Literature DB >> 27293992

Molecular characterization of circulating tumor cells in ovarian cancer.

Katarina Kolostova1, Michael Pinkas1, Anna Jakabova1, Eliska Pospisilova1, Pavla Svobodova1, Jan Spicka1, Martin Cegan2, Rafal Matkowski3, Vladimir Bobek4.   

Abstract

The main focus of the study was to detect circulating tumor cells (CTCs) in ovarian cancer (OC) patients using a new methodological approach (MetaCell(TM)) which is based on size-dependent separation of CTCs and subsequent cytomorphological evaluation. Cytomorphological evaluation using vital fluorescence microscopy approach enables to use the captured cells for further RNA/DNA analysis. The cytomorphological analysis is then completed by gene expression analysis (GEA). GEA showed that relative expression of EPCAM is elevated in CTC-enriched fractions in comparison to the whole peripheral blood sample and that the expression grows with in vitro cultivation time. Comparison of the relative gene expression level in the group of peripheral blood samples and CTC-fraction samples confirmed a statistically significant difference for the following genes (p < 0.02): KRT7, WT1, EPCAM, MUC16, MUC1, KRT18 and KRT19. Thus, we suggest that the combination of the above listed genes could confirm CTCs presence in OC patients with higher specificity than when GEA tests are performed for one marker only. The GEA revealed two separate clusters identifying patients with or without CTCs.

Entities:  

Keywords:  CTCs; MetaCell; circulating tumor cells; cultivation; gene expression; in vitro; ovarian cancer

Year:  2016        PMID: 27293992      PMCID: PMC4889713     

Source DB:  PubMed          Journal:  Am J Cancer Res        ISSN: 2156-6976            Impact factor:   6.166


  10 in total

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Authors:  Katarina Kolostova; Rafał Matkowski; Marcin Jędryka; Katarzyna Soter; Martin Cegan; Michael Pinkas; Anna Jakabova; Jiri Pavlasek; Jan Spicka; Vladimir Bobek
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  10 in total
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4.  Establishment of an optimized CTC detection model consisting of EpCAM, MUC1 and WT1 in epithelial ovarian cancer and its correlation with clinical characteristics.

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5.  Next generation sequencing of glioblastoma circulating tumor cells: non-invasive solution for disease monitoring.

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6.  Quantification of Wilms' tumor 1 mRNA by digital polymerase chain reaction.

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7.  Circulating tumor cells: what we know, what do we want to know about them and are they ready to be used in clinics?

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9.  Review article: Novel technologies in the treatment and monitoring of advanced and relapsed epithelial ovarian cancer.

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