Omics-Based Investigations of Breast Cancer

被引:25
|
作者
Neagu, Anca-Narcisa [1 ]
Whitham, Danielle [2 ]
Bruno, Pathea [2 ]
Morrissiey, Hailey [2 ]
Darie, Celeste A. A. [2 ]
Darie, Costel C. C. [2 ]
机构
[1] Alexandru Ioan Cuza Univ, Fac Biol, Lab Anim Histol, Carol I Bvd 20A, Iasi 700505, Romania
[2] Clarkson Univ, Dept Chem & Biomol Sci, Biochem & Prote Labs, 8 Clarkson Ave, Potsdam, NY 13699 USA
来源
MOLECULES | 2023年 / 28卷 / 12期
基金
美国国家卫生研究院;
关键词
breast cancer (BC); genomics; transcriptomics; proteomics; metabolomics; new omics; onco-breastomics; NIPPLE ASPIRATE FLUID; INVASIVE DUCTAL CARCINOMA; GENOME-WIDE ASSOCIATION; BREAKPOINT JTB PROTEIN; SINGLE-CELL ANALYSIS; MESSENGER-RNA; PROTEOMIC ANALYSIS; POTENTIAL BIOMARKERS; MOLECULAR-MECHANISMS; BIOLOGICAL SUBTYPES;
D O I
10.3390/molecules28124768
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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.
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页数:41
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