alexa Putative Surrogate Biomarkers to Predict Patients with Acquired Platinum Resistance in Ovarian Cancer | OMICS International | Abstract
ISSN-2155-9929

Journal of Molecular Biomarkers & Diagnosis
Open Access

Like us on:

OMICS International organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)

Research Article

Putative Surrogate Biomarkers to Predict Patients with Acquired Platinum Resistance in Ovarian Cancer

Mu Wang*, Dawn P G Brown, Jinsam You and Kerry G Bemis

Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA

*Corresponding Author:
Mu Wang
Department of Biochemistry and Molecular Biology
Indiana University School of Medicine
635 Barnhill Drive, MS 4053, Indianapolis, USA
Tel: 317- 278-0296
Fax: 317- 274-4686
E-mail: [email protected]

Received Date: May 07, 2014; Accepted Date: May 30, 2014; Published Date: June 03, 2014

Citation: Wang M, Brown DPG, You J, Bemis KG (2014) Putative Surrogate Biomarkers to Predict Patients with Acquired Platinum Resistance in Ovarian Cancer. J Mol Biomark Diagn 5:184. doi:10.4172/2155-9929.1000184

Copyright: © 2014 Wang M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Over 15,000 women die from ovarian cancer and there are approximately 23,000 new cases diagnosed each year. Platinum-based chemotherapy is still the primary treatment for ovarian cancer. Most patients with the disease are initially responsive to chemotherapeutic treatment. However, a majority of ovarian cancer patients eventually relapse and become refractory to additional treatment. This drug-resistance is a major impediment to the successful treatment of ovarian cancer. To date the mechanisms of drug-resistance remain poorly understood. Previous studies have suggested that many proteins, such as BRCA1, BRCA2, MDR1, MRP1, MDM2, hMLH1, HSP27, and HSP70, are differentially expressed in drug-resistant ovarian tumor cells by mRNA differential display analysis. However, biomarkers that can be used to differentiate chemotherapy responders from non-responders have not yet been developed. With recent developments in proteomic technologies, differential protein expression in complex biological samples can be analyzed. In this cell model based study, we applied a label-free protein quantification technology to discover potential protein biomarker candidates that can differentiate chemo-drug responders from non-responders. This experimental approach could also serve as a model tool for further clinical validation and biomarker development for other diseases.

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2018-19
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri & Aquaculture Journals

Dr. Krish

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001Extn: 9042

 
© 2008- 2018 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
Leave Your Message 24x7