostic tool for CRC screening. This review aims to discuss the microbial signatures associated with CRC known to date, including dysbiosis and faecal metabolome alterations, and the potential use of microbial variation markers for non-invasive early diagnosis and/or prognostic assessment of CRC and advanced adenomas. We will finally discuss the possible use of these markers as predicators for treatment response and their limitations.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.