Breast cancer classification: linking molecular mechanisms to disease prognosis

乳腺癌 亚型 疾病 计算生物学 癌症 生物标志物发现 基因表达谱 分子诊断学 生物信息学 分类方案 医学 生物标志物 肿瘤科 生物 内科学 基因 计算机科学 机器学习 基因表达 蛋白质组学 遗传学 程序设计语言
作者
Atefeh Taherian Fard,Sriganesh Srihari,Mark A. Ragan
出处
期刊:Briefings in Bioinformatics [Oxford University Press]
卷期号:16 (3): 461-474 被引量:68
标识
DOI:10.1093/bib/bbu020
摘要

Accurate subtyping or classification of breast cancer is important for ensuring proper treatment of patients and also for understanding the molecular mechanisms driving this disease. While there have been several gene signatures proposed in the literature to classify breast tumours, these signatures show very low overlaps, different classification performance, and not much relevance to the underlying biology of these tumours. Here we evaluate DNA-damage response (DDR) and cell cycle pathways, which are critical pathways implicated in a considerable proportion of breast tumours, for their usefulness and ability in breast tumour subtyping. We think that subtyping breast tumours based on these two pathways could lead to vital insights into molecular mechanisms driving these tumours. Here, we performed a systematic evaluation of DDR and cell-cycle pathways for subtyping of breast tumours into the five known intrinsic subtypes. Homologous Recombination (HR) pathway showed the best performance in subtyping breast tumours, indicating that HR genes are strongly involved in all breast tumours. Comparisons of pathway based signatures and two standard gene signatures supported the use of known pathways for breast tumour subtyping. Further, the evaluation of these standard gene signatures showed that breast tumour subtyping, prognosis and survival estimation are all closely related. Finally, we constructed an all-inclusive super-signature by combining (union of) all genes and performing a stringent feature selection, and found it to be reasonably accurate and robust in classification as well as prognostic value. Adopting DDR and cell cycle pathways for breast tumour subtyping achieved robust and accurate breast tumour subtyping, and constructing a super-signature which contains feature selected mix of genes from these molecular pathways as well as clinical aspects is valuable in clinical practice.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
量子星尘发布了新的文献求助10
1秒前
1秒前
mr_zhou完成签到,获得积分10
1秒前
王大帅哥发布了新的文献求助10
2秒前
Vince发布了新的文献求助100
2秒前
2秒前
2秒前
小吴同学发布了新的文献求助10
3秒前
3秒前
在水一方应助肖浩翔采纳,获得10
4秒前
453关闭了453文献求助
4秒前
4秒前
科研小白完成签到,获得积分10
4秒前
KKUMee完成签到,获得积分10
4秒前
111发布了新的文献求助10
4秒前
Orange应助lll采纳,获得10
4秒前
4秒前
爱吃土豆的小浣熊完成签到,获得积分10
5秒前
alice发布了新的文献求助10
5秒前
壮观的寒松应助鸭鸭采纳,获得10
5秒前
爆米花应助Xiaoy采纳,获得10
6秒前
橘子树77完成签到 ,获得积分10
7秒前
无花果应助ye采纳,获得10
7秒前
上官若男应助开朗的幻桃采纳,获得10
8秒前
山野发布了新的文献求助10
8秒前
梁哲铭发布了新的文献求助10
9秒前
坚持很酷完成签到,获得积分10
10秒前
11秒前
李沐唅发布了新的文献求助10
11秒前
不二完成签到 ,获得积分10
15秒前
16秒前
17秒前
梁哲铭完成签到,获得积分10
17秒前
17秒前
山野完成签到,获得积分10
18秒前
汉堡包应助XYX9910采纳,获得10
18秒前
在德黑兰击剑的椰子完成签到,获得积分10
19秒前
丁真人发布了新的文献求助30
20秒前
falcon完成签到,获得积分10
21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
Encyclopedia of Agriculture and Food Systems Third Edition 2000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 临床微生物学程序手册,多卷,第5版 2000
King Tyrant 720
Principles of Plasma Discharges and Materials Processing, 3rd Edition 400
The Synthesis of Simplified Analogues of Crambescin B Carboxylic Acid and Their Inhibitory Activity of Voltage-Gated Sodium Channels: New Aspects of Structure–Activity Relationships 400
El poder y la palabra: prensa y poder político en las dictaduras : el régimen de Franco ante la prensa y el periodismo 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5598918
求助须知:如何正确求助?哪些是违规求助? 4684367
关于积分的说明 14834587
捐赠科研通 4665432
什么是DOI,文献DOI怎么找? 2537506
邀请新用户注册赠送积分活动 1504967
关于科研通互助平台的介绍 1470655