Tissue-based proteomics reveals FXYD3, S100A11 and GSTM3 as novel markers for regional lymph node metastasis in colon cancer

Meding, Stephan; Balluff, Benjamin; Elsner, Mareike; Schöne, Cédrik; Rauser, Sandra; Nitsche, Ulrich; Maak, Matthias; Schäfer, Alexander; Hauck, Stefanie M; Ueffing, Marius; Langer, Rupert; Höfler, Heinz; Friess, Helmut; Rosenberg, Robert; Walch, Axel (2012). Tissue-based proteomics reveals FXYD3, S100A11 and GSTM3 as novel markers for regional lymph node metastasis in colon cancer. Journal of pathology, 228(4), pp. 459-470. Chichester: Wiley 10.1002/path.4021

Full text not available from this repository. (Request a copy)

Regional lymph node metastasis negatively affects prognosis in colon cancer patients. The molecular processes leading to regional lymph node metastasis are only partially understood and proteomic markers for metastasis are still scarce. Therefore, a tissue-based proteomic approach was undertaken for identifying proteins associated with regional lymph node metastasis. Two complementary tissue-based proteomic methods have been employed. MALDI imaging was used for identifying small proteins (≤25 kDa) in situ and label-free quantitative proteomics was used for identifying larger proteins. A tissue cohort comprising primary colon tumours without metastasis (UICC II, pN0, n = 21) and with lymph node metastasis (UICC III, pN2, n = 33) was analysed. Subsequent validation of identified proteins was done by immunohistochemical staining on an independent tissue cohort consisting of primary colon tumour specimens (n = 168). MALDI imaging yielded ten discriminating m/z species, and label-free quantitative proteomics 28 proteins. Two MALDI imaging-derived candidate proteins (FXYD3 and S100A11) and one from the label-free quantitative proteomics (GSTM3) were validated on the independent tissue cohort. All three markers correlated significantly with regional lymph node metastasis: FXYD3 (p = 0.0110), S100A11 (p = 0.0071), and GSTM3 (p = 0.0173). FXYD3 and S100A11 were more highly expressed in UICC II patient tumour tissues. GSTM3 was more highly expressed in UICC III patient tumour tissues. By our tissue-based proteomic approach, we could identify a large panel of proteins which are associated with regional lymph node metastasis and which have not been described so far. Here we show that novel markers for regional lymph metastasis can be identified by MALDI imaging or label-free quantitative proteomics and subsequently validated on an independent tissue cohort. Copyright © 2012 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.

Item Type:	Journal Article (Original Article)
Division/Institute:	04 Faculty of Medicine > Service Sector > Institute of Pathology
UniBE Contributor:	Langer, Rupert
ISSN:	0022-3417
Publisher:	Wiley
Language:	English
Submitter:	Factscience Import
Date Deposited:	04 Oct 2013 14:32
Last Modified:	05 Dec 2022 14:10
Publisher DOI:	10.1002/path.4021
PubMed ID:	22430872
Web of Science ID:	000313949800005
URI:	https://boris.unibe.ch/id/eprint/12522 (FactScience: 218876)