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Cited by 949

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

EGFR Mutations and Lung Cancer

da Cunha Santos, Gilda, Shepherd, Frances A., Tsao, Ming Sound·2011·Annual Review of Pathology: Mechanisms of Disease

Abstract

Epidermal growth factor receptor (EGFR) is a transmembrane protein with cytoplasmic kinase activity that transduces important growth factor signaling from the extracellular milieu to the cell. Given that more than 60% of non–small cell lung carcinomas (NSCLCs) express EGFR, EGFR has become an important therapeutic target for the treatment of these tumors. Inhibitors that target the kinase domain of EGFR have been developed and are clinically active. More importantly, such tyrosine kinase inhibitors (TKIs) are especially effective in patients whose tumors harbor activating mutations in the tyrosine kinase domain of the EGFR gene. More recent trials have suggested that for advanced NSCLC patients with EGFR mutant tumors, initial therapy with a TKI instead of chemotherapy may be the best choice of treatment. Therefore, mutation testing is mandatory to identify these patients, given that selection based only on clinico-pathologic characteristics is inadequate. We review the role of EGFR mutations in the diagnosis and management of NSCLC.

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Crossref · 10.1146/annurev-pathol-011110-130206

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Metadata

Authors
da Cunha Santos, G., Shepherd, F. A., & Tsao, M. S.
Venue
Annual Review of Pathology: Mechanisms of Disease
Published
2011-02-28
Volume
6
Issue
1
Pages
49-69
ISSN
  • 1553-4006 (ISSN-L)
  • 1553-4014
OpenAlex
W2154969724
Cited by
949
References
23
FWCI
4.17
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: EGFR Mutations and Lung Cancer. https://app.cochat.ai/papers/10.1146/annurev-pathol-011110-130206
The paper
da Cunha Santos, G., Shepherd, F. A., & Tsao, M. S. (2011). EGFR Mutations and Lung Cancer. Annual Review of Pathology: Mechanisms of Disease. https://doi.org/10.1146/annurev-pathol-011110-130206

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.