ReviewAmerican journal of physiology. Cell physiology2025
GLP-1 receptor agonists in the context of cancer: the road ahead.
Review in American journal of physiology. Cell physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07314528 (A Phase II Multi-institutional Randomized Trial Evaluating the Impact of GLP-1 Receptor Agonists in Combination With Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer), which is not on this map. Cited by 6 papers, 1 of them a synthesis that pooled 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.
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.
A Phase II Multi-institutional Randomized Trial Evaluating the Impact of GLP-1 Receptor Agonists in Combination With Total Neoadjuvant Therapy for Locally Advanced Rectal Cancer
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Type 2 diabetes mellitus and cancer: A systematic review and meta-analysis of Mendelian randomization studies.Frontiers in endocrinology · 2026Pooled it
- Metabolic Modulation in Cancer Care: The Potential Role of Glucagon-Like Peptide-1 Receptor Agonists.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026Review
- Modulation of the tumor microenvironment by incretins and glucagon: Metabolic and immune mechanisms (Review).Experimental and therapeutic medicine · 2026Review
- Evaluating the impact of GLP-1 receptor agonists in combination with total neoadjuvant therapy for locally advanced rectal cancer.The British journal of surgery · 2026Review
- Obesity and Cancer: From Systemic Metabolic Reprogramming to Immunotherapy Paradox.Metabolites · 2026Review
- Weight loss interventions and obesity-associated cancers in people with type 2 diabetes and overweight/obesity: A real-world observational study.Diabetes, obesity & metabolism · 2025 · on this mapObservational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
A rapidly increasing proportion of the population in the United States is taking glucagon-like peptide-1 receptor agonists (GLP-1RAs) for type 2 diabetes or weight loss. Consequently, an increasing number of patients presenting with new cases of cancer also have a current prescription for GLP-1RAs. The impact of GLP-1RAs on metabolism is quite profound, and it is entirely reasonable to assume these agents are also very impactful on the metabolism of cancer cells, in addition to the general metabolism of the patient. Although these drugs are relatively recent on the market, the study of metabolism in cancer is a well-established field and we can make predictions about how GLP-1RAs will interface with cancer treatments. In fact, some evidence points to a possible neoadjuvant effect of these drugs for patients with cancer that would justify the initiation of GLP-1RAs to support therapy in a subset of patients. At the same time, there is a very present concern that drugs that induce weight loss may also precipitate the loss of muscle mass, cachexia, in patients. Here, we will provide an overview of the existing literature around diabetes and metabolism in the context of cancer and cachexia.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.