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Updated: Aug 28, 2026

Potentiation of Anticancer Antibody Efficacy by Antineoplastic Drugs: Detection of Antibody-drug Synergism Using the Combination Index Equation
Published on: January 19, 2019
Helping Apo2L/TRAIL in the Battle: Synergistic Therapeutic Approaches for Cancer Therapies
Elena Valeria Fuior1, Madalina Dumitrescu1, Marius Gabriel Multescu1
1Institute of Cellular Biology and Pathology "Nicolae Simionescu", Romanian Academy, 050568 Bucharest, Romania.
Abstract:
Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) selectively triggers apoptosis in malignant, infected, or stressed cells while sparing normal tissues, making it an attractive therapeutic candidate. However, many tumors exhibit intrinsic or acquired resistance to TRAIL, driven by reduced DR4/DR5 surface expression, elevated decoy receptor levels, dysregulated DISC assembly, overexpression of c-FLIP and anti-apoptotic Bcl-2 family proteins, or activation of survival pathways such as NF-κB, PI3K/Akt, and MAPK. Moreover, TRAIL receptors can initiate non-canonical signaling pathways that promote migration, invasion, and metastasis in specific oncogenic contexts, thereby further limiting therapeutic efficacy. We aimed to integrate mechanistic insights into TRAIL biology with current therapeutic advances, providing a comprehensive framework for understanding resistance and for designing rational TRAIL-based combination strategies. We summarized the structural and signaling features of TRAIL receptors, outlined the major determinants of TRAIL sensitivity, and evaluated predictive biomarkers that may guide patient selection. In addition, we examined next-generation TRAIL agonists and targeted delivery systems developed to enhance receptor clustering, pharmacokinetics, and tumor specificity. Together, these insights highlight the therapeutic promise of mechanistically informed TRAIL combinations. A deeper understanding of resistance pathways and biomarker-guided stratification will be essential for restoring apoptotic competence and improving clinical outcomes.
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