Proteomics-Based Identification of Dysregulated Proteins and Biomarker Discovery in Invasive Ductal Carcinoma, the Most Common Breast Cancer Subtype.

IF 4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Anca-Narcisa Neagu, Danielle Whitham, Logan Seymour, Norman Haaker, Isabella Pelkey, Costel C Darie
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引用次数: 0

Abstract

Invasive ductal carcinoma (IDC) is the most common histological subtype of malignant breast cancer (BC), and accounts for 70-80% of all invasive BCs. IDC demonstrates great heterogeneity in clinical and histopathological characteristics, prognoses, treatment strategies, gene expressions, and proteomic profiles. Significant proteomic determinants of the progression from intraductal pre-invasive malignant lesions of the breast, which characterize a ductal carcinoma in situ (DCIS), to IDC, are still poorly identified, validated, and clinically applied. In the era of "6P" medicine, it remains a great challenge to determine which patients should be over-treated versus which need to be actively monitored without aggressive treatment. The major difficulties for designating DCIS to IDC progression may be solved by understanding the integrated genomic, transcriptomic, and proteomic bases of invasion. In this review, we showed that multiple proteomics-based techniques, such as LC-MS/MS, MALDI-ToF MS, SELDI-ToF-MS, MALDI-ToF/ToF MS, MALDI-MSI or MasSpec Pen, applied to in-tissue, off-tissue, BC cell lines and liquid biopsies, improve the diagnosis of IDC, as well as its prognosis and treatment monitoring. Classic proteomics strategies that allow the identification of dysregulated protein expressions, biological processes, and interrelated pathway analyses based on aberrant protein-protein interaction (PPI) networks have been improved to perform non-invasive/minimally invasive biomarker detection of early-stage IDC. Thus, in modern surgical oncology, highly sensitive, rapid, and accurate MS-based detection has been coupled with "proteome point sampling" methods that allow for proteomic profiling by in vivo "proteome point characterization", or by minimal tissue removal, for ex vivo accurate differentiation and delimitation of IDC. For the detection of low-molecular-weight proteins and protein fragments in bodily fluids, LC-MS/MS and MALDI-MS techniques may be coupled to enrich and capture methods which allow for the identification of early-stage IDC protein biomarkers that were previously invisible for MS-based techniques. Moreover, the detection and characterization of protein isoforms, including posttranslational modifications of proteins (PTMs), is also essential to emphasize specific molecular mechanisms, and to assure the early-stage detection of IDC of the breast.

Abstract Image

基于蛋白质组学的浸润性乳腺导管癌(最常见的乳腺癌亚型)中失调蛋白质的鉴定与生物标记物的发现
浸润性导管癌(IDC)是恶性乳腺癌(BC)中最常见的组织学亚型,占所有浸润性BC的70-80%。IDC在临床和组织病理学特征、预后、治疗策略、基因表达和蛋白质组学特征方面表现出很大的异质性。从乳腺导管内浸润前恶性病变(即导管原位癌(DCIS)的特征)发展到 IDC 的重要蛋白质组决定因素仍未得到很好的鉴定、验证和临床应用。在 "6P "医学时代,确定哪些患者应该过度治疗,哪些患者需要积极监测而不进行积极治疗,仍然是一个巨大的挑战。通过了解侵袭的基因组、转录组和蛋白质组的综合基础,可能会解决将 DCIS 诊断为 IDC 进展的主要难题。在这篇综述中,我们展示了多种基于蛋白质组学的技术,如LC-MS/MS、MALDI-ToF MS、SELDI-ToF-MS、MALDI-ToF/ToF MS、MALDI-MSI或MasSpec Pen,这些技术应用于组织内、组织外、BC细胞系和液体活检,可改善IDC的诊断及其预后和治疗监测。经典的蛋白质组学策略可以识别失调的蛋白质表达、生物过程,并根据异常的蛋白质-蛋白质相互作用(PPI)网络进行相互关联的通路分析。因此,在现代肿瘤外科中,基于 MS 的高灵敏度、快速和准确检测已与 "蛋白质组点取样 "方法相结合,通过体内 "蛋白质组点表征 "或最小化组织切除进行蛋白质组分析,从而实现 IDC 的体外准确分化和定界。为了检测体液中的低分子量蛋白质和蛋白质片段,LC-MS/MS 和 MALDI-MS 技术可与富集和捕获方法相结合,从而鉴定出以前 MS 技术无法发现的早期 IDC 蛋白质生物标志物。此外,蛋白质异构体(包括蛋白质翻译后修饰(PTMs))的检测和表征对于强调特定分子机制和确保早期检测乳腺 IDC 也至关重要。
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来源期刊
Proteomes
Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.50
自引率
3.00%
发文量
37
审稿时长
11 weeks
期刊介绍: Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics
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