Evidence map›Paper›PMID 42201625›Full record

ReviewFolia microbiologica2026

Gut microbiota and cancer immunotherapy: from dysbiosis to personalized immune checkpoint blockade optimization.

Fatima Akram, Salika Zainab, Ifrah Shabbir, Ikram Ul Haq

Abstract readReview
PubMed Publisher
In one paragraph

Review in Folia microbiologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Fatima AkramInstitute of Industrial Biotechnology, Government College University, Lahore, Pakistan. fatimaakram@gcu.edu.pk.ORCID http://orcid.org/0000-0001-8438-706X
Salika ZainabInstitute of Industrial Biotechnology, Government College University, Lahore, Pakistan.
Ifrah ShabbirInstitute of Industrial Biotechnology, Government College University, Lahore, Pakistan.
Ikram Ul HaqInstitute of Industrial Biotechnology, Government College University, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer has become one of the most prominent causes of death worldwide due to its increasing mortality rate. Immune checkpoint blockade therapy is an effective regimen for tumor control. Still, it faces challenges, including primary resistance and interindividual variations, thereby directing the field towards a new era of immunotherapy adjuncts. Recent studies have shown that the microbiota of cancer patients influences the outcomes of ICB (immune checkpoint blockade) therapy through microbiome-immune system crosstalk. Homeostatic commensal microbial consortia aid in combating tumors by enhancing immunity, whereas dysbiotic microbes facilitate cancer development by mediating immunosuppression. Microbiota modulation via microbiome-targeted interventions, including fecal microbiota transplantation or washed microbiota transplantation from responders, biotic supplements, and dietary modifications, can convert primary resistance to durable responses and thus augment immunotherapy responsiveness in cancer treatment. This review discusses the dual nature of microbiota in mediating the development and treatment of cancer, its crucial role in shaping ICB therapy responsiveness, and the identification of microbial biomarkers into a refined Discovery-Validation-Clinical (DVC) pipeline linked to multi-omics profiling and personalized microbiome-modulation interventions for ICB therapy optimization. In addition, it presents the translational clinical decision framework that highlights patient stratification, intervention timing, and implementation barriers to support clinical translation. Ultimately, the gut microbiome emerges as a "force multiplier" of cancer ICB therapy, thereby enabling microbiome-guided precision oncology and strengthening a roadmap toward personalized cancer care.

Indexed as

CancerImmunometabolismImmunotherapyMicrobiotaModulationPersonalization

Identifiers

What OpenQuestion 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 OpenQuestion graph.