清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Methylation signatures as biomarkers for non-invasive early detection of breast cancer: A systematic review of the literature

乳腺癌 DNA甲基化 甲基化 生物标志物 肿瘤科 医学 癌症 内科学 生物信息学 生物 基因 遗传学 基因表达
作者
Tessa Gonzalez,Qian Nie,Lubna N. Chaudhary,Donald Basel,Honey V. Reddi
出处
期刊:Cancer genetics [Elsevier BV]
卷期号:282-283: 1-8 被引量:45
标识
DOI:10.1016/j.cancergen.2023.12.003
摘要

Background Early detection of breast cancer would help alleviate the burden of treatment for early-stage breast cancer and help patient prognosis. There is currently no established gene panel that utilizes the potential of DNA methylation as a molecular signature for the early detection of breast cancer. This systematic review aims to identify the optimal methylation biomarkers for a non-invasive liquid biopsy assay and the gaps in knowledge regarding biomarkers for early detection of breast cancer. Methods Following the PRISMA-ScR method, Pubmed and Google Scholar was searched for publications related to methylation biomarkers in breast cancer over a five-year period. Eligible publications were mined for key data fields such as study aims, cohort demographics, types of breast cancer studied, technologies used, and outcomes. Data was analyzed to address the objectives of the review. Results Literature search identified 112 studies of which based on eligibility criteria, 13 studies were included. 28 potential methylation gene targets were identified, of which 23 were methylated at the promoter region, 1 was methylated in the body of the gene and 4 were methylated at yet to be identified locations. Conclusions Our evaluation shows that at minimum APC, RASSFI, and FOXA1 genes would be a promising set of genes to start with for the early detection of breast cancer, based on the sensitivity and specificity outlined in the studies. Prospective studies are needed to optimize biomarkers for broader impact in early detection of breast 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
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
我是老大应助科研通管家采纳,获得50
6秒前
15秒前
16秒前
逍遥子完成签到,获得积分10
24秒前
luqi完成签到,获得积分20
29秒前
30秒前
36秒前
wakawaka完成签到 ,获得积分10
51秒前
53秒前
57秒前
雁菡清清发布了新的文献求助20
59秒前
雪山飞龙发布了新的文献求助10
1分钟前
PHI完成签到 ,获得积分10
1分钟前
1分钟前
坏坏的快乐完成签到,获得积分10
1分钟前
南风完成签到 ,获得积分10
1分钟前
1分钟前
王吉萍完成签到 ,获得积分10
1分钟前
369ninja应助科研通管家采纳,获得10
2分钟前
无悔完成签到 ,获得积分0
2分钟前
雁菡清清完成签到 ,获得积分10
2分钟前
scenery0510完成签到,获得积分10
2分钟前
2分钟前
3分钟前
鸡鸡大魔王完成签到,获得积分10
3分钟前
阚乐乐完成签到 ,获得积分10
3分钟前
3分钟前
Skywings完成签到,获得积分10
3分钟前
Skywings发布了新的文献求助30
3分钟前
TiAmo完成签到 ,获得积分10
3分钟前
4分钟前
科研通AI2S应助科研通管家采纳,获得10
4分钟前
Aixx完成签到 ,获得积分10
4分钟前
4分钟前
4分钟前
4分钟前
bkagyin应助飞快的映菱采纳,获得10
4分钟前
黑粉头头完成签到,获得积分10
4分钟前
忘忧Aquarius完成签到,获得积分0
5分钟前
5分钟前
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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
全相对论原子结构与含时波包动力学的理论研究--清华大学 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 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 6444681
求助须知:如何正确求助?哪些是违规求助? 8258513
关于积分的说明 17591285
捐赠科研通 5504070
什么是DOI,文献DOI怎么找? 2901501
邀请新用户注册赠送积分活动 1878497
关于科研通互助平台的介绍 1717933