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Proteomics discovery of chemoresistant biomarkers for ovarian cancer therapy

Deng, Junli, Wang, Li, Ni, Jie, Beretov, Julia, Wasinger, Valerie, Wu, Duojia, Duan, Wei, Graham, Peter and Li, Yong 2016, Proteomics discovery of chemoresistant biomarkers for ovarian cancer therapy, Expert review of proteomics, vol. 13, no. 10, pp. 905-915, doi: 10.1080/14789450.2016.1233065.

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Title Proteomics discovery of chemoresistant biomarkers for ovarian cancer therapy
Author(s) Deng, Junli
Wang, Li
Ni, Jie
Beretov, Julia
Wasinger, Valerie
Wu, Duojia
Duan, WeiORCID iD for Duan, Wei
Graham, Peter
Li, Yong
Journal name Expert review of proteomics
Volume number 13
Issue number 10
Start page 905
End page 915
Total pages 11
Publisher Taylor & Francis
Place of publication Abingdon, Eng.
Publication date 2016-09-21
ISSN 1744-8387
Keyword(s) Mass spectrometry
ovarian cancer
Summary INTRODUCTION: Chemoresistance is a major challenge to current ovarian cancer chemotherapy. It is important to identify biomarkers to distinguish chemosensitive and chemoresistant patients. AREAS COVERED: We review the medical literature, discuss MS-based technologies with respect to chemoresistant ovarian cancer and summarize the promising chemoresistant biomarkers identified. In addition, the challenges and future perspectives of biomarker discovery research are explored. With the employment of mass spectrometry-based (MS-based) proteomics, biomarker discovery of ovarian cancer has made great progress in the last decade. Many potential biomarkers were identified by MS-based proteomics technologies, some of which have been validated for further extensive studies in clinical settings. Expert commentary: The discovery of chemoresistant biomarkers is a newly developing area and may provide a clue for predicting chemotherapeutic response and discover therapeutic targets for paving the way of personalized medicine. Multiple complementary MS-based proteomics approaches hold promise for finding novel therapeutic targets in ovarian cancer treatment.
Language eng
DOI 10.1080/14789450.2016.1233065
Field of Research 111207 Molecular Targets
0601 Biochemistry And Cell Biology
Socio Economic Objective 920102 Cancer and Related Disorders
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, The Authors
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Document type: Journal Article
Collection: School of Medicine
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