Literature DB >> 29183805

Proteome profiles of different types of thyroid cancers.

Marta Gawin1, Anna Wojakowska1, Monika Pietrowska1, Łukasz Marczak2, Mykola Chekan1, Karol Jelonek1, Dariusz Lange1, Roman Jaksik3, Aleksandra Gruca4, Piotr Widłak5.   

Abstract

Proteomics profiling of tissue specimens representative for major types of thyroid cancers: papillary (classical and follicular variant), follicular, anaplastic and medullary, as well as benign follicular adenoma, was performed using shotgun LC-MS/MS approaches. A combination of Orbitrap and MALDI-TOF approach allowed to identify protein products of 3700 unique genes and revealed large differences between medullary, anaplastic and epithelium-derived differentiated cancers (papillary and follicular). Proteins characteristic for medullary and anaplastic cancers included factors associated with neuroendocrine functions and factors typically associated with advanced malignancies, respectively. Proteomes of different types of epithelium-derived differentiated cancers and follicular adenoma were compared using multi-enzyme LC-MS/MS approach, which revealed products of 4800 unique genes. A comparable overall similarity of follicular cancers to both variants of papillary cancers was found. Moreover, follicular adenoma showed higher overall similarity to follicular cancer than to either variant of papillary cancer. Proteins discriminating differentiated thyroid neoplasms included factors associated with lipid and hormone metabolism, regulation of gene expression and maintenance of DNA structure. Importantly, proteome data matched several features of transcriptome and metabolome profiles of thyroid cancers contributing to systems biology of this malignancy.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarkers; FFPE tissue; Mass spectrometry; Proteomics; Thyroid cancer

Mesh:

Substances:

Year:  2017        PMID: 29183805     DOI: 10.1016/j.mce.2017.11.020

Source DB:  PubMed          Journal:  Mol Cell Endocrinol        ISSN: 0303-7207            Impact factor:   4.102


  8 in total

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Review 2.  Novel methods in adrenal research: a metabolomics approach.

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Journal:  Histochem Cell Biol       Date:  2019-02-06       Impact factor: 4.304

3.  Proteomes of exosomes from HPV(+) or HPV(-) head and neck cancer cells: differential enrichment in immunoregulatory proteins.

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Journal:  Oncoimmunology       Date:  2019-04-15       Impact factor: 8.110

Review 4.  SCREENED: A Multistage Model of Thyroid Gland Function for Screening Endocrine-Disrupting Chemicals in a Biologically Sex-Specific Manner.

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Journal:  Int J Mol Sci       Date:  2020-05-21       Impact factor: 5.923

Review 5.  The Potential of Metabolomics in the Diagnosis of Thyroid Cancer.

Authors:  Margarida Coelho; Luis Raposo; Brian J Goodfellow; Luigi Atzori; John Jones; Bruno Manadas
Journal:  Int J Mol Sci       Date:  2020-07-24       Impact factor: 5.923

6.  Prognostic Value of Molecular Intratumor Heterogeneity in Primary Oral Cancer and Its Lymph Node Metastases Assessed by Mass Spectrometry Imaging.

Authors:  Agata Kurczyk; Marta Gawin; Piotr Paul; Ewa Chmielik; Tomasz Rutkowski; Monika Pietrowska; Piotr Widłak
Journal:  Molecules       Date:  2022-08-25       Impact factor: 4.927

7.  Comprehensive micro-scaled proteome and phosphoproteome characterization of archived retrospective cancer repositories.

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Journal:  Nat Commun       Date:  2021-06-11       Impact factor: 14.919

8.  Classification of Thyroid Tumors Based on Mass Spectrometry Imaging of Tissue Microarrays; a Single-Pixel Approach.

Authors:  Agata Kurczyk; Marta Gawin; Mykola Chekan; Agata Wilk; Krzysztof Łakomiec; Grzegorz Mrukwa; Katarzyna Frątczak; Joanna Polanska; Krzysztof Fujarewicz; Monika Pietrowska; Piotr Widlak
Journal:  Int J Mol Sci       Date:  2020-08-31       Impact factor: 5.923

  8 in total

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