MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype
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MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype. / Steurer, Stefan; Seddiqi, A. Shoaib; Singer, Julius M.; Bahar, Ahmad S.; Eichelberg, Christian; Rink, Michael; Dahlem, Roland; Huland, Hartwig; Sauter, Guido; Simon, Ronald; Minner, Sarah; Burandt, Eike; Stahl, Phillip R; Schlomm, Thorsten; Wurlitzer, Marcus; Schlüter, Hartmut.
in: ANTICANCER RES, Jahrgang 34, Nr. 5, 01.05.2014, S. 2255-61.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype
AU - Steurer, Stefan
AU - Seddiqi, A. Shoaib
AU - Singer, Julius M.
AU - Bahar, Ahmad S.
AU - Eichelberg, Christian
AU - Rink, Michael
AU - Dahlem, Roland
AU - Huland, Hartwig
AU - Sauter, Guido
AU - Simon, Ronald
AU - Minner, Sarah
AU - Burandt, Eike
AU - Stahl, Phillip R
AU - Schlomm, Thorsten
AU - Wurlitzer, Marcus
AU - Schlüter, Hartmut
PY - 2014/5/1
Y1 - 2014/5/1
N2 - 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.
AB - 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.
M3 - SCORING: Journal article
C2 - 24778028
VL - 34
SP - 2255
EP - 2261
JO - ANTICANCER RES
JF - ANTICANCER RES
SN - 0250-7005
IS - 5
ER -