Metastatic Model of Cerebellar Medulloblastoma Cells to Peritoneal Cavity: Exploration of Circulating Tumor Cells
- Authors
-
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P. Mehdipour
Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran-14176- 1315, Iran -
F. Javan
Department of Medical Genetics, School of Medicine, Tehran University of Medical Sciences, Tehran-14176- 1315, Iran -
M. Faghih Jouibari
Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Iran -
M. Khaleghi
Department of Neurosurgery, Shariati Hospital, Tehran University of Medical Sciences, Iran
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- Keywords:
- Circulating tumor cells (CTCs), cerebellar medulloblastoma, peritoneal cavity, protein expression, Somatic/genomic heterogeneity, Metastatic model (MM).
- Abstract
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Background: Circulating Tumor Cells (CTCs) are the reliable key for an early detection. The cell-based/classified/personalized diagnostic approaches are unavailable. Therefore, it was aimed to explore the expression behavior of tumor (T) cells in brain, peritoneal cavity (PC) and genomic level to deliver the hypothetical model through the metastatic events.
Patients and Methods: The focal assay included protein expression (PE) by immunofluorescence in T-cells of cerebellarmeduloblastoma (CM), PC, and CTCs in a metastatic patient. The CCL2, VEGF, EGF, CD133/Cyclin E/ P21/Neuronal marker (NM), and CD45 were explored.
Result: Frequency of T-cells lacking PE and the Ratio of T/CTCs in different sections of CM- tumor cells in brain and the metastatic PC revealed the diverse expression and co-expression of the involved proteins. The poor prognosis is offered upon the value of PE at T/CTCs ratio. High PE and harmonic co-expression played the influential role in the metastatic process and manner of evolution.
Conclusions: Single cell- based analysis of expression and co-expression is the directive channel to unmask the heterogeneity through the metastatic process at genomic and somatic levels for providing the metastatic model. Present findings deliver the somatic/genomic ratio-based prognosis for further clinical managements.
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- Published
- 2021-09-18
- Issue
- Vol. 10 (2021)
- Section
- Articles
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