Evidence map›Paper›PMID 42040768›Full record

ReviewCancer drug resistance (Alhambra, Calif.)2026

From EGFR PTM network to TKI resistance: spatial subtypes and targeting in lung cancer.

Birou Lai, Chang Xu, Siyi Lai, Mo Zhou, Hesheng Kong, Eryan Kong, Badrul Hisham Yahaya

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Birou LaiThe First Affiliated Hospital of Henan Medical University, Xinxiang 453100, Henan, China.
Chang XuXinxiang Key Laboratory of Protein Palmitoylation and Major Human Diseases, Institute of psychiatry and neuroscience, Henan Medical University, Xinxiang 453003, Henan, China.
Siyi LaiXinxiang Key Laboratory of Protein Palmitoylation and Major Human Diseases, Institute of psychiatry and neuroscience, Henan Medical University, Xinxiang 453003, Henan, China.
Mo ZhouXinxiang Key Laboratory of Protein Palmitoylation and Major Human Diseases, Institute of psychiatry and neuroscience, Henan Medical University, Xinxiang 453003, Henan, China.
Hesheng KongThe First Affiliated Hospital of Henan Medical University, Xinxiang 453100, Henan, China.
Eryan KongThe First Affiliated Hospital of Henan Medical University, Xinxiang 453100, Henan, China.
Badrul Hisham YahayaDepartment of Biomedical Sciences, Pusat Kanser Tun Abdullah Ahmad Badawi (PKTAAB), Universiti Sains Malaysia, Kepala Batas 13200, Penang, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

degradationEGFRLung cancerspatial PTMsubcellular traffickingTKI resistance

Identifiers

PMID42040768
PMCPMC13103255

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Registered trials

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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.