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1
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Deng J, Wang L, Ni J, Beretov J, Wasinger V, Wu D, Duan W, Graham P, Li Y. Proteomics discovery of chemoresistant biomarkers for ovarian cancer therapy. Expert Rev Proteomics 2016; 13:905-915. [DOI: 10.1080/14789450.2016.1233065] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Affiliation(s)
- Junli Deng
- Cancer Care Centre, St George Hospital, Kogarah, Australia
- St George and Sutherland Clinical School, University of New South Wales (UNSW), Kensington, Australia
- Department of Gynecological Oncology, Henan Cancer Hospital, Zhengzhou, China
- Zhengzhou University, Zhengzhou, China
| | - Li Wang
- Department of Gynecological Oncology, Henan Cancer Hospital, Zhengzhou, China
- Zhengzhou University, Zhengzhou, China
| | - Jie Ni
- Cancer Care Centre, St George Hospital, Kogarah, Australia
- St George and Sutherland Clinical School, University of New South Wales (UNSW), Kensington, Australia
| | - Julia Beretov
- Cancer Care Centre, St George Hospital, Kogarah, Australia
- St George and Sutherland Clinical School, University of New South Wales (UNSW), Kensington, Australia
| | - Valerie Wasinger
- Mark Wainwright Analytical Centre, Bioanalytical Mass Spectrometry Facility, University of New South Wales (UNSW), Kensington, Australia
- School of Medical Sciences, University of New South Wales (UNSW), Kensington, Australia
| | - Duojia Wu
- Cancer Care Centre, St George Hospital, Kogarah, Australia
- St George and Sutherland Clinical School, University of New South Wales (UNSW), Kensington, Australia
| | - Wei Duan
- School of Medicine, Deakin University, Waurn Ponds, Australia
| | - Peter Graham
- Cancer Care Centre, St George Hospital, Kogarah, Australia
- St George and Sutherland Clinical School, University of New South Wales (UNSW), Kensington, Australia
| | - Yong Li
- Cancer Care Centre, St George Hospital, Kogarah, Australia
- St George and Sutherland Clinical School, University of New South Wales (UNSW), Kensington, Australia
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2
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Elzek MA, Rodland KD. Proteomics of ovarian cancer: functional insights and clinical applications. Cancer Metastasis Rev 2016; 34:83-96. [PMID: 25736266 DOI: 10.1007/s10555-014-9547-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
In the past decade, there has been an increasing interest in applying proteomics to assist in understanding the pathogenesis of ovarian cancer, elucidating the mechanism of drug resistance, and in the development of biomarkers for early detection of ovarian cancer. Although ovarian cancer is a spectrum of different diseases, the strategies for diagnosis and treatment with surgery and adjuvant therapy are similar across ovarian cancer types, increasing the general applicability of discoveries made through proteomics research. While proteomic experiments face many difficulties which slow the pace of clinical applications, recent advances in proteomic technology contribute significantly to the identification of aberrant proteins and networks which can serve as targets for biomarker development and individualized therapies. This review provides a summary of the literature on proteomics' contributions to ovarian cancer research and highlights the current issues, future directions, and challenges. We propose that protein-level characterization of primary lesion in ovarian cancer can decipher the mystery of this disease, improve diagnostic tools, and lead to more effective screening programs.
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Affiliation(s)
- Mohamed A Elzek
- Egybiotech for Research and Biotechnology, Alexandria, Egypt,
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3
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Skaggs HS, Saunders BA, Miller RW, Goodrich ST, King MS, Kimbler KD, Branscum AJ, Fung ET, DePriest PD, van Nagell JR, Ueland FR, Baron AT. Ovarian Cyst Fluids Are a Cache of Tumor Biomarkers That Include Calgranulin A and Calgranulin B Isoforms. Cancer Invest 2013; 31:433-53. [DOI: 10.3109/07357907.2013.802799] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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