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

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MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays. / Steurer, Stefan; Singer, Julius Magnus; Rink, Michael; Chun, Felix; Dahlem, Roland; Simon, Ronald; Burandt, Eike; Stahl, Phillip; Terracciano, Luigi; Schlomm, Thorsten; Wagner, Walter; Höppner, Wolfgang; Omidi, Maryam; Kraus, Olga; Kwiatkowski, Marcel; Doh, Ousman; Fisch, Margit; Soave, Armin; Sauter, Guido; Wurlitzer, Marcus; Schlüter, Hartmut; Minner, Sarah.

in: UROL ONCOL-SEMIN ORI, Jahrgang 32, Nr. 8, 01.11.2014, S. 1225-33.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Steurer, S, Singer, JM, Rink, M, Chun, F, Dahlem, R, Simon, R, Burandt, E, Stahl, P, Terracciano, L, Schlomm, T, Wagner, W, Höppner, W, Omidi, M, Kraus, O, Kwiatkowski, M, Doh, O, Fisch, M, Soave, A, Sauter, G, Wurlitzer, M, Schlüter, H & Minner, S 2014, 'MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays', UROL ONCOL-SEMIN ORI, Jg. 32, Nr. 8, S. 1225-33. https://doi.org/10.1016/j.urolonc.2014.06.007

APA

Steurer, S., Singer, J. M., Rink, M., Chun, F., Dahlem, R., Simon, R., Burandt, E., Stahl, P., Terracciano, L., Schlomm, T., Wagner, W., Höppner, W., Omidi, M., Kraus, O., Kwiatkowski, M., Doh, O., Fisch, M., Soave, A., Sauter, G., ... Minner, S. (2014). MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays. UROL ONCOL-SEMIN ORI, 32(8), 1225-33. https://doi.org/10.1016/j.urolonc.2014.06.007

Vancouver

Steurer S, Singer JM, Rink M, Chun F, Dahlem R, Simon R et al. MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays. UROL ONCOL-SEMIN ORI. 2014 Nov 1;32(8):1225-33. https://doi.org/10.1016/j.urolonc.2014.06.007

Bibtex

@article{4a9ba1f6cd5e4a0ebb2d3a3d76f21cfd,
title = "MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays",
abstract = "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 including paraffin-embedded tissue samples from 697 patients with clinical follow-up data to search for prognostically relevant associations.RESULTS: Analysis of our MALDI imaging data revealed 40 signals in the mass spectra (m/z signals) associated with epithelial structures. The presence of numerous m/z signals was statistically related to one or several phenotypical findings including tumor aggressiveness (stage, grade, or nodal status; 30 signals), solid (5 signals) or papillary (3 signals) growth patterns, and increased (6 signals) or decreased (12 signals) cell proliferation, as determined by Ki-67 immunohistochemistry. Two signals were linked with tumor recurrence in noninvasive (pTa category) tumors, of which one was also related to progression from pTa-category to pT1-category disease. The absence of one m/z signal was linked with decreased survival in the subset of 102 muscle-invasive cancers.CONCLUSION: Our data demonstrate the suitability of combining MSI and large-scale tissue microarrays to simultaneously identify and validate clinically useful molecular markers in urinary bladder cancer.",
author = "Stefan Steurer and Singer, {Julius Magnus} and Michael Rink and Felix Chun and Roland Dahlem and Ronald Simon and Eike Burandt and Phillip Stahl and Luigi 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 Fisch and Armin Soave and Guido Sauter and Marcus Wurlitzer and Hartmut Schl{\"u}ter and Sarah Minner",
note = "Copyright {\textcopyright} 2014 Elsevier Inc. All rights reserved.",
year = "2014",
month = nov,
day = "1",
doi = "10.1016/j.urolonc.2014.06.007",
language = "English",
volume = "32",
pages = "1225--33",
journal = "UROL ONCOL-SEMIN ORI",
issn = "1078-1439",
publisher = "Elsevier Inc.",
number = "8",

}

RIS

TY - JOUR

T1 - MALDI imaging-based identification of prognostically relevant signals in bladder cancer using large-scale tissue microarrays

AU - Steurer, Stefan

AU - Singer, Julius Magnus

AU - Rink, Michael

AU - Chun, Felix

AU - Dahlem, Roland

AU - Simon, Ronald

AU - Burandt, Eike

AU - Stahl, Phillip

AU - Terracciano, Luigi

AU - Schlomm, Thorsten

AU - Wagner, Walter

AU - Höppner, Wolfgang

AU - Omidi, Maryam

AU - Kraus, Olga

AU - Kwiatkowski, Marcel

AU - Doh, Ousman

AU - Fisch, Margit

AU - Soave, Armin

AU - Sauter, Guido

AU - Wurlitzer, Marcus

AU - Schlüter, Hartmut

AU - Minner, Sarah

N1 - Copyright © 2014 Elsevier Inc. All rights reserved.

PY - 2014/11/1

Y1 - 2014/11/1

N2 - 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 including paraffin-embedded tissue samples from 697 patients with clinical follow-up data to search for prognostically relevant associations.RESULTS: Analysis of our MALDI imaging data revealed 40 signals in the mass spectra (m/z signals) associated with epithelial structures. The presence of numerous m/z signals was statistically related to one or several phenotypical findings including tumor aggressiveness (stage, grade, or nodal status; 30 signals), solid (5 signals) or papillary (3 signals) growth patterns, and increased (6 signals) or decreased (12 signals) cell proliferation, as determined by Ki-67 immunohistochemistry. Two signals were linked with tumor recurrence in noninvasive (pTa category) tumors, of which one was also related to progression from pTa-category to pT1-category disease. The absence of one m/z signal was linked with decreased survival in the subset of 102 muscle-invasive cancers.CONCLUSION: Our data demonstrate the suitability of combining MSI and large-scale tissue microarrays to simultaneously identify and validate clinically useful molecular markers in urinary bladder cancer.

AB - 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 including paraffin-embedded tissue samples from 697 patients with clinical follow-up data to search for prognostically relevant associations.RESULTS: Analysis of our MALDI imaging data revealed 40 signals in the mass spectra (m/z signals) associated with epithelial structures. The presence of numerous m/z signals was statistically related to one or several phenotypical findings including tumor aggressiveness (stage, grade, or nodal status; 30 signals), solid (5 signals) or papillary (3 signals) growth patterns, and increased (6 signals) or decreased (12 signals) cell proliferation, as determined by Ki-67 immunohistochemistry. Two signals were linked with tumor recurrence in noninvasive (pTa category) tumors, of which one was also related to progression from pTa-category to pT1-category disease. The absence of one m/z signal was linked with decreased survival in the subset of 102 muscle-invasive cancers.CONCLUSION: Our data demonstrate the suitability of combining MSI and large-scale tissue microarrays to simultaneously identify and validate clinically useful molecular markers in urinary bladder cancer.

U2 - 10.1016/j.urolonc.2014.06.007

DO - 10.1016/j.urolonc.2014.06.007

M3 - SCORING: Journal article

C2 - 25131659

VL - 32

SP - 1225

EP - 1233

JO - UROL ONCOL-SEMIN ORI

JF - UROL ONCOL-SEMIN ORI

SN - 1078-1439

IS - 8

ER -