Evidence map›Paper›PMID 41143954›Full record

ReviewNaunyn-Schmiedeberg's archives of pharmacology2026

EGFR-targeted tyrosine kinase inhibitors: advancements in cancer therapy.

Shaheen Ali, Anam Ilyas, Shagufi Nazar, Mukund Jha, Vishal Mathur, Sana Tanweer, Sonam Grover, Ozair Alam

Abstract readReview
PubMed Publisher
In one paragraph

Review in Naunyn-Schmiedeberg's archives of pharmacology, 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. Article
  2. Review
  3. 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

8 authors.

Shaheen Ali *Department of Molecular Medicine, School of Interdisciplinary Sciences and Technology, Jamia Hamdard, New Delhi, 110062, India.
Anam Ilyas *Medicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Shagufi NazarMedicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Mukund JhaMedicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Vishal MathurMedicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India.
Sana TanweerDepartment of Molecular Medicine, School of Interdisciplinary Sciences and Technology, Jamia Hamdard, New Delhi, 110062, India.
Sonam GroverDepartment of Molecular Medicine, School of Interdisciplinary Sciences and Technology, Jamia Hamdard, New Delhi, 110062, India.
Ozair AlamMedicinal Chemistry and Molecular Modelling Lab, Department of Pharmaceutical Chemistry, School of Pharmaceutical Education and Research, Jamia Hamdard, New Delhi, 110062, India. oalam@jamiahamdard.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer treatment has changed significantly with the advent of EGFR-targeted TK inhibitors (TKIs), especially for non-small cell lung cancer (NSCLC). Despite their effectiveness, problems including acquired resistance, particularly the T790M mutation, and non-specific toxicity still exist. Recent developments in drug delivery, combination therapy, and knowledge of resistance mechanisms are addressing these issues. The efficacy of EGFR-targeted therapy has been demonstrated in a wide range of cancers, including head and neck and colorectal cancers. Genomic profiling informs precision medicine, which improves treatment approaches. Targeted cancer therapies, including kinase inhibitors and monoclonal antibodies, block specific signaling pathways essential for tumor growth, offering a more precise alternative to traditional chemotherapy. Moreover, nanotechnology enhances drug delivery, reduces toxicity, and overcomes resistance through advanced nanoparticles like polymeric micelles, PLGA, and chitosan, improving solubility, bioavailability, and sustained EGFR TKI release. This review discusses EGFR's significance in cancer therapy, the evolution of EGFR-targeted TKIs, resistance challenges, and advancements in nanotechnology-based drug delivery. We explore how polymeric and inorganic nanoparticles improve pharmacokinetics and targeted delivery, offering promising solutions to overcome resistance and enhance the therapeutic potential of EGFR-targeted therapies in personalized oncology.

Indexed as

Antineoplastic AgentsNeoplasmsProtein Kinase InhibitorsAnimalsDrug Delivery SystemsDrug Resistance, NeoplasmErbB ReceptorsHumansMolecular Targeted TherapyNanoparticlesTyrosine Kinase InhibitorsAntineoplastic AgentsEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsTyrosine Kinase InhibitorsEGFRNanoparticleOncologyTKTK Inhibitors

Identifiers

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.