Cancer recurrence remains a major clinical challenge. While obesity and diabetes are implicated in poor cancer prognosis, their impact on cancer recurrence has not been comprehensively investigated. PubMed and the Cochrane Library, supplemented by man...
Cancer recurrence remains a major clinical challenge. While obesity and diabetes are implicated in poor cancer prognosis, their impact on cancer recurrence has not been comprehensively investigated. PubMed and the Cochrane Library, supplemented by manual searches, were systematically searched from inception to March 2025 following PRISMA guidelines. This systematic review and meta-analysis, based on 118 observational studies (63 on obesity and 63 on diabetes) including 339,884 patients across 15 cancer types, evaluated the association of obesity and diabetes with cancer recurrence using random-effects models, dose–response analyses, subgroup analyses, and meta-regression analyses. Both conditions were significantly associated with increased recurrence risk, with diabetes showing a stronger effect (HR 1.39, 95% CI 1.29– 1.50) than obesity (HR 1.29, 95% CI 1.14–1.46). Recurrence risk rose proportionally with metabolic severity, increasing by 9.8% for every 5 kg/m² BMI increment and by 40% for each 1% rise in HbA1c. Risk magnitude varied across malignancies, with the highest estimates observed for ureteral (HR 2.88) and bladder cancers (HR 1.58) in obesity, and for cervical (HR 2.26), lung (HR 2.08), and renal cancers (HR 2.02) in diabetes. Subgroup analyses and meta-regression identified cancer type, follow-up periods (<5 years), disease stage (stage I–II), and geographic region (higher diabetes-associated risk in Asia) as significant modifiers of recurrence risk. While publication bias was detected only for diabetes, overall findings were robust across sensitivity analyses. This study provides the most comprehensive synthesis to date demonstrating that obesity and diabetes are independent, dose-dependent drivers of cancer recurrence and highlights the need to incorporate metabolic risk assessment and targeted management strategies into survivorship care to improve long-term oncologic outcomes.