Therapeutic Potential of Melatonin in Gastrointestinal Cancers: Molecular Mechanisms, Preclinical Evidence and Clinical Implications.
Maciej Gonciarz, Benita Wiatrak, Iga Lombard, Łukasz Konecki, Joanna Sarbinowska
Abstract
Open AccessGastrointestinal (GI) cancers remain a leading cause of global morbidity and mortality, necessitating novel therapeutic strategies. Melatonin (MEL), an indoleamine with pleiotropic biological activities, has emerged as a promising adjuvant in oncology due to its antiproliferative, proapoptotic, and antioxidant properties. This review synthesizes current evidence on MEL's molecular mechanisms in GI carcinogenesis, including modulation of NF-κB, PI3K/AKT, and Wnt/β-catenin pathways, suppression of reactive oxygen species (ROS), and regulation of circadian rhythm-related genes (e.g., CLOCK, BMAL1). Preclinical studies demonstrate that MEL enhances chemoradiotherapy efficacy-reducing tumor volume by 70% in murine colorectal models and decreasing 5-fluorouracil (5-FU) resistance via miR-532-3p/β-catenin axis modulation. Clinical trials report a 23%-41% risk reduction in colorectal cancer among shift workers with MEL supplementation and a 53% decrease in radiotherapy-induced oral mucositis. Despite promising data, limitations persist: fewer than 15% of clinical trials focus on GI cancers, dosing remains unstandardized (10-40 mg/day), and molecular heterogeneity (e.g., KRAS mutations in pancreatic cancer) may limit therapeutic responses. Future research must prioritize phase III trials, chronotherapy optimization, and biomarker-driven approaches, including MT1/MT2 receptor expression and microbiome profiling. Given its low toxicity and putative synergy with immunotherapies, MEL should be regarded as an adjunct under investigation rather than an established option; to date, no GI-specific phase III randomized trials exist, and clinical signals come primarily from small, heterogeneous cohorts. Dosing is unstandardized and limited by low oral bioavailability (first-pass) and possible pharmacogenomic variability.