Evidence map›Paper›PMID 42829510›Full record

ReviewCureus2026

Mechanisms of Resistance to Targeted Therapy in Epidermal Growth Factor Receptor (EGFR)- and Anaplastic Lymphoma Kinase (ALK)-Mutated Non-small Cell Lung Cancer: Molecular Basis, Emerging Biomarkers, and Therapeutic Strategies.

Sneha Dhillon, Heena Rathod, Sagar Dhillon

Abstract readReview
In one paragraph

Review in Cureus, 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

3 authors.

Sneha DhillonRadiation Oncology, All India Institute of Medical Sciences, Rajkot, IND.
Heena RathodRadiation Oncology, M. P. Shah Medical College, Jamnagar, IND.
Sagar DhillonOphthalmology, JIET Medical College and Hospital, Jodhpur, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, with the spectacular achievement of the tyrosine kinase inhibitors (TKIs), non-small cell lung cancer (NSCLC) carrying mutations of the gene epidermal growth factor receptor (EGFR) and rearrangements of the gene anaplastic lymphoma kinase (ALK) is becoming a paradigm of precision oncology. While there has been great progress in the field of progression-free survival (PFS) and longer-term clinical results have been achieved, resistance sets in, and the long-term impact of these therapies is limited. A summary of the molecular mechanisms of acquired resistance to EGFR- and ALK-targeted drugs is provided here, ranging from secondary changes in the target kinases, via activation of other signaling pathways, to epithelial-mesenchymal transition, intratumoral tumor heterogeneity, and interactions with the tumor microenvironment. For early detection of resistance, emerging biomarkers such as liquid biopsies, circulating tumor DNA, exosomes, and biomarkers, multi-omics characterization and AI-assisted prediction models are discussed. The review also covers an overview of the new treatment strategies on the horizon, including sequential TKI therapy, combination targeted therapy, fourth-generation inhibitors, antibody-drug conjugates, bispecific antibodies, and personalized precision medicine. Finally, current clinical trials, future directions, and challenge/limitations are discussed, focusing on the need for adaptive molecular monitoring and a customized approach to overcome resistance and maximize long-term outcomes in EGFR- and ALK-mutated NSCLC.

Indexed as

alkdrug resistanceegfrliquid biopsynon-small cell lung cancerprecision oncologytyrosine kinase inhibitors

Identifiers

PMID42829510
PMCPMC13633111

What OpenQuestion 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 OpenQuestion graph.