Literature DB >> 25436904

The Cancer Genomics Resource List 2014.

Mary M Zutter, Kenneth J Bloom, Liang Cheng, Ian S Hagemann, Jill H Kaufman, Alyssa M Krasinskas, Alexander J Lazar, Debra G B Leonard, Neal I Lindeman, Ann M Moyer, Marina N Nikiforova, Jan A Nowak, John D Pfeifer, Antonia R Sepulveda, Joseph E Willis, Sophia L Yohe1.   

Abstract

CONTEXT: Genomic sequencing for cancer is offered by commercial for-profit laboratories, independent laboratory networks, and laboratories in academic medical centers and integrated health networks. The variability among the tests has created a complex, confusing environment.
OBJECTIVE: To address the complexity, the Personalized Health Care (PHC) Committee of the College of American Pathologists proposed the development of a cancer genomics resource list (CGRL). The goal of this resource was to assist the laboratory pathology and clinical oncology communities.
DESIGN: The PHC Committee established a working group in 2012 to address this goal. The group consisted of site-specific experts in cancer genetic sequencing. The group identified current next-generation sequencing (NGS)-based cancer tests and compiled them into a usable resource. The genes were annotated by the working group. The annotation process drew on published knowledge, including public databases and the medical literature.
RESULTS: The compiled list includes NGS panels offered by 19 laboratories or vendors, accompanied by annotations. The list has 611 different genes for which NGS-based mutation testing is offered. Surprisingly, of these 611 genes, 0 genes were listed in every panel, 43 genes were listed in 4 panels, and 54 genes were listed in 3 panels. In addition, tests for 393 genes were offered by only 1 or 2 institutions. Table 1 provides an example of gene mutations offered for breast cancer genomic testing with the annotation as it appears in the CGRL 2014.
CONCLUSIONS: The final product, referred to as the Cancer Genomics Resource List 2014, is available as supplemental digital content.

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Year:  2014        PMID: 25436904     DOI: 10.5858/arpa.2014-0330-CP

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  9 in total

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