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Analysis of functional hub genes identifies CDC45 as an oncogene in non-small cell lung cancer - a short report

Jianbing Huang1, Yuan Li1, Zhiliang Lu1

  • 1Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.

Cellular Oncology (Dordrecht, Netherlands)
|March 20, 2019
PubMed
Abstract

Insights

Hub genes like CDC45 play a key role in non-small cell lung cancer (NSCLC) development. Targeting CDC45 shows promise for new NSCLC therapies by inhibiting tumor cell proliferation.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genomics

Background:

  • Hub genes are crucial for targeted cancer therapy.
  • Limited understanding of hub gene roles in non-small cell lung cancer (NSCLC) development exists.
  • This study investigates the clinical and functional significance of hub genes in NSCLC.

Purpose of the Study:

  • To identify and analyze hub genes involved in NSCLC pathogenesis.
  • To evaluate the therapeutic potential of identified hub genes in NSCLC.

Main Methods:

  • Weighted gene co-expression network analysis (WGCNA) of transcriptomic data from normal, pre-cancer, and cancer tissues.
  • In vitro and in vivo knockdown assays for functional validation of candidate hub genes.
  • Gene enrichment analysis to understand module functions.

Main Results:

  • Identified 14 gene networks linked to NSCLC; turquoise and green modules showed significant positive and negative correlations with tumorigenesis, respectively.
  • Turquoise module genes (e.g., CDC45, CDCA5, GINS2, RAD51, TROAP) showed increased expression during tumorigenesis.
  • Green module genes (e.g., MAGI2-AS3, RBMS3) decreased during tumorigenesis.
  • Knockdown of CDC45 inhibited NSCLC cell proliferation and induced G2/M cell cycle arrest, confirming its oncogenic role.

Conclusions:

  • Hub gene CDC45 is identified as a potential therapeutic target for NSCLC.
  • Gene co-expression network analysis combined with functional studies provides a robust approach to identify cancer targets.
Keywords:
CDC45Hub genesNon-small cell lung cancerTherapeutic targetsTumorigenesisWGCNA

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