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Cited by 195

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

MET As a Possible Target for Non–Small-Cell Lung Cancer

Open access
Sadiq, Ahad A., Salgia, Ravi·2013·Journal of Clinical Oncology

Abstract

Lung cancer is a heterogeneous group of disorders that is now being subdivided into molecular subtypes with dedicated targeted therapies. The MET receptor tyrosine kinase has been identified as aberrantly overexpressed, potentially having activating mutations, and amplified in certain subsets of lung cancers. The ligand hepatocyte growth factor (HGF) can also be overexpressed in lung cancer or expressed in stroma, and both the MET receptor and the HGF ligand can be targets for therapeutics, especially in lung cancer. Activation of MET leads to a plethora of biochemical and biologic changes both in normal and cancerous cells. Preclinically, it has been shown that silencing or inactivating MET leads to decreased viability of cancer cells. There are a number of compounds against MET/HGF in clinical trials that have been shown to be active in lung cancers. This review will summarize the biology of MET as well as its therapeutic inhibition in lung cancer.

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Metadata

Authors
Sadiq, A. A., & Salgia, R.
Venue
Journal of Clinical Oncology
Published
2013-03-10
Volume
31
Issue
8
Pages
1089-1096
ISSN
  • 0732-183X (ISSN-L)
  • 1527-7755
OpenAlex
W2101441514
Cited by
195
References
6
FWCI
19.00
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: MET As a Possible Target for Non–Small-Cell Lung Cancer. https://app.cochat.ai/papers/10.1200/jco.2012.43.9422
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Sadiq, A. A., & Salgia, R. (2013). MET As a Possible Target for Non–Small-Cell Lung Cancer. Journal of Clinical Oncology. https://doi.org/10.1200/jco.2012.43.9422

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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.