Ning Lou, Xiangui Meng, Tiexi Yu, Weiquan Li, Xin Lv, Weiwei Han, Wen Xiao, Ying Shi
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POP7 mRNA and protein expression were verified by Gene Expression Omnibus (GEO) data, the quantitative real-time polymerase chain reaction (qRT-PCR), and Office of Cancer Clinical Proteomics Research (CPTAC). The diagnostic ability of POP7 mRNA and protein expression was achieved with ROC curves. Gene Set Enrichment Analysis (GSEA) and TiMER2 evaluated pathogenesis role and immune infiltration of POP7in ccRCC.</p><p><strong>Results: </strong>There is a significant difference in expression of POP family in TCGA-pan-cancer, especially in ccRCC. KM survival analysis, univariable and multivariable analysis demonstrated low expression of POP7 and was associated with poor OS and poor DFS. GEO data, the qRT-PCR, and CPTAC verified the high expression of POP7 mRNA and protein in ccRCC. ROC curves verified a valuable diagnostic ability of POP7 in mRNA and protein expression. GSEA demonstrated POP7 was associated with CD8+cells, CD4+cells, natural killer (NK) cells, and helper T (TH1) cells. TiMER2 results indicated POP7 had a positive correlation with T cell regulatory (Tregs) and myeloid-derived suppressor cells (MDSC) in ccRCC and was an immunosuppressor for ccRCC.</p><p><strong>Conclusion: </strong>POP7 was a reliable immunosuppressor, predictor and biomarker for ccRCC.</p>","PeriodicalId":56015,"journal":{"name":"Pharmacogenomics & Personalized Medicine","volume":"17 ","pages":"521-534"},"PeriodicalIF":1.8000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11608043/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prognostic Value and Immunological Role of POP7 in Clear Cell Renal Cell Carcinoma.\",\"authors\":\"Ning Lou, Xiangui Meng, Tiexi Yu, Weiquan Li, Xin Lv, Weiwei Han, Wen Xiao, Ying Shi\",\"doi\":\"10.2147/PGPM.S469247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Studies have found that RNA-binding proteins (RBPs) are participated in the occurrence or development of tumours. However, the role of processing of precursor family (POP family) in clear cell renal cell carcinoma (ccRCC) has not been studied yet. Here, we analyzed the expression and prognostic value of POP family in ccRCC analyzed and subsequently revealed the relationship between POP7 and immune infiltration in ccRCC patients.</p><p><strong>Methods: </strong>POP family expression in cancer and normal tissues was analyzed in Cancer Genome Atlas pan-cancer (TCGA-pan-cancer). Kaplan-Meier (KM) survival analysis, univariable and multivariable analysis demonstrated the survival of ccRCC with POP family in Kidney Clear Cell Carcinoma (TCGA-KIRC). POP7 mRNA and protein expression were verified by Gene Expression Omnibus (GEO) data, the quantitative real-time polymerase chain reaction (qRT-PCR), and Office of Cancer Clinical Proteomics Research (CPTAC). The diagnostic ability of POP7 mRNA and protein expression was achieved with ROC curves. 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引用次数: 0
摘要
背景：研究发现rna结合蛋白（rna binding protein, rbp）参与肿瘤的发生或发展。然而，前体家族（POP家族）加工在透明细胞肾细胞癌（ccRCC）中的作用尚未得到研究。在此，我们分析了POP家族在ccRCC中的表达及其预后价值，分析并随后揭示了POP7与ccRCC患者免疫浸润的关系。方法：在cancer Genome Atlas pan-cancer （TCGA-pan-cancer）中分析POP家族在肿瘤和正常组织中的表达。Kaplan-Meier （KM）生存分析、单变量和多变量分析均证实了POP家族的ccRCC在肾透明细胞癌（TCGA-KIRC）中的生存。通过Gene expression Omnibus （GEO）数据、定量实时聚合酶链反应（qRT-PCR）和癌症临床蛋白质组学研究办公室（Office of Cancer Clinical Proteomics Research， CPTAC）验证POP7 mRNA和蛋白的表达。采用ROC曲线检测POP7 mRNA及蛋白表达情况。基因集富集分析（GSEA）和TiMER2评价了pop7在ccRCC中的发病机制和免疫浸润。结果：POP家族在tcga -泛癌中表达差异有统计学意义，在ccRCC中表达更明显。KM生存分析、单变量和多变量分析均显示POP7低表达，且与不良OS和不良DFS相关。GEO数据、qRT-PCR和CPTAC验证了POP7 mRNA和蛋白在ccRCC中的高表达。ROC曲线证实了POP7在mRNA和蛋白表达方面有价值的诊断能力。GSEA显示POP7与CD8+细胞、CD4+细胞、自然杀伤细胞（NK）和辅助性T细胞（TH1）相关。TiMER2结果显示，POP7与ccRCC中T细胞调节（Tregs）和髓源性抑制细胞（MDSC）呈正相关，是ccRCC的免疫抑制因子。结论：POP7是ccRCC可靠的免疫抑制因子、预测因子和生物标志物。
Prognostic Value and Immunological Role of POP7 in Clear Cell Renal Cell Carcinoma.
Background: Studies have found that RNA-binding proteins (RBPs) are participated in the occurrence or development of tumours. However, the role of processing of precursor family (POP family) in clear cell renal cell carcinoma (ccRCC) has not been studied yet. Here, we analyzed the expression and prognostic value of POP family in ccRCC analyzed and subsequently revealed the relationship between POP7 and immune infiltration in ccRCC patients.
Methods: POP family expression in cancer and normal tissues was analyzed in Cancer Genome Atlas pan-cancer (TCGA-pan-cancer). Kaplan-Meier (KM) survival analysis, univariable and multivariable analysis demonstrated the survival of ccRCC with POP family in Kidney Clear Cell Carcinoma (TCGA-KIRC). POP7 mRNA and protein expression were verified by Gene Expression Omnibus (GEO) data, the quantitative real-time polymerase chain reaction (qRT-PCR), and Office of Cancer Clinical Proteomics Research (CPTAC). The diagnostic ability of POP7 mRNA and protein expression was achieved with ROC curves. Gene Set Enrichment Analysis (GSEA) and TiMER2 evaluated pathogenesis role and immune infiltration of POP7in ccRCC.
Results: There is a significant difference in expression of POP family in TCGA-pan-cancer, especially in ccRCC. KM survival analysis, univariable and multivariable analysis demonstrated low expression of POP7 and was associated with poor OS and poor DFS. GEO data, the qRT-PCR, and CPTAC verified the high expression of POP7 mRNA and protein in ccRCC. ROC curves verified a valuable diagnostic ability of POP7 in mRNA and protein expression. GSEA demonstrated POP7 was associated with CD8+cells, CD4+cells, natural killer (NK) cells, and helper T (TH1) cells. TiMER2 results indicated POP7 had a positive correlation with T cell regulatory (Tregs) and myeloid-derived suppressor cells (MDSC) in ccRCC and was an immunosuppressor for ccRCC.
Conclusion: POP7 was a reliable immunosuppressor, predictor and biomarker for ccRCC.
期刊介绍：
Pharmacogenomics and Personalized Medicine is an international, peer-reviewed, open-access journal characterizing the influence of genotype on pharmacology leading to the development of personalized treatment programs and individualized drug selection for improved safety, efficacy and sustainability.
In particular, emphasis will be given to:
Genomic and proteomic profiling
Genetics and drug metabolism
Targeted drug identification and discovery
Optimizing drug selection & dosage based on patient''s genetic profile
Drug related morbidity & mortality intervention
Advanced disease screening and targeted therapeutic intervention
Genetic based vaccine development
Patient satisfaction and preference
Health economic evaluations
Practical and organizational issues in the development and implementation of personalized medicine programs.
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