Mutation-associated transcripts reconstruct the prognostic features of oral tongue squamous cell carcinoma

舌头 生物 DNA甲基化 甲基化 转录组 舌肿瘤 癌症研究 癌症 头颈部鳞状细胞癌 基因 基因表达 病理 医学 遗传学 头颈部癌
作者
Libo Liang,Yi Li,Binwu Ying,Xinyan Huang,Shenling Liao,Jiajin Yang,Ga Liao
出处
期刊:International Journal of Oral Science [Springer Nature]
卷期号:15 (1) 被引量:1
标识
DOI:10.1038/s41368-022-00210-3
摘要

Abstract Tongue squamous cell carcinoma is highly malignant and has a poor prognosis. In this study, we aimed to combine whole-genome sequencing, whole-genome methylation, and whole-transcriptome analyses to understand the molecular mechanisms of tongue squamous cell carcinoma better. Oral tongue squamous cell carcinoma and adjacent normal tissues from five patients with tongue squamous cell carcinoma were included as five paired samples. After multi-omics sequencing, differentially methylated intervals, methylated loop sites, methylated promoters, and transcripts were screened for variation in all paired samples. Correlations were analyzed to determine biological processes in tongue squamous cell carcinoma. We found five mutated methylation promoters that were significantly associated with mRNA and lncRNA expression levels. Functional annotation of these transcripts revealed their involvement in triggering the mitogen-activated protein kinase cascade, which is associated with cancer progression and the development of drug resistance during treatment. The prognostic signature models constructed based on WDR81 and HNRNPH1 and combined clinical phenotype–gene prognostic signature models showed high predictive efficacy and can be applied to predict patient prognostic risk in clinical settings. We identified biological processes in tongue squamous cell carcinoma that are initiated by mutations in the methylation promoter and are associated with the expression levels of specific mRNAs and lncRNAs. Collectively, changes in transcript levels affect the prognosis of tongue squamous cell carcinoma patients.

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
深情安青应助西北采纳,获得10
刚刚
Eternitymaria完成签到,获得积分10
刚刚
1秒前
水水水完成签到,获得积分20
1秒前
2秒前
fy12345发布了新的文献求助10
4秒前
伯赏清涟完成签到,获得积分10
4秒前
4秒前
4秒前
yafei完成签到 ,获得积分10
5秒前
辣椒油发布了新的文献求助10
6秒前
可乐发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
8秒前
8秒前
zzz完成签到,获得积分10
8秒前
isak完成签到 ,获得积分10
9秒前
cxx1120发布了新的文献求助10
10秒前
贾不可发布了新的文献求助30
10秒前
棍棍来也完成签到,获得积分10
11秒前
CHENJIXIANG发布了新的文献求助10
12秒前
zcz完成签到,获得积分20
13秒前
汉堡包应助水水水采纳,获得10
14秒前
Mjl完成签到,获得积分10
15秒前
18秒前
19秒前
20秒前
Hsien完成签到 ,获得积分10
20秒前
jason完成签到,获得积分10
20秒前
hyw完成签到,获得积分10
21秒前
Hello应助称心雁菡采纳,获得10
21秒前
撒大大完成签到,获得积分10
22秒前
JDL发布了新的文献求助10
22秒前
23秒前
强强发布了新的文献求助10
24秒前
26秒前
韩勇超完成签到,获得积分10
26秒前
lighting完成签到 ,获得积分10
26秒前
27秒前
辣椒油完成签到,获得积分10
27秒前
桐桐应助aaak采纳,获得10
29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
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Work Engagement and Employee Well-being 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6068385
求助须知:如何正确求助?哪些是违规求助? 7900452
关于积分的说明 16330419
捐赠科研通 5209922
什么是DOI,文献DOI怎么找? 2786699
邀请新用户注册赠送积分活动 1769632
关于科研通互助平台的介绍 1647908