Department of Biotechnology, Thapar University, Patiala, India.
Department of Pulmonary Medicine, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India.
Cancer Biother Radiopharm. 2018 Dec;33(10):466-477. doi: 10.1089/cbr.2018.2491. Epub 2018 Oct 20.
To investigate the prognostic implication of genetic variants within the wingless (Wnt) antagonist genes (, , and ) in North Indian lung cancer patients. A total of 212 subjects were genotyped using polymerase chain reaction-restriction fragment length polymorphism technique for 18 polymorphic sites in , , , , , and . Overall survival (OS) was estimated using the Kaplan-Meier survival analysis, and adjusted hazard ratio (HR) was obtained using the Cox regression method. It was observed that the unfavorable genotypes of the three variants collectively (rs447372, rs419558, and rs17037102) exhibited a highly decreased rate of death (adjusted HR = 0.37, = 0.03). Adenocarcinoma (ADCC) patients carrying the heterozygous (CT) genotype for rs2073664 showed a better OS compared with wild genotype (log rank = 0.01). The two exonic variants ( and ) of gene showed contrasting results, where the ADCC subjects having TT genotype for showed a better prognosis (adjusted HR = 0.48, = 0.003) and those with TT genotype for showed a poor prognosis in small-cell lung carcinoma patients (adjusted HR = 2.33, = 0.02). The intronic variant on the other hand indicated a highly increased death risk in ADCC patients with GG genotype. Survival tree analysis depicted DKK4 rs2073664 as the major contributor in predicting the survival of the lung cancer patients. Node 3 exhibited the lowest death rate (HR = 0.04, = 0.008) and better median survival time (9 months vs. 3 months) when compared with reference node. A cumulative effect of three variants of gene along with rs2073664 can jointly predict the survival as shown by tree analysis.
为了研究在印度北部肺癌患者中无翅(Wnt)拮抗剂基因(、、和)内的遗传变异对预后的影响。我们使用聚合酶链反应-限制性片段长度多态性技术对 212 例患者的 18 个多态性位点进行基因分型,以研究 、、、、、和。使用 Kaplan-Meier 生存分析估计总生存率(OS),并使用 Cox 回归方法获得调整后的危险比(HR)。观察到三个变体的不利基因型(rs447372、rs419558 和 rs17037102)共同表现出较高的死亡率降低率(调整后的 HR = 0.37,P = 0.03)。腺癌(ADCC)患者携带 rs2073664 的杂合基因型(CT)与野生基因型相比,具有更好的 OS(对数秩检验 P = 0.01)。基因的两个外显子变体(和)显示出相反的结果,ADCC 患者携带 rs11562152 的 TT 基因型具有更好的预后(调整后的 HR = 0.48,P = 0.003),而携带 rs11562155 的 TT 基因型的小细胞肺癌患者预后较差(调整后的 HR = 2.33,P = 0.02)。另一方面,内含子变体在 ADCC 患者中显示出较高的死亡风险,其 GG 基因型的死亡风险较高。生存树分析表明,DKK4 rs2073664 是预测肺癌患者生存的主要因素。与参考节点相比,节点 3 显示出最低的死亡率(HR = 0.04,P = 0.008)和更好的中位生存时间(9 个月与 3 个月)。树分析表明,三个变体的累积效应以及 rs2073664 可以共同预测生存。