Identification and validation of palmitoylation metabolism-related signature for liver hepatocellular carcinoma

棕榈酰化 免疫系统 肝细胞癌 生物 肿瘤微环境 癌症研究 免疫疗法 免疫学 生物化学 半胱氨酸
作者
Rui Feng,Dexin Cheng,Xiaochen Chen,Liu Yang,Hao Wu
出处
期刊:Biochemical and Biophysical Research Communications [Elsevier]
卷期号:692: 149325-149325 被引量:7
标识
DOI:10.1016/j.bbrc.2023.149325
摘要

Protein S-palmitoylation is a reversible posttranslational modification widely involved in tumor progression. Nevertheless, the function of palmitoylation metabolism in prognosis and tumor microenvironment characteristics in liver hepatocellular carcinoma (LIHC) patients is not fully understood. mRNA and clinical data of LIHC patients were obtained from the TCGA and ICGC databases. Consensus clustering was used to construct palmitoylation metabolism-related clusters. Univariate Cox and Lasso regression analyses were employed to establish a palmitoylation metabolism-related signature (PMS). ssGSEA was applied to evaluate the immune cell score in each LIHC sample. Functional enrichments were accessed through GO, KEGG and GSVA. Drug sensitivity data were downloaded from the GDSC database. Three palmitoylation metabolism-related clusters with different prognostic and immune infiltration characteristics were constructed in LIHC. We identified PMS with distinct survival, clinical, and tumor immune microenvironment characteristics. The high PMS group had a poorer prognosis, higher infiltration of immunosuppressive cells and higher expression of immune checkpoints. ZDHHC20 exerted a tumor-promoting role in LIHC and was significantly associated with immunosuppressive cells and immunosuppressive checkpoints. Additionally, in HepG-2 and SMCC-7721 cells, si-ZDHHC20 boosted apoptosis but decreased proliferation and migration when compared to si-NC. Our research revealed that PMS may accurately predict the prognosis and immune characteristics of LIHC patients. ZDHHC20 has significant clinical and immune relevance in LIHC and may contribute to the formulation of new targets for LIHC immunotherapy.
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
刚刚
淡然的安莲完成签到,获得积分10
刚刚
落后的一斩完成签到,获得积分10
4秒前
5秒前
橙子完成签到 ,获得积分10
5秒前
飞鱼完成签到,获得积分10
6秒前
7秒前
苗条伟帮完成签到,获得积分10
7秒前
小白在努力完成签到,获得积分10
8秒前
英俊的铭应助yy采纳,获得10
9秒前
hyd1640完成签到,获得积分10
9秒前
11秒前
刘萍完成签到 ,获得积分10
12秒前
万能图书馆应助一多采纳,获得30
12秒前
干嘛完成签到 ,获得积分20
13秒前
哈哈哈完成签到 ,获得积分10
13秒前
Jamie发布了新的文献求助10
14秒前
远航完成签到,获得积分10
15秒前
研太贤发布了新的文献求助10
16秒前
Wilson完成签到,获得积分10
18秒前
星辰大海应助黄颖采纳,获得10
18秒前
刘娟发布了新的文献求助10
19秒前
CCO发布了新的文献求助10
19秒前
19秒前
xc完成签到,获得积分10
19秒前
上官若男应助liu11采纳,获得10
21秒前
杏子完成签到 ,获得积分10
21秒前
22秒前
赘婿应助wannada采纳,获得10
23秒前
失路之人发布了新的文献求助30
24秒前
24秒前
26秒前
兔子不爱吃胡萝卜完成签到,获得积分10
26秒前
27秒前
28秒前
28秒前
28秒前
28秒前
mochi完成签到 ,获得积分10
29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
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6026593
求助须知:如何正确求助?哪些是违规求助? 7670703
关于积分的说明 16183288
捐赠科研通 5174539
什么是DOI,文献DOI怎么找? 2768806
邀请新用户注册赠送积分活动 1752171
关于科研通互助平台的介绍 1638066