CENPF Upregulation is Associated with Immunosuppressive Status and Poor Clinical Outcomes in Lung Adenocarcinoma Validated by qRT-PCR


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Abstract

Objective:CENPF-differentially expressed in various types of cancers—is a marker of poor prognosis. However, studies on the impact of CENPF on patient prognosis in lung adenocarcinoma regarding immune infiltration are lacking.

Methods:CENPF expression profiles were analyzed in the GEO and TCGA databases. qRT-PCR was used to verify CENPF mRNA expression in lung adenocarcinoma cell lines. The prognostic value of CENPF was evaluated by combining data from clinical samples in the GEPIA2 and TCGA databases. Metascape and WebGestalt were used for enrichment analysis of gene sets most positively associated with CENPF. Immune cell infiltration score data were retrieved from TCGA and the correlation between CENPF expression and immune cell infiltration was analyzed.

Results:CENPF expression was elevated in 29 types of cancer. CENPF was highly expressed and increased with tumor grade in lung adenocarcinoma. Immunohistochemical and qRT-PCR analyses revealed that CENPF expression was upregulated in lung adenocarcinoma tissues and cells. High expression of CENPF significantly worsened prognoses in patients with multiple malignancies, including lung adenocarcinoma. Results from gene set enrichment analysis indicated significant enrichment of the progesterone-mediated oocyte maturation pathway. Immune infiltration analysis revealed that CD4+ Th2 cell infiltration was significantly higher in the high CENPF expression group.

Conclusion:Upregulation of CENPF expression was related to poor progression-free survival, disease- free survival, and overall survival in patients with lung adenocarcinoma. High expression of CENPF was markedly related to genes associated with the immune checkpoint. Lung adenocarcinoma samples with high CENPF expression had increased CD4+ Th2 cell infiltration. Our findings indicate that CENPF promotes CD4+ Th2 cell infiltration through oncogenic activity and may be used as a biomarker for predicting patient outcomes in lung adenocarcinoma.

About the authors

Zhiyun Xu

Department of Cardiothoracic Surgery,, the Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University

Email: info@benthamscience.net

Dafu Xu

Department of Cardiothoracic Surgery, the Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University,

Email: info@benthamscience.net

Zhenbing You

Department of Cardiothoracic Surgery, the Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University,

Author for correspondence.
Email: info@benthamscience.net

Wenze Tian

Department of Cardiothoracic Surgery,, the Affiliated Huaian No. 1 People's Hospital of Nanjing Medical University,

Author for correspondence.
Email: info@benthamscience.net

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