Literature DB >> 22430872

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

Stephan Meding1, Benjamin Balluff, Mareike Elsner, Cédrik Schöne, Sandra Rauser, Ulrich Nitsche, Matthias Maak, Alexander Schäfer, Stefanie M Hauck, Marius Ueffing, Rupert Langer, Heinz Höfler, Helmut Friess, Robert Rosenberg, Axel Walch.   

Abstract

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.

Entities:  

Keywords:  MALDI imaging; colorectal cancer; immunohistochemistry; label-free quantitative proteomics; regional lymph node metastasis; tissue proteomics

Mesh:

Substances:

Year:  2012        PMID: 22430872     DOI: 10.1002/path.4021

Source DB:  PubMed          Journal:  J Pathol        ISSN: 0022-3417            Impact factor:   7.996


  34 in total

1.  Comprehensive identification of proteins from MALDI imaging.

Authors:  Stefan K Maier; Hannes Hahne; Amin Moghaddas Gholami; Benjamin Balluff; Stephan Meding; Cédrik Schoene; Axel K Walch; Bernhard Kuster
Journal:  Mol Cell Proteomics       Date:  2013-06-19       Impact factor: 5.911

Review 2.  Biology of Nodal Spread in Colon Cancer: Insights from Molecular and Genetic Studies.

Authors:  Pridvi Kandagatla; Lilias H Maguire; Karin M Hardiman
Journal:  Eur Surg Res       Date:  2018-12-11       Impact factor: 1.745

3.  LncRNA GAS5 regulates the proliferation, migration, invasion and apoptosis of brain glioma cells through targeting GSTM3 expression. The effect of LncRNA GAS5 on glioma cells.

Authors:  Guoxiong Li; Yingqian Cai; Chuanmei Wang; Min Huang; Jiansheng Chen
Journal:  J Neurooncol       Date:  2019-06-06       Impact factor: 4.130

4.  Immune oppression array elucidating immune escape and survival mechanisms in uveal melanoma.

Authors:  Fang Hou; Qi-Ming Huang; Dan-Ning Hu; Jost B Jonas; Wen-Bin Wei
Journal:  Int J Ophthalmol       Date:  2016-12-18       Impact factor: 1.779

5.  Analysis of discordant Affymetrix probesets casts serious doubt on idea of microarray data reutilization.

Authors:  Andrey Marakhonov; Nataliya Sadovskaya; Ivan Antonov; Ancha Baranova; Mikhail Skoblov
Journal:  BMC Genomics       Date:  2014-12-19       Impact factor: 3.969

6.  S100A11 is a potential prognostic marker for clear cell renal cell carcinoma.

Authors:  Manal Gabril; Hala Girgis; Andreas Scorilas; Fabio Rotondo; Samantha Wala; Georg A Bjarnason; Qiang Ding; Andrew Evans; Eriny Tawedrous; Maria Pasic; Antonio Finelli; Sahar Al-Haddad; George M Yousef
Journal:  Clin Exp Metastasis       Date:  2016-01       Impact factor: 5.150

7.  HFIP extraction followed by 2D CTAB/SDS-PAGE separation: a new methodology for protein identification from tissue sections after MALDI mass spectrometry profiling for personalized medicine research.

Authors:  Rémi Longuespée; Christophe Tastet; Annie Desmons; Olivier Kerdraon; Robert Day; Isabelle Fournier; Michel Salzet
Journal:  OMICS       Date:  2014-05-19

8.  MicroLESA: Integrating Autofluorescence Microscopy, In Situ Micro-Digestions, and Liquid Extraction Surface Analysis for High Spatial Resolution Targeted Proteomic Studies.

Authors:  Daniel J Ryan; Nathan Heath Patterson; Nicole E Putnam; Aimee D Wilde; Andy Weiss; William J Perry; James E Cassat; Eric P Skaar; Richard M Caprioli; Jeffrey M Spraggins
Journal:  Anal Chem       Date:  2019-05-31       Impact factor: 6.986

Review 9.  Biophysical technologies for understanding circulating tumor cell biology and metastasis.

Authors:  Derrick W Su; Jorge Nieva
Journal:  Transl Lung Cancer Res       Date:  2017-08

10.  High-resolution MALDI mass spectrometric imaging of lipids in the mammalian retina.

Authors:  Alice Ly; Cédrik Schöne; Michael Becker; Janine Rattke; Stephan Meding; Michaela Aichler; Detlev Suckau; Axel Walch; Stefanie M Hauck; Marius Ueffing
Journal:  Histochem Cell Biol       Date:  2014-12-23       Impact factor: 4.304

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.