Ultra-low-dose same-target combinations control drug resistance across stages
Z.-G. Zhao, Shao-Qing Cai, R. Tan, W. Cai, Q. Zhao, X. Wang, F. Xu
Abstract
The emergence of drug resistance continues to limit the long term effectiveness of cancer therapies [1], as tumour cells adapt to therapeutic selective pressure through diverse genetic and non-genetic routes [2,3]. Despite advances in more potent and next generation inhibitors and mechanism based combination therapies [4,5], durable disease control remains difficult to achieve. Here we tested an alternative strategy: combining multiple inhibitors directed against the same oncogenic driver, each at ultra low doses with minimal individual activity, to delay resistance emergence. In epidermal growth factor receptor (EGFR) driven cancer models, such ultra low dose same target combinations (ULDCs) distributed individually weak perturbations across multiple inhibitors directed against the same target and achieved substantial growth inhibition in vitro and antitumour activity in vivo despite weak effects of the corresponding single agents. Under similar levels of growth inhibition (~50%), single-agent EGFR inhibitors generated resistant outgrowth, whereas a five drug ULDC delayed resistance emergence. Increasing the number of inhibitors further delayed resistance emergence, with no detectable resistant outgrowth observed for combinations containing 8 to 14 inhibitors within the experimental timeframe. The five drug ULDC also retained measurable growth inhibitory activity against gefitinib resistant PC-9/GR cells, and resistant cells arising under five drug ULDC treatment exhibited markedly greater reversibility following drug withdrawal than those arising under single agent treatment. Although pharmacological additivity or synergy may contribute to the collective growth inhibitory effects of ULDCs, the divergent long term resistance outcomes observed under similar levels of growth inhibition indicate that resistance behaviour is not determined by inhibitory strength alone. Instead, our findings support a model in which increasing same target inhibitor diversity progressively constrains the adaptive trajectories available during resistance evolution, while therapeutic perturbation architecture may also influence the stability of resistant states that emerge. More broadly, these findings support the concept of same target collective suppression, in which multiple individually weak perturbations directed against the same target can collectively produce substantial antitumour activity and constrain resistance evolution across multiple stages. We propose that increasing same target inhibitor diversity may restrict accessible adaptive trajectories, while therapeutic perturbation architecture may also influence the stability of resistant states.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Multiple Low Dose therapy: an effective strategy to treat EGFR inhibitor-resistant NSCLC tumours
J. M. Fernandes Neto, E. Nadal, … R. Bernards·bioRxiv·Oct 29, 2019
- In vitro model for resistance in oncogene-dependent tumors at the limit of radiological detectability
N. Müller, J. Brägelmann, … J. Berg·bioRxiv·Sep 5, 2019
- Resistance to targeted therapies as a multifactorial, gradual adaptation to inhibitor specific selective pressures
R. Vander Velde, N. Yoon, … A. Marusyk·bioRxiv·Nov 19, 2019
- Leveraging death of drug-sensitive cancer cells to promote immune-mediated bystander killing of subclones of drug-resistant tumor cells
Mona Tomaschko, KangBo Ng, … Julian Downward·bioRxiv·Oct 27, 2025
- Inhibition of ULK1/2 and KRASG12C controls tumor growth in preclinical models of lung cancer
Phaedra C. Ghazi, Kayla T. O’Toole, … Martin McMahon·eLifePeer-reviewed·May 13, 2024
- A landscape of synergistic drug combinations in non-small-cell lung cancer
N. U. Nair, P. Greninger, … C. H. Benes·bioRxiv·Jun 3, 2021