Literature DB >> 23376328

MALDI profiles of proteins and lipids for the rapid characterisation of upper GI-tract cancers.

Rishi Singhal1, John B Carrigan1, Wenbin Wei1, Phillipe Taniere2, Rahul K Hejmadi2, Colm Forde2, Christian Ludwig1, Josephine Bunch3, Rian L Griffiths3, Philip J Johnson1, Olga Tucker1, Derek Alderson1, Ulrich L Günther1, Douglas G Ward4.   

Abstract

AIM: To identify a reliable MALDI 'cancer fingerprint' to aid in the rapid detection and characterisation of malignant upper GI-tract disease from endoscopic biopsies.
METHODS: A total of 183 tissue biopsies were collected from 126 patients with or without oesophago-gastric malignancy and proteins and lipids separated by methanol/chloroform extraction. Peak intensities in the lipid and protein MALDI spectra from five types of samples (normal oesophageal mucosa from controls, normal oesophageal mucosa from patients with oesophageal adenocarcinoma, nondysplastic Barrett's oesophagus, oesophageal adenocarcinoma, normal gastric mucosa and gastric adenocarcinoma) were compared using non-parametric statistical tests and ROC analyses.
RESULTS: Normal oesophageal and gastric tissue generated distinct MALDI spectra characterised by higher levels of calgranulins in oesophageal tissue. MALDI spectra of polypeptides and lipids discriminated between oesophageal adenocarcinoma and Barrett's and normal oesophagus, and between gastric cancer and normal stomach. Many down-regulations were unique to each cancer type whilst some up-regulations, most notably increased HNPs 1-3, were common.
CONCLUSIONS: MALDI spectra of small tissue biopsies generated with this straightforward method can be used to rapidly detect numerous cancer-associated biochemical changes. These can be used to identify upper GI-tract cancers regardless of tumour location.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23376328     DOI: 10.1016/j.jprot.2013.01.016

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  6 in total

Review 1.  Surgery in the era of the 'omics revolution.

Authors:  A D Beggs; M P Dilworth
Journal:  Br J Surg       Date:  2015-01       Impact factor: 6.939

2.  In situ characterizing membrane lipid phenotype of breast cancer cells using mass spectrometry profiling.

Authors:  Manwen He; Shuai Guo; Zhili Li
Journal:  Sci Rep       Date:  2015-06-10       Impact factor: 4.379

Review 3.  Recent advances in mass spectrometry-based proteomics of gastric cancer.

Authors:  Changwon Kang; Yejin Lee; J Eugene Lee
Journal:  World J Gastroenterol       Date:  2016-10-07       Impact factor: 5.742

4.  Quantitative Shotgun Proteomics Unveils Candidate Novel Esophageal Adenocarcinoma (EAC)-specific Proteins.

Authors:  J Robert O'Neill; Hui-Song Pak; Erola Pairo-Castineira; Vicki Save; Simon Paterson-Brown; Rudolf Nenutil; Bořivoj Vojtěšek; Ian Overton; Alex Scherl; Ted R Hupp
Journal:  Mol Cell Proteomics       Date:  2017-03-23       Impact factor: 5.911

5.  Metabolomic Evidence for a Field Effect in Histologically Normal and Metaplastic Tissues in Patients with Esophageal Adenocarcinoma.

Authors:  Michelle A C Reed; Rishi Singhal; Christian Ludwig; John B Carrigan; Douglas G Ward; Phillipe Taniere; Derek Alderson; Ulrich L Günther
Journal:  Neoplasia       Date:  2017-01-31       Impact factor: 5.715

6.  Spatially Mapping the Baseline and Bisphenol-A Exposed Daphnia magna Lipidome Using Desorption Electrospray Ionization-Mass Spectrometry.

Authors:  Matthew J Smith; Ralf J M Weber; Mark R Viant
Journal:  Metabolites       Date:  2022-01-01
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.