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Mass Spectrometry and Mass Spectrometry Imaging-based Thyroid Cancer Analysis

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Abstract

Thyroid carcinoma is one of the most common endocrine malignant diseases worldwide. With the rapid development of medical technology, early and effective diagnostic methods could be able to improve the survival rate and quality of life of patients suffering from the disease. Considering the complexity of cancer, some specific detection method is desired for diagnosis and treatment. Mass spectrometry imaging (MSI) is an emerging technique for acquiring molecular information from biological tissues without staining and labeling, including qualitative, quantitative and spatial distribution information. Over the past several decades, MSI has been widely used for pharmacological monitoring, biomolecular imaging of cells and tissues. In this review, we introduce the tumor progression and histological characteristics of thyroid cancer, and focus mainly on the preparation of biological specimens for MSI and mass spectrometry (MS) analysis, as well as the recent progress in MS and MSI-based thyroid cancer research. This review thoroughly discusses the importance of MS and MSI for clinical diagnosis, identification and prognosis of thyroid cancer, and provides some new clues for molecular mechanisms research and tumor metastasis.

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Fig. 1

Reproduced with permission from Ref. [38, 39]. Copyright 2019, Elsevier. Reproduced with permission from Ref. [40]. Copyright 2021, Histology and Histopathology

Fig. 2

Reproduced with permission from Ref. [44]. Copyright 2019, Elsevier

Fig. 3

Reproduced with permission from Ref. [58]. Copyright 2019, Royal Society of Chemistry

Fig. 4

Reproduced with permission from Ref. [46]. Copyright 2016, American Association for Cancer Research

Fig. 5

Reproduced with permission from Ref. [61]. Copyright 2019, American Chemical Society

Fig. 6

Reproduced with permission from Ref. [65]. Copyright 2019, American Chemical Society

Fig. 7

Reproduced with permission from Ref. [47]. Copyright 2019, Korean Academy of Medical Science

Fig. 8

Reproduced with permission from Ref. [74]. Copyright 2019, Frontiers Media S.A.

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Acknowledgements

The Natural Science Foundation of Guangdong Province, China (2021A1515010171), Natural Science Foundation of Shanxi Province of China (201901D111210), 2019 Platform Base Special Project of Shanxi Province (201905D121002), Shanxi Medical University Innovation and Entrepreneurship Fund for College Students (2020181). Shenzhen Science and Technology Innovation Commission (KCXFZ202002011008124).

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  1. Hao-Jiang Wang and Bo Li contributed equally to this study.

Authors and Affiliations

  1. Department of Biochemistry and Molecular Biology, School of Basic Medical Science, Shanxi Medical University, Taiyuan, 030001, China

    Hao-Jiang Wang, Bo Li, Meng-Ting Zhang & Wei Bian

  2. College of Pharmacy, Shanxi Medical University, Taiyuan, 030001, China

    Chao-Fan Chai

  3. Department of Pathology, First Hospital of Shanxi Medical University, Taiyuan, 030001, China

    Xiao-Rong Li, Ning Li & Hong Xiao

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  1. Hao-Jiang Wang
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Wang, HJ., Li, B., Zhang, MT. et al. Mass Spectrometry and Mass Spectrometry Imaging-based Thyroid Cancer Analysis. J. Anal. Test. 6, 235–246 (2022). https://doi.org/10.1007/s41664-022-00218-y

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