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基于组学的乳腺癌研究。

Omics-Based Investigations of Breast Cancer.

机构信息

Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Carol I Bvd, No. 20A, 700505 Iasi, Romania.

Biochemistry & Proteomics Laboratories, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY 13699, USA.

出版信息

Molecules. 2023 Jun 14;28(12):4768. doi: 10.3390/molecules28124768.

Abstract

Breast cancer (BC) is characterized by an extensive genotypic and phenotypic heterogeneity. In-depth investigations into the molecular bases of BC phenotypes, carcinogenesis, progression, and metastasis are necessary for accurate diagnoses, prognoses, and therapy assessments in predictive, precision, and personalized oncology. This review discusses both classic as well as several novel omics fields that are involved or should be used in modern BC investigations, which may be integrated as a holistic term, onco-breastomics. Rapid and recent advances in molecular profiling strategies and analytical techniques based on high-throughput sequencing and mass spectrometry (MS) development have generated large-scale multi-omics datasets, mainly emerging from the three "big omics", based on the central dogma of molecular biology: genomics, transcriptomics, and proteomics. Metabolomics-based approaches also reflect the dynamic response of BC cells to genetic modifications. Interactomics promotes a holistic view in BC research by constructing and characterizing protein-protein interaction (PPI) networks that provide a novel hypothesis for the pathophysiological processes involved in BC progression and subtyping. The emergence of new omics- and epiomics-based multidimensional approaches provide opportunities to gain insights into BC heterogeneity and its underlying mechanisms. The three main epiomics fields (epigenomics, epitranscriptomics, and epiproteomics) are focused on the epigenetic DNA changes, RNAs modifications, and posttranslational modifications (PTMs) affecting protein functions for an in-depth understanding of cancer cell proliferation, migration, and invasion. Novel omics fields, such as epichaperomics or epimetabolomics, could investigate the modifications in the interactome induced by stressors and provide PPI changes, as well as in metabolites, as drivers of BC-causing phenotypes. Over the last years, several proteomics-derived omics, such as matrisomics, exosomics, secretomics, kinomics, phosphoproteomics, or immunomics, provided valuable data for a deep understanding of dysregulated pathways in BC cells and their tumor microenvironment (TME) or tumor immune microenvironment (TIMW). Most of these omics datasets are still assessed individually using distinct approches and do not generate the desired and expected global-integrative knowledge with applications in clinical diagnostics. However, several hyphenated omics approaches, such as proteo-genomics, proteo-transcriptomics, and phosphoproteomics-exosomics are useful for the identification of putative BC biomarkers and therapeutic targets. To develop non-invasive diagnostic tests and to discover new biomarkers for BC, classic and novel omics-based strategies allow for significant advances in blood/plasma-based omics. Salivaomics, urinomics, and milkomics appear as integrative omics that may develop a high potential for early and non-invasive diagnoses in BC. Thus, the analysis of the tumor circulome is considered a novel frontier in liquid biopsy. Omics-based investigations have applications in BC modeling, as well as accurate BC classification and subtype characterization. The future in omics-based investigations of BC may be also focused on multi-omics single-cell analyses.

摘要

乳腺癌(BC)的特征是广泛的基因型和表型异质性。深入研究 BC 表型、癌变、进展和转移的分子基础,对于在预测、精准和个性化肿瘤学中进行准确诊断、预后和治疗评估是必要的。本综述讨论了经典的和几个新的组学领域,这些领域涉及或应该用于现代 BC 研究,可以整合为一个整体术语,即肿瘤乳腺组学。基于高通量测序和质谱(MS)发展的分子谱分析策略和分析技术的快速和最近的进展,产生了基于分子生物学中心法则的大规模多组学数据集:基因组学、转录组学和蛋白质组学。基于代谢组学的方法也反映了 BC 细胞对遗传修饰的动态反应。互作组学通过构建和描述蛋白质-蛋白质相互作用(PPI)网络,为 BC 进展和亚分型涉及的病理生理过程提供了新的假说,从而促进了 BC 研究的整体观点。新的基于组学和 epi 组学的多维方法的出现为深入了解 BC 异质性及其潜在机制提供了机会。三个主要的 epi 组学领域(表观基因组学、表观转录组学和表观蛋白质组学)专注于表观遗传 DNA 变化、RNA 修饰和影响蛋白质功能的翻译后修饰(PTMs),以深入了解癌细胞的增殖、迁移和侵袭。新的组学领域,如表观染色质组学或表观代谢组学,可以研究应激诱导的互作组修饰,并提供 PPI 变化以及作为致癌表型驱动因素的代谢物变化。在过去的几年中,几种蛋白质组学衍生的组学,如基质组学、外泌体组学、分泌组学、激酶组学、磷酸化蛋白质组学或免疫组学,为深入了解 BC 细胞及其肿瘤微环境(TME)或肿瘤免疫微环境(TIMW)中失调途径提供了有价值的数据。这些组学数据集大多数仍使用不同的方法进行单独评估,没有生成预期的全局综合知识,也没有在临床诊断中得到应用。然而,几种连接的组学方法,如蛋白质基因组学、蛋白质转录组学和磷酸化蛋白质组学-外泌体组学,对于鉴定潜在的 BC 生物标志物和治疗靶点非常有用。为了开发非侵入性诊断测试并发现 BC 的新生物标志物,经典和新的基于组学的策略在基于血液/血浆的组学中取得了显著进展。唾液组学、尿组学和乳糜微粒组学作为整合组学,可能在 BC 的早期和非侵入性诊断中具有很高的潜力。因此,肿瘤循环组学的分析被认为是液体活检中的一个新前沿。基于组学的 BC 研究在 BC 建模以及 BC 的准确分类和亚型特征化方面具有应用。BC 基于组学研究的未来可能也集中在多组学单细胞分析上。

相似文献

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Omics-Based Investigations of Breast Cancer.基于组学的乳腺癌研究。
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Onco-Multi-OMICS Approach: A New Frontier in Cancer Research.肿瘤多组学方法:癌症研究的新前沿。
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