蛋白质组学在卵巢癌中的应用:一个新时代的黎明

IF 4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Proteomes Pub Date : 2022-05-09 DOI:10.3390/proteomes10020016
Aruni Ghose, Srikar Gullapalli, Naila Chohan, A. Bolina, M. Moschetta, E. Rassy, S. Boussios
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引用次数: 51

摘要

在早期阶段识别卵巢癌(OC)的能力仍然是一个挑战。患者在诊断时表现为晚期。这种异质性疾病具有可区分的病因和分子生物学。新一代测序改变了临床诊断测试,允许同时评估多个基因,比顺序单基因分析更快、更便宜。蛋白质组学技术,如质谱(MS)和蛋白质阵列分析,促进了潜在分子信号事件的解剖和OC的蛋白质组学表征。OC的蛋白质组学分析,以及它们对治疗的适应性反应,可以揭示新的治疗选择,这可以减少耐药性的出现,并有可能改善患者的预后。目前迫切需要更好地了解OC内在的基因组和表观基因组异质性是如何在蛋白质水平上反映出来的,以及这些信息如何可能导致延长生存期。
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Applications of Proteomics in Ovarian Cancer: Dawn of a New Era
The ability to identify ovarian cancer (OC) at its earliest stages remains a challenge. The patients present an advanced stage at diagnosis. This heterogeneous disease has distinguishable etiology and molecular biology. Next-generation sequencing changed clinical diagnostic testing, allowing assessment of multiple genes, simultaneously, in a faster and cheaper manner than sequential single gene analysis. Technologies of proteomics, such as mass spectrometry (MS) and protein array analysis, have advanced the dissection of the underlying molecular signaling events and the proteomic characterization of OC. Proteomics analysis of OC, as well as their adaptive responses to therapy, can uncover new therapeutic choices, which can reduce the emergence of drug resistance and potentially improve patient outcomes. There is an urgent need to better understand how the genomic and epigenomic heterogeneity intrinsic to OC is reflected at the protein level, and how this information could potentially lead to prolonged survival.
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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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