Dynamin 3 overexpression suppresses the proliferation, migration and invasion of cervical cancer cells

Jing Fa1

  • 1Department of Obstetrics and Gynecology, Linyi Cancer Hospital, Linyi, Shandong 276000, P.R. China.

Oncology Letters
|May 24, 2021
PubMed

Insights

Dynamin 3 (DNM3) is downregulated in cervical cancer, acting as a tumor suppressor. Its overexpression inhibits cancer cell proliferation, migration, and invasion, suggesting DNM3 as a potential prognostic biomarker.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biochemistry

Background:

  • Dynamin 3 (DNM3) is recognized for its tumor suppressor role in various cancers.
  • The specific function and mechanism of DNM3 in cervical cancer pathogenesis are not fully understood.

Purpose of the Study:

  • To investigate the role of Dynamin 3 (DNM3) in cervical cancer.
  • To determine if DNM3 expression levels correlate with cervical cancer progression and patient prognosis.

Main Methods:

  • Bioinformatics analysis, immunohistochemistry, and RT-qPCR were used to assess DNM3 expression in cervical tissues and cell lines.
  • DNM3 was overexpressed in cervical cancer cells (SiHa and C33A) using pcDNA3.1 plasmid.
  • Cell proliferation, migration, invasion, and apoptosis were evaluated using CCK-8, colony formation, Transwell assays, flow cytometry, and Western blotting.

Main Results:

  • DNM3 expression was significantly lower in cervical cancer tissues and cell lines compared to normal controls.
  • Low DNM3 expression correlated with higher pathological grading and was associated with improved overall survival rates.
  • Overexpression of DNM3 suppressed cervical cancer cell proliferation, migration, and invasion, while inducing apoptosis.
  • DNM3 overexpression appeared to inhibit cell migration and invasion by downregulating epithelial-mesenchymal transition (EMT).

Conclusions:

  • Dynamin 3 (DNM3) acts as a tumor suppressor in cervical cancer progression.
  • DNM3 may serve as a valuable prognostic biomarker for cervical cancer patients.

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