ReviewPharmaceutical science advances2026
Recent advances in HER2-targeted inhibitors for cancer therapy.
Review in Pharmaceutical science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Machine Learning-Driven Discovery of Novel HER2 Inhibitors Through Integrated Virtual Screening and Molecular Dynamics Simulations.Pharmaceuticals (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
HER2 (ErbB2), a ligand-independent HER family member, regulates cell growth, differentiation, and survival. Its overexpression, gene amplification, and activating mutations are oncogenic drivers in multiple malignancies. The past two decades have witnessed transformative advances in HER2-targeted therapeutics, exemplified by tyrosine kinase inhibitors (TKIs), including first-generation reversible pan-HER (e.g., lapatinib), second-generation covalent pan-HER (neratinib, pyrotinib), and novel selective HER2 inhibitors (tucatinib, sevabertinib, zongertinib). Nonetheless, the extensive molecular heterogeneity in HER2 activation (e.g., dimerization, amplification) and mutation profiles (e.g., L755S, exon 20 insertions), combined with tumor-type-specific pathogenic mechanisms, poses significant challenges to precision oncology in clinical practice. Currently, numerous promising inhibitors in preclinical and clinical development hold potential for providing more effective treatment options. This review comprehensively summarizes recent advances in HER2-targeted TKIs and their emergent resistance mechanisms, further analyzing strategies to both mitigate off-target toxicity and overcome resistance through rational design of selective HER2 inhibitors. Collectively, these insights provide a roadmap for developing next-generation precision therapies in HER2-driven cancers.
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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.