Interactome analysis of gene expression profiles of cervical cancer reveals dysregulated mitotic gene clusters

Area of Science:

• Oncology
• Molecular Biology
• Genetics

Background:

• Cervical cancer is a major global health concern, primarily caused by HPV infections.
• While progress has been made, the specific oncogenic gene clusters involved in squamous-cell mitosis remain poorly understood.
• Identifying these genes is crucial for developing targeted therapies.

Purpose of the Study:

• To computationally analyze and validate gene expression profiles in cervical cancer tissues.
• To identify and characterize oncogenic gene clusters that regulate mitosis in cervical cancer.
• To explore potential therapeutic targets based on altered gene expression and interactions.

Main Methods:

• Computational analysis of gene expression profiles from cervical cancer tissues.
• Quantitative reverse transcription polymerase chain reaction (qRT-PCR) for validation.
• Gene regulatory network analysis to identify interacting gene clusters and pathways.

Main Results:

• Downregulation of genes associated with muscle contraction and development observed.
• Upregulation of gene clusters synergistically involved in DNA replication, cell cycle progression, and cell division identified.
• Enhanced DNA replication by replicative helicase proteins (MCM family) and DNA polymerases.
• Promotion of cell cycle transitions by kinases, cyclins (CDK1, CCNA2, CCNB2), and transcription factors (TFDP2).
• Mediation of cytokinesis by motor proteins (KIFs) and PRC1.

Conclusions:

• Findings provide a comprehensive interactomic perspective on cervical cancer mitosis.
• Identified gene clusters and proteins represent potential therapeutic targets for cervical cancer treatment.
• This research enhances the understanding of molecular mechanisms underlying cervical cancer progression.