ReviewCancer drug resistance (Alhambra, Calif.)2026
From EGFR PTM network to TKI resistance: spatial subtypes and targeting in lung cancer.
Review in Cancer drug resistance (Alhambra, Calif.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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
1 citing paper in PubMed.
- LPIN2 contributes to tyrosine kinase inhibitor resistance via activation of PI3K pathway.Translational lung cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer represents the most prevalent and lethal malignancy worldwide. Although tyrosine kinase inhibitors targeting the epidermal growth factor receptor (EGFR) demonstrate clinical efficacy, the emergence of resistance remains a major therapeutic obstacle. This review comprehensively examines how six key post-translational modifications (PTMs) of EGFR - phosphorylation, palmitoylation, ubiquitination, glycosylation, acetylation, and S-nitrosylation - collectively govern its signaling dynamics, protein turnover, and subcellular trafficking. Based on this mechanistic framework, we propose a novel classification of resistance subtypes: membrane-retained, degradation-evading, nuclear-localized, and mitochondrial-localized EGFR, each defined by distinct PTM signatures and spatial localization. Furthermore, we analyze the intricate crosstalk among these PTMs, revealing hierarchical and often cooperative relationships that ultimately determine the fate and function of EGFR. Our analysis suggests that targeting specific spatial PTM hubs or their interactive networks, rather than EGFR alone, offers a promising strategy to overcome resistance. We also emphasize the need to integrate multi-PTM profiling with spatial proteomics to inform precision combination therapies. This work proposes a shift in the therapeutic paradigm from mere kinase inhibition toward reprogramming the pathological PTM network underlying resistant lung cancer.
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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.