Abstract

Esophageal squamous cell carcinoma (ESCC) is a life-threatening thoracic tumor with a poor prognosis. The role of molecular alterations and the immune microenvironment in ESCC development has not been fully elucidated. The present study aimed to elucidate key candidate genes and immune cell infiltration characteristics in ESCC by integrated bioinformatics analysis. Nine gene expression datasets from the Gene Expression Omnibus (GEO) database were analysed to identify robust differentially expressed genes (DEGs) using the robust rank aggregation (RRA) algorithm. Functional enrichment analyses showed that the 152 robust DEGs are involved in multiple processes in the tumor microenvironment (TME). Immune cell infiltration analysis based on the 9 normalized GEO microarray datasets was conducted with the CIBERSORT algorithm. The changes in macrophages between ESCC and normal tissues were particularly obvious. In ESCC tissues, M0 and M1 macrophages were increased dramatically, while M2 macrophages were decreased. A robust DEG-based protein–protein interaction (PPI) network was used for hub gene selection with the CytoHubba plugin in Cytoscape. Nine hub genes (CDA, CXCL1, IGFBP3, MMP3, MMP11, PLAU, SERPINE1, SPP1 and VCAN) had high diagnostic efficiency for ESCC according to receiver operating characteristic (ROC) curve analysis. The expression of all hub genes except MMP3 and PLAU was significantly related to macrophage infiltration. Univariate and multivariate regression analyses showed that a 7-gene signature constructed from the robust DEGs was useful for predicting ESCC prognosis. Our results might facilitate the exploration of potential targeted TME therapies and prognostic evaluation in ESCC.

Highlights

  • Esophageal cancer is the seventh most common cancer worldwide, with an estimated 572,034 new cases and 508,585 deaths occurring in 2­ 0181

  • The higher a gene ranked in all the datasets, the greater was the likelihood that it was a differentially expressed genes (DEGs)

  • Almost 50% of all esophageal cancer cases occur in China, and Esophageal squamous cell carcinoma (ESCC) is the most dominant s­ ubtype[14]

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Summary

Introduction

Esophageal cancer is the seventh most common cancer worldwide, with an estimated 572,034 new cases and 508,585 deaths occurring in 2­ 0181. Minimally invasive esophagectomy (MIE), neoadjuvant chemoradiotherapy, targeted therapy and immunotherapy have emerged These multimodal therapeutic advances have shown promising results, but a substantial fraction of patients fail to benefit, and the massive burden in new ESCC cases may continue to increase given population growth and ageing. A group of ESCC-related candidate genes were discovered in previous studies by analyses with public databases and high-throughput platforms such as Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA). Based on TCGA database analysis, a prognostic model constructed from 9 immune-related genes classified patients into two groups with different outcomes, and M0 and M2 macrophages were significantly enriched in the high-risk g­ roup[11].

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