| Literature DB >> 28814544 |
Jillian Phallen1, Mark Sausen2, Vilmos Adleff1, Alessandro Leal1, Carolyn Hruban1, James White1, Valsamo Anagnostou1, Jacob Fiksel1, Stephen Cristiano1, Eniko Papp1, Savannah Speir1, Thomas Reinert3, Mai-Britt Worm Orntoft3, Brian D Woodward4, Derek Murphy2, Sonya Parpart-Li2, David Riley2, Monica Nesselbush2, Naomi Sengamalay2, Andrew Georgiadis2, Qing Kay Li1, Mogens Rørbæk Madsen5, Frank Viborg Mortensen6, Joost Huiskens7,8, Cornelis Punt8, Nicole van Grieken9, Remond Fijneman10, Gerrit Meijer10, Hatim Husain4, Robert B Scharpf1, Luis A Diaz1, Siân Jones2, Sam Angiuoli2, Torben Ørntoft3, Hans Jørgen Nielsen11, Claus Lindbjerg Andersen3, Victor E Velculescu12.
Abstract
Early detection and intervention are likely to be the most effective means for reducing morbidity and mortality of human cancer. However, development of methods for noninvasive detection of early-stage tumors has remained a challenge. We have developed an approach called targeted error correction sequencing (TEC-Seq) that allows ultrasensitive direct evaluation of sequence changes in circulating cell-free DNA using massively parallel sequencing. We have used this approach to examine 58 cancer-related genes encompassing 81 kb. Analysis of plasma from 44 healthy individuals identified genomic changes related to clonal hematopoiesis in 16% of asymptomatic individuals but no alterations in driver genes related to solid cancers. Evaluation of 200 patients with colorectal, breast, lung, or ovarian cancer detected somatic mutations in the plasma of 71, 59, 59, and 68%, respectively, of patients with stage I or II disease. Analyses of mutations in the circulation revealed high concordance with alterations in the tumors of these patients. In patients with resectable colorectal cancers, higher amounts of preoperative circulating tumor DNA were associated with disease recurrence and decreased overall survival. These analyses provide a broadly applicable approach for noninvasive detection of early-stage tumors that may be useful for screening and management of patients with cancer.Entities:
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Year: 2017 PMID: 28814544 PMCID: PMC6714979 DOI: 10.1126/scitranslmed.aan2415
Source DB: PubMed Journal: Sci Transl Med ISSN: 1946-6234 Impact factor: 17.956