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胃癌中的新型预后生物标志物：CGB5、MKNK2和PAPPA2。

Novel Prognostic Biomarkers in Gastric Cancer: CGB5, MKNK2, and PAPPA2.

作者信息

Qin Min, Liang Zhihai, Qin Heping, Huo Yifang, Wu Qing, Yang Huiying, Tang Guodu

机构信息

The First Clinical Affiliated Hospital of Guangxi Medical University, Nanning, China.

Gastroenterology, Liuzhou People's Hospital, Liuzhou, China.

出版信息

Front Oncol. 2021 Jun 15;11:683582. doi: 10.3389/fonc.2021.683582. eCollection 2021.

DOI:10.3389/fonc.2021.683582
PMID:34222004
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8252917/
Abstract

INTRODUCTION

Gastric cancer is one of the most common malignant tumors of the digestive tract. However, there are no adequate prognostic markers available for this disease. The present study used bioinformatics to identify prognostic markers for gastric cancer that would guide the clinical diagnosis and treatment of this disease.

MATERIALS AND METHODS

Gene expression data and clinical information of gastric cancer patients along with the gene expression data of 30 healthy samples were downloaded from the TCGA database. The initial screening was performed using the WGCNA method combined with the analysis of differentially expressed genes, which was followed by univariate analysis, multivariate COX regression analysis, and Lasso regression analysis for screening the candidate genes and constructing a prognostic model for gastric cancer. Subsequently, immune cell typing was performed using CIBERSORT to analyze the expression of immune cells in each sample. Finally, we performed laboratory validation of the results of our analyses using immunohistochemical analysis.

RESULTS

After five screenings, it was revealed that only three genes fulfilled all the screening requirements. The survival curves generated by the prognostic model revealed that the survival rate of the patients in the high-risk group was significantly lower compared to the patients in the low-risk group (P-value < 0.001). The immune cell component analysis revealed that the three genes were differentially associated with the corresponding immune cells (P-value < 0.05). The results of immunohistochemistry also support our analysis.

CONCLUSION

CGB5, MKNK2, and PAPPA2 may be used as novel prognostic biomarkers for gastric cancer.

摘要

引言

胃癌是消化道最常见的恶性肿瘤之一。然而，目前尚无适用于该疾病的充分预后标志物。本研究利用生物信息学方法来鉴定胃癌的预后标志物，以指导该疾病的临床诊断和治疗。

材料与方法

从TCGA数据库下载胃癌患者的基因表达数据和临床信息以及30份健康样本的基因表达数据。最初使用加权基因共表达网络分析（WGCNA）方法结合差异表达基因分析进行筛选，随后进行单因素分析、多因素COX回归分析和套索回归分析，以筛选候选基因并构建胃癌预后模型。随后，使用CIBERSORT进行免疫细胞分型，以分析每个样本中免疫细胞的表达情况。最后，我们通过免疫组织化学分析对分析结果进行了实验室验证。

结果

经过五次筛选，发现只有三个基因满足所有筛选要求。预后模型生成的生存曲线显示，高危组患者的生存率显著低于低危组患者（P值<0.001）。免疫细胞成分分析显示，这三个基因与相应免疫细胞存在差异关联（P值<0.05）。免疫组织化学结果也支持我们的分析。

结论

CGB5、MKNK2和PAPPA2可能用作胃癌新的预后生物标志物。

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