MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays.

@article{Steurer2014MALDIII,
  title={MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays.},
  author={Stefan Steurer and Julius Magnus Singer and Michael Rink and Felix K.H. Chun and Roland Dahlem and Ronald Simon and Eike C Burandt and Phillip R Stahl and Luigi Maria Terracciano and Thorsten Schlomm and Walter Wagner and Wolfgang H{\"o}ppner and Maryam Omidi and Olga Kraus and Marcel Kwiatkowski and Ousman Doh and Margit M Fisch and Armin Soave and Guido Sauter and Marcus Wurlitzer and Hartmut Schl{\"u}ter and Sarah J P Minner},
  journal={Urologic oncology},
  year={2014},
  volume={32 8},
  pages={1225-33}
}
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… CONTINUE READING

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