An Ex vivo cultivation model for circulating tumor cells: The success rate and correlations with cancer response to therapy

  • I. Hsuan Chiang
  • , Hsuan Chih Kuo
  • , Chun Ta Liao
  • , Yung Chia Kuo
  • , Shao Ming Yu
  • , Hung Ming Wang
  • , Yi Hui Huang
  • , Kim Anh Nguyen Thi
  • , Min Hsien Wu
  • , Jason Chia Hsun Hsieh*
  • *Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

3 Scopus citations

Abstract

BACKGROUND: Cancer mortality is closely linked to recurrence and distant metastasis, posing challenges in real-time tracking due to the invasiveness of current methods. Circulating tumor cells (CTCs) show promise as potential tools; however, their scarcity remains a significant obstacle.

METHOD: In this prospective study, we validated a simple culture protocol and investigated the correlation between clinical response and CTC growth status. Following negative selection, the isolated cells were subjected to ex vivo cultivation in a two-dimensional environment supplemented with cytokines for up to 21 days, followed by immunofluorescence staining for analysis.

RESULTS: Among 37 participants with solid tumors and distant metastasis (34.8% head and neck cancer), 47 samples were collected, from which CTCs were detected. The percentages of CTCs, atypical CTCs, and white blood cells during cultivation from days 7-21 were significantly different (p < 0.001, p < 0.001, and p = 0.330, respectively). Patients were further categorized into progressive disease (PD) and non-PD groups based on disease status, revealing significant differences in CTC growth rates, which increases from Days 7-21 between groups (5.5x vs. 2.8x growth, respectively; p < 0.001).

CONCLUSION: With the proposed protocols, we cultured CTCs from patients with various cancers for 21 days and identified a tool for predicting cancer response. The actual cancer status (PD or non-PD) at CTC isolation correlates to CTC growth rate, guiding the required observation time and parameters for culture.

Original languageEnglish
Article number100819
Pages (from-to)100819
JournalBiomedical Journal
Volume48
Issue number1
Early online date30 11 2024
DOIs
StatePublished - 02 2025

Bibliographical note

Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.

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

Keywords

  • CTC growth rate
  • Circulating tumor cells (CTCs)
  • Clinical response
  • Ex vivo culture
  • Negative selection

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