Expression of heterogeneous nuclear ribonucleoprotein A2B1 in esophageal cancer tissues and its clinical significance
10.3760/cma.j.cn115355-20230802-00034
- VernacularTitle:食管癌组织中异质性细胞核核糖核蛋白A2B1的表达及临床意义
- Author:
Junwei GE
1
;
Bin XU
;
Junjun CHEN
;
Qiong SHEN
;
Yingting LIU
;
Di LI
;
Xiao ZHENG
;
Lujun CHEN
Author Information
1. 苏州大学附属第三医院肿瘤生物诊疗中心，常州 213003
- Keywords:
Esophageal neoplasms;
Heterogeneous nuclear ribonucleoprotein A2B1;
Prognosis
- From:
Cancer Research and Clinic
2024;36(5):328-334
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the expression of heterogeneous nuclear ribonucleoprotein A2B1 (HNRNPA2B1) in human esophageal cancer tissues and its clinical significance.Methods:Single-cell data for esophageal cancer were downloaded from the Gene Expression Omnibus (GEO) database (GSE160269 dataset, last updated on November 29, 2020) to analyze the expression of HNRNPA2B1. Transcriptional sequencing data for esophageal cancer from The Cancer Genome Atlas (TCGA) database, including the fragments per kilobase of transcript per million mapped reads (FPKM) quantitative data (173 samples, consisting of 162 esophageal cancer tissues and 11 adjacent normal tissues), and survival data in the phenotype category were downloaded. Analysis of FPKM quantitative data from the TCGA database for esophageal cancer was performed. The top 250 genes most correlated with HNRNPA2B1 were selected and the R4.3.0 clusterProfiler package was used to conduct Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses on the selected gene set. FPKM quantitative data from the TCGA database for esophageal cancer were imported into the CIBERSORTx website to obtain immune cell abundance scores, and the correlation between HNRNPA2B1 and the degree of immune cell infiltration was analyzed. The clinicopathological data of patients from esophageal cancer tissue microarrays including 114 cases of esophageal squamous cell carcinoma tissues and 66 cases of adjacent normal tissues were collected. The patients underwent surgery from January 2006 to December 2008, and the follow-up period extended until July 2015. Cytokeratin (CK) and HNRNPA2B1 expression in esophageal cancer tissue microarrays were detected by using multi-color immunohistochemical (mIHC) staining, and multispectral tissue imaging was conducted. The R4.3.0 survival package and survminer package in TCGA database were used to calculate the optimal cut-off value of HNRNPA2B1 expression and the proportion of CK + HNRNPA2B1 + cells in tissue microarrays was used to calculate the cut-off value of HNRNPA2B1 expression based on which patients were categorized into high and low expression groups. The overall survival (OS) of both groups was compared and the factors influencing OS were analyzed by using the Cox proportional hazards model. Results:In the GSE160269 dataset of single-cell data for esophageal cancer, the expression level of HNRNPA2B1 in tumor epithelial cells was higher than that in normal epithelial cells, and HNRNPA2B1 was highly expressed in various immune cell subtypes. The high expression level of HNRNPA2B1 was positively correlated with regulatory T cells, naive B cells and memory CD4 + T cells. GO enrichment analysis revealed that HNRNPA2B1 was primarily involved in the biological process of nuclear division, cellular components were mainly enriched in chromosomal regions, and molecular functions were mainly enriched in ATP hydrolysis activity. KEGG enrichment analysis indicated that HNRNPA2B1 was primarily involved in biological processes such as the cell cycle, spliceosome, and DNA replication. Results from mIHC and multispectral tissue imaging demonstrated that CK was predominantly expressed in the cell membranes of tumor cells and normal esophageal epithelial cells, while HNRNPA2B1 was primarily expressed in the nuclei of tumor cells and normal esophageal cells. The expression level of HNRNPA2B1 in esophageal cancer tissues was higher than that in the normal paracancerous tissues ( U = 2 984.00, P < 0.05). Results of tissue microarrays and the survival analysis on the data in the TCGA database indicated that esophageal cancer patients with low HNRNPA2B1 expression had a better OS compared to those with high expression (both P < 0.05). Cox multivariate regression analysis revealed that age ( HR = 1.919, 95% CI: 1.158-3.182, P = 0.011), TNM stage ( HR = 2.404, 95% CI: 1.374-4.207, P = 0.002), T stage ( HR = 2.349, 95% CI: 1.150-4.789, P = 0.019), and the expression of HNRNPA2B1 in tumor epithelial cells ( HR = 2.160, 95% CI: 1.280-3.647, P = 0.004) were independent factors influencing OS in esophageal cancer patients. Conclusions:The high expression of HNRNPA2B1 protein in esophageal cancer tissues may play a role in the developement and progression of esophageal cancer, serving as a crucial biological indicator for prognostic assessment of esophageal cancer.
