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Integrated proteogenomic and metabolomic characterization of papillary thyroid cancer with different recurrence risks

Authors :
Ning Qu
Di Chen
Ben Ma
Lijun Zhang
Qiuping Wang
Yuting Wang
Hongping Wang
Zhaoxian Ni
Wen Wang
Tian Liao
Jun Xiang
Yulong Wang
Shi Jin
Dixin Xue
Weili Wu
Yu Wang
Qinghai Ji
Hui He
Hai-long Piao
Rongliang Shi
Source :
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract Although papillary thyroid cancer (PTC) has a good prognosis, its recurrence rate is high and remains a core concern in the clinic. Molecular factors contributing to different recurrence risks (RRs) remain poorly defined. Here, we perform an integrative proteogenomic and metabolomic characterization of 102 Chinese PTC patients with different RRs. Genomic profiling reveals that mutations in MUC16 and TERT promoter as well as multiple gene fusions like NCOA4-RET are enriched by the high RR. Integrative multi-omics analyses further describe the multi-dimensional characteristics of PTC, especially in metabolism pathways, and delineate dominated molecular patterns of different RRs. Moreover, the PTC patients are clustered into four subtypes (CS1: low RR and BRAF-like; CS2: high RR and metabolism type, worst prognosis; CS3: high RR and immune type, better prognosis; CS4: high RR and BRAF-like) based on the omics data. Notably, the subtypes display significant differences considering BRAF and TERT promoter mutations, metabolism and immune pathway profiles, epithelial cell compositions, and various clinical factors (especially RRs and prognosis) as well as druggable targets. This study can provide insights into the complex molecular characteristics of PTC recurrences and help promote early diagnosis and precision treatment of recurrent PTC.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.1e5b922cf46b435bb2da8b473872f075
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-024-47581-1