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Titel: Strategies for isolating and propagating circulating tumor cells in men with metastatic prostate cancer
Autor(en): Theil, Gerit
Bialek, Joanna
Weiß, Christine
Lindner, Felix
Fornara, Paolo
Erscheinungsdatum: 2022
Art: Artikel
Sprache: Englisch
Zusammenfassung: Selecting a well-suited method for isolating/characterizing circulating tumor cells (CTCs) is challenging. Evaluating sensitive and specific markers for prostate cancer (PCa)-specific CTC identification and analysis is crucial. We used the CellCollector EpCAM-functionalized system (CC-EpCAM) and evaluated and developed a PCa-functionalized version (CC-PCa); we then compared CTC isolation techniques that exploit the physical and biological properties of CTCs. We established two cohorts of metastatic PCa patients (mPCa; 15 in cohort 1 and 10 in cohort 2). CTC cultivation experiments were conducted with two capturing methods (Ficoll and ScreenCell). The most sensitive detection rates and highest CTC counts were reached with the CC-PCa and ScreenCell system. Patients with ≥5 CTCs isolated with CC-EpCAM had an overall survival (OS) of 0.93 years, and patients with ≥5 CTCs isolated with CC-PCa had an OS of 1.5 years in cohort 1. Nevertheless, we observed the highest sensitivity and specificity for 24-month survival by the Ficoll with CD45 depletion and ScreenCell system with May-Grunwald Giemsa (MGG) staining. The EpCAM molecule is an essential factor related to OS for CTC isolation based on biological properties in mPCa patients. The best-suited CTC capture system is not limited to one characteristic of cells but adapted to downstream analysis.
URI: https://opendata.uni-halle.de//handle/1981185920/87353
http://dx.doi.org/10.25673/85401
Open-Access: Open-Access-Publikation
Nutzungslizenz: (CC BY 4.0) Creative Commons Namensnennung 4.0 International(CC BY 4.0) Creative Commons Namensnennung 4.0 International
Sponsor/Geldgeber: Publikationsfonds MLU
Journal Titel: Diagnostics
Verlag: MDPI
Verlagsort: Basel
Band: 12
Heft: 2
Originalveröffentlichung: 10.3390/diagnostics12020497
Enthalten in den Sammlungen:Open Access Publikationen der MLU

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