Literature DB >> 21136825

Ovarian cancer proteomics: Many technologies one goal.

Kothandaraman Narasimhan1, Zhao Changqing, Mahesh Choolani.   

Abstract

The last decade has seen major changes in the technologies used to identify markers for diagnosing cancer. This review focuses on recent developments on the evolving field of biomarker discovery, and validation techniques using proteomics platforms for ovarian cancer. It is possible now to diagnose various disease conditions using microliter quantities of body fluids. Currently the major developments were made in three distinct areas: (i) protein profiling, (ii) high-throughput validation techniques, and (iii) solid and liquid phase protein microarray platforms for analyzing candidate markers across subclasses and stages of cancers. The recent addition to the long list of technologies is metabolomics using metabolite profiling and informatics-based filtering of information for biomarker discovery of ovarian cancer. Emerging technologies need to address ways to eliminate the limitations posed by the complex dynamic nature of body fluids as well as ways to enrich low-abundance tumor markers if they were to become a successful biomarker discovery tool. These new technologies hold significant promise in identifying more robust markers for ovarian cancer. Since the prevalence of this disease in the population is low, the test must have a high specificity.
Copyright © 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Year:  2008        PMID: 21136825     DOI: 10.1002/prca.200780003

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  2 in total

1.  Ovarian cyst fluid is a rich proteome resource for detection of new tumor biomarkers.

Authors:  Björg Kristjansdottir; Karolina Partheen; Eric T Fung; Janusz Marcickiewicz; Christine Yip; Mats Brännström; Karin Sundfeldt
Journal:  Clin Proteomics       Date:  2012-12-27       Impact factor: 3.988

Review 2.  Recent Advances in Identifying Biomarkers and High-Affinity Aptamers for Gynecologic Cancers Diagnosis and Therapy.

Authors:  Xiaoqun Ma; Thangavel Lakshmipriya; Subash C B Gopinath
Journal:  J Anal Methods Chem       Date:  2019-09-08       Impact factor: 2.193

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.