Literature DB >> 30411850

Identification of Proteomic Markers in Head and Neck Cancer Using MALDI-MS Imaging, LC-MS/MS, and Immunohistochemistry.

Franziska Hoffmann1, Claudia Umbreit1,2, Thomas Krüger3, Daniela Pelzel1, Günther Ernst1, Olaf Kniemeyer3, Orlando Guntinas-Lichius1, Alexander Berndt2, Ferdinand von Eggeling1,4.   

Abstract

PURPOSE: The heterogeneity of squamous cell carcinoma tissue greatly complicates diagnosis and individualized therapy. Therefore, characterizing the heterogeneity of tissue spatially and identifying appropriate biomarkers is crucial. MALDI-MS imaging (MSI) is capable of analyzing spatially resolved tissue biopsies on a molecular level. EXPERIMENTAL
DESIGN: MALDI-MSI is used on snap frozen and formalin-fixed and paraffin-embedded (FFPE) tissue samples from patients with head and neck cancer (HNC) to analyze m/z values localized in tumor and nontumor regions. Peptide identification is performed using LC-MS/MS and immunohistochemistry (IHC).
RESULTS: In both FFPE and frozen tissue specimens, eight characteristic masses of the tumor's epithelial region are found. Using LC-MS/MS, the peaks are identified as vimentin, keratin type II, nucleolin, heat shock protein 90, prelamin-A/C, junction plakoglobin, and PGAM1. Lastly, vimentin, nucleolin, and PGAM1 are verified with IHC. CONCLUSIONS AND CLINICAL RELEVANCE: The combination of MALDI-MSI, LC-MS/MS, and subsequent IHC furnishes a tool suitable for characterizing the molecular heterogeneity of tissue. It is also suited for use in identifying new representative biomarkers to enable a more individualized therapy.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  FFPE; LC-MS/MS; MALDI MSI; head and neck squamous cell carcinoma; tumor marker

Mesh:

Substances:

Year:  2018        PMID: 30411850     DOI: 10.1002/prca.201700173

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  8 in total

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Journal:  Metabolites       Date:  2022-05-30

2.  Moving translational mass spectrometry imaging towards transparent and reproducible data analyses: a case study of an urothelial cancer cohort analyzed in the Galaxy framework.

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Journal:  Clin Proteomics       Date:  2022-04-19       Impact factor: 5.000

3.  Genetic predisposition and prediction protocol for epithelial neoplasms in disease-free individuals: A systematic review.

Authors:  J Gowthami; N Gururaj; V Mahalakshmi; R Sathya; T R Sabarinath; Daffney Mano Doss
Journal:  J Oral Maxillofac Pathol       Date:  2020-09-09

4.  MALDI MSI Reveals the Spatial Distribution of Protein Markers in Tracheobronchial Lymph Nodes and Lung of Pigs after Respiratory Infection.

Authors:  Tomas Do; Roman Guran; Rea Jarosova; Petra Ondrackova; Zbysek Sladek; Martin Faldyna; Vojtech Adam; Ondrej Zitka
Journal:  Molecules       Date:  2020-12-03       Impact factor: 4.411

Review 5.  Advances in MALDI Mass Spectrometry Imaging Single Cell and Tissues.

Authors:  Xiaoping Zhu; Tianyi Xu; Chen Peng; Shihua Wu
Journal:  Front Chem       Date:  2022-02-03       Impact factor: 5.221

6.  Multi-Class Cancer Subtyping in Salivary Gland Carcinomas with MALDI Imaging and Deep Learning.

Authors:  David Pertzborn; Christoph Arolt; Günther Ernst; Oliver J Lechtenfeld; Jan Kaesler; Daniela Pelzel; Orlando Guntinas-Lichius; Ferdinand von Eggeling; Franziska Hoffmann
Journal:  Cancers (Basel)       Date:  2022-09-05       Impact factor: 6.575

Review 7.  Recent advances in mass spectrometry based clinical proteomics: applications to cancer research.

Authors:  Andrew Macklin; Shahbaz Khan; Thomas Kislinger
Journal:  Clin Proteomics       Date:  2020-05-24       Impact factor: 3.988

8.  Molecular cytogenetic pilot study on pleomorphic adenomas of salivary glands.

Authors:  Jovanna Thielker; Anja Weise; Moneeb A K Othman; Isabel M Carreria; Joana B Melo; Ferdinand Von Eggeling; Orlando Guntinas-Lichius; Monika Ziegler; Thomas Liehr
Journal:  Oncol Lett       Date:  2019-12-10       Impact factor: 2.967

  8 in total

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