CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Comprehensive analysis of peroxisome proliferator-activated receptors to predict the drug resistance, immune microenvironment, and prognosis in stomach adenocarcinomas.
Comprehensive analysis of peroxisome proliferator-activated receptors to predict the drug resistance, immune microenvironment, and prognosis in stomach adenocarcinomas.
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目前的结果证实,三个 PPAR 基因(PPARA、PPARD 和 PPARG)通过介导免疫微环境和基因组突变影响 STAD 的发展。
过氧化物酶体增殖物激活受体(PPARs)在胃腺癌(STAD)的发生和进展中发挥多种功能。本研究分析了PPARs与STAD免疫状态、分子突变及药物治疗之间的关系。
从癌症基因组图谱(TCGA)数据集中下载了三个 PPAR 基因(PPARA、PPARD 和 PPARG)的表达谱,以分析它们在泛癌中的表达模式。还探讨了 PPARs 与临床病理特征、预后、肿瘤微环境、基因组突变和药物敏感性之间的关联。使用 Pearson 分析计算两个 PPAR 基因之间的共表达。使用基因集变异分析(GSVA)包对 PPARs 的调控通路进行评分。进行定量实时聚合酶链反应(qRT-PCR)、Western blot、CCK-8(CCK-8)测定和 transwell 测定,以分析 PPAR 基因在 STAD 细胞系(AGS 和 SGC7901 细胞)中的表达和功能。
与TCGA中大多数32种癌症类型相比,PPARA、PPARD和PPARG在STAD样本和细胞系中表达更为异常。在STAD中,PPARD在Grade 3+4和男性患者中表达更高,而PPARG在Grade 3+4和年龄>60岁的患者中表达更高。高PPARA表达组患者倾向于有更长的生存时间。共表达分析揭示了6个基因在STAD中与三个PPAR基因显著相关。单样本GSEA(ssGSEA)显示,三个PPAR基因富集于23条通路,包括MITOTIC_SPINDLE、MYC_TARGETS_V1、E2F_TARGETS,并与免疫细胞密切相关,包括NK_cells_resting、T_cells_CD4_memory_resting和macrophages_M0。免疫检查点基因(CD274、SIGLEC15)在高PPAR表达组和低PPAR表达组之间异常表达。TTN、MUC16、FAT2和ANK3基因在高PPARA/PPARG和低PPARA/PPARG表达组中均具有高突变频率。分别鉴定出十四种和两种PPARA/PPARD药物能够有效治疗高PPARA/PPARG和低PPARA/PPARG表达组患者。我们还发现化疗药物Vinorelbine与三个PPAR基因呈正相关,显示Vinorelbine有潜力作为STAD的治疗药物。此外,细胞实验证明PPARG在AGS和SGC7901细胞中表达更高,并且抑制PPARG可抑制AGS和SGC7901细胞的活力、迁移和侵袭。
Peroxisome proliferator-activated receptors (PPARs) exert multiple functions in the initiation and progression of stomach adenocarcinomas (STAD). This study analyzed the relationship between PPARs and the immune status, molecular mutations, and drug therapy in STAD.
The expression profiles of three PPAR genes (PPARA, PPARD and PPARG) were downloaded from The Cancer Genome Atlas (TCGA) dataset to analyze their expression patterns across pan-cancer. The associations between PPARs and clinicopathologic features, prognosis, tumor microenvironment, genome mutation and drug sensitivity were also explored. Co-expression between two PPAR genes was calculated using Pearson analysis. Regulatory pathways of PPARs were scored using gene set variation analysis (GSVA) package. Quantitative real-time polymerase chain reaction (qRT-PCR), Western blot, Cell Counting Kit-8 (CCK-8) assay and transwell assay were conducted to analyze the expression and function of the PPAR genes in STAD cell lines (AGS and SGC7901 cells).
PPARA, PPARD and PPARG were more abnormally expressed in STAD samples and cell lines when compared to most of 32 type cancers in TCGA. In STAD, the expression of PPARD was higher in Grade 3+4 and male patients, while that of PPARG was higher in patient with Grade 3+4 and age > 60. Patients in high-PPARA expression group tended to have longer survival time. Co-expression analysis revealed 6 genes significantly correlated with the three PPAR genes in STAD. Single-sample GSEA (ssGSEA) showed that the three PPAR genes were enriched in 23 pathways, including MITOTIC_SPINDLE, MYC_TARGETS_V1, E2F_TARGETS and were closely correlated with immune cells, including NK_cells_resting, T_cells_CD4_memory_resting, and macrophages_M0. Immune checkpoint genes (CD274, SIGLEC15) were abnormally expressed between high-PPAR expression and low-PPAR expression groups. TTN, MUC16, FAT2 and ANK3 genes had a high mutation frequency in both high-PPARA/PPARG and low-PPARA/PPARG expression group. Fourteen and two PPARA/PPARD drugs were identified to be able to effectively treat patients in high-PPARA/PPARG and low-PPARA/PPARG expression groups, respectively. We also found that the chemotherapy drug Vinorelbine was positively correlated with the three PPAR genes, showing the potential of Vinorelbine to serve as a treatment drug for STAD. Furthermore, cell experiments demonstrated that PPARG had higher expression in AGS and SGC7901 cells, and that inhibiting PPARG suppressed the viability, migration and invasion of AGS and SGC7901 cells.
The current results confirmed that the three PPAR genes (PPARA, PPARD and PPARG) affected STAD development through mediating immune microenvironment and genome mutation.
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