Comprehensive analysis pinpoints CCNA2 as a prognostic and immunological biomarker in non-small cell lung cancer

  • 0Department of Thoracic Surgery, Weifang Second People's Hospital, Weifang, Shandong Province, 261041, PR China.

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Summary

This summary is machine-generated.

Cyclin-A2 (CCNA2) is highly expressed in non-small cell lung cancer (NSCLC), correlating with disease progression. This study suggests CCNA2 could be a valuable biomarker for NSCLC diagnosis and prognosis.

Area Of Science

  • Oncology
  • Molecular Biology
  • Genomics

Background

  • Lung cancer remains a significant global health challenge with suboptimal survival rates despite advanced therapies.
  • The role of Cyclin-A2 (CCNA2) in non-small cell lung cancer (NSCLC) tumorigenesis is not well-defined.
  • CCNA2 is known to be upregulated in various cancer types, suggesting a potential role in cancer development.

Purpose Of The Study

  • To investigate the expression, prognostic value, and biological function of CCNA2 in NSCLC.
  • To determine if CCNA2 can serve as a diagnostic or prognostic biomarker for NSCLC.
  • To explore the correlation between CCNA2 expression and immune cell infiltration in NSCLC.

Main Methods

  • Analysis of three Gene Expression Omnibus (GEO) microarray datasets to identify differentially expressed genes in NSCLC.
  • Construction of a protein-protein interaction (PPI) network to identify hub genes, including CCNA2.
  • Validation of CCNA2 expression and prognostic significance using GEPIA, Kaplan-Meier plotter, Human Protein Atlas, UALCAN, qRT-PCR, and immunohistochemistry (IHC).
  • Loss-of-function assays and exploration of immune infiltration and single-cell sequencing data.

Main Results

  • CCNA2 was found to be significantly upregulated in NSCLC tissues compared to normal tissues.
  • High CCNA2 expression correlated with advanced pathological stages and lymph node metastasis.
  • CCNA2 demonstrated high diagnostic accuracy, indicated by a significant area under the curve (AUC).
  • CCNA2 expression was associated with increased immune cell infiltration, particularly in Tprolif cells.

Conclusions

  • CCNA2 is upregulated in NSCLC and its expression is significantly correlated with key clinicopathological characteristics.
  • CCNA2 holds promise as a potential biomarker for both diagnosis and prognosis in NSCLC patients.
  • Further research into CCNA2's role in immune modulation within the tumor microenvironment is warranted.