Evidence map›Paper›PMID 40601369›Full record

ReviewGut microbes2025

State of omics-based microbial diagnostics of CRC.

Jerome Prusa, Mark G Gorelik, Kevin S Blake, Gautam Dantas

Abstract readReview
In one paragraph

Review in Gut microbes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Cancers · 2025
    Review
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

4 authors.

Jerome PrusaDepartment of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-7963-5636
Mark G GorelikDepartment of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-0161-2474
Kevin S BlakeDepartment of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-4247-1209
Gautam DantasDepartment of Pathology and Immunology, Division of Laboratory and Genomic Medicine, Washington University School of Medicine, St. Louis, MO, USA.

Funding

Pediatric Gastroenterology Research Training ProgramT32DK077653 · NIDDK · WASHINGTON UNIVERSITY · PI PHILLIP I TARR · 2007 to 2026
$5.8M
MOLECULAR ONCOLOGY TRAINING GRANTT32CA113275 · NCI · WASHINGTON UNIVERSITY · PI Matthew J Walter · 2006 to 2026
$5.7M
NCI NIH HHS T32 CA113275NIDDK NIH HHS T32 DK077653
6 · The paper itself

Abstract

Colorectal cancer (CRC) remains a major burden of cancer-related morbidity and mortality globally, especially when detected at later stages. Early detection through improved and more accessible diagnostics is critical for reducing the severity of CRC. As our understanding of CRC and the microbial inhabitants of the gastrointestinal tract continues to improve, it has become increasingly recognized that the bacterial component of the gut microbiome may provide diagnostic utility for detecting CRC. This is because CRC is often accompanied by shifts in bacterial taxa, and the metabolites produced or utilized by the CRC-associated gut bacterial community. Advances in sequencing and metabolite profiling technologies paired with our growing understanding of CRC-associated microbial taxa, present an opportunity for new gut microbiome-based diagnostics. In this narrative review, we discuss bacterial taxa and gut metabolites that have been investigated as predictive features for CRC diagnosis. We aim to highlight the tremendous progress that has been made in identifying gut microbiome-based features and why they should be further explored as potential CRC diagnostics. We also identify challenges that future work must address, including the impact of patient lifestyle, variation in methodology, and nonstandard data management practices. Resolving these areas of study design and implementation is key to understanding the complex bacterial communities and their by-products associated with CRC, and the development of microbial diagnostics that can detect them.

Indexed as

BacteriaColorectal NeoplasmsGastrointestinal MicrobiomeEarly Detection of CancerGastrointestinal TractHumansMetabolomicsColorectal cancerdiagnosticsmicrobial metabolitesmicrobiome

Identifiers

PMID40601369
PMCPMC12233711

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.