ReviewFrontiers in pharmacology2025
Drug-tolerant persister cell in cancer: reversibility, microenvironmental interplay, and therapeutic strategies.
Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- A four‑gene signature identifies TKI‑induced persister cells and uncovers a ZLN005‑induced pyroptotic vulnerability via the GSDME pathway in EGFR‑mutant lung cancer.Molecular medicine reports · 2026Article
- Review
- Surgery-first versus neoadjuvant chemotherapy in stage I (cT1c) triple-negative breast cancer: A critical reappraisal.Breast (Edinburgh, Scotland) · 2026Review
- Tumor Plasticity and Microenvironmental Crosstalk as Drivers of Metastasis and Therapy Resistance.MedComm · 2026Review
- Therapy-Driven Molecular Evolution of Bladder Cancer: Roles of Cellular Plasticity and Tumor Microenvironment.International journal of molecular sciences · 2026Review
- Computational Approaches to Cancer Cell Dormancy: From Detection to Dynamic Modelling.Biomolecules · 2026Review
- Molecular analysis of tumor recurrence using established cancer stem cell-line and drug discovery.International journal of clinical oncology · 2026Review
- Harnessing transcriptomics for discovery of natural products to overcome acquired cancer resistance.Archives of pharmacal research · 2026Review
- Multidimensional tumor heterogeneity and its role in therapeutic resistance.Frontiers in immunology · 2026Review
- Cisplatin resistance in oral squamous cell carcinoma: mechanisms, reversal strategies, and emerging technologies.Frontiers in physiology · 2026Review
- Sleepyhead, deadly awakening: the dynamics of metastatic organotropism, tumor dormancy and therapeutic implications.Frontiers in oncology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug-tolerant persister (DTP) cells are a subpopulation of cancer cells capable of surviving therapeutic stress through reversible, non-genetic adaptations. These cells contribute to minimal residual disease and eventual tumor relapse. Understanding the mechanisms that govern the entry into and exit from the DTP state-such as epigenetic remodeling, metabolic rewiring, and transcriptional plasticity-reveals actionable vulnerabilities. This article reviews the biological basis of DTP reversibility, outlines the major challenges in targeting these cells, and proposes innovative therapeutic strategies including epigenetic inhibitors, metabolic disruptors, and adaptive dosing regimens. We also highlight the importance of biomarker development and dynamic monitoring. Targeting DTP cells at their reversible stage may prevent permanent resistance, offering a promising avenue to improve treatment durability and patient outcomes in cancer therapy.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.