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. 2016 Apr 28;17(5):598. doi: 10.3390/ijms17050598

Table 2.

Cox regression for survival analysis of the 42 genes’ mRNA expression in meta-cohort (Affymetrix U133A, n = 1820; or U133Plus2, n = 1436) for overall survival (OS), and disease-free survival (DFS). A negative regression coefficient implies a better prognosis for patients if they retain the function of a given gene (worse prognosis when the cancer underexpresses the gene). Conversely, a positive regression coefficient means that the hazard is higher for a given gene’s overexpression and, thus, the prognosis worse.

Gene Gene ID aCGH CNA Event %CNA Overlap with Normal Cox’s OS (p-Value) Cox’s DFS (p-Value)
ADRA1A 148 Loss 0.42 −0.40185, (0.152322) −1.67582, (0.001948)
ADRA1D 146 Loss 1.15 −0.5968, (0.020507) 0.066504, (0.880385)
ADRB3 155 Loss 0 −1.21809, (0.002366) −1.12818, (0.08601)
APOBEC3D 140564 Loss 0 −0.45803, (0.24853) −1.56085, (0.0224)
BRF2 55290 Loss 0 −0.45526, (0.02013) 0.061887, (0.8515)
C20orf202 400831 Loss 0.89 −0.80141, (0.000481) −0.19907, (0.628292)
CABIN1 23523 Loss 4.02 −0.47782, (0.0210) −0.51601, (0.14935)
CACNA1I 8911 Loss 0 −0.69524, (0.00404) −0.73386, (0.082677)
CSMD1 64478 Loss 0 −0.01578, (0.956357) −1.30789, (0.01948)
DIO3 1735 Loss 1.76 −0.32561, (0.041777) −0.00829, (0.973719)
EPHX2 2053 Loss 0.42 0.036582, (0.61411) −0.30515, (0.0099)
FAM83F 113828 Loss 0 −0.13746, (0.287004) −0.72925, (0.00085)
GP1BB 2812 Loss 0 −0.56827, (0.000246) −0.19289, (0.495577)
KIAA1656 85371 Loss 0 −0.60241, (0.01922) −1.02118, (0.032326)
LOC339593 339593 Loss 0.17 0.29021, (0.385267) −1.12678, (0.047789)
MCM8 84515 Loss 0 0.043419, (0.614947) −0.31948, (0.034203)
NAT1 9 Loss 0 0.028159, (0.713606) −0.36337, (0.007197)
NAT2 10 Loss 0 −0.09059, (0.160865) −0.30169, (0.003804)
HNF6 3175 Loss 0 −0.66924, (0.017955) −0.51152, (0.31)
PCDHGA11 56105 Loss 0 −0.85799, (0.001447) −0.577, (0.33928)
RAB11FIP1 80223 Loss 0 −0.38036, (5.55× 10−05) −0.02196, (0.87)
SPAG11A 653423 Loss 68.65 −0.81665, (0.001447) −0.13298, (0.57)
SIRPD 128646 Loss 0.89 −0.89166, (0.014166) −0.13392, (0.82)
TEX43 389320 Loss 0 −0.46611, (0.175471) −0.19907, (0.01162)
TOP1P2 7152 Loss 0 −1.13965, (0.005692) 0.599602, (0.32)
WDR5 11091 Loss 0 −0.0007, (0.995962) −0.52505, (0.024307)
ZNF366 167465 Loss 0.07 −0.76274, (0.01779) −0.93429, (0.09208)
ZNF703 80139 Loss 0 −0.32601, (0.000744) −0.14954, (0.366064)
ZNRF3 84133 Loss 0 −0.03445, (0.605797) −0.33884, (0.002065)
ANXA2P2 304 Gain 0 0.478663, (0.003259) 0.997702, (0.000504)
CDC42BPA 8476 Gain 0 0.032966, (0.690294) 0.401718, (0.005473)
DOK5 55816 Gain 0.57 0.105512, (0.1) 0.577502, (0.002218)
DUSP14 11072 Gain 0.70 0.207902, (0.047604) 0.709569, (0.000159)
GLIS3 169792 Gain 1.25 0.0916, (0.210004) 0.397791, (0.000566)
ING1 3621 Gain 0 0.461934, (0.020587) 0.127394, (0.710857)
MPDZ 8777 Gain 0 0.079568, (0.406857) 0.657405, (3.98 × 10−5)
PITPNC1 26207 Gain 0 0.257758, (0.029048) 0.418362, (0.026674)
SCEL 8796 Gain 0 0.081094, (0.202236) 0.301113, (0.000357)
SEMG1 6406 Gain 0 0.098826, (0.043099) 0.153704, (0.061048)
SMU1 55234 Gain 0.73 0.36857, (0.008896) 0.016381, (0.942047)
USP32 84669 Gain 0 0.162429, (0.221638) 0.586012, (0.01236)
VLDLR 7436 Gain 0.14 −0.00629, (0.92868) 0.323607, (0.004972)