MicroRNA-132 cause apoptosis of glioma cells through blockade of the SREBP-1c metabolic pathway related to SIRT1.

Biomed Pharmacother

Medical School of Chinese PLA, Beijing 100853, People's Republic of China; Department of Neurosurgery, Bayi brain hospital affiliated to general hospital of Beijing military of PLA, Beijing 100070, People's Republic of China. Electronic address:

Published: March 2016

Background: The inhibition role of miRNA (microRNA or miR) on cancer signaling pathways has been used to prospective cancer treatment. SIRT1 might promote tumorigenesis in human glioma.

Methods: Here, we investigated whether miR-132 regulate the expression of SIRT1 and its downstream SREBP (Sterol regulatory element-binding protein)-lipogenesis-cholesterogenesis metabolic pathway in human glioma cells. Furthermore, we studied the effect on biology function of glioma cell induced by miR-132.

Results: MiR-132 inhibited SIRT1 and SREBP-1c expression and downregulated their targeted genes, including HMGCR and FASN. MiR-132 suppressed the cell growth, tumorigenicity, the invasion of glioma cells and migration as well as promoted their apoptosis. The pathways associated with cancer progression and tumorigenicity, and induce glioma cell apoptosis has been inhibited by miR-132 involving in a caspase-dependent apoptotic mechanism.

Conclusions: The recovery of miR-132 resulted in caspase-dependent apoptotic death in glioma cells. MiR-132 that was newly discovered represents a newly targeting mechanism in treatment for glioma.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.biopha.2016.01.022DOI Listing

Publication Analysis

Top Keywords

glioma cells
16
metabolic pathway
8
glioma cell
8
caspase-dependent apoptotic
8
glioma
7
mir-132
6
microrna-132 apoptosis
4
apoptosis glioma
4
cells
4
cells blockade
4

Similar Publications

J. Quan and C. Ma, "DNMT1-Mediated Regulating on FBXO32 Promotes the Progression of Glioma Cells Through the Regulation of SKP1 Activity," Environmental Toxicology 39, no.

View Article and Find Full Text PDF

Introduction: Temporo-insular gliomas, rare brain tumors originating from glial cells, comprise about 30% of brain tumors and vary in aggressiveness from grade I to IV. Despite advancements in neuroimaging and surgical techniques, their management remains complex due to their location near critical cognitive areas. Techniques like awake craniotomy have improved outcomes, but tumor heterogeneity and proximity to vital structures pose challenges.

View Article and Find Full Text PDF

(1) Background: Hepatoblastoma and medulloblastoma are two types of pediatric tumors with embryonic origins. Both tumor types can exhibit genetic alterations that affect the β-catenin and Wnt pathways; (2) Materials and Methods: This study used bioinformatics and integrative analysis of multi-omics data at both the tumor and single-cell levels to investigate two distinct pediatric tumors: medulloblastoma and hepatoblastoma; (3) Results: The cross-transcriptome analysis revealed a commonly regulated expression signature between hepatoblastoma and medulloblastoma tumors. Among the commonly upregulated genes, the transcription factor LEF1 was significantly expressed in both tumor types.

View Article and Find Full Text PDF

Understanding the Immune System and Biospecimen-Based Response in Glioblastoma: A Practical Guide to Utilizing Signal Redundancy for Biomarker and Immune Signature Discovery.

Curr Oncol

December 2024

Radiation Oncology Branch, Center for Cancer Research, National Cancer Institute, National Institute of Health, 9000 Rockville Pike, Building 10, CRC, Bethesda, MD 20892, USA.

Glioblastoma (GBM) is a primary central nervous system malignancy with a median survival of 15-20 months. The presence of both intra- and intertumoral heterogeneity limits understanding of biological mechanisms leading to tumor resistance, including immune escape. An attractive field of research to examine treatment resistance are immune signatures composed of cluster of differentiation (CD) markers and cytokines.

View Article and Find Full Text PDF

Background: The wide variability in clinical responses to anti-tumor immunotherapy drives the search for personalized strategies. One of the promising approaches is drug screening using patient-derived models composed of tumor and immune cells. In this regard, the selection of an appropriate in vitro model and the choice of cellular response assay are critical for reliable predictions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!