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从细胞身份模型的角度对乳腺癌进行分类

Classification of Breast Cancer Through the Perspective of Cell Identity Models.

作者信息

Iggo Richard, MacGrogan Gaetan

机构信息

INSERM, Bergonie Cancer Institute, University of Bordeaux, Bordeaux, France.

出版信息

Adv Exp Med Biol. 2025;1464:185-207. doi: 10.1007/978-3-031-70875-6_11.


DOI:10.1007/978-3-031-70875-6_11
PMID:39821027
Abstract

The mammary epithelium has an inner luminal layer that contains estrogen receptor (ER)-positive hormone-sensing cells and ER-negative alveolar/secretory cells, and an outer basal layer that contains myoepithelial/stem cells. Most human tumours resemble either hormone-sensing cells or alveolar/secretory cells. The most widely used molecular classification, the Intrinsic classification, assigns hormone-sensing tumours to Luminal A/B and human epidermal growth factor 2-enriched (HER2E)/molecular apocrine (MA)/luminal androgen receptor (LAR)-positive classes, and alveolar/secretory tumours to the Basal-like class. Molecular classification is most useful when tumours have classic invasive carcinoma of no special type (NST) histology. It is less useful for special histological types of breast cancer, such as metaplastic breast cancer and adenoid cystic cancer, which are better described with standard pathology terms. Compared to mice, humans show a strong bias towards making tumours that resemble mammary hormone-sensing cells. This could be caused by the formation in adolescence of der(1;16), a translocation through the centromeres of chromosomes 1 and 16, which only occurs in humans and could trap the cells in the hormone-sensing state.

摘要

乳腺上皮有一个内层腔面,包含雌激素受体(ER)阳性的激素感应细胞和ER阴性的腺泡/分泌细胞,以及一个外层基底层,包含肌上皮/干细胞。大多数人类肿瘤类似于激素感应细胞或腺泡/分泌细胞。最广泛使用的分子分类,即内在分类,将激素感应肿瘤归为腔面A/B类和人表皮生长因子2富集(HER2E)/分子大汗腺(MA)/腔面雄激素受体(LAR)阳性类,将腺泡/分泌肿瘤归为基底样类。当肿瘤具有无特殊类型(NST)组织学的经典浸润性癌时,分子分类最为有用。对于特殊组织学类型的乳腺癌,如化生性乳腺癌和腺样囊性癌,分子分类的作用较小,这些用标准病理学术语描述更好。与小鼠相比,人类在形成类似于乳腺激素感应细胞的肿瘤方面有强烈的偏向性。这可能是由于在青春期形成了der(1;16),这是一种通过1号和16号染色体着丝粒的易位,仅发生在人类中,可能会使细胞陷入激素感应状态。

相似文献

[1]
Classification of Breast Cancer Through the Perspective of Cell Identity Models.

Adv Exp Med Biol. 2025

[2]
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[3]
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[4]
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[1]
Soy and Isoflavones: Revisiting Their Potential Links to Breast Cancer Risk.

Nutrients. 2025-8-13

本文引用的文献

[1]
Evolutionary histories of breast cancer and related clones.

Nature. 2023-8

[2]
A spatially resolved single-cell genomic atlas of the adult human breast.

Nature. 2023-8

[3]
ERα-associated translocations underlie oncogene amplifications in breast cancer.

Nature. 2023-6

[4]
Preneoplastic stromal cells promote BRCA1-mediated breast tumorigenesis.

Nat Genet. 2023-4

[5]
Loss of Brca1 and Trp53 in adult mouse mammary ductal epithelium results in development of hormone receptor-positive or hormone receptor-negative tumors, depending on inactivation of Rb family proteins.

Breast Cancer Res. 2022-11-4

[6]
Breastfeeding reduces the risk of breast cancer: A call for action in high-income countries with low rates of breastfeeding.

Cancer Med. 2023-2

[7]
Removing unwanted variation from large-scale RNA sequencing data with PRPS.

Nat Biotechnol. 2023-1

[8]
Mapping hormone-regulated cell-cell interaction networks in the human breast at single-cell resolution.

Cell Syst. 2022-8-17

[9]
A human breast atlas integrating single-cell proteomics and transcriptomics.

Dev Cell. 2022-6-6

[10]
Molecular analysis of TCGA breast cancer histologic types.

Cell Genom. 2021-12-8

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