Plasma DNA end-motif profiling as a fragmentomic marker in cancer, pregnancy, and transplantation

  • Peiyong Jiang
  • , Kun Sun
  • , Wenlei Peng
  • , Suk Hang Cheng
  • , Meng Ni
  • , Philip C. Yeung
  • , Macy M.S. Heung
  • , Tingting Xie
  • , Huimin Shang
  • , Ze Zhou
  • , Rebecca W.Y. Chan
  • , John Wong
  • , Vincent W.S. Wong
  • , Liona C. Poon
  • , Tak Yeung Leung
  • , W. K.Jacky Lam
  • , Jason Y.K. Chan
  • , Henry L.Y. Chan
  • , K. C.Allen Chan
  • , Rossa W.K. Chiu
  • Y. M. Dennis Lo*
*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

254 Citations (Scopus)

Abstract

Plasma DNA fragmentomics is an emerging area of research covering plasma DNA sizes, end points, and nucleosome footprints. In the present study, we found a sig-nificant increase in the diversity of plasma DNA end motifs in patients with hepatocellular carcinoma (HCC). Compared with patients without HCC, patients with HCC showed a preferential pattern of 4-mer end motifs. In particular, the abundance of plasma DNA motif CCCA was much lower in patients with HCC than in subjects without HCC. The aberrant end motifs were also observed in patients with other cancer types, including colorectal cancer, lung cancer, nasopharyngeal carcinoma, and head and neck squamous cell carcinoma. We further observed that the profile of plasma DNA end motifs originating from the same organ, such as the liver, placenta, and hematopoietic cells, generally clustered together. The profile of end motifs may therefore serve as a class of biomarkers for liquid biopsy in oncology, noninvasive prenatal testing, and transplantation monitoring. SIGNIFICANCE: Plasma DNA molecules originating from the liver, HCC and other cancers, placenta, and hematopoietic cells each harbor a set of characteristic plasma DNA end motifs. Such markers carry tissue-of-origin information and represent a new class of biomarkers in the nascent field of fragmentomics.

Original languageEnglish
Pages (from-to)664-673
Number of pages10
JournalCancer Discovery
Volume10
Issue number5
DOIs
Publication statusPublished - 1 May 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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