Department of Molecular, Cell and Cancer Biology
Computational Biology | Genetics | Genomics | Medical Genetics | Oncology | Therapeutics
AIM: Develop and apply a comprehensive and accurate next-generation sequencing based assay to help clinicians to match oncology patients to therapies.
MATERIALS and METHODS: The performance of the CANCERPLEX(R) assay was assessed using DNA from well-characterized routine clinical formalin-fixed paraffin-embedded (FFPE) specimens and cell lines.
RESULTS: The maximum sensitivity of the assay is 99.5% and its accuracy is virtually 100% for detecting somatic alterations with an allele fraction of as low as 10%. Clinically actionable variants were identified in 93% of patients (930 of 1000) who underwent testing.
CONCLUSION: The test's capacity to determine all of the critical genetic changes, tumor mutation burden, microsatellite instability status and viral associations has important ramifications on clinical decision support strategies, including identification of patients who are likely to benefit from immune checkpoint blockage therapies.
analytical validation, diagnostics, gene-panels, next-generation sequencing (NGS), precision oncology
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Copyright © 2017 KEW Inc
DOI of Published Version
Per Med. 2017 Jul;14(4):309-325. doi: 10.2217/pme-2017-0011. Epub 2017 May 26. Link to article on publisher's site
Eifert, Cheryl; Pantazi, Angeliki; Sun, Ruobai; Xu, Jia; Cingolani, Pablo; Heyer, Joerg; Russell, Meaghan; Lvova, Maria; Ring, Jennifer; Tse, Julie Y.; Lyle, Stephen; and Protopopov, Alexei, "Clinical application of a cancer genomic profiling assay to guide precision medicine decisions" (2017). Open Access Articles. 3145.
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