ReviewCancer reports (Hoboken, N.J.)2026
Advancing Cancer Cachexia Drug Development: Leveraging Biomarkers and Functional Endpoints to Optimize Trial Design.
Review in Cancer reports (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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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.
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4 authors.
Funding
Abstract
backgroundCancer-associated cachexia is a complex, multistage metabolic disorder that markedly contributes to morbidity and mortality in patients with advanced cancer, yet effective pharmacological interventions are lacking. Cachexia drug development has expanded significantly in recent years, with multiple repurposed agents and novel therapies targeting specific pathways entering clinical trials. However, clinical benefit has been limited not only by a lack of promising agents but also, to a large extent, by suboptimal trial design. RECENT
findingsThis article reviews the current evidence to highlight the core principles required to modernize cachexia clinical trials. We emphasize that both repurposed drugs and novel agents have a role, but multimodal approaches integrating pharmacologic intervention with nutritional support and exercise are essential for therapeutic success. Early intervention, guided by predictive biomarkers such as C-reactive protein and Interleukin-6, and relatively short study durations focused on rapid clinical benefit are critical considerations.
conclusionWe demonstrate the importance of moving beyond weight-based endpoints alone toward functional primary endpoints. Selection of appropriate control arms is crucial and should include multimodal interventions, while trial designs must account for patient heterogeneity and concurrent anticancer therapies.
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