Tumor suppressor gene mutations correlate with prognosis and immunotherapy benefit in hepatocellular carcinoma

免疫疗法 肝细胞癌 免疫系统 肿瘤微环境 生物 癌症研究 免疫检查点 CD8型 转录组 生物标志物 免疫学 基因 遗传学 基因表达
作者
Xinwei Han,Long Liu,Chunguang Guo,Yu Sun,Lingfang Meng,Xueliang Zhou,Xinwei Han
出处
期刊:International Immunopharmacology [Elsevier BV]
卷期号:101: 108340-108340 被引量:24
标识
DOI:10.1016/j.intimp.2021.108340
摘要

The tumor microenvironment (TME) has profound impacts on prognosis and immunotherapy. The TME can be altered by the genomic mutations on specific tumor-suppressor genes (TSG), thus, comprehending the association between TME and TSG in hepatocellular carcinoma (HCC) is imperative.With a total of 1699 HCC patients from 6 international multicenter cohorts, we delineated the mutational landscape of TSG and summarized the proportion of TSG mutated HCC in different countries. Using the genomic and transcriptomic data, we comprehensively explored the impacts of TSG mutations on TME and immunity in HCC. A dataset of 31 HCC patients from the cBioPortal database was utilized to evaluate the predictive value of TSG subtypes for immunotherapy response.Interestingly, TSG non-mutated HCC will have more "immune-hot" tumors, and display the infiltration abundance of immune cells such as B cell, CD4+/CD8+T cell, and neutrophil. Moreover, TSG non-mutated HCC was characterized by the higher expression level of three immune checkpoints, including CD40, CD40LG, and TNFRSF4. In line with the TME characterization and immune checkpoint profiles, TSG non-mutated HCC displayed prolonged overall survival and relapse-free survival, notably, are more likely to respond to immune checkpoint inhibitors.Our findings suggested the TSG subtypes could serve as a promising biomarker for guiding surveillance protocol and immunotherapeutic decisions for patients with HCC.

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
鲤鱼盼望完成签到,获得积分10
刚刚
我爱看文献完成签到,获得积分10
刚刚
初雪发布了新的文献求助10
刚刚
乐乐应助沉默小虾米采纳,获得10
刚刚
济川佃农发布了新的文献求助30
刚刚
1秒前
科研通AI6.2应助Jane采纳,获得10
2秒前
FashionBoy应助Jane采纳,获得10
2秒前
初景应助Jane采纳,获得20
2秒前
Owen应助Jane采纳,获得10
2秒前
科研通AI6.2应助Jane采纳,获得10
2秒前
傻傻的季节完成签到,获得积分10
2秒前
3秒前
所所应助陈倩采纳,获得10
3秒前
KK完成签到,获得积分10
3秒前
koi完成签到,获得积分10
4秒前
科研通AI6.4应助skyler采纳,获得10
5秒前
赘婿应助skyler采纳,获得10
5秒前
xiao完成签到,获得积分10
5秒前
可爱的函函应助水123采纳,获得10
6秒前
zx发布了新的文献求助10
6秒前
7秒前
7秒前
云藤完成签到,获得积分10
7秒前
Xxxxxxx完成签到,获得积分10
8秒前
黎洱发布了新的文献求助10
8秒前
wangjingnnnn完成签到,获得积分10
8秒前
JKL发布了新的文献求助10
9秒前
CipherSage应助Jane采纳,获得10
9秒前
ding应助Jane采纳,获得10
9秒前
科研通AI6.2应助Jane采纳,获得10
9秒前
科研通AI6.3应助Jane采纳,获得10
9秒前
科研通AI6.3应助Jane采纳,获得10
9秒前
Ava应助Jane采纳,获得10
9秒前
科研通AI6.4应助Jane采纳,获得10
9秒前
李爱国应助Jane采纳,获得10
9秒前
9秒前
深情安青应助Jane采纳,获得20
9秒前
wind应助唠叨的寒采纳,获得10
9秒前
科研通AI6.2应助Jane采纳,获得10
9秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
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 7251549
求助须知:如何正确求助?哪些是违规求助? 8874035
关于积分的说明 18730628
捐赠科研通 6931418
什么是DOI,文献DOI怎么找? 3199473
关于科研通互助平台的介绍 2374329
邀请新用户注册赠送积分活动 2174053