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Volume 9, Issue 9 (Suppl)

J Cancer Sci Ther, an open access journal

ISSN: 1948-5956

World Cancer 2017

October 19-21, 2017

25

th

WORLD CANCER CONFERENCE

October 19-21, 2017 | Rome, Italy

A specific neuronal calcium sensor protein as potential predictive biomarker for ovarian cancer

therapy

Sarah Konrad

1,2

, Kristina Schwamborn

3

, Daniela Hellmann

2

, Achim Krüger

4

, Alfons Meindl

2

and

Juliane Ramser

2

1

German Cancer Consortium (DKTK), Germany

2

Clinic of Gynecology and Obstetrics, TU München, Germany

3

Institute of Pathology, TU München, Germany

4

Institute of Molecular Immunology & Experimental Oncology, Germany

S

poradic ovarian cancer has the highest relative mortality among gynecological cancers as approximately 75% of patients are

diagnosed at an advanced stage, resulting in poor overall survival. To improve patient’s outcome targeted therapy strategies

are required urgently. In search of new biomarkers for personalized therapies, we recently identified a gene encoding a specific

neuronal calcium sensor (NCS). The NCS-family is known to be involved in calcium-signaling on membranes and functions

as a calcium dependent molecular switch. We demonstrated that its expression, analyzed on mRNA as well as on protein level,

was significantly associated with patient survival. Moreover, the putative biomarker persisted also as a significant factor for

OS (p=0.008) and RFS (p=0.014) in multivariable analyses. As little is known about the involvement of the protein in cancer,

we established stable knock-downs in ovarian cancer cell lines to explore the effect of its expression on cancer cell viability

and migration. Most strikingly, the knock-down cells reacted significantly less sensitive to cisplatin treatment as compared

to the control cells. This effect was further investigated using different cisplatin concentrations and treatment durations. The

differences were reproducible and remained significant. Since platinum-based therapy represents the “gold-standard” in

ovarian cancer treatment, we postulate a predictive potential of our candidate to select patients that most probably benefit

from platinum-based treatment from patients which will likely not have a benefit.

Biography

Sarah Konrad has completed her MSc in Chemistry from the Technical University of Munich (TUM) in 2014. She is now a PhD student of the German Cancer

Research Center (Deutsches Krebsforschungszentrum, DKFZ) and is conducting her PhD in the Department of Gynecological Tumor Genetics (Prof. Alfons Meindl

/ Dr. Juliane Ramser) at the Technische Universität München (TUM). Her project focuses on identifying and functionally characterizing new prognostic and therapy-

relevant biomarkers for personalized ovarian cancer therapy.

s.konrad@dkfz-heidelberg.de

Sarah Konrad et al., J Cancer Sci Ther 2017, 9:9(Suppl)

DOI: 10.4172/1948-5956-C1-112