Multiomic characterization and drug testing establish circulating tumor cells as an ex vivo tool for personalized medicine

Jia Yang Chen, Hsu Huan Chou, Syer Choon Lim, Yen Jang Huang, Kuan Chen Lai, Chin Lin Guo, Chien Yi Tung, Chung Tsai Su, Jocelyn Wang, Edward Liu, Hsiao Fen Han, Po Ying Yeh, Chun Mei Hu, Alexander R. Dunn, Curtis W. Frank, Yi Chun Wu*, Muh Hwa Yang, Ying Chih Chang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Matching the treatment to an individual patient's tumor state can increase therapeutic efficacy and reduce tumor recurrence. Circulating tumor cells (CTCs) derived from solid tumors are promising subjects for theragnostic analysis. To analyze how CTCs represent tumor states, we established cell lines from CTCs, primary and metastatic tumors from a mouse model and provided phenotypic and multiomic analyses of these cells. CTCs and metastatic cells, but not primary tumor cells, shared stochastic mutations and similar hypomethylation levels at transcription start sites. CTCs and metastatic tumor cells shared a hybrid epithelial/mesenchymal transcriptome state with reduced adhesive and enhanced mobilization characteristics. We tested anti-cancer drugs on tumor cells from a metastatic breast cancer patient. CTC responses mirrored the impact of drugs on metastatic rather than primary tumors. Our multiomic and clinical anti-cancer drug response results reveal that CTCs resemble metastatic tumors and establish CTCs as an ex vivo tool for personalized medicine.

Original languageEnglish
Article number105081
JournaliScience
Volume25
Issue number10
DOIs
StatePublished - 21 Oct 2022

Keywords

  • Cancer
  • Omics
  • Precision medicine
  • Transcriptomics

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