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.
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
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
1秒前
晨曦完成签到,获得积分10
2秒前
优雅柏柳发布了新的文献求助10
2秒前
奇点关注了科研通微信公众号
3秒前
王sir完成签到,获得积分10
4秒前
Daisy应助xiaobai采纳,获得30
5秒前
晨曦发布了新的文献求助10
6秒前
star完成签到 ,获得积分10
6秒前
7秒前
李健应助无辜的追命采纳,获得10
7秒前
tengfei完成签到 ,获得积分10
8秒前
8秒前
量子星尘发布了新的文献求助10
9秒前
无极完成签到,获得积分20
9秒前
10秒前
彭于晏应助依依采纳,获得10
12秒前
12秒前
12秒前
13秒前
13秒前
专注科研完成签到,获得积分10
14秒前
16秒前
斯文寄琴发布了新的文献求助10
16秒前
大力嚓茶完成签到,获得积分10
18秒前
胖莹完成签到 ,获得积分10
18秒前
斐嘿嘿发布了新的文献求助10
18秒前
粘豆包完成签到 ,获得积分10
19秒前
19秒前
20秒前
20秒前
大力嚓茶发布了新的文献求助10
20秒前
付其喜完成签到,获得积分10
24秒前
wanci应助Son4904采纳,获得30
24秒前
25秒前
白斯特发布了新的文献求助10
25秒前
25秒前
fanhaonan发布了新的文献求助30
25秒前
核桃给沫荔的求助进行了留言
26秒前
26秒前
27秒前
高分求助中
【提示信息,请勿应助】关于scihub 10000
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] 3000
The Mother of All Tableaux: Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 3000
A new approach to the extrapolation of accelerated life test data 1000
徐淮辽南地区新元古代叠层石及生物地层 500
北师大毕业论文 基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 390
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4019310
求助须知:如何正确求助?哪些是违规求助? 3559502
关于积分的说明 11331680
捐赠科研通 3291998
什么是DOI,文献DOI怎么找? 1813477
邀请新用户注册赠送积分活动 888853
科研通“疑难数据库(出版商)”最低求助积分说明 812624