ReviewJournal of translational medicine2025
Application of EGFR-TKIs in brain tumors, a breakthrough in future?
Review in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Machine learning models for predicting response to epidermal growth factor receptor tyrosine kinase inhibitors in non-small cell lung cancer brain metastases: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Pooled it
- Beyond the mutation: integrating radiogenomics, epigenetics, and immune signatures to overcome therapeutic resistance in CNS tumors: a narrative review.Annals of medicine and surgery (2012) · 2026Article
- Targeting Kinase Signaling in Glioblastoma: Structural Optimization, Blood-Brain Barrier Dynamics and Combinatorial Translational Strategies.International journal of molecular sciences · 2026Review
- Review
- Integrating Molecular Pathology, Tumor Microenvironment, and Novel Therapies to Overcome Resistance in Glioblastoma.Journal of molecular neuroscience : MN · 2026Review
- Review
- Recent Advances in Targeted Therapies for Adult Gliomas.Current neurology and neuroscience reports · 2026Review
- Coexistence of histologically distinct intracranial tumors: Case series, literature review, and meta-analysis.Surgical neurology international · 2026Review
- Exploring Common Hub Genes in Thyroid Cancer and Hashimoto's Thyroiditis: Diagnostic Insights and Therapeutic Potential with Gefitinib.Current genomics · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Brain tumors, both primary and secondary, represent a significant clinical challenge due to their high mortality and limited treatment options. Primary brain tumors, such as gliomas and meningiomas, and brain metastases from cancers such as non-small cell lung cancer and breast cancer require innovative therapeutic strategies. Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR -TKIs) have emerged as a promising treatment option, particularly for tumors harboring EGFR mutations. This review examines the use of EGFR-TKIs in brain tumors, highlighting both laboratory and clinical research findings. In primary brain tumors and brain metastases, EGFR-TKIs have shown potential in controlling tumor growth and improving patient outcomes. Advanced applications, such as nano-formulated EGFR-TKIs and combination therapies with other pathway inhibitors, are being investigated to improve efficacy and overcome resistance. Challenges such as treatment-related events, resistance mechanisms and blood-brain barrier penetration remain significant hurdles. Addressing tumor heterogeneity through personalized medicine approaches is critical to optimizing EGFR-TKI therapies. This review highlights the need for continued research to refine these therapies and improve survival for patients with brain tumors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.