已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Identification of endothelial INSR as an osteosarcoma-related biomarker and therapeutic target based on weighted gene co-expression network analysis

基因 骨肉瘤 生物 计算生物学 生存分析 转录组 基因表达 生物标志物 癌症 癌症研究 遗传学 医学 内科学
作者
Yingkai Xu,Jianfeng Jiang,Zhiyong Hu,Zhifeng Zhou,Lei Wang
出处
期刊:Discover Oncology [Springer Nature]
卷期号:16 (1): 1594-1594 被引量:1
标识
DOI:10.1007/s12672-025-03414-1
摘要

Osteosarcoma (OS) is the most common primary malignant bone tumor characterized by a high rate of metastasis. The clinical efficacy of current targeted drugs for OS is limited, highlighting the urgent need to identify novel therapeutic targets. The study aimed to identify potential drug targets for OS by combining weighted gene co-expression network analysis (WGCNA) with single-cell analysis. OS-related genes were obtained from the osteosarcoma database, and prognosis-related genes were identified using The Cancer Genome Atlas (TCGA) data. Gene expression profiles and corresponding clinical data were extracted from TCGA, Genotype-Tissue Expression (GTEx), and Gene Expression Omnibus (GEO) databases. Univariate and multivariate Cox analyses were used to screen the genes associated with OS prognosis. WGCNA was applied to detect genes linked to clinical characteristics in OS patients. Differentially expressed genes (DEGs) were analyzed using the GEO dataset. Single-cell RNA sequencing (scRNA-seq) data were employed to assess the expression pattern of the crucial genes in different types of cells in the tumor microenvironment. A total of 911 OS-related genes were retrieved from the osteosarcoma database. Prognosis analysis identified 110 prognosis-associated genes (P < 0.05). WGCNA revealed 295 genes related to OS clinical characteristics within the turquoise module. DEG analysis across GEO datasets (GSE12865, GSE16088, and GSE14359) identified 220 DEGs (|log2 (FC)| >1 and P < 0.05). Integration of these analyses identified 16 key genes in OS. Based on the expression profiles of these genes, OS patients were classified into three distinct clusters that exhibited significant differences in survival time, immune scores, and T-cell CD4 memory resting levels (P < 0.05). Insulin receptor (INSR) was identified as an independent risk factor predominantly expressed in endothelial cells. INSR expression in OS tissues is associated with poor clinical outcomes. Activation or dysregulation of endothelial INSR contributes to OS progression, suggesting that endothelial INSR may represent a novel therapeutic target for OS.
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
刚刚
蓝蓝的天空完成签到 ,获得积分10
刚刚
1秒前
blt完成签到,获得积分10
2秒前
2秒前
科研通AI6.4应助showmelove采纳,获得10
3秒前
5秒前
狂野的海发布了新的文献求助10
6秒前
6秒前
7秒前
帮我下一下完成签到,获得积分10
8秒前
风一样的风干肠完成签到 ,获得积分10
9秒前
9秒前
10秒前
Wwx完成签到 ,获得积分10
11秒前
12秒前
欣慰的代桃完成签到,获得积分10
13秒前
情愫完成签到 ,获得积分10
14秒前
15秒前
17秒前
bow完成签到 ,获得积分10
18秒前
19秒前
阔达的冷珍完成签到 ,获得积分10
20秒前
Jasper应助liuxl采纳,获得40
20秒前
null关闭了LL文献求助
20秒前
23秒前
LL完成签到 ,获得积分10
23秒前
24秒前
null关闭了YY文献求助
26秒前
游阿游发布了新的文献求助10
26秒前
残剑月完成签到,获得积分20
26秒前
单纯寄云完成签到,获得积分10
26秒前
嘟嘟杜完成签到 ,获得积分10
27秒前
28秒前
残剑月发布了新的文献求助10
28秒前
PP完成签到,获得积分10
29秒前
29秒前
30秒前
林宝完成签到 ,获得积分20
31秒前
33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
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7754250
求助须知:如何正确求助?哪些是违规求助? 9300906
关于积分的说明 20259284
捐赠科研通 7336575
什么是DOI,文献DOI怎么找? 3310701
关于科研通互助平台的介绍 2461925
邀请新用户注册赠送积分活动 2323944