Back to Search
Start Over
Optimization of rVAR2-based isolation of cancer cells in blood for building a robust assay for clinical detection of circulating tumor cells
- Source :
- Sand , N T , Petersen , T B , Bang-Christensen , S R , Ahrens , T D , Løppke , C , Jørgensen , A M , Gustavsson , T , Choudhary , S , Theander , T G , Salanti , A & Agerbæk , M Ø 2020 , ' Optimization of rVAR2-based isolation of cancer cells in blood for building a robust assay for clinical detection of circulating tumor cells ' , International Journal of Molecular Sciences , vol. 21 , no. 7 , 2401 .
- Publication Year :
- 2020
-
Abstract
- Early detection and monitoring of cancer progression is key to successful treatment. Therefore, much research is invested in developing technologies, enabling effective and valuable use of non-invasive liquid biopsies. This includes the detection and analysis of circulating tumor cells (CTCs) from blood samples. Recombinant malaria protein VAR2CSA (rVAR2) binds a unique chondroitin sulfate modification present on the vast majority of cancers and thereby holds promise as a near-universal tumor cell-targeting reagent to isolate CTCs from complex blood samples. This study describes a technical approach for optimizing the coupling of rVAR2 to magnetic beads and the development of a CTC isolation platform targeting a range of different cancer cell lines. We investigate both direct and indirect approaches for rVAR2-mediated bead retrieval of cancer cells and conclude that an indirect capture approach is most effective for rVAR2-based cancer cell retrieval.
Details
- Database :
- OAIster
- Journal :
- Sand , N T , Petersen , T B , Bang-Christensen , S R , Ahrens , T D , Løppke , C , Jørgensen , A M , Gustavsson , T , Choudhary , S , Theander , T G , Salanti , A & Agerbæk , M Ø 2020 , ' Optimization of rVAR2-based isolation of cancer cells in blood for building a robust assay for clinical detection of circulating tumor cells ' , International Journal of Molecular Sciences , vol. 21 , no. 7 , 2401 .
- Notes :
- application/pdf, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1322741367
- Document Type :
- Electronic Resource