ReviewBiomedicines2026
Overcoming mTOR Inhibitor Resistance: From Biological Basis to Therapeutic Strategies.
Review in Biomedicines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Resistance to mTOR inhibition is mediated by multiple adaptive mechanisms, including feedback activation of the PI3K/AKT/mTOR pathway, autophagic adaptation, metabolic reprogramming, immune evasion, tumor heterogeneity, and microenvironmental crosstalk. Recent research has also elucidated the crucial role of RNA modifications, particularly m6A methylation, and the regulatory impact of non-coding RNAs in facilitating tumor adaptation to mTOR blockade. Accordingly, novel therapeutic approaches are emerging. The combination of PI3K/AKT/mTOR inhibitors with immune checkpoint blockades represents a promising strategy for overcoming therapeutic resistance. Additionally, next-generation mTOR inhibitors and synthetic lethality strategies are being tailored to target specific tumor profiles. Furthermore, advancements in multi-omics technologies and AI-powered predictive models are transforming personalized cancer treatment. This comprehensive review delves into the molecular intricacies of mTOR inhibitor resistance and explores innovative strategies aimed at enhancing therapeutic outcomes and improving patient responses.
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What Socratic 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 Socratic graph.