Literature DB >> 21808808

Proteomic comparison of colorectal tumours and non-neoplastic mucosa from paired patient samples using iTRAQ mass spectrometry.

Lucy Jankova1, Charles Chan, Caroline L S Fung, Xiaomin Song, Sun Y Kwun, Mark J Cowley, Warren Kaplan, Owen F Dent, Elie L Bokey, Pierre H Chapuis, Mark S Baker, Graham R Robertson, Stephen J Clarke, Mark P Molloy.   

Abstract

Quantitative mass spectrometry using iTRAQ was used to identify differentially expressed proteins from 16 colorectal cancer (CRC) tumours compared to patient-paired adjacent normal mucosa. Over 1400 proteins were identified and quantitated, with 118 determined as differentially expressed by >1.3-fold, with false discovery rate < 0.05. Gene Ontology analysis indicated that proteins with increased expression levels in CRC tumours include those associated with glycolysis, calcium binding, and protease inhibition. Proteins with reduced levels in CRC tumours were associated with loss of ATP production through: (i) reduced β-oxidation of fatty acids, (ii) reduced NADH production by the tricarboxylic acid cycle and (iii) decreased oxidative phosphorylation activity. Additionally, biosyntheses of glycosaminoglycans and proteoglycans were significantly reduced in tumour samples. Validation experiments using immunoblotting and immunohistochemistry (IHC) showed strong concordance with iTRAQ data suggesting that this workflow is suitable for identifying biomarker candidates. We discuss the uses and challenges of this approach to generate biomarker leads for patient prognostication. This journal is © The Royal Society of Chemistry 2011

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Year:  2011        PMID: 21808808     DOI: 10.1039/c1mb05236e

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  13 in total

1.  Sorbitol dehydrogenase overexpression and other aspects of dysregulated protein expression in human precancerous colorectal neoplasms: a quantitative proteomics study.

Authors:  Anuli Uzozie; Paolo Nanni; Teresa Staiano; Jonas Grossmann; Simon Barkow-Oesterreicher; Jerry W Shay; Amit Tiwari; Federico Buffoli; Endre Laczko; Giancarlo Marra
Journal:  Mol Cell Proteomics       Date:  2014-02-24       Impact factor: 5.911

2.  Detecting Significant Changes in Protein Abundance.

Authors:  Kai Kammers; Robert N Cole; Calvin Tiengwe; Ingo Ruczinski
Journal:  EuPA Open Proteom       Date:  2015-06

3.  EPMA position paper in cancer: current overview and future perspectives.

Authors:  Godfrey Grech; Xianquan Zhan; Byong Chul Yoo; Rostyslav Bubnov; Suzanne Hagan; Romano Danesi; Giorgio Vittadini; Dominic M Desiderio
Journal:  EPMA J       Date:  2015-04-15       Impact factor: 6.543

4.  Linking patient outcome to high throughput protein expression data identifies novel regulators of colorectal adenocarcinoma aggressiveness.

Authors:  Christi L French; Fei Ye; Frank Revetta; Bing Zhang; Robert J Coffey; M Kay Washington; Natasha G Deane; R Daniel Beauchamp; Alissa M Weaver
Journal:  F1000Res       Date:  2015-04-24

5.  Chemical composition and the potential for proteomic transformation in cancer, hypoxia, and hyperosmotic stress.

Authors:  Jeffrey M Dick
Journal:  PeerJ       Date:  2017-06-06       Impact factor: 2.984

6.  Quantitative mass spectrometry analysis reveals a panel of nine proteins as diagnostic markers for colon adenocarcinomas.

Authors:  Apurva Atak; Samiksha Khurana; Kishore Gollapalli; Panga Jaipal Reddy; Roei Levy; Stav Ben-Salmon; Dror Hollander; Maya Donyo; Anke Heit; Agnes Hotz-Wagenblatt; Hadas Biran; Roded Sharan; Shailendra Rane; Ashutosh Shelar; Gil Ast; Sanjeeva Srivastava
Journal:  Oncotarget       Date:  2018-02-05

7.  Multi-parameter systematic strategies for predictive, preventive and personalised medicine in cancer.

Authors:  Rong Hu; Xiaowei Wang; Xianquan Zhan
Journal:  EPMA J       Date:  2013-01-22       Impact factor: 6.543

8.  Glycomics expression analysis of sulfated glycosaminoglycans of human colorectal cancer tissues and non-neoplastic mucosa by electrospray ionization mass spectrometry.

Authors:  Ana Paula Cleto Marolla; Jaques Waisberg; Gabriela Tognini Saba; Daniel Reis Waisberg; Fernando Beani Margeotto; Maria Aparecida da Silva Pinhal
Journal:  Einstein (Sao Paulo)       Date:  2015 Oct-Dec

9.  Proteomic indicators of oxidation and hydration state in colorectal cancer.

Authors:  Jeffrey M Dick
Journal:  PeerJ       Date:  2016-07-20       Impact factor: 2.984

10.  A proteomics-based approach identifies secreted protein acidic and rich in cysteine as a prognostic biomarker in malignant pleural mesothelioma.

Authors:  Steven C Kao; Michaela B Kirschner; Wendy A Cooper; Thang Tran; Sjaak Burgers; Casey Wright; Tiny Korse; Daan van den Broek; James Edelman; Michael Vallely; Brian McCaughan; Nick Pavlakis; Stephen Clarke; Mark P Molloy; Nico van Zandwijk; Glen Reid
Journal:  Br J Cancer       Date:  2016-02-18       Impact factor: 7.640

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