Open AccessIdentification of a Four-Gene Signature for Determining the Prognosis of Papillary Thyroid Carcinoma by Integrated Bioinformatics Analysis
Author(s) -
Yuting Luo,
Rong Chen,
Zhikun Ning,
Nantao Fu,
Minghao Xie
Publication year - 2022
Publication title -
international journal of general medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.722
H-Index - 36
ISSN - 1178-7074
DOI - 10.2147/ijgm.s346058
Subject(s) - nomogram , medicine , proportional hazards model , receiver operating characteristic , oncology , framingham risk score , gene signature , survival analysis , thyroid carcinoma , stage (stratigraphy) , cancer , disease , bioinformatics , gene , gene expression , thyroid , biology , genetics , paleontology
Although well-differentiated papillary thyroid carcinoma (PTC) has an indolent nature and usually an excellent prognosis, some patients experience disease recurrence or death. The aim of this study was to identify prognostic markers to stratify PTC patients.