Evidence map›Paper›PMID 42310475›Full record

SynthesisMicrobiologyOpen2026

Fecal Microbiome Alterations in Colorectal Cancer: A Systematic Review of Compositional Changes and Microbial Biomarkers.

Parvin Askari, Shirin Dashtbin, Tahereh Navidifar, Leila Dadgar-Zankbar, Arezoo Asadi, Mahsa Ghamari, Parisa Najafi, Shabnam Zeighamy Alamdary, Roghayeh Afifirad, Roya Ghanavati and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis in MicrobiologyOpen, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Parvin AskariInfectious Diseases Research Center, Birjand University of Medical Sciences, Birjand, Iran.ORCID 0000-0001-7699-7765
Shirin DashtbinDepartment of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Tahereh NavidifarDepartment of Basic Sciences, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran.ORCID 0000-0003-4584-2327
Leila Dadgar-ZankbarDepartment of Microbiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Arezoo AsadiEndocrine Research Center, Institute of Endocrinology and Metabolism, Iran University of Medical Sciences, Tehran, Iran.
Mahsa GhamariDepartment of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Parisa NajafiFaculty of Sports and Exercise Science, University Malaya, Kuala Lumpur, Malaysia.
Shabnam Zeighamy AlamdaryDepartment of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-2016-3512
Roghayeh AfifiradDepartment of Microbiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.ORCID 0000-0002-6913-5769
Roya GhanavatiDepartment of Basic Sciences, Behbahan Faculty of Medical Sciences, Behbahan, Iran.ORCID 0000-0002-3851-0001
Atieh DarbandiMolecular Microbiology Research Center, Shahed University, Tehran, Iran.

Funding

Behbahan Faculty of Medical Sciences 401087
6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most common types of cancer worldwide, and the gut microbiome plays a crucial role in its development. In the study, we examine the variation in gut microbial community composition among individuals diagnosed with CRC based on human fecal samples. A systematic search of online databases, including MEDLINE (PubMed), Web of Science, Embase, and Scopus up to March 2026, following the requirements outlined in the PRISMA guideline. The search strategy was based on a combination of keywords, including "colorectal cancer," "gut microbiome", and "feces." The study analyzed 43 research articles on colorectal cancer microbiome. Most investigations utilized culture-independent techniques, revealing variations in microbial profiles between colorectal cancer cases and healthy controls. Fusobacterium and Porphyromonas emerged as potential colorectal cancer biomarkers, while multi-bacteria predictive models showed promise in enhancing colorectal cancer detection sensitivity and specificity. In this review, we will explore how advanced sequencing techniques have the potential to complement current non-invasive methods for early diagnosis and prevention of colorectal cancer. This includes conducting studies with robust statistical power and consistent, replicable methodologies, taking into consideration host factors, and performing external validation of predictive models.

Indexed as

BacteriaBiomarkers, TumorColorectal NeoplasmsFecesGastrointestinal MicrobiomeHumansBiomarkers, Tumorbacteriabiomarkercolorectal cancerfecesgutmicrobiome

Identifiers

PMID42310475
PMCPMC13275328

What OpenQuestion holds

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Registered trials

None linked

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.