Optimization of detection of circulating tumor cells by flow cytometry and qRT-PCR

dc.contributor.authorPogoda, Katarzyna
dc.contributor.authorRybojad, Paweł
dc.contributor.authorÁlvarez, Inés Ramírez
dc.contributor.authorMohanathas, Thusyanthan
dc.contributor.authorHosseini, Sarah
dc.contributor.authorTabarkiewicz, Jacek
dc.date.accessioned2019-04-08T12:22:59Z
dc.date.available2019-04-08T12:22:59Z
dc.date.issued2019
dc.description.abstractIntroduction. Treatment and diagnostic process in solid tumors like lung cancer are still based on invasive methods such as bronchoscopy, solid biopsy et cetera. One of the less invasive methods is a proposed “liquid biopsy” which is based on capturing of tumor cells circulating in the blood. Aim. The aim of the study was to standardize conditions and to assess the sensitivity of the identification of circulating tumor cells (CTCs) with the use of flow cytometry and qRT-PCR. Material and methods. In the first model of CTCs, cells from the A549 lung cancer cell line were suspended in 1 ml of healthy donors’ blood in 5 spikes increasingly: 0, 10, 50, 100 and 200 and the cells were detected in flow cytometer. In the second model, cells from the A549 and H1975 lung cancer cell lines were used. Spikes were prepared as in the first model, but cells were suspended in 400 μl of healthy donors’ blood and were detected with the use of qRT-PCR. Results. An increasing number of detected cytokeratin positive events from the 1st spike “0” to the last one - “200” was observed by flow cytometry. Median value in the negative control was 0 false positive cells. In tubes from “10” to “200” the median was 5, 43.5, 58 and 78, respectively. Mean sensitivity of flow cytometry was 63.79%. In qRT-PCR, correlation between increasing number of sorted cells in several spikes and the level of mRNA expression for KRT19 gene was not observed. Conclusion. Commonly available methods like flow cytometry and qRT-PCR seem to be attractive solutions for CTCs detection, but they need pre-enrichment procedures and standardization.pl_PL.UTF-8
dc.identifier.citationEuropean Journal of Clinical and Experimental Medicine T. 17, z. 1 (2019), s. 5–11pl_PL.UTF-8
dc.identifier.doi10.15584/ejcem.2019.1.1
dc.identifier.eissn2544-1361
dc.identifier.issn2544-2406
dc.identifier.urihttp://repozytorium.ur.edu.pl/handle/item/4513
dc.language.isoengpl_PL.UTF-8
dc.publisherWydawnictwo Uniwersytetu Rzeszowskiegopl_PL.UTF-8
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Międzynarodowe*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectcirculating tumor cellspl_PL.UTF-8
dc.subjectflow cytometrypl_PL.UTF-8
dc.subjectPCRpl_PL.UTF-8
dc.titleOptimization of detection of circulating tumor cells by flow cytometry and qRT-PCRpl_PL.UTF-8
dc.typearticlepl_PL.UTF-8
Pliki
Oryginalny pakiet
Aktualnie wyświetlane 1 - 1 z 1
Ładowanie...
Obrazek miniatury
Nazwa:
1 pogoda-optimization ofdetection.pdf
Rozmiar:
220.02 KB
Format:
Adobe Portable Document Format
Opis:
Pakiet licencji
Aktualnie wyświetlane 1 - 1 z 1
Ładowanie...
Obrazek miniatury
Nazwa:
license.txt
Rozmiar:
1.22 KB
Format:
Item-specific license agreed upon to submission
Opis: