Abstract

ObjectiveTo investigate the value of CEP55 as a diagnostic marker and independent prognostic factor in lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), and to analyze its co-expression genes and related signaling pathways.MethodsTCGA database and GEO database were used to analyze the expression of CEP55 in LUAD and LUSC compared with normal tissues. The co-expression genes of CEP55 in LUAD and LUSC were excavated by cBioPortal and enriched by KEGG and GO. Establishing Receiver operating characteristic (ROC) curve to evaluate the value of CEP55 as a diagnostic and prognostic factor. The association between CEP55 expression and the clinicopathological features was evaluated using χ2 tests. ROC curves for diagnosis and prognosis detection were constructed. Prognostic values were analyzed by univariate and multivariate Cox regression models.ResultsCompared with normal lung tissues, CEP55 expression was significantly upregulated in both LUAD and LUSC. ROC curve analysis showed that CEP55 could be used as an effective diagnostic target for LUAD (AUC = 0.969) and LUSC (AUC = 0.994). When CEP55 gene was selected as an independent prognostic factor, high expression of CEP55 was more disadvantageous to OS and RFS of LUAD patients (P<0.05), but no significant difference was found in LUSC patients (P>0.05). The number of co-expression genes of CEP55 in LUAD is more than that in LUSC, and is related to cell cycle, DNA replication and P53 signaling pathway.ConclusionCEP55 can be used as a diagnostic marker for LUAD and LUSC, but only as an independent prognostic factor for LUAD rather than LUSC.

Highlights

  • Lung cancer is one of the most common types of cancer

  • Receiver operating characteristic (ROC) curve analysis showed that CEP55 could be used as an effective diagnostic target for lung adenocarcinoma (LUAD) (AUC = 0.969) and lung squamous cell carcinoma (LUSC) (AUC = 0.994)

  • When CEP55 gene was selected as an independent prognostic factor, high expression of CEP55 was more disadvantageous to OS and RFS of LUAD patients (P0.05)

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Summary

Introduction

Lung cancer is one of the most common types of cancer. In 2018, lung cancer accounted for 11.6% of global cancer [1]. Non-small cell lung cancer accounts for more than 80% of total lung cancer, including lung adenocarcinoma (LUAD), lung squamous cell carcinoma (LUSC), and large cell carcinoma (LCLC). Different subtypes have different origin, histological, genetic, and epigenetic changes [3,4]. These differences are closely related to their unique response to treatment [5,6]. The study of different subtypes of diagnostic and prognostic markers can help the implementation of precision treatment and improve patient survival rate

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