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Anticancer Res. 2014 May;34(5):2255-61.

MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype.

Author information

1
Institute of Clinical Chemistry, University Medical Center Hamburg-Eppendorf, Bldg. N27, Room 00.008, Martinistr. 52, 20246 Hamburg, Germany. hschluet@uke.de.

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.

KEYWORDS:

MALDI mass spectrometry imaging; MALDI-MSI; biomarker; renal cell cancer; tissue microarray

PMID:
24778028
[Indexed for MEDLINE]
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