Integration of multiple key molecules in lung adenocarcinoma identifies prognostic and immunotherapeutic relevant gene signatures

钥匙(锁) 癌症研究 腺癌 生物 肺癌 计算生物学 医学 基因 肿瘤科 癌症 遗传学 生态学
作者
Qiong Wu,Lei Wang,Huagen Wei,Ben Li,Jiaming Yang,Zilin Wang,Jianfeng Xu,You Zhou,Bo Zhang
出处
期刊:International Immunopharmacology [Elsevier BV]
卷期号:83: 106477-106477 被引量:33
标识
DOI:10.1016/j.intimp.2020.106477
摘要

Although multiple key molecules in lung adenocarcinoma (LUAD) have been identified in recent years, the overall tumor microenvironment (TME) immune cell infiltration characterizations mediated by multiple key molecules remain little known. This study aimed to integrate the roles of multiple key molecules to evaluate patient prognosis and TME cell infiltration characterization as well as responses to immunotherapy. Using combined LUAD cancer cohorts with 228 normal samples and 913 tumor samples, we comprehensively dissected the differences of genomic and TME cell infiltration landscapes between normal lung tissues and tumor tissues. The single-sample gene-set enrichment analysis (ssGSEA) was used to quantify the relative abundance of 24 cell infiltration. The riskScore signature was constructed using a least absolute shrinkage and selection operator (LASSO) Cox regression mode. Seven novel key molecules with significantly up-regulated expression in LUAD were determined. Survival analyses revealed their important prognostic values. LUAD microenvironment presented a markedly decreased infiltration of immune cells compared to normal lung tissues. We found tumors with up-regulated expression of these key molecules exhibited a significantly decreased TME cell infiltration and increased immune checkpoint molecule expression. The high riskScore subtype was characterized by decreased innate and adaptive immune cell infiltration. Activation of p53 signaling pathway and regulator T cells were observed in the high riskScore subtype, which were regarded as T-cell suppressive and could be responsible for poorer prognosis in this subtype (HR 1.83(1.27–2.63)). Multivariate analyses demonstrated the riskScore was a robust and independent prognostic biomarker, and its value in predicting immunotherapeutic outcomes was also confirmed (HR 1.70(1.22–2.37)). This study reveal a novel gene signature significantly related to patient prognosis and TME cell infiltration in LUAD. We demonstrated the integrated roles of multiple key molecules played a crucial role in shaping TME cell infiltration diversity and complexity. Evaluating the integrated characterization of multiple key molecules could contribute to predicting patients' response to immunotherapy and guiding more effective immunotherapy strategies.
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
发顶刊的氧化钴完成签到,获得积分10
2秒前
包远锋完成签到,获得积分10
2秒前
MZP完成签到,获得积分10
2秒前
njzhangyanyang完成签到,获得积分0
3秒前
poohpooh发布了新的文献求助10
3秒前
天空之境完成签到 ,获得积分10
4秒前
daomaihu发布了新的文献求助100
6秒前
超级的初彤完成签到,获得积分10
7秒前
Shirley完成签到 ,获得积分10
7秒前
舒适的采波完成签到 ,获得积分10
8秒前
momo完成签到 ,获得积分10
9秒前
Samuel完成签到,获得积分0
10秒前
高乐多完成签到,获得积分10
10秒前
关畅澎完成签到,获得积分10
10秒前
SciGPT的应助被wjw采纳,获得10
10秒前
shijin135完成签到,获得积分10
13秒前
紫婧完成签到,获得积分10
13秒前
纸条条完成签到 ,获得积分10
14秒前
从云发布了新的文献求助20
14秒前
14秒前
DavidSun完成签到,获得积分10
15秒前
bing完成签到,获得积分10
16秒前
17秒前
Yuanrh发布了新的文献求助30
17秒前
呵呵呵完成签到,获得积分0
18秒前
Xu完成签到 ,获得积分10
21秒前
谢雷XIELei的应助被科研通管家采纳,获得10
21秒前
完美世界的应助被科研通管家采纳,获得10
21秒前
科研通AI2S的应助被科研通管家采纳,获得10
21秒前
cdercder的应助被科研通管家采纳,获得10
21秒前
谢雷XIELei的应助被科研通管家采纳,获得10
22秒前
cdercder的应助被科研通管家采纳,获得10
22秒前
SSDlk完成签到,获得积分10
22秒前
从云发布了新的文献求助10
22秒前
22秒前
22秒前
灵巧蓉完成签到,获得积分10
23秒前
好人一生平安完成签到 ,获得积分10
24秒前
lichunrong完成签到,获得积分10
26秒前
东方元语完成签到,获得积分0
27秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Deformation and Fracture of the Lumbar Vertebral End Plate 500
CLSI C56QG Examples of Hemolyzed, Icteric, and Lipemic/Turbid Samples Quick Guide 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7802608
求助须知:如何正确求助?哪些是违规求助? 9336575
关于积分的说明 20480621
捐赠科研通 7394160
什么是DOI,文献DOI怎么找? 3326910
关于科研通互助平台的介绍 2473989
邀请新用户注册赠送积分活动 2344938