Systematic analysis of PANoptosis-related genes identifies XIAP as a functional oncogene in breast cancer

生物 夏普 基因 乳腺癌 癌基因 遗传学 癌症 计算生物学 癌症研究 细胞周期 程序性细胞死亡 半胱氨酸蛋白酶 细胞凋亡
作者
Qiuchen Qi,Mengqian Zhu,Peilong Li,Qi Mi,Yan Xie,Juan Li,Chuanxin Wang
出处
期刊:Gene [Elsevier]
卷期号:912: 148355-148355 被引量:8
标识
DOI:10.1016/j.gene.2024.148355
摘要

Breast cancer (BC) is the most prevalent malignant disease affecting women globally. PANoptosis, a novel form of cell death combining features of pyroptosis, apoptosis, and necroptosis, has recently gained attention. However, its precise function in BC and the predictive values of PANoptosis-related genes remain unclear.We used the expression data and clinical information of BC tissues or normal breast tissues from public databases, and then successfully developed and verified a BC PANoptosis-related risk model through a combination of univariate Cox regression, least absolute shrinkage and selection operator (LASSO) regression, and Kaplan-Meier (KM) analysis. A nomogram was constructed to estimate survival probability, and its accuracy was assessed using calibration curves.Among 37 PANoptosis-related genes, we identified 4 differentially expressed genes related to overall survival (OS). Next, a risk model incorporating these four PANoptosis-related genes was established. Patients were stratified into low/high-risk groups based on the median risk score, with the low-risk group showing better prognoses and higher levels of immune infiltration. Utilizing the risk score and clinical features, we developed a nomogram to predict 1-, 3- and 5-year survival probability. X-linked inhibitor of apoptosis protein (XIAP) emerged as a potentially risky factor with the highest hazard ratio. In vitro experiments demonstrated that XIAP inhibition enhances the antitumor effect of doxorubicin through the PANoptosis pathway.PANoptosis holds an important role in BC prognosis and treatment.
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
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
Hey发布了新的文献求助10
刚刚
Merry8558完成签到,获得积分10
1秒前
coc发布了新的文献求助10
2秒前
NexusExplorer应助Ico采纳,获得50
2秒前
量子星尘发布了新的文献求助10
3秒前
科目三应助felinus采纳,获得10
3秒前
庸俗完成签到,获得积分10
3秒前
科研通AI6应助YYYYZ采纳,获得10
4秒前
6秒前
XIAOJU_U完成签到 ,获得积分10
7秒前
热心鱼发布了新的文献求助10
7秒前
CipherSage应助Quhang采纳,获得10
7秒前
机智的天宇完成签到,获得积分10
8秒前
9秒前
沧沧完成签到,获得积分10
9秒前
9秒前
dann完成签到,获得积分10
10秒前
10秒前
10秒前
11秒前
11秒前
11秒前
12秒前
12秒前
吱唔朱完成签到,获得积分20
12秒前
12秒前
小透明发布了新的文献求助150
13秒前
14秒前
14秒前
15秒前
15秒前
15秒前
15秒前
15秒前
zbzfp发布了新的文献求助10
15秒前
哈哈哈发布了新的文献求助10
16秒前
coc完成签到,获得积分20
16秒前
兰hua发布了新的文献求助10
16秒前
谢大喵发布了新的文献求助10
16秒前
毅诚菌发布了新的文献求助10
16秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Binary Alloy Phase Diagrams, 2nd Edition 6000
Encyclopedia of Reproduction Third Edition 3000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 2000
化妆品原料学 1000
The Political Psychology of Citizens in Rising China 800
1st Edition Sports Rehabilitation and Training Multidisciplinary Perspectives By Richard Moss, Adam Gledhill 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5637553
求助须知:如何正确求助?哪些是违规求助? 4743563
关于积分的说明 14999628
捐赠科研通 4795653
什么是DOI,文献DOI怎么找? 2562146
邀请新用户注册赠送积分活动 1521595
关于科研通互助平台的介绍 1481573