MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype
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Abstract
AIM: To identify molecular features associated with clinico-pathological parameters in renal cell cancer.
MATERIALS AND METHODS: Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging was employed for a kidney cancer tissue microarray containing tissue samples from 789 patients for which clinical follow-up data were available.
RESULTS: A comparison of mass spectrometric signals with clinico-pathological features revealed significant differences between papillary and clear cell renal cell cancer. Within the subgroup of clear cell RCC, statistical associations with tumor stage (seven signals, p<0.01 each), Fuhrman grade (seven signals, p<0.0001 each), and presence of lymph node metastases (10 signals, p<0.01 each) were found. In addition, the presence of one signal was significantly linked to shortened patient survival (p=0.0198).
CONCLUSION: Our data pinpoint towards various molecules with potential relevance in renal cell cancer. They also demonstrate that the combination of the MALDI mass spectrometry imaging and large-scale tissue microarray platforms represents a powerful approach to identify clinically-relevant molecular cancer features.
Bibliographical data
Original language | English |
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ISSN | 0250-7005 |
Publication status | Published - 01.05.2014 |
PubMed | 24778028 |
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