Literature DB >> 29492952

Discrimination of papillary thyroid cancer from non-cancerous thyroid tissue based on lipid profiling by mass spectrometry imaging.

Anna Wojakowska, Laura M Cole, Mykola Chekan, Katarzyna Bednarczyk, Magdalena Maksymiak, Małgorzata Oczko-Wojciechowska, Barbara Jarząb, Malcolm R Clench, Joanna Polańska, Monika Pietrowska, Piotr Widlak1.   

Abstract

INTRODUCTION: The distinction of papillary thyroid carcinomas from benign thyroid lesions has important implication for clinical man-agement. Classification based on histopathological features can be supported by molecular biomarkers, including lipidomic signatures, identified with the use of high-throughput mass spectrometry techniques. Formalin fixation is a standard procedure for stabilization and preservation of tissue samples, therefore this type of samples constitute highly valuable source of clinical material for retrospective molecular studies. In this study we used mass spectrometry imaging to detect lipids discriminating papillary cancer from not cancerous thyroid directly in formalin-fixed tissue sections.
MATERIAL AND METHODS: For this purpose imaging and profiling of lipids present in non-malignant and cancerous thyroid tissue specimens were conducted. High resolution MALDI-Q-Ion Mobility-TOF-MS technique was used for lipidomic analysis of formalin fixed thyroid tissue samples. Lipids were identified by the comparison of the exact molecular masses and fragmentation pathways of the protonated molecule ions, recorded during the MS/MS experiments, with LIPID MAPS database.
RESULTS: Several phosphatidylcholines (32:0, 32:1, 34:1 and 36:3), sphingomyelins (34:1 and 36:1) and phosphatidic acids (36:2 and 36:3) were detected and their abundances were significantly higher in cancerous tissue compared to non-cancerous tissue. The same lipid species were detected in formalin-fixed as in fresh-frozen tissue, but [M + Na]+ ions were the most abundant in formalin fixed whereas [M + K]+ ions were predominant in fresh tissue.
CONCLUSIONS: Our results prove the viability of MALDI-MSI for analysis of lipid distribution directly in formalin-fixed tissue, and the potential for their use in the classification of thyroid diseases.

Entities:  

Keywords:  clinical lipidomics; formalin-fixed tissue specimens; mass spectrometry imaging; papillary thyroid carcinoma

Mesh:

Substances:

Year:  2018        PMID: 29492952     DOI: 10.5603/EP.a2018.0003

Source DB:  PubMed          Journal:  Endokrynol Pol        ISSN: 0423-104X            Impact factor:   1.582


  8 in total

Review 1.  Advances in metabolomics of thyroid cancer diagnosis and metabolic regulation.

Authors:  Raziyeh Abooshahab; Morteza Gholami; Maryam Sanoie; Fereidoun Azizi; Mehdi Hedayati
Journal:  Endocrine       Date:  2019-04-01       Impact factor: 3.633

Review 2.  Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer.

Authors:  Matthias Holzlechner; Eliseo Eugenin; Brendan Prideaux
Journal:  Cancer Rep (Hoboken)       Date:  2019-12

3.  Applications of Lipidomics in Tumor Diagnosis and Therapy.

Authors:  Yuping Wang
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 4.  The Blood Biomarkers of Thyroid Cancer.

Authors:  Weiran Wang; Jingtao Chang; Baosong Jia; Jing Liu
Journal:  Cancer Manag Res       Date:  2020-07-06       Impact factor: 3.989

5.  Molecular Heterogeneity of Papillary Thyroid Cancer: Comparison of Primary Tumors and Synchronous Metastases in Regional Lymph Nodes by Mass Spectrometry Imaging.

Authors:  Marta Gawin; Agata Kurczyk; Ewa Stobiecka; Katarzyna Frątczak; Joanna Polańska; Monika Pietrowska; Piotr Widłak
Journal:  Endocr Pathol       Date:  2019-12       Impact factor: 3.943

6.  Mass spectrometry-based lipidomics of oral squamous cell carcinoma tissue reveals aberrant cholesterol and glycerophospholipid metabolism - A Pilot study.

Authors:  Amy Dickinson; Mayank Saraswat; Sakari Joenväärä; Rahul Agarwal; Daniel Jyllikoski; Tommy Wilkman; Antti Mäkitie; Suvi Silén
Journal:  Transl Oncol       Date:  2020-06-16       Impact factor: 4.243

Review 7.  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

8.  MALDI-MSI as a Complementary Diagnostic Tool in Cytopathology: A Pilot Study for the Characterization of Thyroid Nodules.

Authors:  Giulia Capitoli; Isabella Piga; Stefania Galimberti; Davide Leni; Angela Ida Pincelli; Mattia Garancini; Francesca Clerici; Allia Mahajneh; Virginia Brambilla; Andrew Smith; Fulvio Magni; Fabio Pagni
Journal:  Cancers (Basel)       Date:  2019-09-16       Impact factor: 6.639

  8 in total

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