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J u n e 1 1 - 1 3 , 2 0 1 8 | D u b l i n , I r e l a n d

allied

academies

Page 70

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CANCER STEM CELLS AND

ONCOLOGY RESEARCH

11

th

International Conference on

Journal of Medical Oncology and Therapeutics

|

Volume 3

S Saada et al., J Med Oncl Ther 2018, Volume 3

DISCRIMINATION OF GLIOBLASTOMA

CANCER STEM LIKE CELLS BY UHF-

DIELECTROPHORESIS CROSSOVER

FREQUENCY

S Saada

1

, B Bessette

1

, R Manczak

2

, G Begaud

1

, C Dalmay

2

, S

Battu

1

, P Blondy

2

, M Inac

3

, C Baristiran Kaynak

3

, M Kaynak

3

,

C Palego

4

, M O Jauberteau

1

, A Pothier

2

and

F Lalloue

1

1

University of Limoges, France

2

IHP Microelectronics, Germany

3

Bangor University, United Kingdom

C

SCs appear as major biological and therapeutic targets, in particular

for GBM. Heterogeneity of tumor cell population, leads to optimize

characterization and sorting methods. It is actually based on the target

of a set of biological markers, which are efficiently used to validate

the stemness lineament. Besides the biological properties, physical

characteristics of CSCs are expected to be a potential way to discriminate

and sort CSC populations. These data summarize first’s results

glioblastoma cell lines’ characterization; measuring their crossover

frequencies by dielectrophoresis (DEP) technics in the UHF frequency

range (above 50 MHz). LN18 line cell was cultured following different

conditions, in order to achieve an enrichment of cancer stem cells (CSCs).

Based on DEP electrokinetic method, CSCs were discriminated the from

the differentiated cells. In this study, microfluidic lab-on-chip systems

implemented on Bipolar-Complementary Oxide Semiconductor (BiCMOS)

technology is used allowing single cell handling and analysis. Based

on measurements of their own intracellular specificities, the enriched

CSCs population, cultured in dedicated define medium, have shown

clear differences of DEP crossover frequency signatures compared to

differentiated cells cultured in normal medium. That demonstrates the

concept and validates the technique efficiency for CSC discrimination in

glioblastoma.

S Saada is currently working at the Université de

Limoges, Faculté de Médecine, France.

sofiane.saada@unilim.fr

BIOGRAPHY