COL10A1在胃癌中的作用机制及其临床意义  

The Mechanism and Clinical Significance of COL10A1 in Gastric Cancer

作　　者：陈融 姜相君[2] 

机构地区：[1]青岛大学医学部,山东 青岛 [2]青岛市市立医院消化内科,山东 青岛

出　　处：《临床医学进展》2023年第6期10622-10643,共22页Advances in Clinical Medicine

摘　　要：目的:胃癌(gastric cancer, GC)作为最常见的消化道恶性肿瘤,由于早期症状不明显,发现时多为晚期,预后较差。COL10A1过去主要研究其在骨关节疾病中的作用,而近年来更多地关注于该基因在肿瘤中的作用,其可能通过改变肿瘤微环境的成分,发挥促进肿瘤发生、转移等方面的能力,具有成为多种肿瘤诊断标志物或治疗相关靶点的潜力,而其在胃癌中作用的研究较少,本研究目的在于利用生物信息学分析的方法,探究COL10A1在对于胃癌发生、发展中的作用以及在肿瘤诊断、预后预测及胃癌治疗等方面的临床应用价值。方法:收集TCGA数据库中胃癌患者的相关数据,联合GTEx等其他数据库数据,使用R软件中相关R包分析COL10A1在胃癌与普通组织中的表达差异。进而分析COL10A1高低表达组之间的基因表达情况得到差异表达基因,对这些差异表达基因进行功能富集分析(GO, KEGG, GSEA),探究目标基因COL10A1差异表达可能影响的细胞功能、通路。使用Estimate算法对COL10A1高低表达组样本进行打分,然后比较高低表达组之间评分,评估COL10A1的表达差异对细胞外基质的影响。同时使用CIBERSORT算法对COL10A1高低表达组中样本的免疫细胞浸润进行分析,比较高低表达组之间免疫细胞浸润情况的不同,分析COL10A1对于肿瘤组织中的免疫细胞浸润的影响。为探究COL10A1在临床中的作用,首先根据TCGA数据库中临床数据进行生存分析,分析COL10A1对于总生存期、无病生存期的影响,进而对COL10A1表达量及其他常见因素(如年龄、性别、TNM分期、Stage分期等)进行单因素COX分析与多因素COX分析,并构建多因素COX风险比例模型。根据TCIA数据库中数据比较目标基因高低表达组之间免疫治疗效果,并评估COL10A1与常见免疫检查点表达之间表达相关性,探究其与免疫治疗的相关性。通过上述方法探究COL10A1在胃癌中可能参与的机�Objective: Gastric cancer (GC), as the most common malignant tumor of the digestive tract, is often found in the late stage due to its unclear early symptoms and poor prognosis. COL10A1 used to mainly study its role in bone and joint diseases, but in recent years more attention has been paid to the role of this gene in tumors. It may play a role in promoting tumor occurrence, metastasis and other aspects by changing the composition of the tumor microenvironment, and has the potential to become a variety of tumor diagnostic markers or treatment related targets, while there is less re-search on its role in gastric cancer. The purpose of this study is to use bioinformatics analysis methods to explore the role of COL10A1 in the occurrence and development of gastric cancer, as well as its clinical application value in tumor diagnosis, prognosis prediction, and treatment of gas-tric cancer. Method: Collect relevant data of gastric cancer patients in the TCGA database, combined with data from other databases such as GTEx, and analyze the expression difference of COL10A1 between gastric cancer and common tissues using the relevant R package in R software. Further analysis of the gene expression between the high and low expression groups of COL10A1 was con-ducted to identify differentially expressed genes. Functional enrichment analysis (GO, KEGG, GSEA) was performed on these differentially expressed genes to explore the potential cellular functions and pathways affected by the differential expression of the target gene COL10A1;use the Estimate algorithm to score the samples of COL10A1 high and low expression groups, and then compare the scores between the high and low expression groups to evaluate the impact of COL10A1 expression differences on the extracellular matrix. Simultaneously, the CIBERSORT algorithm was used to ana-lyze the immune cell infiltration of samples in the high and low expression groups of COL10A1, compare the differences in immune cell infiltration between the high and low expression groups, and anal

关 键 词：胃癌 基因表达数据库 癌症基因组图谱 X型胶原α1 

分 类 号：R73[医药卫生—肿瘤]