Open AccessStratification of follicular thyroid tumours using data‐independent acquisition proteomics and a comprehensive thyroid tissue spectral library
Author(s) -
Sun Yaoting,
Li Lu,
Zhou Yan,
Ge Weigang,
Wang He,
Wu Runxin,
Liu Wei,
Chen Hao,
Xiao Qi,
Cai Xue,
Dong Zhen,
Zhang Fangfei,
Xiao Junhong,
Wang Guangzhi,
He Yi,
Gao Jinlong,
Kon Oi Lian,
Iyer Narayanan Gopalakrishna,
Guan Haixia,
Teng Xiaodong,
Zhu Yi,
Zhao Yongfu,
Guo Tiannan
Publication year - 2022
Publication title -
molecular oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.332
H-Index - 88
eISSN - 1878-0261
pISSN - 1574-7891
DOI - 10.1002/1878-0261.13198
Subject(s) - thyroid , follicular phase , thyroid carcinoma , proteomics , proteome , adenoma , pathology , biology , population , cancer research , computational biology , medicine , bioinformatics , biochemistry , environmental health , gene
Thyroid nodules occur in about 60% of the population. A major challenge in thyroid nodule diagnosis is to distinguish between follicular adenoma (FA) and carcinoma (FTC). Here, we present a comprehensive thyroid spectral library covering five types of thyroid tissues. This library includes 121 960 peptides and 9941 protein groups. This spectral library can be used to quantify up to 7863 proteins from thyroid tissues, and can also be used to develop parallel reaction monitoring (PRM) assays for targeted protein quantification. Next, to stratify follicular thyroid tumours, we compared the proteomes of 24 FA and 22 FTC samples, and identified 204 differentially expressed proteins (DEPs). Our data suggest altered ferroptosis pathways in malignant follicular carcinoma. In all, 31 selected proteins effectively distinguished follicular tumours. Of those DEPs, nine proteins were further verified by PRM in an independent cohort of 18 FA and 19 FTC. Together, we present a comprehensive spectral library for DIA and targeted proteomics analysis of thyroid tissue specimens, and identified nine proteins that could potentially distinguish FA and FTC.