A risk model developed based on tumor microenvironment predicts overall survival and associates with tumor immunity of patients with lung adenocarcinoma

生物 肿瘤微环境 免疫系统 腺癌 间质细胞 肺癌 癌症研究 肿瘤科 免疫疗法 癌症 比例危险模型 免疫学 内科学 医学 遗传学
作者
Jie Wu,Lan Li,Huibo Zhang,Yaqi Zhao,Haohan Zhang,Siyi Wu,Bin Xu
出处
期刊:Oncogene [Springer Nature]
卷期号:40 (26): 4413-4424 被引量:147
标识
DOI:10.1038/s41388-021-01853-y
摘要

Tumor microenvironment (TME) has been reported to exhibit a crucial effect in lung cancer. Therefore, this study was aimed to investigate the genes associated with TME and develop a risk score to predict the overall survival (OS) of patients with lung adenocarcinoma (LUAD) based on these genes. The immune and stromal scores were generated by the ESTIMATE algorithm for LUAD patients in The Cancer Genome Atlas (TCGA) database. Differentially expressed gene and weighted gene co-expression network analyses were used to derive immune- and stromal-related genes. The Least Absolute Shrinkage and Selection Operator (LASSO)-Cox regression was applied for further selection and the selected genes were inputted into stepwise regression to develop TME-related risk score (TMErisk) which was further validated in Gene Expression Omnibus (GEO) datasets. TMErisk-related biological phenotypes were analyzed in function enrichment, tumor immune signature, and tumor mutation signature. The patient's response to immunotherapy was inferred by the tumor immune dysfunction and exclusion (TIDE) score and immunophenoscore (IPS). According to our results, TMErisk was developed based on SERPINE1, CX3CR1, CD200R1, GBP1, IRF1, STAP1, LOX, and OR7E47P. Furthermore, high TMErisk was identified as a poor factor for OS in TCGA and GEO datasets, as well as in subgroup analysis with different gender, smoking status, age, race, anatomic site, therapies, and tumor-node-metastasis (TNM) stages. Higher TMErisk is also associated negatively with the abundance of B cells, CD4+ T cells, CD8+ T cells, neutrophils, macrophages, and other stromal or immune cells. Several genes of the human leukocyte antigen (HLA) family and immune checkpoints were less expressed in the high-TMErisk group. Mutations of 19 genes occurred more frequently in the high-TMErisk group. These mutations may be associated with TME change and indicate patients' response to immunotherapy. According to our analyses, a lower TMErisk score may indicate better response and OS outcome of 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
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
1秒前
1秒前
小二郎应助ㄣ兲天幵鈊ゞ采纳,获得10
2秒前
Christine发布了新的文献求助10
3秒前
田様应助嗯嗯采纳,获得10
3秒前
细心天德发布了新的文献求助10
4秒前
兔兜完成签到,获得积分10
4秒前
poppy完成签到,获得积分20
4秒前
violet发布了新的文献求助10
4秒前
凤凰应助摸鱼摸鱼摸摸鱼采纳,获得200
4秒前
yiyi发布了新的文献求助10
5秒前
6秒前
dameyhh完成签到 ,获得积分10
6秒前
小何同学发布了新的文献求助10
6秒前
hdykxhsa完成签到,获得积分10
7秒前
changl2023发布了新的文献求助10
7秒前
撒大大完成签到,获得积分10
7秒前
jzj完成签到 ,获得积分10
7秒前
xionghesen发布了新的文献求助20
7秒前
8秒前
tx驳回了隐形应助
8秒前
鹿子轩完成签到,获得积分10
9秒前
10秒前
走路太妖会闪耀完成签到 ,获得积分20
11秒前
12秒前
点点完成签到 ,获得积分10
12秒前
鹿子轩发布了新的文献求助10
13秒前
14秒前
共享精神应助查理采纳,获得10
14秒前
jj824发布了新的文献求助10
14秒前
15秒前
15秒前
酷波er应助changl2023采纳,获得10
15秒前
沙拉发布了新的文献求助20
16秒前
Zzz完成签到 ,获得积分10
16秒前
风趣的从安完成签到,获得积分10
17秒前
yiyi完成签到,获得积分10
17秒前
受伤千凝发布了新的文献求助10
17秒前
隐形曼青应助nn采纳,获得10
17秒前
Hello应助YUE-LIAN采纳,获得10
19秒前
高分求助中
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Teaching Social and Emotional Learning in Physical Education 900
Chinese-English Translation Lexicon Version 3.0 500
Electronic Structure Calculations and Structure-Property Relationships on Aromatic Nitro Compounds 500
マンネンタケ科植物由来メロテルペノイド類の網羅的全合成/Collective Synthesis of Meroterpenoids Derived from Ganoderma Family 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 440
Two-sample Mendelian randomization analysis reveals causal relationships between blood lipids and venous thromboembolism 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2382449
求助须知:如何正确求助?哪些是违规求助? 2089536
关于积分的说明 5250053
捐赠科研通 1816319
什么是DOI,文献DOI怎么找? 906183
版权声明 558898
科研通“疑难数据库(出版商)”最低求助积分说明 483814