Genetic and Cellular Complexity of Brain Tumors

Karami, Fatemeh; Mehdipour, Parvin

doi:10.1007/978-3-319-64550-6_13

Cited by 3 publications

(4 citation statements)

References 170 publications

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“…It was shown that in spite of the low expression of Ki-67, and high expression of P14 and P63, there was a harmonic co-expression of Ki-67/P14/P63 in majority of cells. 15 Moreover, another triangle protein profile included P53, ATM, and P63 which was indicative of a heterogenic expression pattern in these proteins, but with a harmonic interaction. By considering another profile, the highest expression in proliferating cell nuclear antigen (PCNA) and cyclin D2, and the lowest expression in cyclin E were observable in all types of brain tumors.…”

Section: Discussionmentioning

confidence: 99%

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Diversity in tumor territory of meningioma: Protein expression in vascular endothelial growth factor and epidermal growth factor

Mehdipour

Javan

Faghih-Jouibari

et al. 2019

CJN

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Background: Vascular endothelial growth factor (VEGF) and epidermal growth factor (EGF) are involved in tumor development and progression. But, the classified-based data of protein expression (PE) in meningiomas is unavailable. Therefore, we aimed to explore the PE of VEGF and EGF in meningiomas by considering evolutionary strategy and the regional tumor-based assay. Methods: PE was assayed using immunofluorescence (IF) within the peripheral, central, and basal sections of four meningioma tumors, and a lung metastatic brain tumor as a positive control. Results: Diverse characteristics and harmonic cross-talk in the individual sections and between different tumor sections were traced. The mode of PE was puzzling and personalized issue. Co-expression had a key impact on tumor evolution and diverse PE profiles led to draw the heterogenic classification, as the personalized/complementary insight in the functional behavior of VEGF and EGF. D1853N polymorphism of ATM gene was mosaics in two patients with meningiomas. Conclusion: The classified heterogeneity, harmonic co-expression, and diverse functional information in different regions of tumors may lead to predict the aggressiveness mode of tumors as a translational insight to the clinical managements including therapy in brain tumors.

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Section: Discussionmentioning

confidence: 99%

“…However, high PE of proliferative factor played an important role in the tumor progression in brain tumors including meningioma. 15…”

Section: Discussionmentioning

confidence: 99%

Diversity in tumor territory of meningioma: Protein expression in vascular endothelial growth factor and epidermal growth factor

Mehdipour

Javan

Faghih-Jouibari

et al. 2019

CJN

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“…According to our data, cooperation of CD133/P21/Cyclin E reflects a precise picture of heterogeneity. Besides, positivity of D1853N as a predisposing marker is a warning prognostic factor [15].…”

Section: Protein Expression Mode In Primary and Host Regionsmentioning

confidence: 99%

Metastatic Model of Cerebellar Medulloblastoma Cells to Peritoneal Cavity: Exploration of Circulating Tumor Cells

et al. 2021

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Background: Circulating Tumor Cells (CTCs) are the reliable key for an early detection. The cellbased/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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“…Glioma represents an aggressive form of neurological tumours, which is associated with massive invasion and very poor patient survival. Because glioma is a complex disease with multiple molecular modulations, current treatment options are inadequate to decrease mortality rate and improve life expectancy of patients 71 . Hence, it is vital to investigate novel prognostic indicators for glioma and identify other targets for treating such lethal disease 72 …”

Section: Fam83h‐as1 Dysregulation In Human Cancersmentioning

confidence: 99%

Long non‐coding RNA FAM83H‐AS1 as an emerging marker for diagnosis, prognosis and therapeutic targeting of cancer

El-Ashmawy

Al-Ashmawy

Hamouda

2020

Cell Biochemistry & Function

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Incidence and mortality rates of cancer continue to increase greatly despite the improved diagnostic and therapeutic methods. Based on GLOBOCAN estimates, the numbers of new cancer cases reported in 2018 were ~18.1 million, while the numbers of cancer mortalities were ~9.6 million. It remains difficult to diagnose most cancer patients at early stages. Although cancer therapy market is rapidly evolving, the effectiveness of therapy is still inadequate. Therefore, exploring new biomarkers for diagnosis, prognosis and treatment is essential for cancer management. Long non‐coding RNAs (lncRNAs) are unique regulatory molecules that control several cellular processes and are implicated in diverse human diseases including cancer. LncRNAs could serve as potential biomarkers for cancer patients to aid diagnosis and determine prognosis. In addition, numerous lncRNAs have proved their ability to predict response to cancer treatment. FAM83H antisense RNA 1 (FAM83H‐AS1) is among those highly dysregulated lncRNAs in cancer. FAM83H‐AS1 was demonstrated to participate in the progression of different malignancies and also shown to play a vital role in diagnosis, prognosis and treatment. Here, we analyse recent studies concerning the oncogenic role and molecular mechanisms of lncRNA FAM83H‐AS1 in the following cancer types: bladder, breast, lung, hepatocellular, colorectal, gastric, pancreatic, ovarian, cervical cancer as well as glioma.

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Genetic and Cellular Complexity of Brain Tumors

Cited by 3 publications

References 170 publications

Diversity in tumor territory of meningioma: Protein expression in vascular endothelial growth factor and epidermal growth factor

Diversity in tumor territory of meningioma: Protein expression in vascular endothelial growth factor and epidermal growth factor

Metastatic Model of Cerebellar Medulloblastoma Cells to Peritoneal Cavity: Exploration of Circulating Tumor Cells

Long non‐coding RNA FAM83H‐AS1 as an emerging marker for diagnosis, prognosis and therapeutic targeting of cancer

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