Combining WGCNA and machine learning to construct basement membrane-related gene index helps to predict the prognosis and tumor microenvironment of HCC patients and verifies the carcinogenesis of key gene CTSA

基底膜 癌症研究 癌变 肝细胞癌 转移 免疫疗法 肿瘤科 基因 细胞外基质 医学 癌症 生物 内科学 病理 细胞生物学 遗传学
作者
Wei Sun,Jue Wang,Zhiqiang Wang,Xu Ming,Quanjun Lin,Peng Sun,Yihang Yuan
出处
期刊:Frontiers in Immunology [Frontiers Media SA]
卷期号:14 被引量:7
标识
DOI:10.3389/fimmu.2023.1185916
摘要

Hepatocellular carcinoma (HCC) is a malignant tumor with high recurrence and metastasis rates and poor prognosis. Basement membrane is a ubiquitous extracellular matrix and is a key physical factor in cancer metastasis. Therefore, basement membrane-related genes may be new targets for the diagnosis and treatment of HCC. We systematically analyzed the expression pattern and prognostic value of basement membrane-related genes in HCC using the TCGA-HCC dataset, and constructed a new BMRGI based on WGCNA and machine learning. We used the HCC single-cell RNA-sequencing data in GSE146115 to describe the single-cell map of HCC, analyzed the interaction between different cell types, and explored the expression of model genes in different cell types. BMRGI can accurately predict the prognosis of HCC patients and was validated in the ICGC cohort. In addition, we also explored the underlying molecular mechanisms and tumor immune infiltration in different BMRGI subgroups, and confirmed the differences in response to immunotherapy in different BMRGI subgroups based on the TIDE algorithm. Then, we assessed the sensitivity of HCC patients to common drugs. In conclusion, our study provides a theoretical basis for the selection of immunotherapy and sensitive drugs in HCC patients. Finally, we also considered CTSA as the most critical basement membrane-related gene affecting HCC progression. In vitro experiments showed that the proliferation, migration and invasion abilities of HCC cells were significantly impaired when CTSA was knocked down.
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
大幅提高文件上传限制,最高150M (2024-4-1)

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
jl完成签到,获得积分10
刚刚
1秒前
5秒前
光亮小蚂蚁发布了新的文献求助100
5秒前
不配.应助端庄的白开水采纳,获得10
6秒前
薰硝壤应助阔达曲奇采纳,获得10
7秒前
yin完成签到,获得积分10
7秒前
1234567xjy完成签到,获得积分20
8秒前
清脆笑柳完成签到,获得积分10
8秒前
zxh完成签到,获得积分10
8秒前
9秒前
今后应助Jiaxiao采纳,获得10
10秒前
LU完成签到 ,获得积分10
10秒前
11秒前
11秒前
小二郎应助追风的人偶采纳,获得10
11秒前
12秒前
xxxxxj完成签到 ,获得积分10
14秒前
NexusExplorer应助zmw采纳,获得10
14秒前
15秒前
草木发布了新的文献求助10
16秒前
高挑的荆发布了新的文献求助30
17秒前
南京喵科大学完成签到,获得积分10
17秒前
18秒前
21秒前
超级的鞅发布了新的文献求助10
22秒前
Accepted应助爱听歌的艳采纳,获得10
23秒前
科研通AI2S应助胡桃夹馍采纳,获得10
23秒前
103921wjk完成签到,获得积分10
24秒前
赘婿应助小蜻蜓采纳,获得10
25秒前
科研yu完成签到 ,获得积分10
25秒前
25秒前
26秒前
缥缈电脑发布了新的文献求助10
26秒前
外向蜡烛完成签到 ,获得积分10
26秒前
27秒前
hu完成签到,获得积分10
27秒前
高扬发布了新的文献求助10
29秒前
29秒前
29秒前
高分求助中
The Oxford Handbook of Social Cognition (Second Edition, 2024) 1050
The Young builders of New china : the visit of the delegation of the WFDY to the Chinese People's Republic 1000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Chen Hansheng: China’s Last Romantic Revolutionary 500
COSMETIC DERMATOLOGY & SKINCARE PRACTICE 388
Case Research: The Case Writing Process 300
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3141417
求助须知:如何正确求助?哪些是违规求助? 2792460
关于积分的说明 7802814
捐赠科研通 2448645
什么是DOI,文献DOI怎么找? 1302695
科研通“疑难数据库(出版商)”最低求助积分说明 626650
版权声明 601237