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了解组织学分级的分子基础。

Understanding the molecular basis of histologic grade.

作者信息

Ignatiadis M, Sotiriou C

机构信息

Translational Research Unit, Jules Bordet Institute, Brussels, Belgium.

出版信息

Pathobiology. 2008;75(2):104-11. doi: 10.1159/000123848. Epub 2008 Jun 10.

DOI:10.1159/000123848
PMID:18544965
Abstract

Histologic grading in breast cancer is based on the evaluation of 3 morphologic features (tubule formation, nuclear pleomorphism and mitotic count), is essentially describing proliferation and differentiation in breast cancer, and is considered an important prognostic factor for this disease. It has been suggested that histologic grade 1 and 3 breast tumors are 2 different diseases that may have distinct molecular origins, pathogenesis and natural history. Different single markers like Ki-67, thymidine labeling index and S phase fraction/flow cytometry have been studied as markers of proliferation, but none of them, with the possible exception of Ki-67, is currently employed routinely in clinical practice. The advent of the powerful microarray technology has enabled scientists to comprehensively study proliferation in breast cancer on a genome-wide scale. A gene expression grade index (GGI) was developed that challenges the existence and clinical relevance of an intermediate grade 2 classification. The GGI could reclassify patients with histologic grade 2 tumors into 2 groups with high versus low risks of recurrence. GGI has also been used to define 2 clinically relevant subgroups in estrogen receptor-positive breast carcinomas. Finally, in the largest meta-analysis of publicly available gene expression and clinical data, 4 stable molecular subgroups of breast cancer have been identified, namely ER-/HER-, HER2+ and ER+/HER2-, which was divided into 2 subgroups (ER+/low proliferation and ER+/high proliferation). In this same meta-analysis, proliferation was shown to be the common driving force responsible for the performance of various breast cancer prognostic signatures.

摘要

乳腺癌的组织学分级基于对三种形态学特征(小管形成、核多形性和有丝分裂计数)的评估,本质上是描述乳腺癌中的增殖和分化情况,并且被认为是该疾病的一个重要预后因素。有人提出,组织学1级和3级乳腺肿瘤是两种不同的疾病,可能具有不同的分子起源、发病机制和自然史。不同的单一标志物如Ki-67、胸腺嘧啶核苷标记指数和S期分数/流式细胞术已被作为增殖标志物进行研究,但目前在临床实践中,除了Ki-67可能例外,它们都未被常规使用。强大的微阵列技术的出现使科学家能够在全基因组范围内全面研究乳腺癌中的增殖情况。一种基因表达分级指数(GGI)被开发出来,它对中间2级分类的存在及其临床相关性提出了挑战。GGI可以将组织学2级肿瘤患者重新分类为复发风险高和低的两组。GGI还被用于定义雌激素受体阳性乳腺癌中的两个临床相关亚组。最后,在对公开可用的基因表达和临床数据进行的最大规模荟萃分析中,已确定了乳腺癌的4个稳定分子亚组,即ER-/HER-、HER2+和ER+/HER2-,其中ER+/HER2-又分为两个亚组(ER+/低增殖和ER+/高增殖)。在同一荟萃分析中,增殖被证明是各种乳腺癌预后特征表现的共同驱动力。

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