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Table 1 Independent prognostic biomarkers in resected colorectal liver metastases

From: Immunohistochemical investigation of prognostic biomarkers in resected colorectal liver metastases: a systematic review and meta-analysis

Biomarker

References

Year

N

Hazard ratio (95% CI)

Detection ratea

p-value

Self-sufficiency in growth signals

 Ki-67

Ivanecz et al. [64]

2014

98

0.82 (0.68–0.98)

27/98 (28%)

0.038

 EGFR

Goos et al. [120]

2014

323

1.54 (1.07–2.22)c

121/323 (37%)

0.02

 RKIP

Kim et al. [77]

2012

68

0.19 (0.09–0.45)c

22/68 (32%)

0.014

Insensitivity to anti-growth signals

 p53

Nitti et al. [59]

1998

69

2.53 (1.84–3.22)

44/69 (64%)

0.008

Evading programmed cell death

 TRX-1

Noike et al. [142]

2008

84

0.41 (0.24–0.71)

37/84 (44%)

0.002

 FAS/CD95

Onodera et al. [191]

2005

85

3.254 (1.00–10.49)

30/85 (35%)

0.048

Limitless replicative potential

 hTERT

Dômont et al. [40]

2005

201

2.03 (1.46–2.82)

86/201 (43%)

< 0.001

Sustained angiogenesis

 CD34

Miyagawa et al. [131]

2002

71

2.46 (1.13–5.37)

38/71 (54%)

0.023

 

Nanashima et al. [132]

2009

139

2.71 (1.15–6.42)

69/139 (50%)

0.023

 PTGS2/COX-2

Goos et al. [120]

2014

351

1.59 (1.14–2.26)c

85/351 (24%)

0.01

 VEGFA

Goos et al. [198]

2016

335

1.50 (1.066–2.111)c

101/335 (30%)

0.02

Activating invasion and metastasis

 TSP-1

Sutton et al. [159]

2005

182

1.82 (1.00–3.10)

45/182 (25%)

0.01

 

Teraoku et al. [160]

2016

94

0.38 (0.12–0.99)c

35/94 (63%)

< 0.05

 CAV-1

Neofytou et al. [156]

2017

108

0.40 (0.21–0.78)c

61/108 (56%)

0.007

 KISS1

Zhu et al. [172]

2015

55

0.20 (0.05–0.91)

19/55 (35%)

0.037

 FRZB

Shen et al. [21]

2015

136

2.552 (1.86–3.64)

89/136 (65%)

< 0.001

Deregulated metabolism

 Glucose transporter 1 (GLUT1/SLC2A1)

Goos et al. [198]

2016

350

0.65 (0.51–0.863)c

179/350 (51%)

< 0.01

Immune evasion/suppression

 MHChiCD3hi

Turcotte et al. [213]

2014

154

0.36 (0.20–0.67)

31/154 (20%)

0.001

 CD3+CD8

Wang et al. [212]

2018

249

0.69 (0.59–0.80)

90/249 (36%)

< 0.001

 CD45RO

Brunner et al. [211]

2014

201b

0.46 (0.28–0.73)c

155/201 (77%)

0.001

  

2014

201b

0.25 (0.10–0.64)c

155/201 (77%)

0.004

 plgR

Liu et al. [179]

2014

136

2.673 (1.87–3.76)

86/136 (63%)

< 0.001

 CD83

Miyagawa et al. [210]

2004

70

0.42 (0.23–0.76)c

44/70 (63%)

0.004

 Tryptase

Suzuki et al. [209]

2015

135

17.3 (4.80–62)

73/135 (54%)

< 0.01

 CD68

Miyagawa et al. [131]

2002

71

2.127 (1.01–4.50)

36/71 (51%)

0.049

Genome instability

 Aurora kinase A

Goos et al. [109]

2013

343

1.66 (1.08–2.54)c

115/243 (34%)

0.02

Other markers

 CD133

Yamamoto et al. [91]

2014

103

0.320 (0.13–0.81)

46/103 (45%)

0.016

 APOBEC3G

Lan et al. [185]

2014

136

2.582 (1.83–3.63)

91/136 (67%)

< 0.001

 CDX2

Shigematsu et al. [217]

2018

396

0.415 (0.26–0.66)

360/396 (91%)

< 0.001

  1. aPercentage of samples higher than cutoff
  2. bPatient cohort divided into separate analysis
  3. cInverted HR