Chang YC, Chang JG, Liu TC, Lin CY, Yang SF, Ho CM, Chen WTL, Chang YS. Mutation analysis of 13 driver genes of colorectal cancer-related pathways in Taiwanese patients. World J Gastroenterol 2016; 22(7): 2314-2325 [PMID: 26900293 DOI: 10.3748/wjg.v22.i7.2314]
Corresponding Author of This Article
Ya-Sian Chang, PhD, Epigenome Research Center, China Medical University Hospital, 2 Yuh-Der Road, Taichung 40447, Taiwan. t25074@mail.cmuh.org.tw
Research Domain of This Article
Genetics & Heredity
Article-Type of This Article
Basic Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastroenterol. Feb 21, 2016; 22(7): 2314-2325 Published online Feb 21, 2016. doi: 10.3748/wjg.v22.i7.2314
Table 1De novo mutations of 13 driver genes detected in colorectal cancer
Gene
Mutation
Protein change
rs number
Number of mutations, n (%)
Minor allele frequency in cancer
Minor allele frequency in Asian
GMAF
(global minor allele frequency%)
APC
c.465A>G
p.Lys155=
1 (0.97)
0.49%
c.573T>C
p.Tyr191=
rs185154886
1 (0.97)
0.49%
NA
C = 0.06
c.1005A>G
p.Leu335=
rs3797704
1 (0.97)
0.49%
G = 0%
G = 0.06
BMPR1A
c.1578A>G
p.Glu526=
rs202030576
1 (0.97)
0.49%
NA
G = 0.02
MLH1
c.462C>T
p.Asp154=
rs192938577
1 (0.97)
0.49%
NA
T = 0.02
c.655A>G
p.Ile219Val
rs1799977
7 (6.8)
3.40%
G = 0%-37.5%
G = 12.96
c.1151T>A
p.Val384Asp
rs63750447
4 (3.88)
1.94%
NA
A = 0.52
c.1742C>T
p.Pro581Leu
rs63751684
1 (0.97)
0.49%
NA
T = 0.12
c.2101C>A
p.Gln701Lys
rs63750114
1 (0.97)
0.49%
NA
A = 0.12
MSH2
c.23C>T
p.Thr8Met
rs17217716
3 (2.91)
1.46%
T = 0%-5%
T = 0.52
c.1886A>G
p.Gln629Arg
rs61756468
3 (2.91)
1.46%
NA
G = 0.22
MSH6
c.3488A>T
p.Glu1163Val
rs63750252
2 (1.94)
0.97%
NA
T = 0.28
c.4065_4066insTTGA
p.Lys1328Aspfs
rs55740729
1 (0.97)
0.49%
NA
TTGA = 0.8
MUTYH
c.1422G>C
p.Thr474=
rs74318065
1 (0.97)
0.49%
NA
G = 1.04
c.1440C>T
p.Thr480=
rs150269172
3 (2.91)
1.46%
NA
A = 0.4
PMS2
c.1532C>T
p.Thr511Met
rs74902811
4 (3.88)
1.94%
NA
A = 3.69
Table 2 Polymorphisms of 13 driver genes detected in colorectal cancer
Gene
Mutation
Protein change
rs number
Number of mutations, n (%)
Minor allele frequency in cancer
Minor allele frequency in Asian
GMAF
(global minor allele frequency%)
BMPR1A
c.4C>A
p.Pro2Thr
rs11528010
41(39.81)
19.9%
NA
A = 49.98
MSH2
c.471C>A
p.Gly157=
rs61756463
5 (4.85)
2.43%
NA
A = 0.24
c.1168C>T
p.Leu390Phe
rs17224367
5 (4.85)
2.43%
T = 0%-4.7%
T = 0.28
c.1690A>G
p.Thr564Ala
rs55778204
3 (2.91)
1.46%
NA
G = 0.06
MSH6
c.116G>A
p.Gly39Glu
rs1042821
1 (0.97)
0.49%
NA
A = 20.29
c.3306T>A
p.Thr1102=
rs2020910
41 (39.81)
37.38%
A = 0%-22.9%
A = 4.93
MUTYH
c.1014G>C
p.Gln338His
rs3219489
51 (49.51)
27.67%
C = 45.2%-46.7%
C = 31.35
PMS2
c.59G>A
p.Arg20Gln
rs10254120
10 (9.71)
4.85%
NA
T = 7.57
c.288C>T
p.Ala96=
rs12532895
58 (56.31)
33.5%
A = 28.2%-36%
A = 11.36
c.780C>G
p.Ser260=
rs1805319
17 (16.5)
8.25%
G = 4.8%-8%
G = 16.87
c.1408C>T
p.Pro470Ser
rs1805321
44 (42.72)
21.36%
T = 0%
T = 35.82
c.1454C>A
p.Thr485Lys
rs1805323
44 (42.72)
21.36%
NA
T = 11.20
c.1621G>A
p.Lys541Glu
rs2228006
15 (14.56)
7.28%
A = 4.4%-23%
A = 11.68
c.2253T>C
p.Phe751=
rs1805325
2 (1.94)
0.97%
NA
NA
c.2324A>G
p.Asn775Ser
rs17420802
8 (7.77)
3.88%
NA
NA
c.2340C>T
p.Pro780=
rs142230276
8 (7.77)
3.88%
NA
A = 0.12
c.2570G>C
p.Gly857ala
rs1802683
1 (0.97)
0.49%
NA
NA
TP53
c.215C>G
p.Pro72Arg
rs1042522
78 (75.73)
50%
G = 48.9%-61.4%
G = 45.71
Table 3 Known pathological mutations of 13 driver genes detected in colorectal cancer
Gene
Mutation
Protein change
rs number in dbSNP/mutation id in COSMIC
Number of mutations, n (%)
Minor allele frequency in cancer
Minor allele frequency in Asian
GMAF
(global minor allele frequency%)
APC
c.95A>G
p.Asn32Ser
rs539108537
1 (0.97)
0.49%
NA
G = 0.02
c.646C>T
p.Arg216Stop
rs62619935
1 (0.97)
0.49%
NA
NA
c.694C>T
p.Arg232Stop
rs397515734
1 (0.97)
0.49%
NA
NA
c.799G>T
p.Gly267Stop
The UMD-APC mutations database
1 (0.97)
0.49%
NA
NA
c.832C>T
p.Gln278Stop
The UMD-APC mutations database
1 (0.97)
0.49%
NA
NA
c.904C>T
p.Arg302Stop
rs137854568
1 (0.97)
0.49%
NA
NA
c.3907C>T
p.Gln1303Stop
COSM13728
1 (0.97)
0.49%
NA
NA
c.3914C>A
p.Ala1305Glu
COSM1432302
1 (0.97)
0.49%
NA
NA
c.3914delC
p.Ala1305Glufs
COSM19687
1 (0.97)
0.49%
NA
NA
c.3934G>T
p.Gly1312Stop
COSM18817
1 (0.97)
0.49%
NA
NA
c.3935delG
p.Gly1312Glufs
COSM18796
1 (0.97)
0.49%
NA
NA
c.3944C>A
p.Ser1315Stop
COSM18777
1 (0.97)
0.49%
NA
NA
c.3982C>T
p.Gln1328Stop
rs398123121
3 (2.91)
1.46%
NA
NA
c.4012C>T
p.Gln1338Stop
rs121913327
3 (2.91)
1.46%
NA
NA
c.4031C>A
p.Ser1344Stop
COSM19135
1 (0.97)
0.49%
NA
NA
BRAF
c.1780G>A
p.Asp594Asn
rs397516896
1 (0.97)
0.49%
NA
NA
c.1799T>C
p.Val600Glu
rs113488022
3 (2.91)
1.46%
NA
NA
KRAS
c.34G>C
p.Gly12Cys
rs121913530
2 (1.94)
0.97%
NA
NA
c.34G>T
p.Gly12Ser
rs121913530
2 (1.94)
0.97%
NA
NA
c.35G>A
p.Gly12Ala
rs121913529
2 (1.94)
0.97%
NA
NA
c.35G>C
p.Gly12Asp
rs121913529
11 (10.98)
5.34%
NA
NA
c.35G>T
p.Gly12Val
rs121913529
12 (11.65)
5.83%
NA
NA
c.38G>C
p.Gly13Asp
rs112445441
5 (4.85)
2.43%
NA
NA
MSH2
c.1480T>C
p.Ser494Pro
rs55653533
1 (0.97)
0.49%
NA
C = 0.02
MUTYH
c.74G>A
p.Gly25Asp
rs75321043
1 (0.97)
0.49%
NA
T = 0.18
PIK3CA
c.1624G>A
p.Glu542Lys
rs121913273
1 (0.97)
0.49%
NA
NA
c.1633G>A
p.Glu545Lys
rs104886003
1 (0.97)
0.49%
NA
NA
c.1636C>G
p.Gln546Lys
rs121913286
1 (0.97)
0.49%
NA
NA
c.3140A>G
p.His1047Arg
rs121913279
2 (1.94)
0.97%
NA
NA
PMS2
c.2437C>T
p.Arg813Trp
rs375968016
1 (0.97)
0.49%
NA
A = 0.02
PTEN
c.19G>T
p.Glu7Stop
COSM5298
1 (0.97)
0.49%
NA
NA
SMAD4
c.1067C>G
p.Pro356Arg
COSM339351
1 (0.97)
0.49%
NA
NA
c.1069T>C
p.Ser357Pro
COSM189735
1 (0.97)
0.49%
NA
NA
c.1081C>T
p.Arg361Cys
rs80338963
1 (0.97)
0.49%
NA
NA
TP53
c.318C>G
p.Ser106Arg
COSM45944
1 (0.97)
0.49%
NA
NA
c.423C>G
p.Cys141Trp
COSM44204
1 (0.97)
0.49%
NA
NA
c.440T>G
p.Val147Gly
COSM44309
1 (0.97)
0.49%
NA
NA
c.511G>T
p.Glu171Stop
COSM10996
1 (0.97)
0.49%
NA
NA
c.514G>T
p.Val172Phe
COSM44240
1 (0.97)
0.49%
NA
NA
c.524G>A
p.Arg175His
rs28934578
5 (4.85)
2.43%
NA
NA
c.536A>G
p.His179Arg
COSM10889
1 (0.97)
0.49%
NA
NA
c.586C>T
p.Arg196Stop
rs397516435
2 (1.94)
0.97%
NA
NA
c.638G>T
p.Arg213Leu
COSM43650
1 (0.97)
0.49%
NA
NA
c.646G>A
p.Val216Met
COSM10667
1 (0.97)
0.49%
NA
NA
c.700T>G
p.Tyr234Asp
COSM43768
1 (0.97)
0.49%
NA
NA
c.734G>A
p.Gly245Asp
rs121912656
2 (1.94)
0.97%
NA
NA
c.742C>T
p.Arg248Trp
rs121912651
3 (2.91)
1.46%
NA
NA
c.761T>G
p.Ile254Ser
COSM45035
1 (0.97)
0.49%
NA
NA
c.772G>A
p.Glu258Lys
rs121912652
1 (0.97)
0.49%
NA
NA
c.772G>T
p.Glu258Stop
COSM43568
1 (0.97)
0.49%
NA
NA
c.817C>T
p.Arg273Cys
rs121913343
1 (0.97)
0.49%
NA
NA
c.818G>A
p.Arg273His
rs28934576
2 (1.94)
0.97%
NA
T = 0.02
c.841G>C
p.Asp281His
COSM10943
1 (0.97)
0.49%
NA
NA
c.844C>T
p.Arg282Trp
rs28934574
5 (4.85)
2.43%
NA
NA
c.853G>A
p.Glu285Lys
rs112431538
1 (0.97)
0.49%
NA
NA
c.856G>A
p.Glu286Lys
COSM10726
1 (0.97)
0.49%
NA
NA
c.857A>G
p.Glu286Gly
COSM43565
1 (0.97)
0.49%
NA
NA
c.1015G>T
p.Glu339Stop
COSM11286
1 (0.97)
0.49%
NA
NA
Table 4 Correlation between clinicopathological features and APC mutation and two or more driver genes mutations
Mutation of APC
Mutations of two or more driver genes
No
Yes
Total
P value
No
Yes
Total
P value
Gender
F
27
10
37
0.503
23
14
37
0.435
M
52
14
66
46
20
66
Grade
Well
4
3
7
0.443
4
3
7
0.579
Moderate
67
19
86
57
29
86
Poor
8
2
10
8
2
10
LN
-
32
17
49
0.009
28
21
49
0.043
+
47
7
54
41
13
54
Stage
I, II
30
16
46
0.013
27
19
46
0.108
III, IV
49
8
57
42
15
57
Citation: Chang YC, Chang JG, Liu TC, Lin CY, Yang SF, Ho CM, Chen WTL, Chang YS. Mutation analysis of 13 driver genes of colorectal cancer-related pathways in Taiwanese patients. World J Gastroenterol 2016; 22(7): 2314-2325