AccScience Publishing / GPD / Volume 2 / Issue 3 / DOI: 10.36922/gpd.1138
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REVIEW

Comprehensive prognostic signatures in thyroid cancer: A summarized review for molecular signatures construction strategies

Xiaoyan Lu1,2† ,  Yuanyuan Zhang1,2† ,  Pei Yang1,2 ,  Minjun Yi1,2 ,  Luyao Wang1,2 ,  Jing Chen1,2 ,  Han Wang1,2 ,  Mengke Li1,2 ,  Yufei Jiang1,2 ,  Bingbing Guo1,2 ,  Wenyuan Lu1,2 ,  Shijia Li1,2 ,  Jiahao Chen1,2 ,  Yingying Lian1,2 ,  Xinyu Li1,2 ,  Binbin Zhao1,2 ,  Xiaoqing Wang1,2* ,  Yang An1,2*
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1 Department of Biochemistry and Molecular Biology, Cell Signal Transduction Laboratory, School of Basic Medicine, Bioinformatics Center, Henan University, Kaifeng, 475004, China
2 Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key laboratory of cell signal transduction, Kaifeng, 475004, China
GPD 2023, 2(3), 1138 https://doi.org/10.36922/gpd.1138
Submitted: 26 June 2023 | Accepted: 16 August 2023 | Published: 20 September 2023
© 2023 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
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Abstract

Thyroid carcinoma (TC) is one of the most common endocrine carcinomas with an increasing rate of morbidity in recent decades. With a high risk of relapse and metastasis occurring in TC patients, it is essential to identify potential prognostic signatures for TC patients. Here, through a comprehensive review, we summarized 45 prognostic signatures for TC patients and concluded three main strategies for signature establishment after an extensive investigation. In particular, these signatures were classified according to different construction strategies, and the verification methods were summarized. Besides, we found that 18 key genes were overrepresented in reported signatures. This review provides a comprehensive understanding, systematic summary, and integrated analysis of current prognostic signatures of TC, which may help researchers to further understand cancer progression, construct prognostic signatures of TC, and guide future clinical treatment.

Keywords
Thyroid cancer
Prognostic signatures
Survival outcome
Funding
Program for Science and Technology Development in Henan Province
Innovation Project for College Students of Henan University
Natural Science Foundation of Henan Province
Program for Science and Technology Development in Kaifeng City
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Conflict of interest
The authors declare they have no competing interests.
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