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脑肿瘤循环细胞的进化模型:细胞星系

Evolutionary model of brain tumor circulating cells: Cellular galaxy.

作者信息

Mehdipour Parvin, Javan Firoozeh, Jouibari Morteza Faghih, Khaleghi Mehdi, Mehrazin Masoud

机构信息

Department of Medical Genetics, Tehran University of Medical Sciences, School of Medicine, Tehran 1417613151, Tehran, Iran.

Department of Neurosurgery, Shariati University Hospital, Tehran 1417613151, Tehran, Iran.

出版信息

World J Clin Oncol. 2021 Jan 24;12(1):13-30. doi: 10.5306/wjco.v12.i1.13.

DOI:10.5306/wjco.v12.i1.13
PMID:33552936
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7829626/
Abstract

BACKGROUND

Although circulating tumor cells (CTCs) have been the focus of consideration for a decade, a categorized cell-based diagnostic strategy is unavailable. The personalized management and complementary/analytical-strategy of data require an alphabetic guide. Therefore, we aimed to determine the behavior of CTCs in tumor and blood in order to provide the hypothetical-based agenda in the brain neoplasms. Exploring the protein expression (PE) using a single cell-based method would clarify the heterogeneity and diversity in tumor and blood, which are key events in the evolution in brain tumors. In fact, heterogeneity, diversity, and evolution are required for cancer initiation and progression.

AIM

To explore CTCs in brain tumors and blood cells and to assay intensity of PE through personalized insight.

METHODS

The focal population included 14 patients with meningioma, and four patients with metastatic brain tumors (T). PE was assayed by immunofluorescence in tumors cells and CTCs in 18 patients with brain tumors. Ratio test was applied between the T cells and CTCs in tumor tissue and in vascular system. T/CTC ratio-based classification of PE in macrophage chemoattractant chemokine ligand 2 (CCL2), vascular endothelial growth factor (VEGF), epidermal growth factor (EGF), CD133, cyclin E, neurofilament marker, cytokeratin 19, and leukocyte common antigen (CD45) were investigated.

RESULTS

Total analyzed cells ranged between 10794-92283 for tumor cells and between 117-2870 for CTCs. Characteristics of histopathologic and status of an ataxia-telangiectasia mutated polymorphism (D1853N) in 18 patients affected with brain tumors were also provided. The course of evolution and metastatic event relied on the elevated protein expression in CTCs, which could be considered as a prognostic value. Diverse protein expression of the migrated cells into the blood stream and the tumor was indicative of the occurrence of evolution. Besides, the harmonic co-expression between CCL2/EGF and CCL2/VEGF could facilitate the tumor progression including the metastatic event. Expression of these proteins in the migrated vasculature and into the buccal tissue offered a non-invasive follow-up detection in neoplastic disorders. PE-exploration of neurofilament marker/CD133/VEGF of the CTCs in meningioma and cytokeratin 19/CD45/ cyclin E in the patients with metastatic brain tumor would clarify the tumor biology of the brain neoplastic disorders.

CONCLUSION

The alphabetical base of the evolutionary mechanisms relies on dual-, triple-, and multi-models with diverse intensity of expression. In fact, cross-talk between initiative and the complementary channels defines the evolutionary insight in cancer. A diverse-model of protein expression, including low, medium, and high intensity, is the key requirement for the completed model. The cluster of cells with diverse expression and remarkable co-expression between CCL2/EGF/VEGF and NM/CD133/VEGF in CTCs may be indicative of probable invasiveness of the tumor. Furthermore, the mode of cytokeratin-19/CD45 can be traced in the metastatic patients.

摘要

背景

尽管循环肿瘤细胞(CTC)已成为十年来的研究热点,但尚未有基于细胞分类的诊断策略。数据的个性化管理以及补充/分析策略需要一个字母指南。因此,我们旨在确定肿瘤和血液中CTC的行为,以便为脑肿瘤提供基于假设的议程。使用单细胞方法探索蛋白质表达(PE)将阐明肿瘤和血液中的异质性和多样性,这是脑肿瘤演变中的关键事件。事实上,异质性、多样性和演变是癌症发生和进展所必需的。

目的

探索脑肿瘤和血细胞中的CTC,并通过个性化洞察分析PE强度。

方法

重点人群包括14例脑膜瘤患者和4例转移性脑肿瘤患者(T)。对18例脑肿瘤患者的肿瘤细胞和CTC进行免疫荧光PE检测。对肿瘤组织和血管系统中的T细胞和CTC进行比率测试。研究基于T/CTC比率对巨噬细胞趋化因子趋化因子配体2(CCL2)、血管内皮生长因子(VEGF)、表皮生长因子(EGF)、CD133、细胞周期蛋白E、神经丝标志物、细胞角蛋白19和白细胞共同抗原(CD45)中PE的分类。

结果

肿瘤细胞分析的细胞总数在10794 - 92283之间,CTC在117 - 2870之间。还提供了18例脑肿瘤患者的组织病理学特征和共济失调毛细血管扩张突变多态性(D1853N)状态。进化过程和转移事件依赖于CTC中蛋白质表达的升高,这可被视为一种预后价值。迁移到血流和肿瘤中的细胞的不同蛋白质表达表明进化的发生。此外,CCL2/EGF和CCL2/VEGF之间的协调共表达可促进肿瘤进展,包括转移事件。这些蛋白质在迁移的脉管系统和颊组织中的表达为肿瘤性疾病提供了非侵入性的随访检测。对脑膜瘤中CTC的神经丝标志物/CD133/VEGF以及转移性脑肿瘤患者中细胞角蛋白19/CD45/细胞周期蛋白E的PE探索将阐明脑肿瘤性疾病的肿瘤生物学。

结论

进化机制的字母基础依赖于具有不同表达强度的双模型、三模型和多模型。事实上,起始通道和补充通道之间的相互作用定义了癌症的进化洞察。包括低、中、高强度的多种蛋白质表达模型是完整模型的关键要求。CTC中具有不同表达且CCL2/EGF/VEGF与NM/CD133/VEGF之间有显著共表达的细胞簇可能表明肿瘤可能具有侵袭性。此外,在转移性患者中可以追踪细胞角蛋白-19/CD45的模式。

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