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]
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
刚刚
threewater完成签到,获得积分10
2秒前
快乐滑板完成签到,获得积分10
2秒前
4秒前
Leo963852完成签到 ,获得积分10
5秒前
白芽发布了新的文献求助10
6秒前
Cyto完成签到,获得积分10
7秒前
7秒前
科研小能手完成签到,获得积分10
8秒前
lanzai发布了新的文献求助20
9秒前
drtianyunhong完成签到,获得积分10
10秒前
念念发布了新的文献求助10
10秒前
月亮发布了新的文献求助10
11秒前
Monica完成签到,获得积分10
12秒前
猴子酱酱发布了新的文献求助10
12秒前
我是老大应助慕冰蝶采纳,获得10
13秒前
Betty完成签到 ,获得积分10
15秒前
15秒前
tY完成签到,获得积分10
17秒前
blue发布了新的文献求助10
18秒前
wangy完成签到 ,获得积分10
19秒前
852应助科研通管家采纳,获得10
21秒前
在水一方应助科研通管家采纳,获得20
21秒前
思源应助科研通管家采纳,获得10
21秒前
小马甲应助科研通管家采纳,获得30
21秒前
科研通AI2S应助科研通管家采纳,获得10
21秒前
爆米花应助科研通管家采纳,获得10
21秒前
在水一方应助科研通管家采纳,获得10
21秒前
21秒前
Akim应助科研通管家采纳,获得10
21秒前
小尹同学应助科研通管家采纳,获得30
21秒前
爆米花应助科研通管家采纳,获得10
21秒前
21秒前
21秒前
陈补天完成签到,获得积分10
22秒前
22秒前
22秒前
23秒前
贰鸟应助阿a采纳,获得20
24秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
An Introduction to Geographical and Urban Economics: A Spiky World Book by Charles van Marrewijk, Harry Garretsen, and Steven Brakman 600
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3152043
求助须知:如何正确求助?哪些是违规求助? 2803339
关于积分的说明 7853343
捐赠科研通 2460804
什么是DOI,文献DOI怎么找? 1310058
科研通“疑难数据库(出版商)”最低求助积分说明 629097
版权声明 601765