Literature DB >> 22422534

Cancer proteomics.

Hwee Tong Tan1, Yie Hou Lee, Maxey C M Chung.   

Abstract

Cancer presents high mortality and morbidity globally, largely due to its complex and heterogenous nature, and lack of biomarkers for early diagnosis. A proteomics study of cancer aims to identify and characterize functional proteins that drive the transformation of malignancy, and to discover biomarkers to detect early-stage cancer, predict prognosis, determine therapy efficacy, identify novel drug targets, and ultimately develop personalized medicine. The various sources of human samples such as cell lines, tissues, and plasma/serum are probed by a plethora of proteomics tools to discover novel biomarkers and elucidate mechanisms of tumorigenesis. Innovative proteomics technologies and strategies have been designed for protein identification, quantitation, fractionation, and enrichment to delve deeper into the oncoproteome. In addition, there is the need for high-throughput methods for biomarker validation, and integration of the various platforms of oncoproteome data to fully comprehend cancer biology.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22422534     DOI: 10.1002/mas.20356

Source DB:  PubMed          Journal:  Mass Spectrom Rev        ISSN: 0277-7037            Impact factor:   10.946


  21 in total

1.  Autoimmune Response to IGF2 mRNA-Binding Protein 2 (IMP2/p62) in Breast Cancer.

Authors:  W Liu; Y Li; B Wang; L Dai; W Qian; J-Y Zhang
Journal:  Scand J Immunol       Date:  2015-06       Impact factor: 3.487

Review 2.  Mass spectrometry based biomarker discovery, verification, and validation--quality assurance and control of protein biomarker assays.

Authors:  Carol E Parker; Christoph H Borchers
Journal:  Mol Oncol       Date:  2014-03-20       Impact factor: 6.603

Review 3.  Advancement of mass spectrometry-based proteomics technologies to explore triple negative breast cancer.

Authors:  Sayem Miah; Charles A S Banks; Mark K Adams; Laurence Florens; Kiven E Lukong; Michael P Washburn
Journal:  Mol Biosyst       Date:  2016-12-20

Review 4.  Is phosphoproteomics ready for clinical research?

Authors:  Anton B Iliuk; W Andy Tao
Journal:  Clin Chim Acta       Date:  2012-11-13       Impact factor: 3.786

5.  Novel insight into MALAT-1 in cancer: Therapeutic targets and clinical applications.

Authors:  Danyang Ren; Huiying Li; Renqiu Li; Jianming Sun; Pin Guo; Huiyun Han; Yuehuang Yang; Jun Li
Journal:  Oncol Lett       Date:  2016-01-22       Impact factor: 2.967

6.  Diagnostic and prognostic significance of serum apolipoprotein C-I in triple-negative breast cancer based on mass spectrometry.

Authors:  Dongjian Song; Lifang Yue; Junjie Zhang; Shanshan Ma; Wei Zhao; Fei Guo; Yingzhong Fan; Heying Yang; Qiuliang Liu; Da Zhang; Ziqiang Xia; Pan Qin; Jia Jia; Ming Yue; Jiekai Yu; Shu Zheng; Fuquan Yang; Jiaxiang Wang
Journal:  Cancer Biol Ther       Date:  2016-06-03       Impact factor: 4.742

7.  Overexpression of HCC1/CAPERα may play a role in lung cancer carcinogenesis.

Authors:  Yurong Chai; Xinxin Liu; Liping Dai; Yang Li; Mei Liu; Jian-Ying Zhang
Journal:  Tumour Biol       Date:  2014-03-19

Review 8.  Proteome Analyses of Hepatocellular Carcinoma.

Authors:  Dominik A Megger; Wael Naboulsi; Helmut E Meyer; Barbara Sitek
Journal:  J Clin Transl Hepatol       Date:  2014-03-15

9.  Comparative analysis of the surface exposed proteome of two canine osteosarcoma cell lines and normal canine osteoblasts.

Authors:  Milan Milovancev; Ian Hilgart-Martiszus; Michael J McNamara; Cheri P Goodall; Bernard Seguin; Shay Bracha; Samanthi I Wickramasekara
Journal:  BMC Vet Res       Date:  2013-06-13       Impact factor: 2.741

10.  Reversible protein affinity-labelling using bromomaleimide-based reagents.

Authors:  Ramiz I Nathani; Vijay Chudasama; Chris P Ryan; Paul R Moody; Rachel E Morgan; Richard J Fitzmaurice; Mark E B Smith; James R Baker; Stephen Caddick
Journal:  Org Biomol Chem       Date:  2013-03-05       Impact factor: 3.876

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