Modeling phenotypes of malignant gliomas

Sampetrean, Oltea; Saya, Hideyuki

doi:10.1111/cas.13351

Cited by 14 publications

(12 citation statements)

References 57 publications

(104 reference statements)

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“…In the present study, the effects of lidocaine on the rat glioma C6 cell line were investigated. Malignant gliomas are primary brain tumors characterized by rapid and invasive growth (35). The standard treatment is based on radical brain tumor surgery, maximally safe radiation and concomitant chemotherapy (36-38).…”

Section: Discussionmentioning

confidence: 99%

Lidocaine induces protective autophagy in rat C6 glioma cell line

et al. 2018

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Malignant glioma is the most common type of brain cancer with poor prognosis. Surgical resection, chemotherapy and radiotherapy are the main therapeutic options; however, in addition to their insufficient efficacy, they are associated with the pain experienced by patients. To relieve pain, local anesthetics, such as lidocaine can be used. In the present study, the effects of lidocaine on the C6 rat glioma cell line were investigated. An MTT assay and Annexin V/propidium iodide analysis indicated the increase in the percentage of apoptotic and necrotic cells in response to lidocaine. Furthermore, light microscopy analysis on the ultrastructural level presented the occurrence of vacuole-like structures associated with autophagy, which was supported by the analysis of autophagy markers (microtubule-associated protein 1A/1B-light chain 3, acridine orange and Beclin-1). Additionally, reorganization of the cytoskeleton was observed following treatment with lidocaine, which serves an important role in the course of autophagy. To determine the nature of autophagy, an inhibitor, bafilomycin A1 was applied. This compound suppressed the fusion of autophagosomes with lysosomes and increased the percentage of apoptotic cells. These results demonstrated that lidocaine may induce cytoprotective autophagy and that manipulation of this process could be an alternative therapeutic strategy in the treatment of cancer.

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Section: Discussionmentioning

confidence: 99%

Lidocaine induces protective autophagy in rat C6 glioma cell line

et al. 2018

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“…Brain tumors arise from a wide variety of cell types, which give rise to tumors with different degrees of malignancy and invasiveness, and can afflict both adults and children [1,2]. Despite the low incidence of these tumors, they are a leading cause of cancer-associated mortality and morbidity, particularly in young adults and children, where they account for about 20 and 30% of cancer deaths, respectively.…”

Section: Introductionmentioning

confidence: 99%

Autophagy in cancers including brain tumors: role of MicroRNAs

et al. 2020

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Autophagy has a crucial role in many cancers, including brain tumors. Several types of endogenous molecules (e.g. microRNAs, AKT, PTEN, p53, EGFR, and NF1) can modulate the process of autophagy. Recently miRNAs (small noncoding RNAs) have been found to play a vital role in the regulation of different cellular and molecular processes, such as autophagy. Deregulation of these molecules is associated with the development and progression of different pathological conditions, including brain tumors. It was found that miRNAs are epigenetic regulators, which influence the level of proteins coded by the targeted mRNAs with any modification of the genetic sequences. It has been revealed that various miRNAs (e.g., miR-7-1-3p, miR-340, miR-17, miR-30a, miR-224-3p, and miR-93), as epigenetic regulators, can modulate autophagy pathways within brain tumors. A deeper understanding of the underlying molecular targets of miRNAs, and their function in autophagy pathways could contribute to the development of new treatment methods for patients with brain tumors. In this review, we summarize the various miRNAs, which are involved in regulating autophagy in brain tumors. Moreover, we highlight the role of miRNAs in autophagy-related pathways in different cancers.

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Section: Introductionmentioning

confidence: 99%

“…Glioma is one of the most common primary tumors in brain and it accounts for the majority of central nervous system oncology cases in adults globally in 2016 ( 1 ). In general, glioma infiltrates into the brain and affects the cerebral hemispheres of patients ( 1 ). Though aggressive therapies including surgery, chemotherapy, and radiotherapy have been developed and applied widely, glioma remains associated with high recurrence rates and there are no efficient treatment options ( 2 ).…”

Section: Introductionmentioning

confidence: 99%

Risk assessment model constructed by differentially expressed lncRNAs for the prognosis of glioma

Zhou

Liu

et al. 2018

Oncol Rep

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A risk assessment model was constructed using differentially expressed long non-coding (lnc)RNAs for the prognosis of glioma. Transcriptome sequencing of the lncRNAs and mRNAs from glioma samples were obtained from the TCGA database. The samples were divided into bad and good prognosis groups based on survival time, then differently expressed lncRNAs between these two groups were screened using DEseq and edgeR packages. Multivariate Cox regression analysis was performed to establish a risk assessment system according to the weighted regression coefficient of lncRNA expression. Survival analysis and receiver operating characteristic curve were conducted for the risk assessment model. Furthermore, the co-expression network of the screened lncRNAs was constructed, followed by the functional enrichment analysis for associated genes. A total of 117 lncRNAs were screened using edgeR and DEseq packages. Among all differently expressed lncRNAs, five lncRNAs (RP3-503A6, LINC00940, RP11-453M23, AC009411 and CDRT7) were identified to establish the risk assessment model. The risk assessment model demonstrated a good prognostic function with high area under the curve values in the training, validation and entire sets. The risk score was certified as an independent prognostic factor for gliomas. Multiple genes were screened to be co-expressed with these five lncRNAs. Functional enrichment analysis demonstrated that they were involved in cytoskeleton, adhesion and Janus kinase/signal transducer and activator of transcription signaling pathway-associated processes. The present study established a risk assessment model integrating five significantly different expressed lncRNAs, which may help to assess the prognosis of patients with glioma with increased accuracy.

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Modeling phenotypes of malignant gliomas

Cited by 14 publications

References 57 publications

Lidocaine induces protective autophagy in rat C6 glioma cell line

Lidocaine induces protective autophagy in rat C6 glioma cell line

Autophagy in cancers including brain tumors: role of MicroRNAs

Risk assessment model constructed by differentially expressed lncRNAs for the prognosis of glioma

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