Evidence mapPaperPMID 41511706Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2026

Immune-microbiota crosstalk in colorectal cancer: mechanistic pathways, biomarkers, and translational therapeutics.

Pallavi Shekar, Sushma Pradeep, Chandan Shivamallu, Akila Prashant, Prashant Vishwanath

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
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. 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

5 authors.

Pallavi ShekarDepartment of Biochemistry, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.
Sushma PradeepCenter of Digital Health and AI, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.
Chandan ShivamalluDepartment of Biotechnology & Bioinformatics, JSS School of Life Sciences, JSS Academy of Higher Education and Research, Mysuru, India.
Akila PrashantDepartment of Biochemistry, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India.
Prashant VishwanathDepartment of Biochemistry, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, India. prashantv@jssuni.edu.in.ORCID http://orcid.org/0000-0003-1582-8057

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is caused by a complex interaction between genetic, environmental, and microbial risk factors, and intestinal microbiota has critical roles in inflammation, immunology, and epithelial integrity. Pathobionts from the intestines (Fusobacterium nucleatum, Bacteroides fragilis, and E. coli that produce colibactin) promote DNA damage, immunity protection from cancer therapy, and resistance to chemotherapy treatments. The beneficial commensals and metabolites of intestinal microbes (namely butyrate) increase the mucosal immune response and inhibit tumor-specific signaling mechanisms. Microbe controlled changes of populations of myeloid, lymphoid, and regulatory cells dictate the state of the tumor-immune system and provide actionable checkpoints and biomarkers for cancer therapy. An enormous variety of clinical interventions based on the gut microbiota (probiotics, prebiotics, and fecal microbiota transfer) and diagnostic approaches is currently being developed. Translational issues are difficult due to the interindividual variability and regulatory complexity of tumors. Research needs include standardizing multi-omics data from multidisciplinary teams and mechanistic validation in organoid and gnotobiotic models as well as prediction algorithms to optimize the microbiome-based medicine for individual patients. Targeting the immune-microbiota axis may provide new therapeutic strategies in the diagnosis, prognosis, and therapy of CRC.

Indexed as

Colorectal NeoplasmsGastrointestinal MicrobiomeAnimalsBiomarkers, TumorFecal Microbiota TransplantationHumansProbioticsTranslational Research, BiomedicalBiomarkers, TumorColorectal neoplasmsFecal microbiota transplantationGastrointestinal microbiome/immunologyProbiotics/therapeutic use

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.