Nature Communications (Sep 2022)

Cost-effective methylome sequencing of cell-free DNA for accurately detecting and locating cancer

  • Mary L. Stackpole,
  • Weihua Zeng,
  • Shuo Li,
  • Chun-Chi Liu,
  • Yonggang Zhou,
  • Shanshan He,
  • Angela Yeh,
  • Ziye Wang,
  • Fengzhu Sun,
  • Qingjiao Li,
  • Zuyang Yuan,
  • Asli Yildirim,
  • Pin-Jung Chen,
  • Paul Winograd,
  • Benjamin Tran,
  • Yi-Te Lee,
  • Paul Shize Li,
  • Zorawar Noor,
  • Megumi Yokomizo,
  • Preeti Ahuja,
  • Yazhen Zhu,
  • Hsian-Rong Tseng,
  • James S. Tomlinson,
  • Edward Garon,
  • Samuel French,
  • Clara E. Magyar,
  • Sarah Dry,
  • Clara Lajonchere,
  • Daniel Geschwind,
  • Gina Choi,
  • Sammy Saab,
  • Frank Alber,
  • Wing Hung Wong,
  • Steven M. Dubinett,
  • Denise R. Aberle,
  • Vatche Agopian,
  • Steven-Huy B. Han,
  • Xiaohui Ni,
  • Wenyuan Li,
  • Xianghong Jasmine Zhou

DOI
https://doi.org/10.1038/s41467-022-32995-6
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 12

Abstract

Read online

Early cancer detection by cell-free DNA (cfDNA) is challenged by the low amount of tumour DNA in cfDNA, tumour heterogeneity and the small patient cohorts. Here, the authors develop a method, cfMethyl-Seq, for cost-effective methylome profiling of cfDNA and for detecting and locating cancer.