LncRNA MIAT correlates with immune infiltrates and drug reactions in hepatocellular carcinoma

肝细胞癌 免疫系统 药品 医学 癌症研究 免疫学 生物 内科学 流式细胞术
作者
Lirong Peng,Yiyin Chen,Qiaoping Ou,Xiaoqian Wang,Nanhong Tang
出处
期刊:International Immunopharmacology [Elsevier BV]
卷期号:89: 107071-107071 被引量:23
标识
DOI:10.1016/j.intimp.2020.107071
摘要

Long non-coding RNA (lncRNA) is a kind of important molecules involved in the formation of immune landscape in tumor microenvironment. However, there are few studies on the relationship between lncRNA and immunomodulatory regulation of hepatocellular carcinoma (HCC). In this study, we combined with single cell transcriptome sequencing and TCGA data to analyze the relationship between lncRNA MIAT and immune cells in HCC. TIMER database analysis indicated that the expression of MIAT in HCC was negatively correlated with tumor purity, positively correlated with the number of immune cells such as B cells, T lymphocytes and macrophages, and positively correlated with the expression of immune checkpoint molecules such as PD-1, PD-L1 and CTLA4. Analysis of single cell sequencing data of immune cells in HCC showed that MIAT was mainly distributed in tumor, and enriched in FOXP3+CD4+T cells and PDCD1+CD8+, GZMK+CD8+T cells, indicating that MIAT may be involved in the immune escape process of HCC. Besides, through the construction of transcription factor (TF) regulatory network, MIAT-TF-mRNA, we found that the interaction of MIAT and TFs may affect the immune microenvironment of LIHC by regulating the expression of target genes JAK2, SLC6A6, KCND1, MEIS3 or RIN1; LncMAP and CARE analysis showed that MIAT was highly related to the sensitivity of many anticancer drugs, especially sorafenib. In addition, the effect of MIAT on PD-L1 and its relationship with sorafinib were verified in clinical specimens and cells. This study made a meaningful attempt to reveal the immune escape mechanism and to find the effectiveness of targeted drugs in patients with HCC.
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
由由完成签到,获得积分10
1秒前
xxxx发布了新的文献求助30
1秒前
1秒前
huihui完成签到,获得积分10
1秒前
丘比特应助seven采纳,获得10
1秒前
香蕉觅云应助明亮鸣凤采纳,获得10
2秒前
小猪发布了新的文献求助10
2秒前
学学术术小小白白完成签到,获得积分10
3秒前
3秒前
应俊完成签到 ,获得积分10
3秒前
3秒前
4秒前
大模型应助简单山水采纳,获得10
4秒前
勤奋天真完成签到 ,获得积分10
5秒前
6秒前
落樱幻梦染星尘完成签到,获得积分10
7秒前
容容容完成签到,获得积分10
8秒前
明亮鸣凤完成签到,获得积分10
9秒前
成就的怀蕾完成签到,获得积分20
9秒前
HHZ完成签到,获得积分10
9秒前
怡然浩然完成签到,获得积分10
9秒前
任性铅笔发布了新的文献求助10
10秒前
10秒前
11秒前
知行合一发布了新的文献求助10
11秒前
胡洋发布了新的文献求助10
11秒前
12秒前
kk完成签到,获得积分10
12秒前
简单应助jjjjj采纳,获得20
12秒前
无极微光完成签到,获得积分0
13秒前
艾琪琪完成签到,获得积分10
13秒前
科研通AI6应助大猩猩采纳,获得10
14秒前
烟花应助容容容采纳,获得10
14秒前
鼓励男孩完成签到,获得积分10
15秒前
高富博完成签到,获得积分20
15秒前
李健的小迷弟应助小冉采纳,获得80
16秒前
li-naer发布了新的文献求助10
17秒前
哭泣鼠标完成签到 ,获得积分10
17秒前
小猪完成签到,获得积分10
17秒前
18秒前
高分求助中
Comprehensive Toxicology Fourth Edition 24000
(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
LRZ Gitlab附件(3D Matching of TerraSAR-X Derived Ground Control Points to Mobile Mapping Data 附件) 2000
World Nuclear Fuel Report: Global Scenarios for Demand and Supply Availability 2025-2040 800
Handbook of Social and Emotional Learning 800
The Social Work Ethics Casebook(2nd,Frederic G. R) 600
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5129328
求助须知:如何正确求助?哪些是违规求助? 4331799
关于积分的说明 13495714
捐赠科研通 4168171
什么是DOI,文献DOI怎么找? 2284863
邀请新用户注册赠送积分活动 1285873
关于科研通互助平台的介绍 1226740