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雌激素非依赖性基因表达定义了雌激素受体阳性乳腺癌的临床相关亚组。

Estrogen independent gene expression defines clinically relevant subgroups of estrogen receptor positive breast cancer.

作者信息

Hallett Robin M, Hassell John A

机构信息

Department of Biochemistry and Biomedical Sciences, Centre for Functional Genomics, McMaster University, 1200 Main Street West, Hamilton, Ontario L8N 3Z5, Canada.

出版信息

BMC Cancer. 2014 Nov 24;14:871. doi: 10.1186/1471-2407-14-871.

Abstract

BACKGROUND

Human breast cancer represents a significantly heterogeneous disease. Global gene expression profiling measurements have been used to classify tumors into multiple molecular subtypes. The capacity to define subtypes of breast tumors provides a framework to enable improved understanding of the mechanisms of breast oncogenesis, as well as to provide opportunities for improved therapeutic intervention in patients.

METHODS

We used publicly available gene expression profiling data to identify 'estrogen independent' genes in estrogen receptor alpha (ER+) breast tumors, and subsequently identified 6 subgroups of ER+breast tumors.

RESULTS

Each of the 6 identified subgroups exhibited distinct clinical behaviors and biology. Patients whose tumors comprised subgroups 2,5&6 experienced excellent long-term survival, whereas those patients whose tumors belonged to subgroups 1&4 experienced much poorer survival. Breast tumor cell lines representative of the different subgroups responded to therapeutic compounds in accordance with their subgroup classification.

CONCLUSIONS

These data support the existence of 6 distinct subgroups of ER+breast cancer and suggest that knowledge of the ER+subgroup status of patient samples have the potential to guide therapy choice.

摘要

背景

人类乳腺癌是一种具有显著异质性的疾病。全球基因表达谱测量已被用于将肿瘤分类为多种分子亚型。定义乳腺肿瘤亚型的能力提供了一个框架,有助于更好地理解乳腺肿瘤发生的机制,并为改善患者的治疗干预提供机会。

方法

我们使用公开可用的基因表达谱数据来识别雌激素受体α(ER+)乳腺肿瘤中的“雌激素非依赖性”基因,随后确定了ER+乳腺肿瘤的6个亚组。

结果

所确定的6个亚组中的每一个都表现出独特的临床行为和生物学特性。肿瘤包含亚组2、5和6的患者经历了良好的长期生存,而肿瘤属于亚组1和4的患者生存情况则差得多。代表不同亚组的乳腺肿瘤细胞系根据其亚组分类对治疗化合物产生反应。

结论

这些数据支持存在6个不同的ER+乳腺癌亚组,并表明了解患者样本的ER+亚组状态有可能指导治疗选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6928/4289221/66ce934bfaf3/12885_2014_5122_Fig1_HTML.jpg

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