Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA

Abstract Background Blood-based methods using cell-free DNA (cfDNA) are under development as an alternative to existing screening tests. However, early-stage detection of cancer using tumor-derived cfDNA has proven challenging because of the small proportion of cfDNA derived from tumor tissue in ear...

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Bibliographic Details
Main Authors: Nathan Wan, David Weinberg, Tzu-Yu Liu, Katherine Niehaus, Eric A. Ariazi, Daniel Delubac, Ajay Kannan, Brandon White, Mitch Bailey, Marvin Bertin, Nathan Boley, Derek Bowen, James Cregg, Adam M. Drake, Riley Ennis, Signe Fransen, Erik Gafni, Loren Hansen, Yaping Liu, Gabriel L. Otte, Jennifer Pecson, Brandon Rice, Gabriel E. Sanderson, Aarushi Sharma, John St. John, Catherina Tang, Abraham Tzou, Leilani Young, Girish Putcha, Imran S. Haque
Format: Article
Language:English
Published: BMC 2019-08-01
Series:BMC Cancer
Subjects:
Cell-free DNA
Colorectal cancer
Screening
Whole-genome sequencing
Early-stage cancer
Online Access:http://link.springer.com/article/10.1186/s12885-019-6003-8

Internet

http://link.springer.com/article/10.1186/s12885-019-6003-8

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