Integrated Genomic Analysis Identifies Clinically Relevant Molecular Subtypes and Disulfidptosis-Related Prognostic Signature of Gastric Cancer

列线图 医学 免疫系统 肿瘤科 免疫疗法 癌症 多元分析 队列 肿瘤微环境 总体生存率 内科学 免疫学
作者
Yatao Wang,Fengqin Guo,Wei Song,Yanliang Liu,Qijun Xiang
出处
期刊:Journal of Immunotherapy [Lippincott Williams & Wilkins]
卷期号:48 (9): 343-357
标识
DOI:10.1097/cji.0000000000000570
摘要

Disulfidptosis is a newly defined disulfide stress-induced cell death. However, there are gaps in the prognostic role of disulfidptosis-related genes (DRGs) and their correlation with the tumor microenvironment (TME) in gastric cancer (GC). In here, we systematically investigated DRG changes at genomic and transcriptional levels, prognostic value, and their expression patterns in GC. Fifteen DRGs were used to identify the different subtypes, and the differences in prognosis and immune infiltration among the subtypes were examined. We identified 3 distinct molecular subtypes and observed profound differences among the 3 subtypes in clinical outcomes and infiltrating immune cells. Subsequently, a disulfidptosis-related signature (DRG_score) was constructed based on the overlapped disulfidptosis phenotype-related differentially expressed genes and was verified in an external cohort. The multivariate analysis confirmed that the DRG_score serves as an independent prognostic indicator for GC, and then a nomogram was built to increase the clinical applicability of the DRG_score. Furthermore, significant variations were observed in the TME, expression of multiple immune checkpoints, microsatellite status, tumor mutational burden, and response to different chemotherapeutics among the 2 DRG_score groups. A low DRG_score implies more significant TME cell infiltration and better response to immunotherapy. In conclusion, we present a comprehensive overview of the DRG profile in GC and develop a novel signature for GC patients. These findings could help us better understand DRG in GC and provide a theoretical foundation for future studies targeting disulfidptosis in GC.
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
踏实夜雪发布了新的文献求助10
刚刚
研友_VZG7GZ应助昵称采纳,获得10
刚刚
月蚀六花发布了新的文献求助10
1秒前
1秒前
dididi完成签到,获得积分0
2秒前
111完成签到,获得积分10
2秒前
2秒前
科研通AI6.2应助2024采纳,获得10
2秒前
bkagyin应助拓跋涵易采纳,获得10
3秒前
jiazunyao完成签到,获得积分10
3秒前
科研通AI6.4应助waner采纳,获得10
3秒前
万能图书馆应助Mr_Cleveland采纳,获得10
4秒前
Cuo应助科研通管家采纳,获得10
4秒前
Ginger完成签到,获得积分10
4秒前
慕青应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
脑洞疼应助小豪采纳,获得10
4秒前
大模型应助科研通管家采纳,获得10
4秒前
夏夏山发布了新的文献求助10
4秒前
5秒前
小二郎应助科研通管家采纳,获得10
5秒前
研友_VZG7GZ应助科研通管家采纳,获得10
5秒前
5秒前
吃狗粮的猫完成签到 ,获得积分10
5秒前
Zayne应助科研通管家采纳,获得10
5秒前
领导范儿应助科研通管家采纳,获得10
5秒前
Lucas应助科研通管家采纳,获得10
5秒前
YY完成签到,获得积分10
5秒前
传奇3应助科研通管家采纳,获得10
6秒前
FireflyCW发布了新的文献求助10
6秒前
大模型应助科研通管家采纳,获得30
6秒前
Zayne应助科研通管家采纳,获得30
6秒前
小马甲应助ayan采纳,获得10
6秒前
coolru应助科研通管家采纳,获得10
6秒前
6秒前
了不起的朱灰灰完成签到,获得积分10
6秒前
完美世界应助明亮的紫伊采纳,获得10
6秒前
6秒前
Nole应助迷人雪卉采纳,获得10
6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
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7740203
求助须知:如何正确求助?哪些是违规求助? 9288978
关于积分的说明 20193118
捐赠科研通 7318381
什么是DOI,文献DOI怎么找? 3306404
关于科研通互助平台的介绍 2458661
邀请新用户注册赠送积分活动 2316470