Skip to main content
eScholarship
Open Access Publications from the University of California

UCLA

UCLA Previously Published Works bannerUCLA

Somatic copy number profiling from hepatocellular carcinoma circulating tumor cells.

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

Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.

Main Content
For improved accessibility of PDF content, download the file to your device.
Current View