| Literature DB >> 31837429 |
John Jiang1, Hans-Peter Adams2, Lijing Yao1, Stephanie Yaung1, Preeti Lal1, Aarthi Balasubramanyam3, Frederike Fuhlbrück2, Nalin Tikoo3, Alexander F Lovejoy1, Sebastian Froehler2, Li Tai Fang1, H Jost Achenbach4, Ralph Floegel5, Rainer Krügel6, John F Palma7.
Abstract
Molecular biomarkers hold promise for personalization of cancer treatment. However, a typical tumor biopsy may be difficult to acquire and may not capture genetic variations within or across tumors. Given these limitations, tumor genotyping using next-generation sequencing of plasma-derived circulating tumor (ct)-DNA has the potential to transform non-small cell lung cancer (NSCLC) management. Importantly, mutations detected in biopsied tissue must also be detected in plasma-derived ctDNA at different disease stages. Using the AVENIO ctDNA Surveillance kit (research use only), mutations in ctDNA from NSCLC subjects were compared with those identified in matched tumor tissue samples, retrospectively. Plasma and tissue samples were collected from 141 treatment-naïve NSCLC subjects (stage I, n = 48; stage II, n = 37; stage III, n = 33; stage IV, n = 23). In plasma samples, the median numbers of variants per subject were 4, 6, 8, and 9 in those with stage I, II, III, and IV disease, respectively. The corresponding values in tissue samples were 5, 5, 6, and 4. The overall tissue-plasma concordance of stage II through IV was 62.2% by AVENIO software call. On multivariate analysis, concordance was positively and significantly associated with tumor size and cancer stage. Next-generation sequencing-based analyses with the AVENIO ctDNA Surveillance kit could be an alternative approach to detecting genetic variations in plasma-derived ctDNA isolated from NSCLC subjects.Entities:
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Year: 2019 PMID: 31837429 DOI: 10.1016/j.jmoldx.2019.10.013
Source DB: PubMed Journal: J Mol Diagn ISSN: 1525-1578 Impact factor: 5.568