Identification of iron metabolism-related genes as prognostic indicators for papillary thyroid carcinoma: a retrospective study

医学 肿瘤科 列线图 甲状腺癌 内科学 比例危险模型 甲状腺癌 甲状腺乳突癌 癌变 回顾性队列研究 转移 癌症 甲状腺 癌症研究
作者
Tiefeng Jin,Luqi Ge,Jianqiang Chen,Wei Wang,Lizhuo Zhang,Minghua Ge
出处
期刊:PeerJ [PeerJ, Inc.]
卷期号:11: e15592-e15592 被引量:1
标识
DOI:10.7717/peerj.15592
摘要

Background The thyroid cancer subtype that occurs more frequently is papillary thyroid carcinoma (PTC). Despite a good surgical outcome, treatment with traditional antitumor therapy does not offer ideal results for patients with radioiodine resistance, recurrence, and metastasis. The evidence for the connection between iron metabolism imbalance and cancer development and oncogenesis is growing. Nevertheless, the iron metabolism impact on PTC prognosis is still indefinite. Methods Herein, we acquired the medical data and gene expression of individuals with PTC from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Typically, three predictive iron metabolism-related genes (IMRGs) were examined and employed to build a risk score (RS) model via the least absolute shrinkage and selection operator (LASSO) regression, univariate Cox, and differential gene expression analyses. Then we analyzed somatic mutation and immune cell infiltration among RS groups. We also validated the prognostic value of two IMRGs (SFXN3 and TFR2) by verifying their biological function through in vitro experiments. Results Based on RS, all patients with PTC were stratified into low- and high-risk groups, where Kaplan-Meier analysis indicated that disease-free survival (DFS) in the high-risk group was much lower than in the low-risk group ( P < 0.0001). According to ROC analysis, the RS model successfully predicted the 1-, 3-, and 5-year DFS of individuals with PTC. Additionally, in the TCGA cohort, a nomogram model with RS was developed and exhibited a strong capability to anticipate PTC patients’ DFS. In the high-risk group, the enriched pathological processes and signaling mechanisms were detected utilizing the gene set enrichment analysis (GSEA). Moreover, the high-risk group had a significantly higher level of BRAF mutation frequency, tumor mutation burden, and immune cell infiltration than the low-risk group. In vitro experiments found that silencing SFXN3 or TFR2 significantly reduced cell viability. Conclusion Collectively, our predictive model depended on IMRGs in PTC, which could be potentially utilized to predict the PTC patients’ prognosis, schedule follow-up plans, and provide potential targets against PTC.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
顾难摧完成签到 ,获得积分10
刚刚
俭朴的小熊猫完成签到,获得积分10
刚刚
1秒前
1秒前
2秒前
www完成签到,获得积分10
2秒前
搜集达人应助lianqing采纳,获得10
2秒前
思源应助kiwiii采纳,获得10
2秒前
爆米花应助灌肠高手采纳,获得10
3秒前
jojo完成签到,获得积分10
3秒前
垃圾桶发布了新的文献求助10
4秒前
4秒前
Morty完成签到,获得积分10
4秒前
FashionBoy应助芝麻芝麻开门采纳,获得10
5秒前
Zxc发布了新的文献求助10
5秒前
5秒前
汤圆发布了新的文献求助10
5秒前
C女士发布了新的文献求助10
6秒前
科研通AI5应助daidaimumu采纳,获得10
7秒前
8秒前
冷艳的凉面完成签到,获得积分10
8秒前
黑色男孩发布了新的文献求助10
9秒前
林兰特发布了新的文献求助10
9秒前
11秒前
等光来发布了新的文献求助10
12秒前
Zxc完成签到,获得积分10
12秒前
Cici发布了新的文献求助10
13秒前
可爱的函函应助嘟嘟采纳,获得10
13秒前
自觉的傲薇应助云歇雨住采纳,获得10
13秒前
辛勤的孤容完成签到,获得积分10
14秒前
麻明英完成签到,获得积分10
14秒前
15秒前
fuiee完成签到,获得积分10
16秒前
晨晨尼发布了新的文献求助10
17秒前
康康完成签到,获得积分20
17秒前
默默的棒棒糖完成签到 ,获得积分10
17秒前
SilvanYang应助不想写sci的黄采纳,获得10
18秒前
云竹丶完成签到,获得积分10
19秒前
jkhjkhj完成签到,获得积分10
19秒前
疗效发布了新的文献求助10
20秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
Toward a Combinatorial Approach for the Prediction of IgG Half-Life and Clearance 500
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3970004
求助须知:如何正确求助?哪些是违规求助? 3514701
关于积分的说明 11175468
捐赠科研通 3250051
什么是DOI,文献DOI怎么找? 1795187
邀请新用户注册赠送积分活动 875630
科研通“疑难数据库(出版商)”最低求助积分说明 804925