Identification of a Novel Ferroptosis-Related Gene Prognostic Signature in Bladder Cancer

列线图 接收机工作特性 比例危险模型 肿瘤科 基因签名 单变量 膀胱癌 队列 生存分析 内科学 基因 医学 Lasso(编程语言) 生物 癌症 癌症研究 基因表达 多元统计 遗传学 计算机科学 机器学习 万维网
作者
Jiale Sun,Wenchang Yue,Jiawei You,Xuedong Wei,Yuhua Huang,Zhixin Ling,Jianquan Hou
出处
期刊:Frontiers in Oncology [Frontiers Media]
卷期号:11 被引量:22
标识
DOI:10.3389/fonc.2021.730716
摘要

Ferroptosis is a newly found non-apoptotic forms of cell death that plays an important role in tumors. However, the prognostic value of ferroptosis-related genes (FRG) in bladder cancer (BLCA) have not been well examined.FRG data and clinical information were collected from The Cancer Genome Atlas (TCGA). Then, significantly different FRGs were investigated by functional enrichment analyses. The prognostic FRG signature was identified by univariate cox regression and least absolute shrinkage and selection operator (LASSO) analysis, which was validated in TCGA cohort and Gene Expression Omnibus (GEO) cohort. Subsequently, the nomogram integrating risk scores and clinical parameters were established and evaluated. Additionally, Gene Set Enrichment Analyses (GSEA) was performed to explore the potential molecular mechanisms underlying our prognostic FRG signature. Finally, the expression of three key FRGs was verified in clinical specimens.Thirty-two significantly different FRGs were identified from TCGA-BLCA cohort. Enrichment analyses showed that these genes were mainly related to the ferroptosis. Seven genes (TFRC, G6PD, SLC38A1, ZEB1, SCD, SRC, and PRDX6) were then identified to develop a prognostic signature. The Kaplan-Meier analysis confirmed the predictive value of the signature for overall survival (OS) in both TCGA and GEO cohort. A nomogram integrating age and risk scores was established and demonstrated high predictive accuracy, which was validated through calibration curves and receiver operating characteristic (ROC) curve [area under the curve (AUC) = 0.690]. GSEA showed that molecular alteration in the high- or low-risk group was closely associated with ferroptosis. Finally, experimental results confirmed the expression of SCD, SRC, and PRDX6 in BLCA.Herein, we identified a novel FRG prognostic signature that maybe involved in BLCA. It showed high values in predicting OS, and targeting these FRGs may be an alternative for BLCA treatment. Further experimental studies are warranted to uncover the mechanisms that these FRGs mediate BLCA progression.
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
shiyuhangsyh完成签到 ,获得积分10
刚刚
Liujiawen0008完成签到,获得积分10
刚刚
隐形曼青应助zhouyan采纳,获得10
1秒前
liuuuuu发布了新的文献求助30
1秒前
1秒前
1秒前
2秒前
阳光的无剑完成签到,获得积分20
2秒前
2秒前
3秒前
abcd_1067完成签到,获得积分10
3秒前
Xenia完成签到,获得积分10
3秒前
mokosk完成签到,获得积分10
3秒前
充电宝应助李聪采纳,获得10
4秒前
我没那么郝完成签到,获得积分10
5秒前
科研通AI2S应助七仔采纳,获得10
5秒前
852应助笑语盈盈采纳,获得10
6秒前
6秒前
6秒前
Hongtao完成签到 ,获得积分10
7秒前
奋斗映寒发布了新的文献求助10
7秒前
深情安青应助阳光的无剑采纳,获得30
8秒前
量子星尘发布了新的文献求助10
8秒前
xiaolang2004发布了新的文献求助10
8秒前
Yuki完成签到,获得积分10
9秒前
9秒前
10秒前
华仔应助deniroming采纳,获得10
10秒前
11秒前
科研通AI2S应助gy采纳,获得10
11秒前
12秒前
冰墩墩完成签到,获得积分10
12秒前
舒适的淇发布了新的文献求助10
12秒前
13秒前
kang发布了新的文献求助10
13秒前
13秒前
14秒前
忐忑的盼易完成签到,获得积分20
15秒前
Akim应助李婧薇采纳,获得10
16秒前
16秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
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 3958357
求助须知:如何正确求助?哪些是违规求助? 3504636
关于积分的说明 11119121
捐赠科研通 3235826
什么是DOI,文献DOI怎么找? 1788534
邀请新用户注册赠送积分活动 871232
科研通“疑难数据库(出版商)”最低求助积分说明 802600