Integrative analysis of the molecular mechanisms, immunological features and immunotherapy response of ferroptosis regulators across 33 cancer types

免疫系统 癌症 免疫疗法 癌变 癌症研究 生物 免疫学 遗传学
作者
Bufu Tang,Ruochen Yan,Jinyu Zhu,Shimiao Cheng,Chunli Kong,Weiqian Chen,Shiji Fang,Yajie Wang,Yang Yang,Rongfang Qiu,Chenying Lu,Jiansong Ji
出处
期刊:International Journal of Biological Sciences [Ivyspring International Publisher]
卷期号:18 (1): 180-198 被引量:48
标识
DOI:10.7150/ijbs.64654
摘要

Ferroptosis is a recently described mode of cell death caused by the accumulation of intracellular iron and lipid reactive oxygen species (ROS), which play critical roles in tumorigenesis and cancer progression. However, the underlying molecular mechanisms and promising biomarkers of ferroptosis among cancers remain to be elucidated. In this study, 30 ferroptosis regulators in ferroptosis-related signaling pathways were identified and analyzed in 33 cancer types. We found transcriptomic aberrations and evaluated the prognostic value of ferroptosis regulators across 33 cancer types. Then, we predicted and validated potential transcription factors (including E2F7, KLF5 and FOXM1) and therapeutic drugs (such as cyclophosphamide, vinblastine, and gefitinib) that target ferroptosis regulators in cancer. Moreover, we explored the molecular mechanisms of ferroptosis and found that signaling pathways such as the IL-1 and IL-2 pathways are closely associated with ferroptosis. Additionally, we found that ferroptosis regulators have a close relationship with immunity-related parameters, including the immune score, immune cell infiltration level, and immune checkpoint protein level. Finally, we determined a ferroptosis score using GSVA method. We found that the ferroptosis score effectively predicted ferroptotic cell death in tumor samples. And ferroptosis score is served as an independent prognostic indicator for the incidence and recurrence of cancers. More importantly, patients with high ferroptosis scores received greater benefit from immunotherapy. We aslo created an online webserver based on the nomogram prognostic model to predict the survival in immunotherapy cohort. The reason for this outcome is partially the result of patients with a high ferroptosis rate also having high immune scores, HLA-related gene expression and immune checkpoint protein expression, such as PDL2 and TIM3. Moreover, patients with high ferroptosis scores exhibited CD8 T cell and TIL infiltration and immune-related signaling pathway enrichment. In summary, we systematically summarize the molecular characteristics, clinical relevance and immune features of ferroptosis across cancers and show that the ferroptosis score can be used as a prognostic factor and for the evaluation of immunotherapy effects.
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
Six_seven完成签到,获得积分10
刚刚
1秒前
ceeray23应助孤独碧空采纳,获得10
1秒前
2秒前
3秒前
有机发布了新的文献求助10
3秒前
wxz完成签到,获得积分10
4秒前
weige发布了新的文献求助10
4秒前
4秒前
Akim应助周周采纳,获得10
5秒前
so000应助头孢克肟采纳,获得30
5秒前
5秒前
chr发布了新的文献求助10
6秒前
yuefeng发布了新的文献求助10
6秒前
科研通AI2S应助陈胖虎采纳,获得10
6秒前
6秒前
晓兴兴发布了新的文献求助10
6秒前
7秒前
pluto应助伊吹风子采纳,获得10
7秒前
fkh发布了新的文献求助10
7秒前
一一应助初心采纳,获得10
7秒前
8秒前
Lucas应助ju龙哥采纳,获得10
9秒前
xmfffff发布了新的文献求助10
9秒前
10秒前
Tim完成签到,获得积分10
10秒前
Eric发布了新的文献求助30
11秒前
Hello应助Capacition6采纳,获得10
11秒前
cocolu应助孤独的凌文采纳,获得10
11秒前
洋洋发布了新的文献求助30
12秒前
赘婿应助柳致毓采纳,获得10
13秒前
orixero应助。。采纳,获得10
14秒前
Lucas应助zyy采纳,获得10
14秒前
14秒前
Lila完成签到,获得积分10
15秒前
000000完成签到,获得积分10
17秒前
lyc45491314发布了新的文献求助10
17秒前
drwlr完成签到,获得积分10
17秒前
千千万万发布了新的文献求助10
17秒前
连接服务器失败完成签到 ,获得积分10
18秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2500
Востребованный временем 2500
Aspects of Babylonian celestial divination : the lunar eclipse tablets of enuma anu enlil 1500
Agaricales of New Zealand 1: Pluteaceae - Entolomataceae 1040
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 1000
Classics in Total Synthesis IV: New Targets, Strategies, Methods 1000
Devlopment of GaN Resonant Cavity LEDs 666
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3454714
求助须知:如何正确求助?哪些是违规求助? 3049977
关于积分的说明 9019871
捐赠科研通 2738696
什么是DOI,文献DOI怎么找? 1502218
科研通“疑难数据库(出版商)”最低求助积分说明 694438
邀请新用户注册赠送积分活动 693125