FAM81A Identified as a Stemness-Related Gene by Screening DNA Methylation Sites Based on Machine Learning-Accessed Stemness in Pancreatic Cancer

DNA甲基化 生物 甲基化 癌症研究 胰腺癌 基因 癌症 遗传学 计算生物学 基因表达
作者
Qiang Zhang,Shuai Sun,Qiuyi Xie,Xiaodong Wang,Jianjun Qian,Jie Yao,Zhennan Li
出处
期刊:Epigenomics [Future Medicine]
卷期号:14 (10): 569-588 被引量:8
标识
DOI:10.2217/epi-2022-0098
摘要

Aim: We thoroughly discuss the interaction between the stemness index and DNA methylation in pancreatic cancer (PC). Materials & methods: First, the stemness indices of PC (denoted mRNAsi and mDNAsi) were calculated using a one-class logistic regression machine-learning algorithm. Second, we screened the central methylation sites associated with stemness and screened out the key genes. We investigated the DNA methylation regulators associated with the key genes. Finally, using CIBERSORT and TIMER, we assessed the influence of stemness indexes and key genes on PC microenvironment formation. Results: In this study we quantified the stemness indices for PC and screened 20 related central DNA methylation sites. Further analysis of the methylation site cg22687244, located in the 3' UTR, revealed that it promoted the expression of the key gene FAM81A. We show that FAM81A may be regulated by DNA methylation regulators. Furthermore, immune cells were found to be more abundant in PC microenvironments with high expression of FAM81A. Conclusion: We report for the first time that the 3' UTR methylation of FAM81A is closely related to PC stemness and contributes to tumor immune infiltration. Therefore FAM81A may serve as a potential marker to guide the treatment of PC.
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
充电宝应助小小采纳,获得10
刚刚
大模型应助雪白锦程采纳,获得10
刚刚
lh发布了新的文献求助10
刚刚
Bonny发布了新的文献求助10
刚刚
今后应助孤独的AD钙采纳,获得10
刚刚
hl7166发布了新的文献求助30
1秒前
1秒前
2秒前
2秒前
自然的山灵完成签到,获得积分10
2秒前
3秒前
Lucas应助胡智平采纳,获得10
3秒前
3秒前
大个应助兰彻采纳,获得10
3秒前
Ava应助诺亚采纳,获得10
3秒前
xumengyu发布了新的文献求助10
4秒前
4秒前
深情安青应助西蓝花采纳,获得10
4秒前
慕青应助EMP采纳,获得10
5秒前
晚风发布了新的文献求助10
5秒前
6秒前
6秒前
6秒前
孟孟发布了新的文献求助10
6秒前
6秒前
芜湖发布了新的文献求助10
6秒前
千山语完成签到,获得积分10
6秒前
6秒前
看看看看哼哼唧唧完成签到,获得积分10
8秒前
科研通AI2S应助张荟采纳,获得10
9秒前
9秒前
义气的仇血完成签到,获得积分10
9秒前
小小熊猫发布了新的文献求助10
9秒前
香蕉觅云应助MKY采纳,获得30
9秒前
天天快乐应助echo采纳,获得10
10秒前
10秒前
呆萌千凝发布了新的文献求助10
10秒前
天真青旋发布了新的文献求助10
10秒前
11秒前
11秒前
高分求助中
Metallurgy at high pressures and high temperatures 2000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
Relationship between smartphone usage in changes of ocular biometry components and refraction among elementary school children 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
应急管理理论与实践 530
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6336385
求助须知:如何正确求助?哪些是违规求助? 8152215
关于积分的说明 17122760
捐赠科研通 5391912
什么是DOI,文献DOI怎么找? 2857849
邀请新用户注册赠送积分活动 1835340
关于科研通互助平台的介绍 1685982