Literature DB >> 15966844

Proteomic technologies and their application to pancreatic cancer.

Dale Vimalachandran1, Eithne Costello.   

Abstract

Pancreatic ductal adenocarcinoma is a devastating disease that represents an important health problem. It spreads rapidly at a time when patients have relatively few symptoms and consequently is often only detected at an advanced stage when treatment options are limited. Rapid developments in technology and bioinformatics have recently led to a surge in proteomics-based cancer research. Comparative analysis of protein profiles from nonmalignant and malignant pancreas cells or tissue, or from different stages of pancreatic cancer, potentially offer unique insight into the biology of this tumor type. Furthermore, proteomic approaches may provide novel diagnostic or therapeutic markers for this disease. Although such analyses are still in their infancy, they show great potential in the ongoing battle against this dismal disease.

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Year:  2004        PMID: 15966844     DOI: 10.1586/14789450.1.4.493

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  11 in total

1.  Pattern-based diagnosis and screening of differentially expressed serum proteins for rheumatoid arthritis by proteomic fingerprinting.

Authors:  Li Long; Ru Li; Yongzhe Li; Chaojun Hu; Zhanguo Li
Journal:  Rheumatol Int       Date:  2010-03-25       Impact factor: 2.631

2.  Proteomic analysis of cell lines to identify the irinotecan resistance proteins.

Authors:  Xing-Chen Peng; Feng-Ming Gong; Meng Wei; Xi Chen; Ye Chen; Ke Cheng; Feng Gao; Feng Xu; Feng Bi; Ji-Yan Liu
Journal:  J Biosci       Date:  2010-12       Impact factor: 1.826

3.  Proteome analysis of human pancreatic ductal adenocarcinoma tissue using two-dimensional gel electrophoresis and tandem mass spectrometry for identification of disease-related proteins.

Authors:  Rui Tian; Li-Ming Wei; Ren-Yi Qin; Yan Li; Zhi-Yong Du; Wei Xia; Cheng-Jian Shi; Hong Jin
Journal:  Dig Dis Sci       Date:  2007-05-11       Impact factor: 3.199

4.  A proteomic investigation into adriamycin chemo-resistance of human leukemia K562 cells.

Authors:  Xingchen Peng; Fengming Gong; Gang Xie; Yuwei Zhao; Minghai Tang; Luoting Yu; Aiping Tong
Journal:  Mol Cell Biochem       Date:  2011-01-18       Impact factor: 3.396

5.  A multiplexed bead assay for profiling glycosylation patterns on serum protein biomarkers of pancreatic cancer.

Authors:  Chen Li; Eugene Zolotarevsky; Ian Thompson; Michelle A Anderson; Diane M Simeone; John M Casper; Michael C Mullenix; David M Lubman
Journal:  Electrophoresis       Date:  2011-07-06       Impact factor: 3.535

Review 6.  Proteomics analysis of bodily fluids in pancreatic cancer.

Authors:  Sheng Pan; Teresa A Brentnall; Ru Chen
Journal:  Proteomics       Date:  2015-04-27       Impact factor: 3.984

7.  Protein alterations associated with pancreatic cancer and chronic pancreatitis found in human plasma using global quantitative proteomics profiling.

Authors:  Sheng Pan; Ru Chen; David A Crispin; Damon May; Tyler Stevens; Martin W McIntosh; Mary P Bronner; Argyrios Ziogas; Hoda Anton-Culver; Teresa A Brentnall
Journal:  J Proteome Res       Date:  2011-03-28       Impact factor: 4.466

8.  Proteome analysis of human pancreatic cancer cell lines with highly liver metastatic potential by antibody microarray.

Authors:  Weidong Shi; Zhiqiang Meng; Zhen Chen; Jianmin Luo; Luming Liu
Journal:  Mol Cell Biochem       Date:  2010-10-20       Impact factor: 3.396

9.  Comparative proteomic approach identifies PKM2 and cofilin-1 as potential diagnostic, prognostic and therapeutic targets for pulmonary adenocarcinoma.

Authors:  Xing-chen Peng; Feng-ming Gong; Yu-wei Zhao; Liang-xue Zhou; Ying-wei Xie; Hong-li Liao; Hong-jun Lin; Zhi-yong Li; Ming-hai Tang; Ai-ping Tong
Journal:  PLoS One       Date:  2011-11-08       Impact factor: 3.240

10.  Proteomics portrait of archival lesions of chronic pancreatitis.

Authors:  Sheng Pan; Ru Chen; Tyler Stevens; Mary P Bronner; Damon May; Yasuko Tamura; Martin W McIntosh; Teresa A Brentnall
Journal:  PLoS One       Date:  2011-11-23       Impact factor: 3.240

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