Evidence map›Paper›PMID 41930781›Full record

ReviewFuture oncology (London, England)2026

GLP-1 receptor agonists and immune checkpoint inhibitor therapy: a narrative review on mechanistic and clinical evidence.

Connor Frey

Abstract readReview
In one paragraph

Review in Future oncology (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

1 author.

Connor FreyDepartment of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity paradoxically increases sensitivity to immune checkpoint inhibitors (ICIs) despite elevating cancer risk, creating a clinical opportunity where metabolic dysfunction may generate a target-rich immune microenvironment. However, immunosuppressive mechanisms, including regulatory T-cells, myeloid-derived suppressor cells, and pro-inflammatory macrophages, can limit durable anti-tumor responses. Glucagon-like peptide-1 receptor agonists (GLP-1RAs) extend beyond metabolic comorbidity management, functioning as metabolic-immunologic adjuvants capable of reprogramming the tumor microenvironment in obese patients receiving ICIs. A literature search was conducted in PubMed/MEDLINE through December 2025 using MeSH headings related to glucagon-like peptide-1 receptor agonists and immune checkpoint inhibitors. Mechanistically, GLP-1R signaling activates cAMP-PKA-AMPK pathways that suppress NF-κB-driven inflammation and promote macrophage repolarization, improving CD8 T-cell metabolic fitness, enhancing central memory formation, and reducing lipid-induced T-cell exhaustion. Real-world observational data across renal cell carcinoma, non-small cell lung cancer, colorectal cancer, and neuroendocrine neoplasms suggest improved overall survival, fewer immune-related adverse events, and lower cardiometabolic complications with concurrent GLP-1RA and ICI therapy. Pharmacovigilance concerns regarding pancreatitis, ICI-induced diabetes, and immune-related toxicities remain incompletely characterized. This review critically appraises mechanistic insights, real-world evidence, and safety considerations, proposing a translational-clinical research agenda to prospectively validate GLP-1RAs as rational adjuncts to checkpoint blockade.

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsImmune Checkpoint InhibitorsNeoplasmsObesityAnimalsGlucagon-Like Peptide-1 ReceptorHumansTumor MicroenvironmentGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsImmune Checkpoint InhibitorsGLP-1Glucagon-like peptide-1 receptor agonistsimmune checkpoint inhibitorsobesity paradoxtumor microenvironment

Identifiers

PMID41930781
PMCPMC13089914

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.