Literature DB >> 16944928

Proteins associated with disease and clinical course in pancreas cancer: a proteomic analysis of plasma in surgical patients.

Yiing Lin1, Peter S Goedegebuure, Marcus C B Tan, Julia Gross, James P Malone, Sheng Feng, Justin Larson, Chanpheng Phommaly, Kathryn Trinkaus, R Reid Townsend, David C Linehan.   

Abstract

New biomarkers for pancreas cancer are needed to improve its detection and management. We surveyed the plasma of patients undergoing surgical resection to identify proteins which change in abundance after complete resection of tumor. Using longitudinally collected specimens from surgical patients, we control for normal inter-individual variation which can confound cross-sectional analysis. Recent refinements in two-dimensional gel electrophoresis allowed us to quantify changes in low abundance plasma proteins with precision. To circumvent the traditional limitations of image analysis in comparing two-dimensional gels, we used fluorometric two-dimensional difference gel electrophoresis to resolve the proteins from pre- and post-surgical plasma from each patient on one physical gel. Furthermore, we increased the ability of our assay to detect low-abundance proteins by depleting the plasma of 12 high-abundance proteins with a multi-affinity column. Informative protein spots from 20 plasma samples across 10 patients were submitted for identification with mass-spectrometry. We identified a group of proteins which change consistently in plasma following complete resection of pancreas tumor. Furthermore, we identified proteins which correlate with post-surgical rapid recurrence of disease. With further identification and validation, the candidate biomarkers which we identify in this study may prove to be useful in the diagnosis, management and prognostication of patients with pancreas cancer.

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Year:  2006        PMID: 16944928     DOI: 10.1021/pr0600374

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  8 in total

Review 1.  Current status of molecular markers for early detection of sporadic pancreatic cancer.

Authors:  Subhankar Chakraborty; Michael J Baine; Aaron R Sasson; Surinder K Batra
Journal:  Biochim Biophys Acta       Date:  2010-10-01

2.  Modulation of plasma complement by the initial dose of epirubicin/docetaxel therapy in breast cancer and its predictive value.

Authors:  A Michlmayr; T Bachleitner-Hofmann; S Baumann; M Marchetti-Deschmann; I Rech-Weichselbraun; C Burghuber; U Pluschnig; R Bartsch; A Graf; R Greil; G Allmaier; G Steger; M Gnant; M Bergmann; R Oehler
Journal:  Br J Cancer       Date:  2010-09-28       Impact factor: 7.640

3.  Validation of reverse phase protein array for practical screening of potential biomarkers in serum and plasma: accurate detection of CA19-9 levels in pancreatic cancer.

Authors:  Tobias Grote; Doris R Siwak; Herbert A Fritsche; Corwin Joy; Gordon B Mills; Diane Simeone; David C Whitcomb; Craig D Logsdon
Journal:  Proteomics       Date:  2008-08       Impact factor: 3.984

4.  Proteomics studies of pancreatic cancer.

Authors:  Ru Chen; Sheng Pan; Ruedi Aebersold; Teresa A Brentnall
Journal:  Proteomics Clin Appl       Date:  2007       Impact factor: 3.494

5.  Predicting prostate cancer biochemical recurrence using a panel of serum proteomic biomarkers.

Authors:  C Nicole Rosenzweig; Zhen Zhang; Xiaer Sun; Lori J Sokoll; Katherine Osborne; Alan W Partin; Daniel W Chan
Journal:  J Urol       Date:  2009-01-20       Impact factor: 7.450

Review 6.  Genetic and molecular alterations in pancreatic cancer: implications for personalized medicine.

Authors:  Yantian Fang; Qizhi Yao; Zongyou Chen; Jianbin Xiang; Fisher E William; Richard A Gibbs; Changyi Chen
Journal:  Med Sci Monit       Date:  2013-10-31

Review 7.  The current state of proteomics in GI oncology.

Authors:  Ying Lin; William S Dynan; Jeffrey R Lee; Zhao-Hua Zhu; Robert R Schade
Journal:  Dig Dis Sci       Date:  2008-12-23       Impact factor: 3.199

8.  Hemopexin and Cancer.

Authors:  Veronica Fiorito; Emanuela Tolosano
Journal:  Int J Mol Sci       Date:  2022-01-17       Impact factor: 5.923

  8 in total

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