1. MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays.
- Author
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Steurer S, Singer JM, Rink M, Chun F, Dahlem R, Simon R, Burandt E, Stahl P, Terracciano L, Schlomm T, Wagner W, Höppner W, Omidi M, Kraus O, Kwiatkowski M, Doh O, Fisch M, Soave A, Sauter G, Wurlitzer M, Schlüter H, and Minner S
- Subjects
- Aged, Female, Humans, Male, Middle Aged, Prognosis, Diagnostic Imaging methods, Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization methods, Tissue Array Analysis methods, Urinary Bladder Neoplasms diagnosis, Urinary Bladder Neoplasms pathology
- Abstract
Objective: Although most patients with urinary bladder cancer present with noninvasive and low-malignant stages of the disease, about 20% eventually develop life-threatening metastatic tumors. This study was designed to evaluate the potential of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) to identify molecular markers predicting the clinical course of bladder cancer., Materials and Methods: We employed MALDI-MSI to a bladder cancer tissue microarray including paraffin-embedded tissue samples from 697 patients with clinical follow-up data to search for prognostically relevant associations., Results: Analysis of our MALDI imaging data revealed 40 signals in the mass spectra (m/z signals) associated with epithelial structures. The presence of numerous m/z signals was statistically related to one or several phenotypical findings including tumor aggressiveness (stage, grade, or nodal status; 30 signals), solid (5 signals) or papillary (3 signals) growth patterns, and increased (6 signals) or decreased (12 signals) cell proliferation, as determined by Ki-67 immunohistochemistry. Two signals were linked with tumor recurrence in noninvasive (pTa category) tumors, of which one was also related to progression from pTa-category to pT1-category disease. The absence of one m/z signal was linked with decreased survival in the subset of 102 muscle-invasive cancers., Conclusion: Our data demonstrate the suitability of combining MSI and large-scale tissue microarrays to simultaneously identify and validate clinically useful molecular markers in urinary bladder cancer., (Copyright © 2014 Elsevier Inc. All rights reserved.)
- Published
- 2014
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