MALDI imaging mass spectrometry reveals COX7A2, TAGLN2 and S100-A10 as novel prognostic markers in Barrett's adenocarcinoma

Elsner, Mareike; Rauser, Sandra; Maier, Stefan; Schöne, Cédrik; Balluff, Benjamin; Meding, Stephan; Jung, Gerhard; Nipp, Martin; Sarioglu, Hakan; Maccarrone, Giuseppina; Aichler, Michaela; Feuchtinger, Annette; Langer, Rupert; Jütting, Uta; Feith, Marcus; Küster, Bernhard; Ueffing, Marius; Zitzelsberger, Horst; Höfler, Heinz and Walch, Axel (2012). MALDI imaging mass spectrometry reveals COX7A2, TAGLN2 and S100-A10 as novel prognostic markers in Barrett's adenocarcinoma. Journal of proteomics, 75(15), pp. 4693-704. Amsterdam: Elsevier 10.1016/j.jprot.2012.02.012

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To characterize proteomic changes found in Barrett's adenocarcinoma and its premalignant stages, the proteomic profiles of histologically defined precursor and invasive carcinoma lesions were analyzed by MALDI imaging MS. For a primary proteomic screening, a discovery cohort of 38 fresh frozen Barrett's adenocarcinoma patient tissue samples was used. The goal was to find proteins that might be used as markers for monitoring cancer development as well as for predicting regional lymph node metastasis and disease outcome. Using mass spectrometry for protein identification and validating the results by immunohistochemistry on an independent validation set, we could identify two of 60 differentially expressed m/z species between Barrett's adenocarcinoma and the precursor lesion: COX7A2 and S100-A10. Furthermore, among 22 m/z species that are differentially expressed in Barrett's adenocarcinoma cases with and without regional lymph node metastasis, one was identified as TAGLN2. In the validation set, we found a correlation of the expression levels of COX7A2 and TAGLN2 with a poor prognosis while S100-A10 was confirmed by multivariate analysis as a novel independent prognostic factor in Barrett's adenocarcinoma. Our results underscore the high potential of MALDI imaging for revealing new biologically significant molecular details from cancer tissues which might have potential for clinical application. This article is part of a Special Issue entitled: Translational Proteomics.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Service Sector > Institute of Pathology

UniBE Contributor:

Langer, Rupert

ISSN:

1874-3919

Publisher:

Elsevier

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:32

Last Modified:

17 Mar 2015 21:20

Publisher DOI:

10.1016/j.jprot.2012.02.012

PubMed ID:

22365974

Web of Science ID:

000307609500013

URI:

https://boris.unibe.ch/id/eprint/12524 (FactScience: 218878)

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