Estrogen-related genes for thyroid cancer prognosis, immune infiltration, staging, and drug sensitivity

作者：Leiying Zhang, Man Zhou, Xiaoni Gao, Yang Xie, Junqi Xiao, Tao Liu, Xiangtai Zeng · 发表于：BMC Cancer · 年份：2023 · DOI：10.1186/s12885-023-11556-0 · 被引用次数：21 · 研究领域：Thyroid Cancer Diagnosis and Treatment、Ferroptosis and cancer prognosis、Thyroid Disorders and Treatments

BACKGROUND: Thyroid cancer (THCA) has become increasingly common in recent decades, and women are three to four times more likely to develop it than men. Evidence shows that estrogen has a significant impact on THCA proliferation and growth. Nevertheless, the effects of estrogen-related genes (ERGs) on THCA stages, immunological infiltration, and treatment susceptibility have not been well explored. METHODS: Clinicopathological and transcriptome data of patients with THCA from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) were cleaned before consensus clustering. Differential expression analysis was performed on the genes expressed between THCA and paraneoplastic tissues in TCGA, and Wayne analysis was performed on the ERGs obtained from the Gene Set Enrichment Analysis MsigDB and differentially expressed genes (DEGs). Univariate Cox and least absolute shrinkage and selection operator (LASSO) analyses were used to identify the set of estrogen-related differentially expressed genes (ERDEGs) associated with progression-free intervals (PFI) and to establish a prediction model. Receiver operating characteristic curves were plotted to calculate the risk scores and PFI status to validate the predictive effect of the model. Enrichment analyses and immune infiltration analyses were performed to analyze DEGs between the high- and low-risk groups, and a nomogram plot was used in the risk model to predict the PFI of THCA. RESULTS: The expression of 120 ERDEGs diff...