Evidence mapPaperPMID 42372204Full record

ReviewJournal of clinical oncology : official journal of the American Society of Clinical Oncology2026

Metabolic Modulation in Cancer Care: The Potential Role of Glucagon-Like Peptide-1 Receptor Agonists.

Hugo C Temperley, Michael E Kelly

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In one paragraph

Review in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 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

2 authors.

Hugo C TemperleyDepartment of Radiology, St James's Hospital, Dublin, Ireland.ORCID 0000-0001-9151-3431
Michael E KellyTrinity St James's Cancer Institute, Dublin, Ireland.ORCID 0000-0002-0757-6411

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have revolutionized the management of type 2 diabetes and obesity by providing sustained improvements in glycemic control, weight loss, and cardiovascular outcomes. These benefits have led to increasing interest in their potential role in cancer treatment. Obesity and metabolic dysfunction are well-known factors that promote the development, progression, and resistance to therapy in various cancers, suggesting that drugs targeting these pathways may have anticancer effects. Emerging epidemiologic and clinical evidence shows that GLP-1RA therapy is linked to a lower risk of several obesity-related cancers, including GI, breast, endometrial, ovarian, prostate, and hematologic malignancies. Mechanistic studies also reveal effects on insulin signaling, long-term inflammation, angiogenesis, and immune system modulation. This comprehensive review integrates current knowledge of GLP-1RAs in cancer care, covering drug action, epidemiology, underlying mechanisms, and clinical application. We evaluate evidence for cancer prevention, their use as complementary treatments, and outcomes in patients with existing cancer. Overall, the evidence suggests that GLP-1RAs could become a novel class of agents linking metabolic health and cancer therapy, with potential applications in neoadjuvant treatment strategies, particularly in settings where prolonged neoadjuvant intervals allow for metabolic optimization before definitive surgical intervention.

Indexed as

Glucagon-Like Peptide-1 Receptor AgonistsNeoplasmsAnimalsDiabetes Mellitus, Type 2Glucagon-Like Peptide-1 ReceptorHumansHypoglycemic AgentsObesityGlucagon-Like Peptide-1 ReceptorGlucagon-Like Peptide-1 Receptor AgonistsHypoglycemic Agents

Identifiers

PMID42372204

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.