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.
Research Areas and Centers
- Academic Focus: Center for Infection and Inflammation Research (ZIEL)