Molecular identification of an immunity- and Ferroptosis-related gene signature in non-small cell lung Cancer.

癌症研究 癌症 医学 癌变
作者
Taisheng Liu,Honglian Luo,Jinye Zhang,Xiaoshan Hu,Jian Zhang
出处
期刊:BMC Cancer [BioMed Central]
卷期号:21 (1): 1-9 被引量:5
标识
DOI:10.1186/s12885-021-08541-w
摘要

Lung cancer is one of the dominant causes of cancer-related deaths worldwide. Ferroptosis, an iron-dependent form of programmed cell death, plays a key role in cancer immunotherapy. However, the role of immunity- and ferroptosis-related gene signatures in non-small cell lung cancer (NSCLC) remain unclear. RNA-seq data and clinical information pertaining to NSCLC were collected from The Cancer Genome Atlas dataset. Univariate and multivariate Cox regression analyses were performed to identify ferroptosis-related genes. A receiver operating characteristic (ROC) model was established for sensitivity and specificity evaluation. Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses were performed to explore the function roles of differentially expressed genes. A signature composed of five ferroptosis-related genes was established to stratify patients into high- and low-risk subgroups. In comparison with patients in the low-risk group, those in the high-risk one showed significantly poor overall survival in the training and validation cohorts (P < 0.05). Multivariate Cox regression analysis indicated risk score to be an independent predictor of overall survival (P < 0.01). Further, the 1-, 2-, and 3-year ROCs were 0.623 vs. 0.792 vs. 0.635, 0.644 vs. 0.792 vs. 0.634, and 0.631 vs. 0.641 vs. 0.666 in one training and two validation cohorts, respectively. Functional analysis revealed that immune-related pathways were enriched and associated with abnormal activation of immune cells. We identified five immunity- and ferroptosis-related genes that may be involved in NSCLC progression and prognosis. Targeting ferroptosis-related genes seems to be an alternative to clinical therapy for NSCLC.

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
2秒前
2秒前
英俊的铭应助小白i采纳,获得10
2秒前
3秒前
weixia应助小杨小杨采纳,获得10
3秒前
3秒前
4秒前
领导范儿应助阳光黑裤采纳,获得10
4秒前
charint应助甜蜜绿柏采纳,获得30
6秒前
able0812发布了新的文献求助10
6秒前
LiangWQ完成签到,获得积分10
7秒前
尤文昊发布了新的文献求助10
7秒前
8秒前
8秒前
Chandler完成签到,获得积分10
8秒前
慕青应助乔舟采纳,获得10
8秒前
song发布了新的文献求助10
10秒前
MiRoRo完成签到 ,获得积分10
10秒前
11秒前
kensonpan发布了新的文献求助10
11秒前
Locanacc完成签到,获得积分10
13秒前
haha_peng发布了新的文献求助100
14秒前
南风南下发布了新的文献求助10
14秒前
周小夭发布了新的文献求助10
14秒前
冯冯发布了新的文献求助10
16秒前
17秒前
lili完成签到,获得积分20
17秒前
17秒前
SciGPT应助song采纳,获得10
18秒前
18秒前
19秒前
23秒前
LLLL1991发布了新的文献求助10
23秒前
鱼鱼完成签到,获得积分10
24秒前
11111发布了新的文献求助10
24秒前
26秒前
song完成签到,获得积分10
26秒前
26秒前
28秒前
乐乐应助大菠萝头采纳,获得10
30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
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Soil mites of the family Rhagidiidae (Actinedida: Eupodoidea). Morphology, Systematics, Ecology 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Stratospheric Ozone: A Textbook 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 7361720
求助须知:如何正确求助?哪些是违规求助? 8971104
关于积分的说明 19068720
捐赠科研通 7007716
什么是DOI,文献DOI怎么找? 3223391
关于科研通互助平台的介绍 2387041
邀请新用户注册赠送积分活动 2204128