Observational Study
Copyright ©The Author(s) 2022.
World J Hepatol. Jul 27, 2022; 14(7): 1438-1458
Published online Jul 27, 2022. doi: 10.4254/wjh.v14.i7.1438
Table 4 Cox regression models for eDAE and DAE by AGT1 (rs699)
Event
Centre
AGT1(rs699)
HR (95%CI)
P value
HR (95%CI) adjusted by BCLC + ECOG-PS
P value
HR (95%CI) adjusted by BCLC + ECOG-PS + AHT + DM
P value
HR (95%CI) adjusted for AHT + DM
P value
HR (95%CI) adjusted for DM
P value
HR (95%CI) adjusted for AHT
P value
eDAEBCLC1 cohortAA vs AG2.31 (1.03-5.14)0.042.3 (1.02-5.16)0.042.34 (1.02-5.37)0.042.33 (1.03-5.24)0.042.45 (1.1-5.5)0.032.24 (1-5.03)0.049
AA vs GG1.68 (0.71-3.97)0.21.69 (0.71-4)0.21.64 (0.69-3.93)0.31.65 (0.69-3.92)0.31.75 (0.74-4.13)0.21.62 (0.68-3.87)0.3
AG vs GG0.73 (0.29-1.85)0.50.73 (0.29-1.89)0.50.7 (0.27-1.82)0.50.71 (0.28-1.79)0.50.71 (0.28-1.8)0.50.72 (0.29-1.84)0.5
BCLC2 cohortAA vs AG0.66 (0.25-1.76)0.40.63 (0.24-1.7)0.40.71 (0.26-1.93)0.50.72 (0.27-1.93)0.50.72 (0.27-1.91)0.50.68 (0.25-1.83)0.5
AA vs GG1.13 (0.32-4.01)0.91.08 (0.3-3.84)0.91.35 (0.37-4.95)0.71.36 (0.38-4.9)0.71.32 (0.37-4.72)0.71.13 (0.32-4)0.9
AG vs GG1.71 (0.55-5.3)0.41.7 (0.55-5.28)0.41.89 (0.6-5.91)0.31.89 (0.6-5.9)0.31.85 (0.6-5.74)0.31.66 (0.53-5.17)0.4
Northern Italy cohortAA vs AG0.8 (0.33-1.95)0.60.75 (0.3-1.86)0.51.02 (0.4-2.61)0.90.96 (0.39-2.36)0.90.83 (0.34-2.02)0.70.91 (0.37-2.23)0.8
AA vs GG0.9 (0.31-2.6)0.80.71 (0.24-2.1)0.50.96 (0.31-2.98)0.91.22 (0.4-3.73)0.70.96 (0.33-2.8)0.91.12 (0.37-3.36)0.8
AG vs GG1.12 (0.42-3.01)0.80.95 (0.35-2.58)0.90.94 (0.33-2.69)0.91.27 (0.46-3.49)0.71.15 (0.43-3.12)0.81.23 (0.45-3.34)0.7
Naples cohortAA vs AG1.26 (0.54-2.95)0.61.21 (0.51-2.86)0.71.35 (0.56-3.27)0.51.36 (0.57-3.25)0.51.23 (0.52-2.93)0.61.44 (0.61-3.39)0.4
AA vs GG1.26 (0.34-4.66)0.71.18 (0.31-4.43)0.81.33 (0.35-5)0.71.34 (0.36-4.96)0.71.27 (0.34-4.68)0.71.35 (0.37-5)0.7
AG vs GG1 (0.28-3.51)0.90.97 (0.28-3.43)0.90.98 (0.28-3.49)0.90.99 (0.28-3.49)0.91.03 (0.29-3.65)0.90.94 (0.27-3.3)0.9
BCLC2 cohort + Naples cohort + Northern Italy cohortAA vs AG0.87 (0.52-1.47)0.60.85 (0.51-1.43)0.50.84 (0.5-1.41)0.50.85 (0.51-1.43)0.60.87 (0.52-1.47)0.60.85 (0.51-1.43)0.6
AA vs GG1.05 (0.54-2.04)0.90.95 (0.49-1.86)0.90.92 (0.47-1.81)0.81.01 (0.52-1.97)0.91.05 (0.54-2.04)0.91.01 (0.52-1.97)0.9
AG vs GG1.2 (0.65-2.22)0.61.12 (0.61-2.08)0.71.1 (0.59-2.05)0.81.18 (0.64-2.18)0.61.2 (0.65-2.22)0.61.18 (0.64-2.18)0.6
BCLC1 cohort + Naples cohort + Northern Italy cohortAA vs AG1.35 (0.84-2.17)0.21.35 (0.84-2.18)0.21.33 (0.82-2.15)0.21.31 (0.81-2.11)0.31.35 (0.84-2.18)0.21.3 (0.81-2.1)0.3
AA vs GG1.19 (0.67-2.12)0.61.13 (0.6-2.01)0.71.08 (0.6-1.93)0.81.1 (0.61-1.97)0.81.19 (0.67-2.12)0.61.09 (0.61-1.96)0.8
AG vs GG0.88 (0.5-1.55)0.70.83 (0.47-1.48)0.50.81 (0.46-1.43)0.50.84 (0.48-1.48)0.60.88 (0.5-1.55)0.70.84 (0.48-1.48)0.6
BCLC1cohort + BCLC2 cohort + Naples cohortAA vs AG1.32 (0.81-2.15)0.31.29 (0.79-2.11)0.31.3 (0.79-2.12)0.31.31 (0.81-2.14)0.31.33 (0.82-2.17)0.31.31 (0.8-2.13)0.3
AA vs GG1.4 (0.75-2.6)0.31.38 (0.7-2.57)0.31.44 (0.77-2.69)0.31.45 (0.78-2.7)0.21.46 (0.79-2.72)0.21.38 (0.74-2.57)0.3
AG vs GG1.06 (0.58-1.94)0.91.06 (0.58-1.95)0.91.11 (0.6-2.03)0.81.1 (0.6-2.02)0.81.1 (0.6-2.01)0.81.06 (0.58-1.94)0.9
DAEBCLC1 cohortAA vs AG2.7 (1.27-5.75)0.012.68 (1.25-5.77)0.012.52 (1.16-5.47)0.022.6 (1.21-5.57)0.012.82 (1.32-6.06)0.0082.5 (1.17-5.35)0.02
AA vs GG1.26 (0.62-2.58)0.51.24 (0.61-2.55)0.61.11 (0.53-2.31)0.81.13 (0.55-2.35)0.81.3 (0.63-2.66)0.51.12 (0.54-2.32)0.8
AG vs GG0.47 (0.21-1.05)0.060.46 (0.2-1.06)0.070.44 (0.19-1.01)0.0530.44 (0.19-0.98)0.0450.46 (0.2-1.03)0.060.45 (0.2-1.01)0.052
BCLC2 cohortAA vs AG0.98 (0.43-2.2)0.90.94 (0.42-2.13)0.90.99 (0.43-2.26)0.91.01 (0.45-2.3)0.91.03 (0.45-2.32)0.90.95 (0.42-2.16)0.9
AA vs GG1.89 (0.59-6.04)0.31.78 (0.55-5.76)0.32.08 (0.63-6.85)0.22.18 (0.67-7.03)0.192.08 (0.65-6.66)0.21.88 (0.59-6.01)0.3
AG vs GG1.94 (0.64-5.9)0.21.89 (0.62-5.77)0.32.12 (0.69-6.49)0.192.15 (0.7-6.57)0.182.02 (0.66-6.15)0.21.98 (0.65-6.05)0.2
Northern Italy cohortAA vs AG0.89 (0.39-2.06)0.80.85 (0.37-1.98)0.71.01 (0.42-2.41)0.91 (0.42-2.33)0.90.91 (0.39-2.11)0.80.95 (0.41-2.22)0.9
AA vs GG0.62 (0.25-1.57)0.30.54 (0.21-1.37)0.20.6 (0.23-1.6)0.30.74 (0.28-1.92)0.50.64 (0.25-1.62)0.40.7 (0.27-1.79)0.5
AG vs GG0.7 (0.3-1.62)0.30.63 (0.27-1.48)0.20.6 (0.25-1.43)0.20.74 (0.32-1.72)0.50.71 (0.3-1.63)0.40.73 (0.31-1.69)0.5
Naples cohortAA vs AG1.29 (0.57-2.92)0.51.23 (0.54-2.81)0.61.35 (0.58-3.15)0.51.38 (0.6-3.17)0.51.23 (0.54-2.81)0.61.49 (0.66-3.4)0.3
AA vs GG1.38 (0.38-5.03)0.61.28 (0.35-4.73)0.71.45 (0.39-5.36)0.61.49 (0.41-5.41)0.61.39 (0.38-5.05)0.61.51 (0.41-5.51)0.5
AG vs GG1.07 (0.31-3.72)0.91.04 (0.3-3.62)0.91.08 (0.31-3.77)0.91.08 (0.31-3.79)0.91.13 (0.32-3.96)0.91.01 (0.29-3.52)0.9
BCLC2 cohort + Naples cohort + Northern Italy cohortAA vs AG1 (0.62-1.61)0.90.98 (0.61-1.57)0.90.95 (0.59-1.54)0.90.97 (0.6-1.56)0.91.01 (0.63-1.62)0.90.96 (0.6-1.55)0.9
AA vs GG1.13 (0.61-2.08)0.71.04 (0.56-1.92)0.90.98 (0.53-1.81)0.91.05 (0.57-1.95)0.91.12 (0.61-2.07)0.71.05 (0.57-1.95)0.9
AG vs GG1.13 (0.63-2)0.71.06 (0.59-1.89)0.81.02 (0.57-1.83)0.91.09 (0.61-1.94)0.81.12 (0.63-1.99)0.71.09 (0.61-1.95)0.8
BCLC1 cohort + Naples cohort +Northern Italy cohortAA vs AG1.43 (0.91-2.24)0.121.43 (0.91-2.24)0.121.39 (0.88-2.19)0.151.36 (0.87-2.14)0.181.44 (0.92-2.26)0.111.35 (0.86-2.12)0.19
AA vs GG0.94 (0.57-1.56)0.80.9 (0.54-1.51)0.70.82 (0.49-1.38)0.50.83 (0.49-1.39)0.50.94 (0.57-1.57)0.80.82 (0.49-1.38)0.5
AG vs GG0.66 (0.4-1.09)0.10.63 (0.38-1.050.080.59 (0.36-0.99)0.040.61 (0.37-1.01)0.0520.66 (0.4-1.08)0.10.61 (0.37-1.01)0.053
BCLC1 cohort + BCLC2 cohort + Naples cohortAA vs AG1.54 (0.98-2.41)0.061.49 (0.95-2.34)0.081.48 (0.94-2.32)0.091.52 (0.97-2.37)0.071.55 (0.99-2.43)0.0551.5 (0.96-2.35)0.07
AA vs GG1.35 (0.78-2.32)0.31.3 (0.75-2.25)0.31.32 (0.76-2.28)0.31.35 (0.78-2.33)0.31.39 (0.81-2.4)0.21.3 (0.76-2.24)0.3
AG vs GG0.88 (0.51-1.51)0.60.87 (0.51-1.5)0.60.89 (0.52-1.54)0.70.89 (0.52-1.54)0.70.9 (0.52-1.54)0.70.87 (0.5-1.49)0.6

  • Citation: Sapena V, Iavarone M, Boix L, Facchetti F, Guarino M, Sanduzzi Zamparelli M, Granito A, Samper E, Scartozzi M, Corominas J, Marisi G, Díaz A, Casadei-Gardini A, Gramantieri L, Lampertico P, Morisco F, Torres F, Bruix J, Reig M. Polymorphism AGT2 (rs4762) is involved in the development of dermatologic events: Proof-of-concept in hepatocellular carcinoma patients treated with sorafenib. World J Hepatol 2022; 14(7): 1438-1458
  • URL: https://www.wjgnet.com/1948-5182/full/v14/i7/1438.htm
  • DOI: https://dx.doi.org/10.4254/wjh.v14.i7.1438