A novel metastasis-related genes-based signature for predicting progression-free interval of papillary thyroid carcinoma
10.3760/cma.j.cn.115807-20220323-00070
- VernacularTitle:甲状腺乳头状癌转移相关基因分类器预后模型的建立与验证
- Author:
Rui LIU
1
;
Zhen CAO
;
Xiaobin LI
;
Quan LIAO
;
Ziwen LIU
Author Information
1. 中国医学科学院北京协和医院基本外科，北京 100730
- Keywords:
Thyroid carcinoma;
Papillary thyroid carcinoma;
Bioinformatics;
Metastasis related genes;
Signature
- From:
Chinese Journal of Endocrine Surgery
2022;16(3):293-298
- CountryChina
- Language:Chinese
-
Abstract:
Objective:We aimed to build a novel model with metastasis-related genes (MTGs) signature for predicting progression-free interval (PFI) of papillary thyroid carcinoma (PTC) .Methods:We integrated PTC datasets with the MTGs to identify differentially expressed MTGs (DE-MTGs), then we established a novel MTGs based signature and validated it in external datasets and cell lines. Finally, we established a signature and clinical parameters-based nomogram for predicting the PFI of PTC.Results:We identified 155 DE-MTGs related to PFI in PTC. The functional enrichment analysis showed that the DE-MTGs were associated with essential oncogenic processes. Consequently, we established and optimized a novel 10-gene signature. The novel signature had a C-index of 0.76 and the relevant nomogram had a C-index of 0.80. Also, it was closely related to pivotal clinical characters of multiple datasets and invasiveness of PTC cell lines. And the signature was an independent prognostic factor in PTC. Finally, we built a nomogram including the signature and relevant clinical factors. The efficacy was satisfying in predicting PTC’s PFI.Conclusions:The MTG signature and nomogram were closely associated with PTC prognosis and may help clinicians improve the individualized prediction of PFI.
