Disulfidptosis-related lncRNA signatures assess immune microenvironment and drug sensitivity in hepatocellular carcinoma

肝细胞癌 免疫疗法 免疫系统 医学 癌症研究 肿瘤微环境 肿瘤科 抗药性 内科学 免疫学 生物 微生物学
作者
Kequan Xu,Caixia Dai,Jialing Yang,Jia Xu,Chuqi Xia,Jinze Li,Cheng Zhang,Ning Xu,Tiangen Wu
出处
期刊:Computers in Biology and Medicine [Elsevier BV]
卷期号:169: 107930-107930 被引量:30
标识
DOI:10.1016/j.compbiomed.2024.107930
摘要

Hepatocellular carcinoma (HCC) is associated with a high mortality rate, where resistance to immunotherapy and chemotherapy plays a crucial role. A newly identified form of cell death called disulfidptosis shows promise, but its biological mechanism in HCC remains uncertain. In this study, a prognostic model was developed for Disulfidptosis-related long non-coding RNAs (DRLs) from 370 HCC patients sourced from TCGA-LIHC, utilizing five key features: AC026356.1, AC073254.1, PXN-AS1 expression, AC026412.3, and AC099066.2. High-risk HCC patients had lower survival, CD4+ T cell infiltration, and elevated immune checkpoint gene expression. Furthermore, based on the features of DRLs, HCC was classified into three subtypes. Notably, patients belonging to different subtypes demonstrated varying overall survival rates, immune cell infiltration patterns, and sensitivity to immune therapy. Moreover, the novel DRL AC026412.3 (HR = 40.207) emerged as the most significant prognostic factor, exhibiting high expression across all HCC cells. Elevated expression of AC026412.3 promoted HCC cell proliferation and induced resistance to gefitinib. In conclusion, we have discovered five DRLs and constructed a prognostic risk model. Our findings validate the correlation between DRL-related prognostic models, tumor subtypes, and the HCC immune microenvironment along with its implications for immunotherapy. Moreover, further investigation into the molecular mechanisms of key biomarkers like AC026412.3 in the future will contribute significantly to advancing our comprehension of HCC's pathogenesis and drug resistance mechanisms.
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
芋头发布了新的文献求助10
刚刚
1秒前
2秒前
博修发布了新的文献求助10
2秒前
12完成签到 ,获得积分10
2秒前
李爱国应助现代的小馒头采纳,获得10
2秒前
布拉修完成签到,获得积分10
3秒前
小鱼发布了新的文献求助10
3秒前
香蕉觅云应助yangmiemie采纳,获得10
4秒前
4秒前
tiantianwang完成签到,获得积分10
4秒前
深情安青应助胖哥采纳,获得10
4秒前
刘萍完成签到 ,获得积分10
4秒前
良橼发布了新的文献求助10
4秒前
英姑应助奇奇怪怪采纳,获得10
4秒前
仝艳婷发布了新的文献求助10
4秒前
zccc发布了新的文献求助10
5秒前
6秒前
7秒前
李健应助博修采纳,获得10
7秒前
11秒前
Sdpol发布了新的文献求助10
11秒前
11秒前
共享精神应助钦钦采纳,获得10
11秒前
12秒前
多喝热水发布了新的文献求助10
12秒前
今后应助yiyi采纳,获得10
14秒前
15秒前
小古完成签到,获得积分20
15秒前
卿亦佳人发布了新的文献求助10
15秒前
fisker发布了新的文献求助10
16秒前
17秒前
17秒前
wyh发布了新的文献求助10
18秒前
18秒前
18秒前
胖哥发布了新的文献求助10
19秒前
852应助sxd20103316采纳,获得10
20秒前
研友_VZG7GZ应助111采纳,获得10
22秒前
chenchen完成签到,获得积分20
22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
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Concepts in the Brain 500
核安全综合知识2024版 500
Photothermal Science and Techniques 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 7719345
求助须知:如何正确求助?哪些是违规求助? 9273024
关于积分的说明 20095473
捐赠科研通 7295346
什么是DOI,文献DOI怎么找? 3299824
关于科研通互助平台的介绍 2453569
邀请新用户注册赠送积分活动 2307104