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分析乳腺癌脂组学及其与疾病进展和治疗相关性的研究进展。

Advances in Analyzing the Breast Cancer Lipidome and Its Relevance to Disease Progression and Treatment.

机构信息

Cancer Biology Graduate Program, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.

Department of Pathology, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA.

出版信息

J Mammary Gland Biol Neoplasia. 2021 Dec;26(4):399-417. doi: 10.1007/s10911-021-09505-3. Epub 2021 Dec 16.

Abstract

Abnormal lipid metabolism is common in breast cancer with the three main subtypes, hormone receptor (HR) positive, human epidermal growth factor 2 (HER2) positive, and triple negative, showing common and distinct lipid dependencies. A growing body of studies identify altered lipid metabolism as impacting breast cancer cell growth and survival, plasticity, drug resistance, and metastasis. Lipids are a class of nonpolar or polar (amphipathic) biomolecules that can be produced in cells via de novo synthesis or acquired from the microenvironment. The three main functions of cellular lipids are as essential components of membranes, signaling molecules, and nutrient storage. The use of mass spectrometry-based lipidomics to analyze the global cellular lipidome has become more prevalent in breast cancer research. In this review, we discuss current lipidomic methodologies, highlight recent breast cancer lipidomic studies and how these findings connect to disease progression and therapeutic development, and the potential use of lipidomics as a diagnostic tool in breast cancer. A better understanding of the breast cancer lipidome and how it changes during drug resistance and tumor progression will allow informed development of diagnostics and novel targeted therapies.

摘要

异常的脂质代谢在乳腺癌的三种主要亚型中很常见,包括激素受体(HR)阳性、人类表皮生长因子 2(HER2)阳性和三阴性,它们表现出共同和独特的脂质依赖性。越来越多的研究表明,改变的脂质代谢会影响乳腺癌细胞的生长和存活、可塑性、耐药性和转移。脂质是一类非极性或极性(两亲性)生物分子,可以通过从头合成在细胞中产生,也可以从微环境中获得。细胞脂质的三个主要功能是作为膜的必需成分、信号分子和营养物质储存。基于质谱的脂质组学分析来分析全局细胞脂质组学在乳腺癌研究中变得越来越普遍。在这篇综述中,我们讨论了当前的脂质组学方法,强调了最近的乳腺癌脂质组学研究,以及这些发现如何与疾病进展和治疗开发相关联,以及脂质组学作为乳腺癌诊断工具的潜在用途。更好地了解乳腺癌的脂质组及其在耐药性和肿瘤进展过程中的变化,将有助于有针对性地开发诊断和新型靶向治疗方法。

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