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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
The Cancer Genomics Resource List 2014
Mary M Zutter, Kenneth J Bloom, Liang Cheng
1From the Department of Pathology, Microbiology, and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee (Dr Zutter); the Department of Pathology, Clarient Diagnostic Services, Aliso Viejo, California (Dr Bloom); the Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis (Dr Cheng); the Department of Pathology and Immunology, Washington University School of Medicine, St Louis, Missouri (Drs Hagemann and Pfeifer); Surveys, College of American Pathologists, Northfield, Illinois (Dr Kaufman); the Department of Pathology, Emory University, Atlanta, Georgia (Dr Krasinskas); the Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston (Dr Lazar); the Department of Pathology and Laboratory Medicine, Fletcher Allen Health Care, Burlington, Vermont (Dr Leonard); the Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts (Dr Lindeman); the Department of Pathology, Mayo Clinic, Rochester, Minnesota (Dr Moyer); Molecular and Genomic Pathology Laboratory, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (Dr Nikiforova); the Department of Pathology, NorthShore University Health System, Evanston, Illinois (Dr Nowak); the Department of Pathology and Cell Biology, Columbia University Medical Center, New York, New York (Dr Sepulveda); the Department of Pathology, Case Medical Center/Case Western Reserve University, Cleveland, Ohio (Dr Willis); and the Department of Molecular Pathology and Hematopathology, University of Minnesota, Minneapolis (Dr Yohe).
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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