Evidence map›Paper›PMID 41669368›Full record

ReviewJournal of cancer prevention2026

From Gefitinib to Amivantamab: Progress and Perspectives of Therapies Targeting the Epidermal Growth Factor Receptor in the Era of Precision Oncology.

Zhibin Liu, Myoung Ok Kim

Abstract readReview
In one paragraph

Review in Journal of cancer prevention, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
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

2 authors.

Zhibin LiuDepartment of Animal Science and Biotechnology, Research Institute for Innovative Animal Science, Kyungpook National University, Sangju, Korea.ORCID https://orcid.org/0000-0002-0444-4819
Myoung Ok KimDepartment of Animal Science and Biotechnology, Research Institute for Innovative Animal Science, Kyungpook National University, Sangju, Korea.ORCID https://orcid.org/0000-0001-6650-7734

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer remains one of the most prevalent and lethal malignancies worldwide. Most cases are caused by non-small-cell lung cancer (NSCLC). Over the past three decades, the treatment landscape of NSCLC has been profoundly reshaped by the discovery of epidermal growth factor receptor (EGFR) mutations and the subsequent development of EGFR-targeted therapies. This review provides a comprehensive overview of the evolution of four generations of EGFR tyrosine kinase inhibitors (EGFR-TKIs): first-generation reversible inhibitors such as gefitinib and erlotinib; second- and third-generation irreversible inhibitors, including afatinib, dacomitinib, and osimertinib; and emerging fourth-generation agents, such as amivantamab. Each generation has contributed to efficacy improvement, central nervous system penetration, and resistance management. Despite remarkable advances in development of EGFR-TKIs, acquired resistance and tumor heterogeneity remain major challenges. Bioinformatic analyses using The Cancer Genome Atlas (TCGA) datasets highlight the high mutation frequency and clinical significance of EGFR alterations, underscoring their pivotal role in tumor progression and prognosis. Future studies should explore combination therapies, antibody-drug conjugates, and next-generation allosteric inhibitors as promising strategies to overcome resistance. The evolution of EGFR-targeted therapy exemplifies the progress of precision oncology and serves as a basis for designing new paradigms in the management of lung cancer.

Indexed as

Drug resistanceEpidermal growth factor receptorNon-small-cell lung cancerPrecision medicineTyrosine kinase inhibitors

Identifiers

PMID41669368
PMCPMC12884662

What Socratic holds

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LicenceCC BY-NC
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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.