Yang Liu, Yan-Song Han, Jin-Feng Wang, Zhong-Qi Pang, Jian-She Wang, Lu Zhang, Jia-Xin He, Lin-Kun Shen, Bo Ji, Bei-Chen Ding, Ming-Hua Ren
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The risk model was constructed based on IRGs by applying LASSO Cox regression and exploring the relationship between the risk score and prognosis, gene mutations, and immune escape in BC patients.</p><p><strong>Results: </strong>We identified 4 survival-related genes (PSMC1, RAC3, ROBO2 and ITGB3) among 6,196 IRGs in both the TCGA and GES13507 datasets,, which were used to establish a gene risk model by applying LASSO Cox regression. The results showed that the high-risk (HR) group was closely associated with poor survival or advanced pathological stage of BC. Furthermore, the risk score was found to be an independent risk factor for prognosis of BC patients. In addition, high-risk individuals showed a greater prevalence of TP53 mutations lower CD8+ T-cell and NK cell infiltration, higher Treg cell infiltration, higher expression of PD-L1, and higher immune exclusion scores than those in the low-risk (LR) group. Finally, the experimental verification shows that the model construction gene, especially PMSC1, plays an important role in the growth and metastasis of bladder cancer.</p><p><strong>Conclusions: </strong>These evidences revealed the vital role of IRGs in predicting prognosis, TP53 mutation and immune escape in BC patients.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new immune-related gene signature predicts the prognosis and immune escape of bladder cancer.\",\"authors\":\"Yang Liu, Yan-Song Han, Jin-Feng Wang, Zhong-Qi Pang, Jian-She Wang, Lu Zhang, Jia-Xin He, Lin-Kun Shen, Bo Ji, Bei-Chen Ding, Ming-Hua Ren\",\"doi\":\"10.3233/CBM-230190\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The biological roles of immune-related genes (IRGs) in bladder cancer (BC) need to be further elucidated.</p><p><strong>Objective: </strong>To elucidate the predictive value of IRGs for prognosis and immune escape in BC.</p><p><strong>Methods: </strong>We comprehensively analyzed the transcriptomic and clinical information of 430 cases, including 19 normal and 411 BC patients from the TCGA database, and verified 165 BC cases in the GSE13507 dataset. The risk model was constructed based on IRGs by applying LASSO Cox regression and exploring the relationship between the risk score and prognosis, gene mutations, and immune escape in BC patients.</p><p><strong>Results: </strong>We identified 4 survival-related genes (PSMC1, RAC3, ROBO2 and ITGB3) among 6,196 IRGs in both the TCGA and GES13507 datasets,, which were used to establish a gene risk model by applying LASSO Cox regression. The results showed that the high-risk (HR) group was closely associated with poor survival or advanced pathological stage of BC. Furthermore, the risk score was found to be an independent risk factor for prognosis of BC patients. In addition, high-risk individuals showed a greater prevalence of TP53 mutations lower CD8+ T-cell and NK cell infiltration, higher Treg cell infiltration, higher expression of PD-L1, and higher immune exclusion scores than those in the low-risk (LR) group. Finally, the experimental verification shows that the model construction gene, especially PMSC1, plays an important role in the growth and metastasis of bladder cancer.</p><p><strong>Conclusions: </strong>These evidences revealed the vital role of IRGs in predicting prognosis, TP53 mutation and immune escape in BC patients.</p>\",\"PeriodicalId\":2,\"journal\":{\"name\":\"ACS Applied Bio Materials\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS Applied Bio Materials\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3233/CBM-230190\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, BIOMATERIALS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3233/CBM-230190","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
摘要
背景:免疫相关基因(IRG)在膀胱癌(BC)中的生物学作用需要进一步阐明:免疫相关基因(IRGs)在膀胱癌(BC)中的生物学作用需要进一步阐明:目的:阐明IRGs对膀胱癌预后和免疫逃逸的预测价值:我们全面分析了 TCGA 数据库中包括 19 例正常人和 411 例 BC 患者在内的 430 例病例的转录组和临床信息,并在 GSE13507 数据集中验证了 165 例 BC 病例。通过应用LASSO Cox回归,构建了基于IRGs的风险模型,并探讨了风险评分与BC患者预后、基因突变和免疫逃逸之间的关系:在TCGA和GES13507数据集中的6196个IRGs中,我们发现了4个与生存相关的基因(PSMC1、RAC3、ROBO2和ITGB3),并应用LASSO Cox回归建立了基因风险模型。结果显示,高风险(HR)组与 BC 的生存率低或病理分期晚期密切相关。此外,还发现风险评分是影响 BC 患者预后的一个独立风险因素。此外,与低危(LR)组相比,高危组患者的TP53突变发生率更高,CD8+ T细胞和NK细胞浸润率更低,Treg细胞浸润率更高,PD-L1表达量更高,免疫排斥评分更高。最后,实验验证表明,模型构建基因,尤其是 PMSC1,在膀胱癌的生长和转移中发挥着重要作用:这些证据揭示了IRGs在预测膀胱癌患者的预后、TP53突变和免疫逃逸方面的重要作用。
A new immune-related gene signature predicts the prognosis and immune escape of bladder cancer.
Background: The biological roles of immune-related genes (IRGs) in bladder cancer (BC) need to be further elucidated.
Objective: To elucidate the predictive value of IRGs for prognosis and immune escape in BC.
Methods: We comprehensively analyzed the transcriptomic and clinical information of 430 cases, including 19 normal and 411 BC patients from the TCGA database, and verified 165 BC cases in the GSE13507 dataset. The risk model was constructed based on IRGs by applying LASSO Cox regression and exploring the relationship between the risk score and prognosis, gene mutations, and immune escape in BC patients.
Results: We identified 4 survival-related genes (PSMC1, RAC3, ROBO2 and ITGB3) among 6,196 IRGs in both the TCGA and GES13507 datasets,, which were used to establish a gene risk model by applying LASSO Cox regression. The results showed that the high-risk (HR) group was closely associated with poor survival or advanced pathological stage of BC. Furthermore, the risk score was found to be an independent risk factor for prognosis of BC patients. In addition, high-risk individuals showed a greater prevalence of TP53 mutations lower CD8+ T-cell and NK cell infiltration, higher Treg cell infiltration, higher expression of PD-L1, and higher immune exclusion scores than those in the low-risk (LR) group. Finally, the experimental verification shows that the model construction gene, especially PMSC1, plays an important role in the growth and metastasis of bladder cancer.
Conclusions: These evidences revealed the vital role of IRGs in predicting prognosis, TP53 mutation and immune escape in BC patients.