Research ExplorerPublicationsMALDI imaging on tissue microarrays identifies molecular fea...

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

Standard

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, Vol. 34, No. 5, 01.05.2014, p. 2255-61.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Steurer, S, Seddiqi, AS, Singer, JM, Bahar, AS, Eichelberg, C, Rink, M, Dahlem, R, Huland, H, Sauter, G, Simon, R, Minner, S, Burandt, E, Stahl, PR, Schlomm, T, Wurlitzer, M & Schlüter, H 2014, 'MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype', ANTICANCER RES, vol. 34, no. 5, pp. 2255-61.

APA

Steurer, S., Seddiqi, A. S., Singer, J. M., Bahar, A. S., Eichelberg, C., Rink, M., Dahlem, R., Huland, H., Sauter, G., Simon, R., Minner, S., Burandt, E., Stahl, P. R., Schlomm, T., Wurlitzer, M., & Schlüter, H. (2014). MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype. ANTICANCER RES, 34(5), 2255-61.

Vancouver

Steurer S, Seddiqi AS, Singer JM, Bahar AS, Eichelberg C, Rink M et al. MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype. ANTICANCER RES. 2014 May 1;34(5):2255-61.

Bibtex

@article{3b7332f6776d4aeaaa44445f85c302a6,
title = "MALDI imaging on tissue microarrays identifies molecular features associated with renal cell cancer phenotype",
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.",
author = "Stefan Steurer and Seddiqi, {A. Shoaib} and Singer, {Julius M.} and Bahar, {Ahmad S.} and Christian Eichelberg and Michael Rink and Roland Dahlem and Hartwig Huland and Guido Sauter and Ronald Simon and Sarah Minner and Eike Burandt and Stahl, {Phillip R} and Thorsten Schlomm and Marcus Wurlitzer and Hartmut Schl{\"u}ter",
year = "2014",
month = may,
day = "1",
language = "English",
volume = "34",
pages = "2255--61",
journal = "ANTICANCER RES",
issn = "0250-7005",
publisher = "International Institute of Anticancer Research",
number = "5",

}

RIS

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 -