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. Author manuscript; available in PMC: 2017 Jan 31.
Published in final edited form as: Int J Cancer. 2016 Sep 14;139(12):2730–2737. doi: 10.1002/ijc.30409

Table 2.

Associations between DSS of CM patients and selected SNPs in the PIWI-piRNA pathway in the MDACC dataset.

Genotype No. of patients Death (%) Univariate analysis Multivariate analysis*


HR (95% CI) P HR (95% CI) P
PIWIL4
rs7933369
  GG 250 22 (8.8) 1.00 1.00
  AG 427 40 (9.4) 1.07 (0.64–1.80) 0.797 1.44 (0.83–2.51) 0.193
  AA 181 33 (18.2) 2.20 (1.28–3.78) 0.004 3.66 (2.04–6.56) 1.31×10−5
  Trend 1.53 (1.15–2.05) 0.004 1.97 (1.45–2.67) 1.43×10−5
PIWIL4
rs508485
  TT 224 34 (15.2) 1.00 1.00
  CT 430 46 (10.7) 0.68 (0.44–1.07) 0.092 0.59 (0.38–0.93) 0.024
  CC 204 15 (7.4) 0.46 (0.25–0.84) 0.012 0.32 (0.17–0.60) 0.0004
  Trend 0.68 (0.51–0.91) 0.009 0.57 (0.42–0.77) 0.0002
DCP1A
rs11551405
  CC 530 47 (8.9) 1.00 1.00
  AC 287 39 (13.6) 1.60 (1.05–2.44) 0.030 2.02 (1.30–3.15) 1.80×10−3
  AA 41 9 (22.0) 2.97 (1.45–6.07) 0.003 2.23 (1.03–4.81) 0.041
  Trend 1.67 (1.22–2.29) 0.001 1.66 (1.21–2.27) 1.50×10−3

SNP, single nucleotide polymorphisms; CM, cutaneous melanoma; HR, hazards ratio; DSS, disease-specific survival; HR, hazards ratio; 95%CI, 95% confidence interval;

*

Adjusted by age, sex, tumor stage, Breslow thickness, ulceration of tumor, tumor cell mitotic rate in the Cox models, in additive model.