Pre-analytical and analytical variables of label-independent enrichment and automated detection of circulating tumor cells in cancer patients

Claudia Koch, Simon A. Joosse, Svenja Schneegans, Okka J.W. Wilken, Melanie Janning, Desiree Loreth, Volkmar Müller, Katharina Prieske, Malgorzata Banys-Paluchowski, Ludwig J. Horst, Sonja Loges, Sven Peine, Harriet Wikman, Tobias M. Gorges, Klaus Pantel*

*Korrespondierende/r Autor/-in für diese Arbeit
7 Zitate (Scopus)

Abstract

Circulating tumor cells (CTCs) are promising tools for risk prediction and the monitoring of response to therapy in cancer patients. Within the EU/IMI CANCER-ID consortium, we validated CTC enrichment systems for future inclusion into clinical trials. Due to the known heterogeneity of markers expressed on CTCs, we tested the Parsortix® system (ANGLE plc) which enables label-independent CTC enrichment from whole blood based on increased size and deformability of these tumor cells compared to leukocytes. We performed extensive comparisons both with spiked-in blood models (i.e., MDA-MB-468 tumor cell line cells spiked at very low concentration into blood from healthy donors) and validated the protocol on actual clinical samples from breast, lung, and gastrointestinal cancer patients to define optimal conditions for CTC enrichment. Multiple parameters including cassette gap, separation pressure, and cell fixatives were compared in parallel. Also, the compatibility of blood collection tubes with whole genome amplification of isolated tumor cells was demonstrated and we furthermore established a workflow for semi-automated CTC detection using a quantitative cell imager. The established workflow will contribute to supporting the use of size-based CTC enrichment platforms in clinical trials testing the clinical validity and utility of CTCs for personalized medicine.

OriginalspracheEnglisch
Aufsatznummer442
ZeitschriftCancers
Jahrgang12
Ausgabenummer2
ISSN2072-6694
DOIs
PublikationsstatusVeröffentlicht - 02.2020

Strategische Forschungsbereiche und Zentren

  • Profilbereich: Lübeck Integrated Oncology Network (LION)
  • Zentren: Universitäres Cancer Center Schleswig-Holstein (UCCSH)

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