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Identification of recurrence marker associated with immune infiltration in prostate cancer with radical resection and build prognostic nomogram

机译:用自由基切除术治疗前列腺癌中免疫浸润的复发标志物的鉴定和构建预后墨迹

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BACKGROUND:Some historic breakthroughs have been made in immunotherapy of advanced cancer. However, there is still little research on immunotherapy in prostate cancer. We explored the relationship between immune cell infiltration and prostate cancer recurrence and tried to provide new ideas for the treatment of prostate cancer.METHODS:Prostate cancer RNA-seq data and clinical information were downloaded from the TCGA database and GEO database. The infiltration of 24 immune cells in tissues was quantified by ssGSEA. Univariate Cox regression analysis was used to screen for immune cell types associated with tumor recurrence, weighted gene co-expression network analysis (WGCNA) and LASSO were used to identify hub genes which regulate prognosis in patients through immune infiltration. Then, the nomogram was constructed based on the hub gene to predict the recurrence of prostate cancer, and the decision curve analysis (DCA) was used to compare the accuracy with the PSA and Gleason prediction models.RESULT:Analysis showed that Th2 cells and Tcm related to prostate cancer recurrence after radical prostatectomy, and they are independent protective factors for recurrence. Through WGCNA and Lasso, we identified that NDUFA13, UQCR11, and USP34 involved in the infiltration of Th2 cells and Tcm in tumor tissues, and the expression of genes is related to the recurrence of patients. Based on the above findings, we constructed a clinical prediction model and mapped a nomogram, which has better sensitivity and specificity for prostate cancer recurrence prediction, and performed better in comparison with PSA and Gleason's predictions.CONCLUSION:The immune cells Th2 cells and Tcm are associated with recurrence of PCa. Moreover, the genes NDUFA13, UQCR11, and USP34 may affect the recurrence of PCa by affecting the infiltration of Th2 cells and Tcm. Moreover, nomogram can make prediction effectively.
机译:背景:在晚期癌症的免疫疗法中取代了一些历史性突破。然而,仍然对前列腺癌的免疫疗法仍然很少研究。我们探讨了免疫细胞浸润和前列腺癌复发的关系,并试图为治疗前列腺癌提供新的思路。方法:从TCGA数据库和GEO数据库下载前列腺癌RNA-SEQ数据和临床信息。通过SSGSEA量化组织中24个免疫细胞的渗透。单变量COX回归分析用于筛选与肿瘤复发相关的免疫细胞类型,加权基因共表达网络分析(WGCNA)和套索用于鉴定通过免疫渗透调节患者预后的轮毂基因。然后,基于集线器基因构建ROM图以预测前列腺癌的复发,并且使用判定曲线分析(DCA)与PSA和GLEASON预测模型的准确性进行比较。结果:分析显示TH2细胞和TCM与激进前列腺切除术后的前列腺癌复发有关,它们是复发的独立保护因子。通过WGCNA和套索,我们发现NDUFA13,UQCR11和USP34参与肿瘤组织中TH2细胞和中医的渗透,以及基因的表达与患者的复发有关。基于上述研究结果,我们构建了一种临床预测模型并映射了一个NOM图,其对前列腺癌复发预测具有更好的敏感性和特异性,并且与PSA和GLEAN的预测相比更好地进行。结论:免疫细胞TH2细胞和TCM是与PCA的复发相关联。此外,NDUFA13,UQCR11和USP34的基因可以通过影响TH2细胞和TCM的渗透来影响PCA的复发。此外,纳米图可以有效地进行预测。

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