Literature DB >> 15704152

Classification of cancer types by measuring variants of host response proteins using SELDI serum assays.

Eric T Fung1, Tai-Tung Yip, Lee Lomas, Zheng Wang, Christine Yip, Xiao-Ying Meng, Shanhua Lin, Fujun Zhang, Zhen Zhang, Daniel W Chan, Scot R Weinberger.   

Abstract

Protein expression profiling has been increasingly used to discover and characterize biomarkers that can be used for diagnostic, prognostic or therapeutic purposes. Most proteomic studies published to date have identified relatively abundant host response proteins as candidate biomarkers, which are often dismissed because of an apparent lack of specificity. We demonstrate that 2 host response proteins previously identified as candidate markers for early stage ovarian cancer, transthyretin and inter-alpha trypsin inhibitor heavy chain 4 (ITIH4), are posttranslationally modified. These modifications include proteolytic truncation, cysteinylation and glutathionylation. Assays using Surface Enhanced Laser Desorption/Ionization Time of Flight Mass Spectrometry (SELDI-TOF-MS) may provide a means to confer specificity to these proteins because of their ability to detect and quantitate multiple posttranslationally modified forms of these proteins in a single assay. Quantitative measurements of these modifications using chromatographic and antibody-based ProteinChip array assays reveal that these posttranslational modifications occur to different extents in different cancers and that multivariate analysis permits the derivation of algorithms to improve the classification of these cancers. We have termed this process host response protein amplification cascade (HRPAC), since the process of synthesis, posttranslational modification and metabolism of host response proteins amplifies the signal of potentially low-abundant biologically active disease markers such as enzymes. (c) 2005 Wiley-Liss, Inc.

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Year:  2005        PMID: 15704152     DOI: 10.1002/ijc.20928

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  39 in total

1.  Insights into molecular medicine: development of new diagnostic and prognostic parameters.

Authors:  Gernot P Tilz; Marco Wiltgen; Ulrike Demel; Christian Faschinger; Hannes Schmidinger; Albin Hermetter
Journal:  Wien Med Wochenschr       Date:  2007

2.  ITIH4 and Gpx3 are potential biomarkers for amyotrophic lateral sclerosis.

Authors:  Hirotaka Tanaka; Masamitsu Shimazawa; Masafumi Takata; Hideo Kaneko; Kazuhiro Tsuruma; Tsunehiko Ikeda; Hitoshi Warita; Masashi Aoki; Mitsunori Yamada; Hitoshi Takahashi; Isao Hozumi; Hiroshi Minatsu; Takashi Inuzuka; Hideaki Hara
Journal:  J Neurol       Date:  2013-02-23       Impact factor: 4.849

Review 3.  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

4.  Search for breast cancer biomarkers in fractionated serum samples by protein profiling with SELDI-TOF MS.

Authors:  Annemieke W J Opstal-van Winden; Jos H Beijnen; Arnoud Loof; Waander L van Heerde; Roel Vermeulen; Petra H M Peeters; Carla H van Gils
Journal:  J Clin Lab Anal       Date:  2012-01       Impact factor: 2.352

5.  Serum proteome changes in acromegalic patients following transsphenoidal surgery: novel biomarkers of disease activity.

Authors:  Diana Cruz-Topete; Britt Christensen; Lucila Sackmann-Sala; Shigeru Okada; Jens Otto L Jorgensen; John J Kopchick
Journal:  Eur J Endocrinol       Date:  2010-11-08       Impact factor: 6.664

6.  MALDI-target integrated platform for affinity-captured protein digestion.

Authors:  Asilah Ahmad-Tajudin; Belinda Adler; Simon Ekström; György Marko-Varga; Johan Malm; Hans Lilja; Thomas Laurell
Journal:  Anal Chim Acta       Date:  2013-09-11       Impact factor: 6.558

7.  Proteomic biomarkers in combination with CA 125 for detection of epithelial ovarian cancer using prediagnostic serum samples from the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial.

Authors:  Lee E Moore; Ruth M Pfeiffer; Zhen Zhang; Karen H Lu; Eric T Fung; Robert C Bast
Journal:  Cancer       Date:  2011-06-29       Impact factor: 6.860

Review 8.  Proteomic contributions to personalized cancer care.

Authors:  John M Koomen; Eric B Haura; Gerold Bepler; Rebecca Sutphen; Elizabeth R Remily-Wood; Kaaron Benson; Mohamad Hussein; Lori A Hazlehurst; Timothy J Yeatman; Lynne T Hildreth; Thomas A Sellers; Paul B Jacobsen; David A Fenstermacher; William S Dalton
Journal:  Mol Cell Proteomics       Date:  2008-07-29       Impact factor: 5.911

9.  Specific Investigation of Sample Handling Effects on Protease Activities and Absolute Serum Concentrations of Various Putative Peptidome Cancer Biomarkers.

Authors:  Irene van den Broek; Rolf W Sparidans; Jan H M Schellens; Jos H Beijnen
Journal:  Clin Proteomics       Date:  2010-09-30       Impact factor: 3.988

10.  An introspective comparison of random forest-based classifiers for the analysis of cluster-correlated data by way of RF++.

Authors:  Yuliya V Karpievitch; Elizabeth G Hill; Anthony P Leclerc; Alan R Dabney; Jonas S Almeida
Journal:  PLoS One       Date:  2009-09-18       Impact factor: 3.240

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