Literature DB >> 18295612

Proteomics-driven cancer biomarker discovery: looking to the future.

Richard J Simpson1, Oliver K Bernhard, David W Greening, Robert L Moritz.   

Abstract

Availability of a suite of biomarkers for early detection, stratification into distinct subtypes, and monitoring progression or response to therapy promises significant improvements in clinical outcomes for cancer patients. However, despite the recent progress in proteomics technologies based on mass spectrometry (MS), discovery of novel clinical assessment tools has been slow. This is, partly due to the inherent difficulties in working with blood as the biospecimen for candidate discovery. A better understanding of the limitations of blood for comparative protein profiling and a better appreciation of the advantages of cancer tissue or cancer cell secretomes have the potential to greatly enhance the progress.

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Year:  2008        PMID: 18295612     DOI: 10.1016/j.cbpa.2008.02.010

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  30 in total

1.  Proteomic technologies for the discovery of type 1 diabetes biomarkers.

Authors:  Wenbo Zhi; Sharad Purohit; Colleen Carey; Meiyao Wang; Jin-Xiong She
Journal:  J Diabetes Sci Technol       Date:  2010-07-01

Review 2.  Integrating high-throughput technologies in the quest for effective biomarkers for ovarian cancer.

Authors:  Vathany Kulasingam; Maria P Pavlou; Eleftherios P Diamandis
Journal:  Nat Rev Cancer       Date:  2010-04-12       Impact factor: 60.716

Review 3.  The 'omics revolution and our understanding of sperm cell biology.

Authors:  Mark A Baker
Journal:  Asian J Androl       Date:  2010-10-25       Impact factor: 3.285

4.  Identification of isocitrate dehydrogenase 1 as a potential diagnostic and prognostic biomarker for non-small cell lung cancer by proteomic analysis.

Authors:  Fengwei Tan; Ying Jiang; Nan Sun; Zhaoli Chen; Yongzhuang Lv; Kang Shao; Ning Li; Bin Qiu; Yibo Gao; Baozhong Li; Xiaogang Tan; Fang Zhou; Zhen Wang; Dapeng Ding; Jiwen Wang; Jian Sun; Jie Hang; Susheng Shi; Xiaoli Feng; Fuchu He; Jie He
Journal:  Mol Cell Proteomics       Date:  2011-11-07       Impact factor: 5.911

5.  Detection of cancer biomarkers in serum using a hybrid mechanical and optoplasmonic nanosensor.

Authors:  P M Kosaka; V Pini; J J Ruz; R A da Silva; M U González; D Ramos; M Calleja; J Tamayo
Journal:  Nat Nanotechnol       Date:  2014-11-02       Impact factor: 39.213

Review 6.  Mass-spectrometry-based clinical proteomics--a review and prospective.

Authors:  Carol E Parker; Terry W Pearson; N Leigh Anderson; Christoph H Borchers
Journal:  Analyst       Date:  2010-06-02       Impact factor: 4.616

Review 7.  Programmable hydrogels.

Authors:  Yong Wang
Journal:  Biomaterials       Date:  2018-03-05       Impact factor: 12.479

8.  The knowledge-integrated network biomarkers discovery for major adverse cardiac events.

Authors:  Guangxu Jin; Xiaobo Zhou; Honghui Wang; Hong Zhao; Kemi Cui; Xiang-Sun Zhang; Luonan Chen; Stanley L Hazen; King Li; Stephen T C Wong
Journal:  J Proteome Res       Date:  2008-07-30       Impact factor: 4.466

9.  A single lysis solution for the analysis of tissue samples by different proteomic technologies.

Authors:  Pavel Gromov; Julio E Celis; Irina Gromova; Fritz Rank; Vera Timmermans-Wielenga; José M A Moreira
Journal:  Mol Oncol       Date:  2008-10-02       Impact factor: 6.603

10.  Mining novel biomarkers for prognosis of gastric cancer with serum proteomics.

Authors:  Fu-Ming Qiu; Jie-Kai Yu; Yi-Ding Chen; Qi-Feng Jin; Mei-Hua Sui; Jian Huang
Journal:  J Exp Clin Cancer Res       Date:  2009-09-09
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