ReviewAdvances in pharmacological and pharmaceutical sciences2023
Busting the Breast Cancer with AstraZeneca's Gefitinib.
Review in Advances in pharmacological and pharmaceutical sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed, 3 citations in OpenAlex.
- Development of a prognostic model for breast cancer patients based on intratumoral tumor-infiltrating lymphocytes using machine learning algorithms.Discover oncology · 2025Article
- Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer is the most common cancer diagnosed in women, and in 2020, there were 684, 996 deaths due to this disease. Epidermal growth factor receptors (EGFRs) and their respective ligands have been blamed for the pathogenesis and resistance to treatment in specific breast cancer cases. With EGFR having four homologues: EGFR1, EGFR2, EGFR3, and EGFR4, in-depth understanding of EGFR biology led to the discovery of small-molecule inhibitors and antibodies against this receptor. Gefitinib (GEF), a tyrosine kinase inhibitor of EGFR1, possesses a vast potential for treatment against breast cancer and is supported by a multiplicity of experiments. Unfortunately, in clinical trials, GEF did not show the outcomes expected with complete response and disease progress. This is due to incomplete understanding of the molecular mechanisms involved in EGFR signaling and endocrine sensitivity. Hence, additional in-depth experiments are needed regarding various molecular pathways and crosstalk pathways to comprehend GEF's action mechanism thoroughly in breast cancer patients. In this review, the role of EGFR in the development and pathogenesis of breast cancer and the pharmacokinetics and pharmacotherapy of GEF for the treatment of breast cancer have been elaborated. Nanomedicines synthesized with GEF have shown positive experimental response, paving a promising path for GEF against breast cancer.
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.