Cuproptosis‐related lncRNAs ovarian cancer: Multi‐omics analysis of molecular mechanisms and potential therapeutic targets

卵巢癌 恶性肿瘤 癌症研究 免疫系统 福克斯M1 生物 癌症 基因 生物信息学 下调和上调 免疫学 遗传学
作者
Sheng Wang,Qi Liang,Lu Xu,Jian Xiong,Kefei Gao,Ping Xu,Weiming Huang
出处
期刊:Environmental Toxicology [Wiley]
被引量:1
标识
DOI:10.1002/tox.24067
摘要

Abstract Ovarian cancer (OV) is an aggressive malignancy that poses a significant threat to the health and lives of women. Cuproptosis is a newly discovered form of programmed cell death that offers a promising therapeutic target, although its significance in cancer progression remains uncertain. In this study, we established a prognostic model of OV with six cuproptosis‐related long non‐coding RNAs (lncRNAs), including CTC.246B18.8, LINC00337, RP11.568N6.1, RP11.158I9.8, RP11.678G14.3 and CYP4F26P, based on the data of The Cancer Genome Atlas (TCGA). Lower risk scores were associated with favorable prognosis. In addition, a negative outcome was associated with high expression of CTC.246B18.8. According to the ESTIMATE algorithm, CTC.246B18.8 was negatively correlated with the ImmuneScore, and positively with immune checkpoints, immune cell infiltration, and tumor mutation burden (TMB). Moreover, gene set enrichment analysis (GSEA) revealed that pathways related to immunosuppression are likely activated in response to CTC‐246B18.8 overexpression. Furthermore, CTC‐246B18.8 expression was also associated with the sensitivity to various chemotherapy drugs. The expression patterns of the above lncRNAs were verified in ovarian tumor cell lines (SK‐OV‐3, COC1, and A2780) and normal ovarian epithelial cells (IOSE – 80). Six cuproptosis‐related genes (CRGs), including ATP7B, MTF1, SLC31A1, DLD, ATP7A and DLAT, were differentially expressed between CTC‐246B18.8 high and CTC‐246B18.8 low patient groups, and exhibited organ‐specific expression patterns pan‐cancer. Small molecule drugs that target these CRGs were predicted, and potential candidates included DIAMIDE, bathocuproine disulfonate, D‐penicillamine, etc. To summarize, our findings provide molecular insights into the role of cuproptosis in OV, and the signature lncRNAs and CRGs should be investigated further as immunotherapy biomarkers of OV.
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
1秒前
周易完成签到,获得积分10
1秒前
foreknowledge完成签到,获得积分10
2秒前
guojingjing发布了新的文献求助10
2秒前
小萌完成签到,获得积分10
3秒前
Jovid完成签到,获得积分10
3秒前
快乐指甲油完成签到 ,获得积分10
3秒前
七月完成签到 ,获得积分10
3秒前
bilibala完成签到,获得积分10
4秒前
louis完成签到,获得积分10
4秒前
Seven7完成签到,获得积分10
5秒前
6秒前
阿媛呐完成签到,获得积分10
6秒前
小章完成签到,获得积分10
7秒前
诚心谷南完成签到,获得积分10
7秒前
FashionBoy应助森淼采纳,获得10
7秒前
DDT完成签到,获得积分10
8秒前
非常完成签到,获得积分10
8秒前
mmiww完成签到,获得积分10
8秒前
ZhuJY完成签到,获得积分10
9秒前
lessormoto完成签到,获得积分20
9秒前
gms完成签到,获得积分10
9秒前
9秒前
Jj完成签到,获得积分10
11秒前
11秒前
12秒前
自然的樱桃完成签到,获得积分10
13秒前
不想看文献完成签到 ,获得积分10
14秒前
结实的元灵完成签到,获得积分10
14秒前
Fanzhijuan完成签到,获得积分10
15秒前
reflux应助科研通管家采纳,获得20
15秒前
传奇3应助科研通管家采纳,获得10
15秒前
王乐多完成签到,获得积分10
15秒前
Hello应助科研通管家采纳,获得10
15秒前
YifanWang应助科研通管家采纳,获得10
15秒前
ding应助guojingjing采纳,获得10
15秒前
相南相北完成签到 ,获得积分10
15秒前
15秒前
olivia完成签到 ,获得积分10
16秒前
nyfz2002完成签到,获得积分20
16秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Virulence Mechanisms of Plant-Pathogenic Bacteria 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3555935
求助须知:如何正确求助?哪些是违规求助? 3131542
关于积分的说明 9391519
捐赠科研通 2831325
什么是DOI,文献DOI怎么找? 1556415
邀请新用户注册赠送积分活动 726573
科研通“疑难数据库(出版商)”最低求助积分说明 715890