ReferenceID 4753

Role of Borneol Induced Autophagy in Enhancing Radiosensitivity of Malignant Glioma

Front Oncol

Glioma is the common primary craniocerebral malignancy with unfavorable prognosis. It is currently treated by surgical resection supplemented by radiotherapy, although the resistance of glioma cells to radiation limits t

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Reference Id
4753
Evidence Id
21343
Core Evidence Id
21343
Source Reference Id
2742
Herb2 Reference Id
HBREF003539
Subject Paper Key
HBIN018727_34917504
Pubmed Id
34917504
Doi
10.3389/fonc.2021.749987
Paper Title
Role of Borneol Induced Autophagy in Enhancing Radiosensitivity of Malignant Glioma
Paper Abstract
Glioma is the common primary craniocerebral malignancy with unfavorable prognosis. It is currently treated by surgical resection supplemented by radiotherapy, although the resistance of glioma cells to radiation limits the therapeutic outcomes. The aim of the present study was to determine the potential radiosensitizing effects of borneol and the underlying mechanisms. We found that borneol administration along with radiotherapy significantly inhibited the growth of primary glioma cells in vitro and in vivo. Furthermore, borneol markedly increased the number of autophagosomes in the glioma cells, which coincided with increased expression of beclin-1 and LC3. And the combination of borneol and radiation exposure significantly decreased the expression levels of HIF-1alpha, mTORC1 and eIF4E. In addition, silencing mTORC1 and eIF4E upregulated Beclin-1 and LC3 and decreased the expression of HIF-1alpha, thereby inhibiting tumor cell proliferation. Our findings suggest that borneol sensitizes glioma cells to radiation by inducing autophagy via inhibition of the mTORC1/eIF4E/HIF-1alpha regulatory axis.
Journal
Front Oncol
Publish Year
2021
Experiment Subject
Experiment Type
Animal & Cell Experiment
Phenotype Related
Craniocerebral Malignancy; Tumor; Glioma
Paper Title Cn
Paper Title En
Role of Borneol Induced Autophagy in Enhancing Radiosensitivity of Malignant Glioma
Bilingual Status
semi_complete