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与细胞焦亡相关的风险基因载脂蛋白B mRNA编辑酶催化多肽样3D(APOBEC3D)、肿瘤坏死因子受体超家族成员14(TNFRSF14)和RAC家族小GTP酶2(RAC2)被用于评估乳腺癌的预后并作为肿瘤抑制基因。

The Pyroptosis-Related Risk Genes APOBEC3D, TNFRSF14, and RAC2 Were Used to Evaluate Prognosis and as Tumor Suppressor Genes in Breast Cancer.

作者信息

Chen Qian, Jun He, Yang ChengGuang, Yang Feng, Xu YingJie

机构信息

General Surgery, Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.

General Surgery, The Third Affiliated Hospital of Naval Military Medical University, Shanghai, China.

出版信息

J Oncol. 2022 Aug 25;2022:3625790. doi: 10.1155/2022/3625790. eCollection 2022.

Abstract

BACKGROUND

Pyroptosis is a type of cell death that plays an important role in predicting prognosis and immunoregulation in cancers. However, the pyroptosis-related gene signature for prognosis and immune infiltration prediction has not been studied in breast cancer (BC).

METHODS

The Gene Expression Omnibus (GEO) and Cancer Genome Atlas (TCGA) databases were used to obtain the expression and clinical data of genes. 52 pyroptosis-related genes were obtained from TCGA-BC and estimated differentially expressed genes by the limma program. To categorize the molecular subtypes of pyroptosis-related genes, the ConsensusClusterPlus tool was utilized. Cox and Lasso regression analyses were used to create a signature. TCGA-BC dataset as the training set and the GSE37751 test set for risk research. Gene set enrichment analysis (GSEA) was used to conduct KEGG and GO studies of subtype groups. We also used the ssGSEA approach in the GSVA package to calculate the risk score of immune cells. Finally, pyroptosis-related genes in BC were validated using qPCR and immunohistochemical assays. Clone formation and EDU assays were used to explore the ability of signature genes to regulate the proliferation of BC cells.

RESULTS

Based on pyroptosis-related genes, the C1 and C2 subtypes were obtained. Survival analysis results showed that the C2 group had a better prognosis. Then, a three-gene signature (APOBEC3D, TNFRSF14, and RAC2) were created by Lasso regression analysis, which had a good prediction effect in the TCGA-BC and GSE37751 datasets. Our nomogram has a fair degree of accuracy in predicting the survival rates of BC patients. The pyroptosis-related signature has a good predictive effect in evaluating the tumour microenvironment score, 28 types of immune cells and response to immune checkpoint therapy. Finally, qPCR and immunohistochemistry staining results indicated that APOBEC3D, TNFRSF14, and RAC2 expression in BC tissues was low. The results of clone formation and EdU assays showed that high expression of signature genes inhibited the proliferation ability of BC cells.

CONCLUSIONS

Based on pyroptosis-related genes (APOBEC3D, TNFRSF14, and RAC2), we built a novel prognostic molecular model for BC that might be used to assess prognostic risk and immune infiltration in BC patients. These signature genes are also tumor suppressor genes and may serve as potential targets for BC.

摘要

背景

细胞焦亡是一种细胞死亡类型,在预测癌症预后和免疫调节中发挥重要作用。然而,尚未在乳腺癌(BC)中研究用于预后和免疫浸润预测的细胞焦亡相关基因特征。

方法

使用基因表达综合数据库(GEO)和癌症基因组图谱(TCGA)数据库获取基因的表达和临床数据。从TCGA-BC中获得52个细胞焦亡相关基因,并通过limma程序估计差异表达基因。为了对细胞焦亡相关基因的分子亚型进行分类,使用了ConsensusClusterPlus工具。采用Cox和Lasso回归分析创建一个特征。将TCGA-BC数据集作为训练集,GSE37751测试集用于风险研究。使用基因集富集分析(GSEA)对亚型组进行KEGG和GO研究。我们还使用GSVA包中的ssGSEA方法计算免疫细胞的风险评分。最后,使用qPCR和免疫组织化学检测验证BC中细胞焦亡相关基因。采用克隆形成和EDU检测来探索特征基因调节BC细胞增殖的能力。

结果

基于细胞焦亡相关基因,获得了C1和C2亚型。生存分析结果表明,C2组预后较好。然后,通过Lasso回归分析创建了一个三基因特征(载脂蛋白B mRNA编辑酶催化多肽样3D(APOBEC3D)、肿瘤坏死因子受体超家族成员14(TNFRSF14)和RAC家族小GTP酶2(RAC2)),其在TCGA-BC和GSE37751数据集中具有良好的预测效果。我们的列线图在预测BC患者生存率方面具有相当程度的准确性。细胞焦亡相关特征在评估肿瘤微环境评分、28种免疫细胞和免疫检查点治疗反应方面具有良好的预测效果。最后,qPCR和免疫组织化学染色结果表明,BC组织中APOBEC3D、TNFRSF14和RAC2表达较低。克隆形成和EdU检测结果表明,特征基因的高表达抑制了BC细胞的增殖能力。

结论

基于细胞焦亡相关基因(APOBEC3D、TNFRSF14和RAC2),我们构建了一种新的BC预后分子模型,可用于评估BC患者的预后风险和免疫浸润。这些特征基因也是肿瘤抑制基因,可能成为BC的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf73/9436599/893b2ee9425f/JO2022-3625790.003.jpg

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