Accuracy of epidermal growth factor receptor gene mutation analysis by direct sequencing method based on small biopsy specimens from patients ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-10

AUTHORS

Katsuhiro Masago, Shiro Fujita, Tadashi Mio, Masataka Ichikawa, Keiichiro Sakuma, Young Hak Kim, Yukimasa Hatachi, Akiko Fukuhara, Kiyofumi Kamiyama, Makoto Sonobe, Ryo Miyahara, Hiroshi Date, Michiaki Mishima

ABSTRACT

BACKGROUND: The importance of an epidermal growth factor receptor (EGFR) gene mutation has been recognized in patients with non-small cell lung cancer (NSCLC), and many reports have indicated that the presence of somatic mutations in the EGFR gene is a strong predictor of both clinical and in vitro sensitivity to EGFR tyrosine kinase inhibitors; thus necessitating the standardization of a mutation screening system based on the sources of tissue samples. METHODS: In this study, we compared the results of EGFR mutation analyses in 19 small biopsy specimens with results obtained in surgical materials from the same patients with NSCLC. We used a laser microdissection method and a direct sequencing method, and we confirmed the accuracy of EGFR mutation analysis with small biopsy specimens. RESULTS: The results obtained from the biopsy specimens were identical to those obtained from the surgical materials in 18 of the 19 patients analyzed. For the 1 patient in whom the results obtained from the two sets of materials were not identical, the number of cancer cells in one bronchoscopic specimen was insufficient to perform analyses of all three exons of interest (i.e., exons 18, 19, and 21), and so only exon 19 was sequenced, and no mutation was demonstrated. CONCLUSION: We conclude that satisfactory accuracy can be achieved by the genomic analysis of a small biopsy specimen from a patient with NSCLC and we note that it is possible to conduct prospective clinical trials that include patient assignment for treatment based on the results obtained. More... »

PAGES

442-446

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10147-008-0772-4

DOI

http://dx.doi.org/10.1007/s10147-008-0772-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037715015

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18946755


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10147-008-0772-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10147-008-0772-4'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10147-008-0772-4'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10147-008-0772-4'


 

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307 schema:name Division of Integrated Oncology, Institute of Biomedical Research and Innovation, Hyogo, Japan
308 rdf:type schema:Organization
 




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