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How Many Etiological Subtypes of Breast Cancer: Two Three Four Or More?

机译:乳腺癌有多少种病因亚型:两种三种四种或更多种?

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摘要

Breast cancer is a heterogeneous disease, divisible into a variable number of clinical subtypes. A fundamental question is how many etiological classes underlie the clinical spectrum of breast cancer? An etiological subtype reflects a grouping with a common set of causes, whereas a clinical subtype represents a grouping with similar prognosis and/or prediction. Herein, we review the evidence for breast cancer etiological heterogeneity. We then evaluate the etiological evidence with mRNA profiling data. A bimodal age distribution at diagnosis with peak frequencies near ages 50 and 70 years is a fundamental characteristic of breast cancer for important tumor features, clinical characteristics, risk factor profiles, and molecular subtypes. The bimodal peak frequencies at diagnosis divide breast cancer overall into a “mixture” of two main components in varying proportions in different cancer populations. The first breast cancer tends to arise early in life with modal age-at-diagnosis near 50 years and generally behaves aggressively. The second breast cancer occurs later in life with modal age near 70 years and usually portends a more indolent clinical course. These epidemiological and molecular data are consistent with a two-component mixture model and compatible with a hierarchal view of breast cancers arising from two main cell types of origin. Notwithstanding the potential added value of more detailed categorizations for personalized breast cancer treatment, we suggest that the development of better criteria to identify the two proposed etiologic classes would advance breast cancer research and prevention.
机译:乳腺癌是一种异质性疾病,可分为多种临床亚型。一个基本的问题是乳腺癌的临床谱系中有多少病因分类?病因亚型反映了一组具有共同原因的分组,而临床亚型则代表了具有相似预后和/或预测的分组。本文中,我们回顾了乳腺癌病因异质性的证据。然后,我们用mRNA分析数据评估病因证据。诊断时双峰年龄分布的峰值频率接近50岁和70岁,这是乳腺癌重要肿瘤特征,临床特征,危险因素概况和分子亚型的基本特征。诊断时的双峰峰值频率将乳腺癌总体上分为两种主要成分的“混合物”,在不同癌症人群中比例不同。最初的乳腺癌往往会在生命早期出现,并在模态下诊断年龄接近50岁,并且通常表现出侵略性。第二种乳腺癌发生在生命的后期,模范年龄接近70岁,通常预示着更为缓慢的临床过程。这些流行病学和分子数据与两组分混合模型一致,并且与从两种主要细胞类型起源的乳腺癌的分层视图兼容。尽管更个性化的乳腺癌治疗可能具有更详细分类的附加值,但我们建议开发出更好的标准以识别两种拟议的病因学类别将促进乳腺癌的研究和预防。

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