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A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection

Overview of attention for article published in PLOS ONE, May 2013
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Title
A Novel Fully Automated Molecular Diagnostic System (AMDS) for Colorectal Cancer Mutation Detection
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0062989
Pubmed ID
Authors

Shiro Kitano, Jamie Myers, Junko Nakamura, Akio Yamane, Mami Yamashita, Masato Nakayama, Yusuke Tsukahara, Hiroshi Ushida, Wanqing Liu, Mark J. Ratain, Masahiko Amano

Abstract

KRAS, BRAF and PIK3CA mutations are frequently observed in colorectal cancer (CRC). In particular, KRAS mutations are strong predictors for clinical outcomes of EGFR-targeted treatments such as cetuximab and panitumumab in metastatic colorectal cancer (mCRC). For mutation analysis, the current methods are time-consuming, and not readily available to all oncologists and pathologists. We have developed a novel, simple, sensitive and fully automated molecular diagnostic system (AMDS) for point of care testing (POCT). Here we report the results of a comparison study between AMDS and direct sequencing (DS) in the detection of KRAS, BRAF and PI3KCA somatic mutations.

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Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 18%
Researcher 5 18%
Student > Master 5 18%
Other 4 14%
Student > Bachelor 2 7%
Other 4 14%
Unknown 3 11%
Readers by discipline Count As %
Medicine and Dentistry 16 57%
Agricultural and Biological Sciences 5 18%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 1 4%
Unknown 2 7%