ArticleJournal of the Royal Society, Interface2025
Targeting NSCLC drug resistance: Systems biology insights into the MALAT1/miR-145-5p axis and Wip1 in regulating ferroptosis and apoptosis.
Article in Journal of the Royal Society, Interface, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- MicroRNAs and Cellular Senescence in Melanoma: An Underexplored Link to Tumor Progression-A Systematic Review with Bioinformatics Analyses.International journal of molecular sciences · 2026Pooled it
- TWF1 inhibition overcomes cisplatin resistance in NSCLC by inducing ferroptosis via p53-dependent SLC7A11 repression and autophagy-mediated glutathione metabolism reprogramming.Cancer gene therapy · 2026Article
- Functional role of long non-coding RNA MALAT1 and HOTAIR in lung cancer.Non-coding RNA research · 2026Review
- GNL3L-LMNB1 signaling axis promotes lung squamous cell carcinoma growth and ferroptosis resistance via NF-κB activation.Journal of thoracic disease · 2026Article
- An ATM-AMPK-Wip1 feedback loop governing DNA-damage signaling and tumor stress responses.Cell death & disease · 2026Article
- Research progress of MicroRNA in lung cancer.Discover oncology · 2026Review
- p53 Orchestrates the Immunogenic-Tolerogenic Pyroptosis Switch in Non-Small Cell Lung Cancer: A Systems Biology Approach.Computational and structural biotechnology journal · 2026Article
- Targeting ferroptosis to overcome drug resistance in lung cancer.Translational lung cancer research · 2025Review
- Targeting NSCLC drug resistance: Systems biology insights into the MALAT1/miR-145-5p axis and Wip1 in regulating ferroptosis and apoptosis.Journal of the Royal Society, Interface · 2025Article
- Tumor-Associated Autoantibodies Anti-p53 is Associated with Poor Prognosis in Patients with Lung Adenocarcinoma.Cancer management and research · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The long non-coding RNA metastasis-associated lung adenocarcinoma transcript 1 (lncRNA MALAT1) and microRNA-145-5p (miR-145) axis play a pivotal role in regulating drug resistance, apoptosis and senescence in non-small cell lung cancer (NSCLC). MALAT1 drives drug resistance by suppressing miR-145 and activating MUC1, thereby inhibiting ferroptosis; however, its precise role in regulating ferroptosis in NSCLC remains unclear. Therefore, we propose a computational modelling approach to unravel the impact of the MALAT1/miR-145 axis on ferroptosis and drug resistance, to identify potential therapeutic strategies that promote ferroptosis. Using Boolean logic and a stochastic updating scheme, we developed and validated a robust regulatory model that encompasses ferroptosis, apoptosis, senescence and drug resistance pathways. The model, based on extensive literature and validated through gain- and loss-of-function perturbations, demonstrated strong alignment with observed clinical data that were not included in its construction. Our analysis identified three previously unreported feedback loops, miR-145/Wip1/p53, miR-145/Myc/MALAT1 and miR-145/MUC1/BMI1, establishing miR-145 as a central regulator in NSCLC. Perturbations targeting MALAT1 and wild-type p53-induced phosphatase 1 (Wip1) revealed potential therapeutic opportunities, with miR-145 activation emerging as a promising strategy to induce ferroptosis and overcome drug resistance. These findings highlight the MALAT1/miR-145 axis as a transformative therapeutic target, presenting a computational foundation to advance NSCLC treatment strategies.
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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.