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.
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