학술논문
Stratification of follicular thyroid tumours using data‐independent acquisition proteomics and a comprehensive thyroid tissue spectral library
Document Type
Academic Journal
Author
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
Source
Molecular Oncology. April 2022, Vol. 16 Issue 8, p1611, 14 p.
Subject
Language
English
ISSN
1574-7891
Abstract
Abbreviations Introduction Thyroid nodules are common and, given the sensitivity of current diagnostic techniques, can be detected in approximately 60% of the general population, especially in women [1,2]. The incidence [...]
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.
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.