■疼痛基因的影响(NAV1,EHMT2,SP1,SLC6A4,COMT,OPRM1,OPRD1,CYP2D6和CYP3A4)先前尚未在肾肾透明细胞癌(KIRC)患者中报道,因此我们对疼痛基因在KIRC和肿瘤免疫治疗预后中的作用进行了综合分析。
■在这项研究中,TCGA,卡普兰-迈耶绘图仪,Metascape,STRING,人类蛋白质图谱,单细胞表达图谱数据库,LinkedOmics,cBioPortal,MethSurv,CancerSEA,使用COSMIC数据库和R包(ggplot2,3.3.3版)对KIRC中的疼痛基因进行综合分析。Pearson和Spearman相关系数用于共表达分析。免疫治疗和TISIDB数据库用于肿瘤免疫治疗。
■代表性疼痛基因(SP1,SLC6A4,COMT,OPRD1,CYP2D6和CYP3A4)在KIRC的预后中有统计学意义(p<0.0001)。免疫治疗(抗PD-1治疗,抗PD-L1治疗,和抗CTLA4治疗)和免疫调节剂(免疫抑制剂,免疫刺激剂,和MHC分子)在KIRC中与疼痛基因(SP1,SLC6A4,COMT,OPRD1、CYP2D6和CYP3A4),这是患者临床决策的重要补充。
■我们的研究揭示了疼痛基因通过调节相关共表达基因网络对KIRC结果的影响机制,基因变异,和肿瘤免疫治疗。
UNASSIGNED: The effect of pain genes (NAV1, EHMT2, SP1, SLC6A4, COMT, OPRM1, OPRD1, CYP2D6, and CYP3A4) have not been reported previously in kidney renal clear cell carcinoma (KIRC) patients and thus we made a comprehensive analysis of pain genes in the prognosis of KIRC and tumor immunotherapy.
UNASSIGNED: In this study, TCGA, Kaplan-Meier plotter, Metascape, STRING, Human Protein Atlas, Single Cell Expression Atlas database, LinkedOmics, cBioPortal, MethSurv, CancerSEA, COSMIC database and R package (ggplot2, version 3.3.3) were used for comprehensive analysis of pain genes in KIRC. Pearson and Spearman correlation coefficients were for co-expression analysis. Immunotherapy and TISIDB database were used for tumor Immunotherapy.
UNASSIGNED: Representative pain genes (SP1, SLC6A4, COMT, OPRD1, CYP2D6, and CYP3A4) were statistically significant (p < 0.0001) in the prognosis of KIRC. Immunotherapy (anti-PD-1 therapy, anti-PD-L1 therapy, and anti-CTLA4 therapy) and
immunomodulator (immunoinhibitor, immunostimulator, and MHC molecule) in KIRC were significant associated with pain genes (SP1, SLC6A4, COMT, OPRD1, CYP2D6, and CYP3A4), which were the important addition to clinical decision making for patients.
UNASSIGNED: Our study uncovered a mechanism for the effect of pain genes on KIRC outcome via the modulation of associated co-expression gene networks, gene variation, and tumor Immunotherapy.