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Association of cancer stem cell markers genetic variants with gallbladder cancer susceptibility, prognosis, and survival

机译:癌症干细胞标志物遗传变异与胆囊癌易感性,预后和生存的关系

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摘要

Genes important to stem cell progression have been involved in the genetics and clinical outcome of cancers. We investigated germ line variants in cancer stem cell (CSC) genes to predict susceptibility and efficacy of chemoradiotherapy treatment in gallbladder cancer (GBC) patients. In this study, we assessed the effect of SNPs in CSC genes (surface markers CD44, ALCAM, EpCAM, CD133) and (molecular markers NANOG, SOX-2, LIN-28A, ALDH1A1, OCT-4) with GBC susceptibility and prognosis. Total 610 GBC patients and 250 controls were genotyped by using PCR-RFLP, ARMS-PCR, and TaqMan allelic discrimination assays. Chemotoxicity graded 2-4 in 200 patients and tumor response was recorded in 140 patients undergoing neoadjuvant chemotherapy (NACT). Differences in genotype and haplotype frequency distributions were calculated by binary logistic regression. Gene-gene interaction model was analyzed by generalized multifactor dimensionality reduction (GMDR). Overall survival was assessed by Kaplan-Meier survival curve and multivariate Cox-proportional methods. ALCAM A(rs1157)C(rs10511244) (P = 0.0035) haplotype was significantly associated with GBC susceptibility. In GMDR analysis, ALCAM rs1157G > A, EpCAM rs1126497T > C emerged as best significant interaction model with GBC susceptibility and ALDH1A1 rs13959T > G with increased risk of grade 3-4 hematological toxicity. SOX-2 rs11915160A > C, OCT-4 rs3130932T > G, and NANOG rs11055786T > C were found best gene-gene interaction model for predicting response to NACT. In both Cox-proportional and recursive partitioning ALCAM rs1157GA+AA genotype showed higher mortality and hazard ratio. ALCAM gene polymorphisms associated with GBC susceptibility and survival while OCT-4, SOX-2, and NANOG variants showed an interactive role with treatment response.
机译:对干细胞进程重要的基因已参与了癌症的遗传学和临床结果。我们调查了癌症干细胞(CSC)基因中的种系变异体,以预测胆囊癌(GBC)患者放化疗的敏感性和疗效。在这项研究中,我们评估了SNP在CSC基因(表面标记CD44,ALCAM,EpCAM,CD133)和(分子标记NANOG,SOX-2,LIN-28A,ALDH1A1,OCT-4)中对GBC的敏感性和预后。使用PCR-RFLP,ARMS-PCR和TaqMan等位基因鉴别分析对610名GBC患者和250名对照进行基因分型。 200例患者的化学毒性为2-4级,140例接受新辅助化疗(NACT)的患者记录了肿瘤反应。基因型和单倍型频率分布的差异通过二元逻辑回归分析计算。通过广义多因素降维(GMDR)分析基因-基因相互作用模型。总生存期通过Kaplan-Meier生存曲线和多元Cox比例方法进行评估。 ALCAM A(rs1157)C(rs10511244)(P = 0.0035)单倍型与GBC易感性显着相关。在GMDR分析中,ALCAM rs1157G> A,EpCAM rs1126497T> C成为具有GBC敏感性和ALDH1A1 rs13959T> G的最佳显着相互作用模型,其3-4级血液学毒性风险增加。发现SOX-2 rs11915160A> C,OCT-4 rs3130932T> G,NANOG rs11055786T> C是预测NACT反应的最佳基因-基因相互作用模型。在Cox比例分配和递归分配中,ALCAM rs1157GA + AA基因型均显示出较高的死亡率和危险比。 ALCAM基因多态性与GBC易感性和生存有关,而OCT-4,SOX-2和NANOG变体表现出与治疗反应的相互作用。

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