Identification of hub genes predicting sensitivity to neoadjuvant chemoradiation in locally advanced rectal cancer

鉴定预测局部晚期直肠癌新辅助放化疗敏感性的关键基因

阅读:1

Abstract

BACKGROUND: Preoperative neoadjuvant chemoradiation (NACR) benefits disease control in most locally advanced rectal cancer (LARC) patients. However, effective biomarkers predicting response to NACR are still not accessible. This study aimed to find potential biomarkers to assess therapy response and susceptibility to LARC. MATERIALS AND METHODS: Differentially expressed genes (DEGs) between NACR-sensitive and resistant patients were screened using GEO database. STRING and Cytoscape were utilized to construct PPI networks and identify hub genes. Based on CIBERSORT, TCGA, GTEx, GSEA and ROC curves, the connections between hub genes and specific signaling pathways, immune cell infiltration, prognosis value and miRNA-transcription factor (TF)-target network were investigated. Human Protein Atlas (HPA) database was used to visualize hub gene expression in clinical samples. RESULTS: We identified 2619 up- and 2466 down-regulated genes between NACR-sensitive and resistant patients. The up-regulated DEGs were searched for highly expressed genes in the NACR-resistant, TCGA and GTEx-related datasets compared to the NACR-sensitive group, yielding six hub genes (RRM2, HNRNPL, EZH2, METTL1, NHP2L1 and ASF1B). ROC curves demonstrated the predictive utility of the six genes in NACR sensitivity. Immune infiltration research revealed no significant relationship between NACR sensitivity and immune cell infiltration extent. The miRNA-TF-target network of hub genes was established. Finally, HPA database results showed that six genes were expressed at variable levels in rectal cancer patients. CONCLUSIONS: This study identified six hub genes (RRM2, HNRNPL, EZH2, METTL1, NHP2L1 and ASF1B) up-regulated in LARC and valuable for predicting patient susceptibility and response to NACR.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。