Deregulated transcription factors in the emerging cancer hallmarks

转录因子 生物 增强子 表观遗传学 重编程 癌细胞 抄写(语言学) 细胞生物学 癌症 基因 计算生物学 遗传学 语言学 哲学
作者
Adria Hasan,Naushad Ahmad Khan,Shahab Uddin,Abdul Quaiyoom Khan,Martin Steinhoff
出处
期刊:Seminars in Cancer Biology [Elsevier]
卷期号:98: 31-50 被引量:5
标识
DOI:10.1016/j.semcancer.2023.12.001
摘要

Cancer progression is a multifaceted process that entails several stages and demands the persistent expression or activation of transcription factors (TFs) to facilitate growth and survival. TFs are a cluster of proteins with DNA-binding domains that attach to promoter or enhancer DNA strands to start the transcription of genes by collaborating with RNA polymerase and other supporting proteins. They are generally acknowledged as the major regulatory molecules that coordinate biological homeostasis and the appropriate functioning of cellular components, subsequently contributing to human physiology. TFs proteins are crucial for controlling transcription during the embryonic stage and development, and the stability of different cell types depends on how they function in different cell types. The development and progression of cancer cells and tumors might be triggered by any anomaly in transcription factor function. It has long been acknowledged that cancer development is accompanied by the dysregulated activity of TF alterations which might result in faulty gene expression. Recent studies have suggested that dysregulated transcription factors play a major role in developing various human malignancies by altering and rewiring metabolic processes, modifying the immune response, and triggering oncogenic signaling cascades. This review emphasizes the interplay between TFs involved in metabolic and epigenetic reprogramming, evading immune attacks, cellular senescence, and the maintenance of cancer stemness in cancerous cells. The insights presented herein will facilitate the development of innovative therapeutic modalities to tackle the dysregulated transcription factors underlying cancer.
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
小二郎应助3s采纳,获得10
刚刚
1秒前
bkagyin应助向xiang123采纳,获得10
2秒前
鱼雁发布了新的文献求助10
2秒前
CodeCraft应助顺利毕业采纳,获得10
2秒前
3秒前
黄道婆完成签到 ,获得积分10
3秒前
小C完成签到,获得积分10
3秒前
4秒前
深情安青应助raycee采纳,获得10
4秒前
英俊的铭应助穆亦擎采纳,获得10
4秒前
5秒前
6秒前
universe_hhy完成签到,获得积分10
8秒前
夏侯幻梦完成签到 ,获得积分0
9秒前
dwt完成签到,获得积分10
9秒前
科研通AI2S应助jbear采纳,获得10
10秒前
怡然白竹发布了新的文献求助10
10秒前
10秒前
12秒前
脑洞疼应助小王采纳,获得50
12秒前
13秒前
李李发布了新的文献求助10
14秒前
传奇3应助Fanny采纳,获得10
14秒前
FashionBoy应助呆萌的兔子采纳,获得10
16秒前
16秒前
大个应助幽默的寒蕾采纳,获得10
17秒前
3s发布了新的文献求助10
18秒前
20秒前
anna1992发布了新的文献求助10
20秒前
科研通AI2S应助糖醋排骨采纳,获得10
22秒前
ICU叶楠关注了科研通微信公众号
23秒前
科研通AI2S应助jbear采纳,获得10
24秒前
鱼雁完成签到,获得积分10
24秒前
Yuxuan发布了新的文献求助10
24秒前
24秒前
NexusExplorer应助StevenZhao采纳,获得10
26秒前
Fanny完成签到,获得积分10
27秒前
DX完成签到,获得积分10
27秒前
27秒前
高分求助中
Shape Determination of Large Sedimental Rock Fragments 2000
Sustainability in Tides Chemistry 2000
Wirkstoffdesign 1000
Rechtsphilosophie 1000
Bayesian Models of Cognition:Reverse Engineering the Mind 888
A Dissection Guide & Atlas to the Rabbit 600
Very-high-order BVD Schemes Using β-variable THINC Method 568
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3129103
求助须知:如何正确求助?哪些是违规求助? 2779953
关于积分的说明 7745314
捐赠科研通 2435069
什么是DOI,文献DOI怎么找? 1293897
科研通“疑难数据库(出版商)”最低求助积分说明 623472
版权声明 600542