Renner Wilfried, Langsenlehner Uwe, Krenn-Pilko Sabine, Eder Petra, Langsenlehner Tanja
Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, 8036, Graz, Austria.
Division of Internal Medicine, GKK Outpatient Department, Graz, Austria.
Strahlenther Onkol. 2017 Jun;193(6):466-471. doi: 10.1007/s00066-017-1126-9. Epub 2017 Apr 10.
The antiapoptotic B‑cell lymphoma 2 (BCL2) gene is a key player in cancer development and progression. A functional single-nucleotide polymorphism (c.-938C>A, rs2279115) in the inhibitory P2 BCL2 gene promoter has been associated with clinical outcomes in various types of cancer. Aim of the present study was to analyze the role of BCL2-938C>A genotypes in prostate cancer mortality.
The association between BCL2-938C>A (rs2279115) genotypes and prostate cancer outcome was studied within the prospective PROCAGENE study comprising 702 prostate cancer patients.
During a median follow-up time of 92 months, 120 (17.1%) patients died. A univariate Cox regression model showed a significant association of the CC genotype with reduced cancer-specific survival (CSS; hazard ratio, HR, 2.13, 95% confidence interval, CI, 1.10-4.12; p = 0.024) and overall survival (OS; HR 2.34, 95% CI 1.58-3.47; p < 0.001). In a multivariate Cox regression model including age at diagnosis, risk group, and androgen deprivation therapy, the CC genotype remained a significant predictor of poor CSS (HR 2.05, 95% CI 1.05-3.99; p = 0.034) and OS (HR 2.25, 95% CI 1.51-3.36; p < 0.001).
This study provides evidence that the homozygous BCL2-938 CC genotype is associated with OS and C in prostate cancer patients.
抗凋亡的B细胞淋巴瘤2(BCL2)基因是癌症发生和发展的关键因素。抑制性P2 BCL2基因启动子中的功能性单核苷酸多态性(c.-938C>A,rs2279115)与多种癌症的临床结局相关。本研究的目的是分析BCL2-938C>A基因型在前列腺癌死亡率中的作用。
在一项包含702例前列腺癌患者的前瞻性PROCAGENE研究中,研究BCL2-938C>A(rs2279115)基因型与前列腺癌结局之间的关联。
在中位随访时间92个月期间,120例(17.1%)患者死亡。单变量Cox回归模型显示CC基因型与癌症特异性生存率(CSS)降低显著相关(风险比,HR,2.13,95%置信区间,CI,1.10 - 4.12;p = 0.024)以及总生存率(OS;HR 2.34,95% CI 1.58 - 3.47;p < 0.001)。在包含诊断年龄、风险组和雄激素剥夺治疗的多变量Cox回归模型中,CC基因型仍然是CSS差(HR 2.05,95% CI 1.05 - 3.99;p = 0.034)和OS差(HR 2.25,95% CI 1.51 - 3.36;p < 0.001)的显著预测因素。
本研究提供了证据表明纯合的BCL2-938 CC基因型与前列腺癌患者的OS和CSS相关。