Open Access

Downloads

Download data is not yet available.

Abstract

Circulating tumor cells (CTCs) have been recognized as holding extraordinary potential for disease management in cancer patients including prognostic, therapy, and monitoring disease progression. Sensitive and quick detection of CTC could enable the approach to patients with early-stage and metastatic cancer. The technical challenge in this field consists of finding rare tumor cells (just a few CTCs in 1 ml of blood) and being able to distinguish them from epithelial non-tumor cells and leukocytes. The current methodologies have significant limitations such as low capture efficiency, cannot capture live cells and time consuming. This paper presents the development of a new generation of microfilter for size-based isolation of CTCs in epithelial cancer using silicon nitride membrane filters 0.5 cm by 0.5 cm square sheets with slit shaped pores of 5μm by 15μm. We evaluated the sensitivity and efficiency of CTCs capture in a model system using the MCF-7 cells (breast cancer cells) spiked in the blood from the healthy donors. Preliminary results this research shown that silicon nitride membrane filter is a very good candidate to be CTCs detection platfo.



Author's Affiliation
Article Details

Issue: Vol 17 No 2 (2014)
Page No.: 35-46
Published: Jun 30, 2014
Section: Natural Sciences - Research article
DOI: https://doi.org/10.32508/stdj.v17i2.1313

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
To, V. V., Dao, T. P. T., Pham, V. B., Tong, D. H., & Tran, V. H. (2014). Application of silicon nitride membrane filters in circulating tumor cell capture. Science and Technology Development Journal, 17(2), 35-46. https://doi.org/https://doi.org/10.32508/stdj.v17i2.1313

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 952 times
Download PDF   = 497 times
Total   = 497 times