KRAS and the Reality of Personalized Medicine in Non-Small Cell Lung Cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-01

AUTHORS

Havva O Kilgoz, Guzide Bender, Joseph M Scandura, Agnes Viale, Bahar Taneri

ABSTRACT

Lung cancer is the leading cause of mortality among all cancer types, worldwide. Latest available global statistics of World Health Organization report 1.59 million casualities in 2012 alone. Worldwide, 1 in 5 cancer deaths are caused by lung cancer. In 2016, in USA alone, estimated new cases of lung cancer are 224,390, of which 158,080 are expected to result in death as reported by National Cancer Institute. Non-small cell lung cancer (NSCLC), a histological subtype, comprises of about 85% of all cases, which is nearly 9 out of 10 lung cancer patients. Efforts are underway to develop and improve targeted therapy strategies. Certain mutations are being clinically targeted such as those in EGFR and ALK genes. However, one of the most frequently mutated genes in NSCLC is the KRAS oncogene, which is currently untargetable. Approximately 25% of all types of NSCLC tumors contain KRAS mutations, which remain as an undruggable challenge. These mutations are indicative of poor prognosis and confer negative response to standard chemotherapy. Furthermore, tumors harboring KRAS mutations are unlikely to respond to currently available targeted treatments such as Tyrosine Kinase Inhibitors. Therefore, there is a definitive, urgent need to generate new targeted therapy approaches for KRAS mutations. Current strategies have major limitations and evolve around targeting molecules upstream and downstream of KRAS. Direct targeting is not available in the clinic. Combination therapies of multiple agents are being sought. Concentrated efforts are needed to accelerate basic research and consecutive clinical trials to achieve effective targeting of KRAS. More... »

PAGES

380-387

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.2119/molmed.2016.00151

DOI

http://dx.doi.org/10.2119/molmed.2016.00151

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1068965861

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27447490


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