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胶质瘤相关蛋白综述。潜在生物标志物的特征。

A review of gliomas-related proteins. Characteristics of potential biomarkers.

作者信息

Pienkowski Tomasz, Kowalczyk Tomasz, Kretowski Adam, Ciborowski Michal

机构信息

Clinical Research Center, Medical University of Bialystok M. Sklodowskiej-Curie 24a, 15-276 Bialystok, Poland.

出版信息

Am J Cancer Res. 2021 Jul 15;11(7):3425-3444. eCollection 2021.

Abstract

Brain tumors are one of the most commonly diagnosed cancers of the central nervous system. Of all diagnosed malignant tumors, 80% are gliomas. An unequivocal diagnosis of gliomas is not always simple, and there is a great need for research to find new treatment options and diagnostic approaches. This paper is focused on the glioma-related protein profiles as compared to healthy brain tissue, which is reflected in multiple correlations between biological aspects that influence proliferation, apoptosis evasion and the invasiveness of neoplastic cells. The work presents the possibilities of facilitating clinical practice with proteomic biomarkers, which offer a wider diagnostic spectrum and reduce the margin of mistake in histopathological or imaging diagnostic methods. In fact, many changes in the body's homeostasis can be overlooked due to the lack of symptoms or their non-specificity. Nevertheless, a single marker has limited reliability in distinguishing a particular tumor subtype, since the increased or decreased level of the protein of interest may differ between the stages or locations of the tumor. Moreover, the correlations between proposed proteins - presented in this paper - may help clinicians to choose the most optimal therapy, and estimate its effectiveness, or indicate new therapeutic targets affecting disrupted biochemical pathways.

摘要

脑肿瘤是中枢神经系统最常被诊断出的癌症之一。在所有诊断出的恶性肿瘤中,80%是胶质瘤。明确诊断胶质瘤并不总是那么简单,非常需要开展研究以找到新的治疗方案和诊断方法。本文聚焦于与健康脑组织相比的胶质瘤相关蛋白质谱,这体现在影响肿瘤细胞增殖、逃避凋亡和侵袭性的生物学方面的多种相关性上。这项工作展示了利用蛋白质组学生物标志物促进临床实践的可能性,这些生物标志物提供了更广泛的诊断范围,并减少了组织病理学或影像学诊断方法中的错误 margin。事实上,由于缺乏症状或症状不具有特异性,身体内稳态的许多变化可能会被忽视。然而,单一标志物在区分特定肿瘤亚型方面的可靠性有限,因为感兴趣蛋白质水平的升高或降低在肿瘤的不同阶段或位置可能会有所不同。此外,本文提出的蛋白质之间的相关性可能有助于临床医生选择最优化的治疗方法,评估其有效性,或指明影响被破坏生化途径的新治疗靶点。

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