Berghella AM, Aureli A, Canossi A, Beato TD, Colanardi A, Pellegrini P. Redox, immune and genetic biomarker system for personalized treatments in colorectal cancer. World J Gastrointest Oncol 2019; 11(2): 117-138 [PMID: 30788039 DOI: 10.4251/wjgo.v11.i2.117]
Corresponding Author of This Article
Anna Maria Berghella, PhD, Research Scientist, Istituto di Farmacologia Traslazionale, Consiglio Nazionale delle Ricerche, Via G. Carducci 32, L’Aquila 67100, Italy. annamaria.berghella@cnr.it
Research Domain of This Article
Oncology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
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World J Gastrointest Oncol. Feb 15, 2019; 11(2): 117-138 Published online Feb 15, 2019. doi: 10.4251/wjgo.v11.i2.117
Table 1 Levels of cytokines, soluble receptors and redox system molecules in healthy subject adenoma subject and tumor patients groups
HS
Men
Women
Men vs womendifferences
Trx1
107.6 ± 12.2
124.3 ± 22.7
98.0 ± 14.0
NS
RTrx1
2.2 ± 0.2
2.7 ± 0.4
2.0 ± 0.2
NS
sCD30
8.0 ± 0.7
6.7 ± 0.9
8.9 ± 1.0
NS
TGFβ
14800.0 ± 498.2
15150.2 ± 906.5
14598.3 ± 594.8
NS
IL2
53.6 ± 4.8
42.1 ± 5.7
70.0 ± 8.1
NS
IFNγ
69.4 ± 6.9
53.9 ± 9.6
92.0 ± 9.5
NS
IL4
9.4 ± 0.6
8.0 ± 0.8
11.4 ± 0.9
P < 0.00001
IL6
4.1 ± 0.8
2.7 ± 0.6
5.3 ± 1.5
P = 0.001
IL10
5.2 ± 0.7
4.8 ± 0.5
5.9 ± 1.7
NS
sIL2R
250.0 ± 10.4
238.6 ± 12.5
260.6 ± 16.4
P = 0.00009
sIL6R
70.7 ± 4.0
67.4 ± 6.0
73.5 ± 5.4
NS
AS
Trx1
649.5 ± 60.6
637.9 ± 112.7
656.7 ± 75.5
NS
RTrx1
3.24 ± 0.27
3.4 ± 0.4
3.1 ± 0.37
NS
sCD30
10.7 ± 2.5
8.5 ± 3.1
12.1 ± 3.7
NS
TGFβ
24474.3 ± 665.8
25050.0 ± 1582.4
24114.5 ± 540.8
NS
IL2
39.9 ± 23.5
19.2 ± 1.4
52.8 ± 38.4
NS
IFNγ
98.3 ± 17.5
130.9 ± 35.3
78.0 ± 16.1
NS
IL4
25.5 ± 4.5
15.2 ± 5.4
31.9 ± 5.5
NS
IL6
6.2 ± 2.1
0.5 ± 0.4
9.8 ± 2.8
NS
IL10
7.1 ± 0.9
7.3 ± 2.1
6.9 ± 1.0
NS
sIL2R
295.9 ± 26.7
285.6 ± 50.2
302.3 ± 32.7
NS
sIL6R
146.2 ± 11.2
154.9 ± 20.2
140.7 ± 13.7
NS
TP
Trx1
1125.0 ± 72.5
1083.7 ± 104.3
1086.3 ± 108.1
NS
RTrx1
3.5 ± 0.5
3.4 ± 0.6
4.4 ± 1.0
NS
sCD30
18.0 ± 2.8
21.3 ± 2.9
17.8 ± 4.0
NS
TGFβ
65331.7 ± 6852.0
69385.9 ± 7400.6
70296.5 ± 16452.3
NS
IL2
16.1 ± 3.6
11.2 ± 1.9
16.1 ± 2.5
NS
IFNγ
140.0 ± 14.4
135.2 ± 7.2
140.0 ± 11.4
NS
IL4
160.5 ± 20.5
186.2 ± 33.8
151.6 ± 60.5
NS
IL6
140.0 ± 46.0
139.5 ± 50.3
176.1 ± 92.0
NS
IL10
31.4 ± 6.4
37.7 ± 9.1
22.2 ± 5.7
NS
sIL2R
532.2 ± 21.8
545.2 ± 29.0
504.2 ± 44.7
NS
Table 2 FcγRIIa and FcγRIIIa polymorphism frequencies in healthy subjects and tumor patients
HS
Men
Women
Men
Women
Men
Women
H/H
H/R
R/R
V/V
38.89
40.00
38.46
9.01
11.11
7.70
8.33
16.67
0.00
V/F
55.55
40.00
61.54
68.18
55.55
76.92
75.00
83.33
66.67
F/F
5.50
20.00
0.00
22.72
33.33
15.38
16.67
0.00
33.33
TP
V/V
25.00
33.33
0.00
6.67
12.50
0.00
0.00
0.00
0.00
V/F
75.00
66.67
100.00
80.00
75.00
85.71
100.00
100.00
100.00
F/F
0.00
0.00
0.00
13.33
12.50
14.28
0.00
0.00
0.00
HS vs TP
V/V
P = 0.035
NS
P < 0.0001
NS
NS
P = 0.004
P = 0.0033
P < 0.0001
NS
V/F
P = 0.004
P = 0.0002
P < 0.0001
NS
P = 0.004
NS
P < 0.0001
P < 0.0001
P < 0.0001
F/F
P = 0.017
P < 0.0001
NS
NS
P = 0.0005
NS
P < 0.0001
NS
P < 0.0001
Table 3 FcγRIIa and FcγRIIIa biomarkers of the risk of disease progression
Sensitivity
Specificity
Likelihood ratio
Predictive value
Positive
Negative
Positive
Negative
Men
No risk
HH/FF
P < 0.0001
0.00%
80.00%
0.00
1.25
0.00%
40.00%
RR/VV
P < 0.0001
0.00%
83.33%
0.00
1.20
0.00%
55.56%
Moderate risk
HR/FF
P = 0.0005
12.50%
66.67%
0.37
1.31
25.00%
46.15%
High risk
HH/VF
P = 0.0002
66.67%
60.00%
1.67
0.56
66.67%
60.00%
HR/VF
P = 0.004
75.00%
44.44%
1.35
0.56
54.55%
66.67%
RR/VF
P < 0.0001
100.00%
16.67%
1.20
0.00
44.44%
100.00%
Women
No risk
HH/VV
P < 0.0001
0.00%
61.54%
0.00
1.62
0.00%
80.00%
HR/VV
P = 0.004
0.00%
92.31%
0.00
1.08
0.00%
63.16%
RR/FF
P < 0.0001
0.00%
66.67%
0.00
1.50
0.00%
66.67%
High risk
HH/VF
P < 0.0001
100.00%
38.46%
1.62
0.00
20.00%
100.00%
RR/VF
P < 0.0001
100.00%
33.33%
1.50
0.00
33.33%
100.00%
Table 4 Levels of phenotypic antigen expression in healthy subjects and tumor patients
HS
Men
Women
TP
Men
Women
CD3
59.8 ± 1.3
60.9 ± 1.8
58.3 ± 1.9
49.0 ± 2.3
46.7 ± 2.8
52.4 ± 4.0
CD8
25.3 ± 0.9
25.0 ± 1.3
26.1 ± 1.2
20.0 ± 1.3
19.2 ± 1.5
21.4 ± 2.3
CD16
12.5 ± 1.1
16.5 ± 1.8
7.7 ± 0.8
15.5 ± 1.3
15.4 ± 1.5
14.7 ± 2.3
CD56
11.8 ± 1.2
14.6 ± 1.9
8.5 ± 0.9
16.4 ± 1.6
17.5 ± 2.0
14.9 ± 2.5
CD57
23.7 ± 1.2
25.9 ± 1.8
21.5 ± 1.3
23.7 ± 1.8
22.3 ± 1.8
26.2 ± 4.0
CD3-CD56+
19.7 ± 0.1
19.7 ± 0.1
19.7 ± 0.1
12.7 ± 3.2
18.0 ± 5.5
7.3 ± 2.1
CD8-CD57+
11.4 ± 1.6
12.4 ± 2.0
8.4 ± 2.2
7.2 ± 3.1
15.5 ± 0.1
4.5 ± 1.9
Citation: Berghella AM, Aureli A, Canossi A, Beato TD, Colanardi A, Pellegrini P. Redox, immune and genetic biomarker system for personalized treatments in colorectal cancer. World J Gastrointest Oncol 2019; 11(2): 117-138