Evidence map›Paper›PMID 42465029›Full record

ReviewAmerican journal of cancer research2026

Research progress of EGFR-TKI resistance mechanism and treatment strategy in non-small cell lung cancer.

Yujia Zhai, Xilong Zhou, Weiming Zhao, Wenjing Fan, Tingting Li, Yaqi Wang, Huanhuan Zhou, Fang Su

Abstract readReview
In one paragraph

Review in American journal of cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Yujia ZhaiDepartment of Internal Medicine, The First Affiliated Hospital of Bengbu Medical University Bengbu 233004, Anhui, China.
Xilong ZhouDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University Bengbu 233004, Anhui, China.
Weiming ZhaoDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University Bengbu 233004, Anhui, China.
Wenjing FanDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University Bengbu 233004, Anhui, China.
Tingting LiDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University Bengbu 233004, Anhui, China.
Yaqi WangDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University Bengbu 233004, Anhui, China.
Huanhuan ZhouDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University Bengbu 233004, Anhui, China.
Fang SuDepartment of Medical Oncology, The First Affiliated Hospital of Bengbu Medical University Bengbu 233004, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor (EGFR) activating mutations are pivotal driver alterations in non-small cell lung cancer (NSCLC), with a markedly higher prevalence in Asian populations, female patients, and never-smokers relative to other subgroups. EGFR tyrosine kinase inhibitors (TKIs) have been established as the first-line standard-of-care therapy for EGFR-mutant NSCLC. The third-generation agent osimertinib significantly improves survival outcomes, with a confirmed median progression-free survival (PFS) of 18.9 months in the first-line setting based on the FLAURA pivotal trial. Nevertheless, acquired resistance universally develops within a finite treatment period, and primary resistance occurs in a subset of patients, collectively constituting the major clinical bottleneck limiting durable therapeutic benefits. EGFR-TKI resistance is characterized by substantial complexity and inter- and intra-tumoral heterogeneity, driven by a spectrum of genetic and non-genetic adaptive mechanisms. Notably, distinct resistance mechanisms differ substantially in clinical actionability, defined as the feasibility of clinical detection, availability of targeted therapeutic options, and potential for clinical translation. Existing review studies mainly categorize EGFR-TKI resistance based on genetic mutation types but fail to integrate clinical practicality, resulting in ambiguous hierarchical logic and limited clinical guiding value. To address this gap, the present review systematically reorganizes and classifies EGFR-TKI resistance mechanisms strictly based on clinical actionability and intervention feasibility, constructing a standardized three-tier hierarchical framework: clinically actionable core resistance mechanisms with mature clinical intervention regimens, potentially actionable auxiliary mechanisms with preclinical evidence but limited clinical validation, and refractory primary resistance mechanisms without routine effective intervention strategies. Specifically, core actionable mechanisms include EGFR on-target secondary mutations and compensatory bypass pathway activation, which are well-validated in clinical cohorts and correspond to mature targeted therapies; potentially actionable mechanisms cover tumor phenotypic transformation, metabolic reprogramming, epigenetic modification, autophagy dysregulation, and tumor microenvironment abnormalities, all of which are supported by robust preclinical data but lack large-scale prospective clinical verification; refractory primary resistance is attributed to inherent tumor genetic backgrounds and host individual factors that currently cannot be effectively targeted in routine clinical practice. On the basis of this hierarchical classification, we further correlate each tier of resistance mechanisms with corresponding targeted therapeutic strategies, including next-generation EGFR-TKIs, pathway-specific combination targeted therapy, novel translational therapeutics, metabolic intervention, and traditional Chinese medicine (TCM)-derived natural product adjuvant therapy. This study aims to clarify the hierarchical logical relationship of heterogeneous EGFR-TKI resistance mechanisms, provide evidence-based references for individualized post-resistance clinical decision-making, and offer feasible directions for subsequent translational research and therapeutic optimization.

Indexed as

clinical actionabilitydrug resistance mechanismepidermal growth factor receptorNon-small cell lung cancertherapeutic strategytyrosine kinase inhibitor

Identifiers

PMID42465029
PMCPMC13373540

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.