Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells

  • Colin M. Court
  • , Shuang Hou
  • , Lian Liu
  • , Paul Winograd
  • , Benjamin J. DiPardo
  • , Sean X. Liu
  • , Pin Jung Chen
  • , Yazhen Zhu
  • , Matthew Smalley
  • , Ryan Zhang
  • , Saeed Sadeghi
  • , Richard S. Finn
  • , Fady M. Kaldas
  • , Ronald W. Busuttil
  • , Xianghong J. Zhou
  • , Hsian Rong Tseng
  • , James S. Tomlinson
  • , Thomas G. Graeber
  • , Vatche G. Agopian

Research output: Contribution to journalArticlepeer-review

Abstract

Somatic copy number alterations (SCNAs) are important genetic drivers of many cancers. We investigated the feasibility of obtaining SCNA profiles from circulating tumor cells (CTCs) as a molecular liquid biopsy for hepatocellular carcinoma (HCC). CTCs from ten HCC patients underwent SCNA profiling. The Cancer Genome Atlas (TCGA) SCNA data were used to develop a cancer origin classification model, which was then evaluated for classifying 44 CTCs from multiple cancer types. Sequencing of 18 CTC samples (median: 4 CTCs/sample) from 10 HCC patients using a low-resolution whole-genome sequencing strategy (median: 0.88 million reads/sample) revealed frequent SCNAs in previously reported HCC regions such as 8q amplifications and 17p deletions. SCNA profiling revealed that CTCs share a median of 80% concordance with the primary tumor. CTCs had SCNAs not seen in the primary tumor, some with prognostic implications. Using a SCNA profiling model, the tissue of origin was correctly identified for 32/44 (73%) CTCs from 12/16 (75%) patients with different cancer types.

Original languageEnglish (US)
Article number16
Journalnpj Precision Oncology
Volume4
Issue number1
DOIs
StatePublished - Dec 1 2020
Externally publishedYes

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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