Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma

Chen,Fang‑Fang; Zhang,Shi‑Rong; Peng,Hao; Chen,Yun‑Zhao; Cui,Xiao‑Bin

doi:10.3892/mmr.2019.10608

Integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma

Authors:
- Fang‑Fang Chen
- Shi‑Rong Zhang
- Hao Peng
- Yun‑Zhao Chen
- Xiao‑Bin Cui
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Affiliations: Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang 832002, P.R. China, Department of Science and Education, The First Affiliated Hospital of Nanyang Medical College, Nanyang, Henan 473000, P.R. China, The People's Hospital of Suzhou National Hi‑Tech District, Suzhou, Jiangsu 215010, P.R. China
Published online on: August 23, 2019 https://doi.org/10.3892/mmr.2019.10608
Pages: 3649-3660
Copyright: © Chen et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

The main purpose of the present study was to recognize the integrative genomics analysis of hub genes and their relationship with prognosis and signaling pathways in esophageal squamous cell carcinoma (ESCC). The mRNA gene expression profile data of GSE38129 were downloaded from the Gene Expression Omnibus database, which included 30 ESCC and 30 normal tissue samples. The differentially expressed genes (DEGs) between ESCC and normal samples were identified using the GEO2R tool. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed to identify the functions and related pathways of the genes. The protein‑protein interaction (PPI) network of these DEGs was constructed with the Search Tool for the Retrieval of Interacting Genes and visualized with a molecular complex detection plug‑in via Cytoscape. The top five important modules were selected from the PPI network. A total of 928 DEGs, including ephrin‑A1 (EFNA1), collagen type IV α1 (COL4A1), C‑X‑C chemokine receptor 2 (CXCR2), adrenoreceptor β2 (ADRB2), P2RY14, BUB1B, cyclin A2 (CCNA2), checkpoint kinase 1 (CHEK1), TTK, pituitary tumor transforming gene 1 (PTTG1) and COL5A1, including 498 upregulated genes, were mainly enriched in the ‘cell cycle’, ‘DNA replication’ and ‘mitotic nuclear division’, whereas 430 downregulated genes were enriched in ‘oxidation‑reduction process’, ‘xenobiotic metabolic process’ and ‘cell‑cell adhesion’. The KEGG analysis revealed that ‘ECM‑receptor interaction’, ‘cell cycle’ and ‘p53 signaling pathway’ were the most relevant pathways. According to the degree of connectivity and adjusted P‑value, eight core genes were selected, among which those with the highest correlation were CHEK1, BUB1B, PTTG1, COL4A1 and CXCR2. Gene Expression Profiling Interactive Analysis in The Cancer Genome Atlas database for overall survival (OS) was applied among these genes and revealed that EFNA1 and COL4A1 were significantly associated with a short OS in 182 patients. Immunohistochemical results revealed that the expression of PTTG1 in esophageal carcinoma tissues was higher than that in normal tissues. Therefore, these genes may serve as crucial predictors for the prognosis of ESCC.

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