Tumor microRNA-335 expression is associated with poor prognosis in human glioma

Jian Jiang1, Xiaoyang Sun, Weijie Wang

  • 1Department of Neurosurgery, Huaian First Hospital, Nanjing Medical University, Huaian City, 223300, People's Republic of China.

Insights

MicroRNA-335 (miR-335) is elevated in human gliomas and linked to advanced tumor progression. High miR-335 expression indicates a poorer prognosis and serves as an independent predictor of clinical outcome in glioma patients.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • MicroRNA-335 (miR-335) has a dual role as a tumor suppressor or promoter.
  • Previous in vitro studies suggested miR-335 acts as an oncogene in glioma cell lines.
  • Its expression and clinical significance in human glioma tissues remained undetermined.

Purpose of the Study:

  • To investigate the clinical significance of miR-335 expression in human glioma tissues.
  • To determine the association between miR-335 expression and clinicopathological factors.
  • To evaluate miR-335 as a prognostic marker for glioma patients.

Main Methods:

  • Real-time quantitative RT-PCR was used to measure miR-335 expression in glioma and nonneoplastic brain tissues.
  • Statistical analysis was performed to correlate miR-335 levels with clinicopathological features and patient survival.
  • Survival analysis, including subgroup analysis by WHO grade, was conducted.

Main Results:

  • miR-335 expression was significantly higher in glioma tissues compared to nonneoplastic brain tissues (P < 0.001).
  • High miR-335 expression correlated with higher WHO tumor grade (P = 0.001) and shorter patient survival (P = 0.01).
  • miR-335 was identified as an independent prognostic factor (P = 0.02), particularly in high-grade gliomas (P = 0.002).

Conclusions:

  • miR-335 expression is upregulated in human gliomas and associated with tumor progression.
  • Elevated miR-335 levels predict a worse clinical outcome for glioma patients.
  • miR-335 serves as a novel and independent biomarker for predicting glioma patient prognosis.

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