Literature DB >> 17593616

Proteomic approaches for serum biomarker discovery in cancer.

Priyanka Maurya1, Paula Meleady, Paul Dowling, Martin Clynes.   

Abstract

Monitoring the protein expression pattern in tumour cells by proteomics technologies offers opportunities to discover potentially new biomarkers for the early detection and diagnosis of cancer. Different proteomic tools such as 2D-PAGE, 2D-DIGE, SELDI-ToF-MS technology, protein arrays, ICAT, iTRAQ and MudPIT have been used for differential analysis of various biological samples, including cell lysates, cell secretome (conditioned medium), serum, plasma, tumour tissue and nipple aspirate fluid, to better understand the molecular basis of cancer pathogenesis and the validation and characterisation of disease-associated proteins. In recent years, there has been a large increase in cancer-related publications dealing with new biomarker discovery for cancer, therefore, in this review we have focused on the contribution of proteomics technologies in serum and conditioned medium-based oncology research particularly for lung, breast, melanoma and pancreatic cancer.

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Year:  2007        PMID: 17593616

Source DB:  PubMed          Journal:  Anticancer Res        ISSN: 0250-7005            Impact factor:   2.480


  43 in total

1.  Identification of potential serum biomarkers for Wilms tumor after excluding confounding effects of common systemic inflammatory factors.

Authors:  Jiaxiang Wang; Lei Wang; Da Zhang; Yuxia Fan; Zhankui Jia; Pan Qin; Jiekai Yu; Shu Zheng; Fuquan Yang
Journal:  Mol Biol Rep       Date:  2011-12-08       Impact factor: 2.316

2.  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

3.  Detection and identification of potential biomarkers of breast cancer.

Authors:  Yuxia Fan; Jiachen Wang; Yang Yang; Qiuliang Liu; Yingzhong Fan; Jiekai Yu; Shu Zheng; Mengquan Li; Jiaxiang Wang
Journal:  J Cancer Res Clin Oncol       Date:  2010-03-17       Impact factor: 4.553

Review 4.  Novel biomarkers in type 1 diabetes.

Authors:  Yulan Jin; Jin-Xiong She
Journal:  Rev Diabet Stud       Date:  2012-12-28

5.  Screening and identification of apolipoprotein A-I as a potential hepatoblastoma biomarker in children, excluding inflammatory factors.

Authors:  Wei Zhao; Juan Li; Yilin Zhang; Pengfei Gao; Junjie Zhang; Fei Guo; Jiekai Yu; Shu Zheng; Jiaxiang Wang
Journal:  Oncol Lett       Date:  2015-05-14       Impact factor: 2.967

Review 6.  Challenges for biomarker discovery in body fluids using SELDI-TOF-MS.

Authors:  Muriel De Bock; Dominique de Seny; Marie-Alice Meuwis; Jean-Paul Chapelle; Edouard Louis; Michel Malaise; Marie-Paule Merville; Marianne Fillet
Journal:  J Biomed Biotechnol       Date:  2009-12-06

7.  Up-regulated proteins in the fluid bathing the tumour cell microenvironment as potential serological markers for early detection of cancer of the breast.

Authors:  Pavel Gromov; Irina Gromova; Jakob Bunkenborg; Teresa Cabezon; José M A Moreira; Vera Timmermans-Wielenga; Peter Roepstorff; Fritz Rank; Julio E Celis
Journal:  Mol Oncol       Date:  2009-11-23       Impact factor: 6.603

8.  Interstitial fluid: the overlooked component of the tumor microenvironment?

Authors:  Helge Wiig; Olav Tenstad; Per Ole Iversen; Raghu Kalluri; Rolf Bjerkvig
Journal:  Fibrogenesis Tissue Repair       Date:  2010-07-23

9.  Patients with ovarian carcinoma excrete different altered levels of urine CD59, kininogen-1 and fragments of inter-alpha-trypsin inhibitor heavy chain H4 and albumin.

Authors:  Siti S Abdullah-Soheimi; Boon-Kiong Lim; Onn H Hashim; Adawiyah S Shuib
Journal:  Proteome Sci       Date:  2010-11-17       Impact factor: 2.480

10.  Discovery and identification of potential biomarkers of papillary thyroid carcinoma.

Authors:  Yuxia Fan; Linan Shi; Qiuliang Liu; Rui Dong; Qian Zhang; Shaobo Yang; Yingzhong Fan; Heying Yang; Peng Wu; Jiekai Yu; Shu Zheng; Fuquan Yang; Jiaxiang Wang
Journal:  Mol Cancer       Date:  2009-09-28       Impact factor: 27.401

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