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MALDI imaging on large-scale tissue microarrays identifies molecular features associated with tumour phenotype in oesophageal cancer

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MALDI imaging on large-scale tissue microarrays identifies molecular features associated with tumour phenotype in oesophageal cancer. / Quaas, Alexander; Bahar, Ahmad S.; Loga, Katharina; Seddiqi, A. Shoaib; Singer, Julius M.; Omidi, Maryam; Kraus, Olga; Kwiatkowski, Marcel; Trusch, Maria; Minner, Sarah; Burandt, Eike; Stahl, Phillip; Wilczak, Waldemar; Wurlitzer, Marcus; Simon, Ronald; Sauter, Guido; Marx, Andreas; Schlüter, Hartmut.

in: HISTOPATHOLOGY, Jahrgang 63, Nr. 4, 01.10.2013, S. 455-62.

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

Harvard

Quaas, A, Bahar, AS, Loga, K, Seddiqi, AS, Singer, JM, Omidi, M, Kraus, O, Kwiatkowski, M, Trusch, M, Minner, S, Burandt, E, Stahl, P, Wilczak, W, Wurlitzer, M, Simon, R, Sauter, G, Marx, A & Schlüter, H 2013, 'MALDI imaging on large-scale tissue microarrays identifies molecular features associated with tumour phenotype in oesophageal cancer', HISTOPATHOLOGY, Jg. 63, Nr. 4, S. 455-62. https://doi.org/10.1111/his.12193

APA

Quaas, A., Bahar, A. S., Loga, K., Seddiqi, A. S., Singer, J. M., Omidi, M., Kraus, O., Kwiatkowski, M., Trusch, M., Minner, S., Burandt, E., Stahl, P., Wilczak, W., Wurlitzer, M., Simon, R., Sauter, G., Marx, A., & Schlüter, H. (2013). MALDI imaging on large-scale tissue microarrays identifies molecular features associated with tumour phenotype in oesophageal cancer. HISTOPATHOLOGY, 63(4), 455-62. https://doi.org/10.1111/his.12193

Vancouver

Quaas A, Bahar AS, Loga K, Seddiqi AS, Singer JM, Omidi M et al. MALDI imaging on large-scale tissue microarrays identifies molecular features associated with tumour phenotype in oesophageal cancer. HISTOPATHOLOGY. 2013 Okt 1;63(4):455-62. https://doi.org/10.1111/his.12193

Bibtex

@article{9b1f142ce3904476b6d24079970054b7,
title = "MALDI imaging on large-scale tissue microarrays identifies molecular features associated with tumour phenotype in oesophageal cancer",
abstract = "AIMS: Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) and tissue microarray (TMA) technologies were jointly utilized to search for molecular features associated with clinicopathological parameters in oesophageal cancer.METHODS AND RESULTS: Two TMAs from formalin-fixed tissue samples, including 300 adenocarcinomas and 177 squamous cell carcinomas with clinical follow-up data, were analysed. MALDI-MSI analysis revealed 72 distinct mass per charge (m/z) signals associated with tumour cells, 48 of which were found in squamous cell carcinomas only, and 12 of which were specific for adenocarcinomas. In adenocarcinomas, six signals were linked to early-stage (pT1-T2) tumours (two signals) and the presence (one signal) or absence (three signals) of lymph node metastasis. In squamous cell carcinomas, 24 signals were strongly linked to different phenotypic features, including tumour stage (four signals), histological grade (four signals), and lymph node metastasis (three signals).CONCLUSIONS: The high number of m/z signals that were found to be significantly linked to one or more phenotypic features of oesophageal cancer highlights the power of MALDI-MSI in the analysis of high-density TMAs. The data also emphasise substantial biological differences between adenocarcinomas and squamous cell carcinomas.",
author = "Alexander Quaas and Bahar, {Ahmad S.} and Katharina Loga and Seddiqi, {A. Shoaib} and Singer, {Julius M.} and Maryam Omidi and Olga Kraus and Marcel Kwiatkowski and Maria Trusch and Sarah Minner and Eike Burandt and Phillip Stahl and Waldemar Wilczak and Marcus Wurlitzer and Ronald Simon and Guido Sauter and Andreas Marx and Hartmut Schl{\"u}ter",
note = "{\textcopyright} 2013 John Wiley & Sons Ltd.",
year = "2013",
month = oct,
day = "1",
doi = "10.1111/his.12193",
language = "English",
volume = "63",
pages = "455--62",
journal = "HISTOPATHOLOGY",
issn = "0309-0167",
publisher = "Wiley-Blackwell",
number = "4",

}

RIS

TY - JOUR

T1 - MALDI imaging on large-scale tissue microarrays identifies molecular features associated with tumour phenotype in oesophageal cancer

AU - Quaas, Alexander

AU - Bahar, Ahmad S.

AU - Loga, Katharina

AU - Seddiqi, A. Shoaib

AU - Singer, Julius M.

AU - Omidi, Maryam

AU - Kraus, Olga

AU - Kwiatkowski, Marcel

AU - Trusch, Maria

AU - Minner, Sarah

AU - Burandt, Eike

AU - Stahl, Phillip

AU - Wilczak, Waldemar

AU - Wurlitzer, Marcus

AU - Simon, Ronald

AU - Sauter, Guido

AU - Marx, Andreas

AU - Schlüter, Hartmut

N1 - © 2013 John Wiley & Sons Ltd.

PY - 2013/10/1

Y1 - 2013/10/1

N2 - AIMS: Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) and tissue microarray (TMA) technologies were jointly utilized to search for molecular features associated with clinicopathological parameters in oesophageal cancer.METHODS AND RESULTS: Two TMAs from formalin-fixed tissue samples, including 300 adenocarcinomas and 177 squamous cell carcinomas with clinical follow-up data, were analysed. MALDI-MSI analysis revealed 72 distinct mass per charge (m/z) signals associated with tumour cells, 48 of which were found in squamous cell carcinomas only, and 12 of which were specific for adenocarcinomas. In adenocarcinomas, six signals were linked to early-stage (pT1-T2) tumours (two signals) and the presence (one signal) or absence (three signals) of lymph node metastasis. In squamous cell carcinomas, 24 signals were strongly linked to different phenotypic features, including tumour stage (four signals), histological grade (four signals), and lymph node metastasis (three signals).CONCLUSIONS: The high number of m/z signals that were found to be significantly linked to one or more phenotypic features of oesophageal cancer highlights the power of MALDI-MSI in the analysis of high-density TMAs. The data also emphasise substantial biological differences between adenocarcinomas and squamous cell carcinomas.

AB - AIMS: Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) and tissue microarray (TMA) technologies were jointly utilized to search for molecular features associated with clinicopathological parameters in oesophageal cancer.METHODS AND RESULTS: Two TMAs from formalin-fixed tissue samples, including 300 adenocarcinomas and 177 squamous cell carcinomas with clinical follow-up data, were analysed. MALDI-MSI analysis revealed 72 distinct mass per charge (m/z) signals associated with tumour cells, 48 of which were found in squamous cell carcinomas only, and 12 of which were specific for adenocarcinomas. In adenocarcinomas, six signals were linked to early-stage (pT1-T2) tumours (two signals) and the presence (one signal) or absence (three signals) of lymph node metastasis. In squamous cell carcinomas, 24 signals were strongly linked to different phenotypic features, including tumour stage (four signals), histological grade (four signals), and lymph node metastasis (three signals).CONCLUSIONS: The high number of m/z signals that were found to be significantly linked to one or more phenotypic features of oesophageal cancer highlights the power of MALDI-MSI in the analysis of high-density TMAs. The data also emphasise substantial biological differences between adenocarcinomas and squamous cell carcinomas.

U2 - 10.1111/his.12193

DO - 10.1111/his.12193

M3 - SCORING: Journal article

C2 - 23855813

VL - 63

SP - 455

EP - 462

JO - HISTOPATHOLOGY

JF - HISTOPATHOLOGY

SN - 0309-0167

IS - 4

ER -