ReviewClinical pharmacology : advances and applications2017
Role of afatinib in the treatment of advanced lung squamous cell carcinoma.
Review in Clinical pharmacology : advances and applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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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.
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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.
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Who cites it
9 citing papers in PubMed, 18 citations in OpenAlex.
- 177 Lu-FAP-2286 Therapy for Advanced Lung Adenocarcinoma With Multiple Metastases : A Promising Last-line Treatment Option.Clinical nuclear medicine · 2026Article
- The inhibitory effect and targets of CRM197 on tumor growth in arsenic-transformed cells and lung cancer cells.Scientific reports · 2025Article
- Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders.Scientific reports · 2025Article
- Docking and Selectivity Studies of Covalently Bound Janus Kinase 3 Inhibitors.International journal of molecular sciences · 2023Article
- "From molecular to clinic": The pivotal role of CDC42 in pathophysiology of human papilloma virus related cancers and a correlated sensitivity of afatinib.Frontiers in immunology · 2023Article
- SP3-FAIMS Chemoproteomics for High-Coverage Profiling of the Human Cysteinome*.Chembiochem : a European journal of chemical biology · 2021Article
- Identification of 4-anilino-6-aminoquinazoline derivatives as potential MERS-CoV inhibitors.Bioorganic & medicinal chemistry letters · 2020Article
- Concurrent inhibition of ErbB family and MEK/ERK kinases to suppress non-small cell lung cancer proliferation.American journal of translational research · 2020Article
- PCC0208027, a novel tyrosine kinase inhibitor, inhibits tumor growth of NSCLC by targeting EGFR and HER2 aberrations.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer treatment has considerably changed over the last few years: the identification of druggable oncogenic alterations and innovative immunotherapic approaches granted lung cancer patients the possibility of more efficient and less toxic therapeutic options than chemotherapy. Nowadays, lung squamous cell carcinomas (SqCCs) patients have the chance to benefit from novel treatment alternatives, including immune checkpoint blockade and anti-angiogenic agents and, given positive trial results, from afatinib, a second generation tyrosine kinase inhibitor (TKI) that irreversibly antagonizes ErbB family tyrosine kinase receptors. Considering the role of the ErbB-signaling cascade in lung SqCC, it is relevant to note that ErbB1 (epidermal growth factor receptor [EGFR]) is overexpressed in 85% of non-small-cell lung carcinomas (NSCLCs), particularly in patients with squamous histology, and is associated with poor prognosis. For this reason, EGFR activity has been investigated as a therapeutic strategy in lung SqCC. Even taking into account statistically positive trial results, anti-EGFR approach still remains controversial in unselected/wild-type EGFR lung SqCC patients, as well as the optimal timing and sequencing of all available targeted therapies considering the approval of immunotherapeutic agents. This review analyzes current data about EGFR inhibition in lung SqCC with a specific focus on afatinib in order to elucidate available clinical evidence supporting EGFR targeting in this setting as well as a future management of advanced lung SqCCs in the context of new emerging immunotherapeutic drugs.
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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.