Rational Cancer Treatment Combinations: An Urgent Clinical Need
Abstract
We are witnessing several revolutionary technological advances in cancer. These innovations have not only contributed to a growing understanding of the tumor and its microenvironment but also uncovered an increasing array of new therapeutic targets. For most advanced cancers, therapy resistance limits the benefit of single-agent therapies. Therefore, some 5,000 clinical trials are ongoing globally to probe the clinical benefit of new combination treatments. However, the possibilities to combine individual treatments dramatically outnumber the patients available to enroll in clinical trials. This comes at a potential cost of missed opportunities, clinical failure, avoidable toxicity, insufficient patient accrual, and financial loss. A solution may be to design combination therapies more rationally, which are informed by fundamental biological and mechanistic insight. We will discuss some successes and failures of current treatment combinations, as well as interesting emerging preclinical concepts that warrant clinical exploration.
Read the paper
Related studies
- Combining in silico and in vitro approaches to identification of potent inhibitor against phospholipase A2 (PLA2)
- In silico and in vitro studies: investigating the chemical composition, DFT, molecular docking, and dynamic simulation of Satureja candidissima (Munby) Briq essential oil as a potential antibacterial agent
- Quercetin combined with ciprofloxacin and gentamicin inhibits biofilm formation and virulence in Staphylococcus aureus
- In silico study of the mechanism of action, pharmacokinetic and toxicological properties of some N-methylanthranilates and their analogs
- Anticonvulsant Effects of Citronellal, Daidzin, and Phytol, Possibly Through GABAA Receptor and Voltage-Gated Sodium Channel Interaction Pathways: In Vivo and In Silico Studies
- 2-Phenylcyclopropylmethylamine (PCPMA) Derivatives as D3R-Selective Ligands for 3D-QSAR, Docking and Molecular Dynamics Simulation Studies
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.