Sánchez-Vega F, Gotea V, Chen YC, Elnitski L. CpG island methylator phenotype in adenocarcinomas from the digestive tract: Methods, conclusions, and controversies. World J Gastrointest Oncol 2017; 9(3): 105-120 [PMID: 28344746 DOI: 10.4251/wjgo.v9.i3.105]
Corresponding Author of This Article
Laura Elnitski, PhD, Senior Investigator, Head, Genomic Functional Analysis Section, National Human Genome Research Institute, National Institutes of Health, 5625 Fishers Lane, Rockville, MD 20852, United States. elnitski@mail.nih.gov
Research Domain of This Article
Mathematical & Computational Biology
Article-Type of This Article
Frontier
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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 Gastrointest Oncol. Mar 15, 2017; 9(3): 105-120 Published online Mar 15, 2017. doi: 10.4251/wjgo.v9.i3.105
Table 1 Overview of previous studies of CpG island methylator phenotype in tumors from the gastrointestinal track
Year
Event
Ref.
1999
CIMP is first reported in a set of CRC patients
[5]
2004
Nature Reviews paper discussing CIMP in a variety of tumors besides CRC
[23]
2006
Refined molecular subtyping includes CIMP-low and CIMP-0 categories in CRC, with associations to KRAS mutations
[47]
New insights are gained about the interplay between BRAF V600E mutations, MSI status, MLH1 promoter methylation and CIMP in CRC
[14]
2006-2012
High throughput DNA methylation arrays become widely available, enabling the use of larger gene panels for CIMP characterization
[45,46]
2014
TCGA marker paper on gastric cancer highlights the biological relevance of CIMP for molecular subtyping, exploring associations with EBV infection
[64]
A better mechanistic understanding of CIMP in CRC is gained through elucidation of the role of MAFG in the context of MLH1 silencing and BRAF V600E mutations
[76]
2015
Pan-cancer stratification of solid tumors reveals similarities in CIMP across a wide variety of cancer types
[51]
Table 2 Gastrointestinal adenocarcinoma types, sample sizes, probe set sizes, and CpG island methylator phenotype status
Cancer type
Differentially methylated probes
Control samples
Tumor samples
CIMP-
CIMPi
CIMP+
EAC
6717
11
87
26
31
30
STAD
1110
2
260
109
95
56
COAD
2656
38
274
96
92
86
READ
1255
7
96
31
39
26
Table 3 Comparison between our CpG island methylator phenotype classification of stomach adenocarcinomas and the four subtypes defined by The Cancer Genome Atlas Research Network1
Table 5 Association between methylation and gene expression in tumor suppressor genes with significantly hypermethylated promoters in CpG island methylator phenotype + samples across four gastrointestinal adenocarcinoma types1
Differential methylation
Correlation with expression
Gene symbol
Promoter probes
Significant probes per cancer type
EAC
STAD
COAD
READ
COAD
EAC
READ
STAD
cor
p-val
cor
p-val
cor
p-val
cor
p-val
TP73
24
18
3
2
23
-0.34
4.E-01
-0.24
1.E-01
-0.10
1.E+00
-0.20
1.E+00
MAL
8
6
5
2
7
-0.37
3.E-01
-0.46
2.E-07
-0.47
7.E-09
-0.45
3.E-02
C2orf40
8
5
3
1
7
-0.51
2.E-03
-0.57
5.E-13
-0.39
2.E-05
-0.24
6.E-01
TMEFF2
7
7
7
7
7
-0.54
2.E-03
-0.49
2.E-08
-0.41
2.E-03
-0.32
5.E-01
ERBB4
6
7
7
2
7
-0.26
5.E-01
-0.15
5.E-01
NA
1.E+00
-0.30
6.E-01
TWIST2
5
5
4
1
4
-0.26
3.E-01
-0.33
3.E-04
-0.38
2.E-06
-0.37
3.E-02
LRRC3B
13
9
7
1
12
-0.36
5.E-01
-0.38
2.E-04
-0.41
4.E-03
-0.11
1.E+00
HTRA3
10
6
3
1
6
0.02
1.E+00
-0.03
1.E+00
-0.10
1.E+00
-0.07
1.E+00
UNC5C
13
13
13
8
13
-0.38
7.E-02
-0.34
5.E-04
-0.43
4.E-08
-0.40
3.E-02
FAT4
13
13
9
2
13
-0.33
2.E-01
-0.44
4.E-07
-0.34
4.E-05
-0.28
4.E-01
IRX1
5
3
4
3
4
-0.37
2.E-01
-0.37
3.E-04
NA
1.E+00
NA
1.E+00
SCGB3A1
9
9
4
2
9
-0.27
4.E-01
-0.37
3.E-05
-0.22
3.E-01
-0.12
1.E+00
AKAP12
10
9
5
1
10
-0.19
1.E+00
-0.42
1.E-06
-0.42
7.E-08
-0.27
6.E-01
DFNA5
12
10
8
1
9
-0.75
0.E+00
-0.56
1.E-12
-0.36
1.E-05
-0.34
1.E-01
TFPI2
15
22
14
19
22
-0.49
3.E-03
-0.54
2.E-11
-0.38
4.E-06
-0.22
1.E+00
NRCAM
7
6
1
1
6
-0.52
3.E-04
-0.47
2.E-08
-0.19
8.E-02
-0.17
1.E+00
CNTNAP2
14
14
11
1
14
-0.14
1.E+00
-0.27
2.E-02
-0.14
1.E+00
-0.12
1.E+00
PAX6
12
12
5
3
11
-0.22
1.E+00
-0.18
6.E-01
-0.04
1.E+00
-0.32
3.E-01
WT1
12
12
12
3
12
-0.25
1.E+00
-0.04
1.E+00
-0.26
8.E-03
-0.23
1.E+00
PHOX2A
11
11
6
5
11
-0.26
1.E+00
-0.13
1.E+00
-0.38
3.E-03
-0.26
1.E+00
WIF1
8
5
5
3
7
-0.57
2.E-03
-0.32
5.E-03
-0.44
9.E-07
-0.56
2.E-04
SLC5A8
9
11
10
4
12
-0.26
1.E+00
-0.28
2.E-01
-0.17
1.E+00
-0.33
9.E-01
TBX5
17
11
7
1
16
-0.32
5.E-01
-0.09
1.E+00
0.03
1.E+00
-0.16
1.E+00
ATP8A2
8
5
4
2
5
-0.28
1.E-01
-0.37
2.E-05
-0.24
5.E-03
-0.24
3.E-01
ADAMTS18
8
7
5
3
7
-0.27
3.E-01
-0.36
6.E-05
-0.34
5.E-05
-0.30
2.E-01
GALR1
29
27
5
8
27
-0.17
1.E+00
-0.47
2.E-04
0.00
1.E+00
-0.14
1.E+00
RASSF2
5
6
4
3
6
-0.52
5.E-04
-0.31
1.E-03
-0.41
1.E-07
-0.40
2.E-02
CDH4
3
2
2
2
4
-0.17
6.E-01
-0.09
8.E-01
-0.16
3.E-01
-0.32
1.E-01
Table 6 Genes differentially mutated between CpG island methylator phenotype+ and CpG island methylator phenotype- gastrointestinal adenocarcinoma samples1
Gene
Count CIMP+
% CIMP+
Count CIMP-
% CIMP-
P% Diff
P-value
FDR
Pathway
KMT2D
35
20.30%
10
4.30%
16.00%
6.22E-07
2.24E-05
Chromatin
ARID1A
60
34.90%
32
13.90%
21.00%
1.15E-06
2.24E-05
Chromatin
RNF43
42
24.40%
17
7.40%
17.10%
3.04E-06
3.79E-05
Wnt
CSF3R
19
11.00%
2
0.90%
10.20%
4.19E-06
3.79E-05
ERK
SOX7
14
8.10%
0
0.00%
8.10%
4.86E-06
3.79E-05
ERK
PIK3CA
48
27.90%
26
11.30%
16.70%
2.62E-05
1.70E-04
PI3K/RAS
PAX6
17
9.90%
2
0.90%
9.00%
3.96E-05
2.21E-04
Differentiation
ATM
37
21.50%
17
7.40%
14.20%
5.05E-05
2.46E-04
DNA damage
KRAS
52
30.20%
32
13.90%
16.40%
1.04E-04
4.53E-04
PI3K/RAS
EGR1
15
8.70%
2
0.90%
7.90%
1.63E-04
6.37E-04
Differentiation
GATA3
19
11.00%
5
2.20%
8.90%
2.22E-04
7.87E-04
NF-KB
KMT2C
38
22.10%
22
9.50%
12.60%
6.15E-04
2.00E-03
Chromatin
ALDH2
10
5.80%
1
0.40%
5.40%
1.18E-03
3.30E-03
Metabolic
CDK12
18
10.50%
6
2.60%
7.90%
1.18E-03
3.30E-03
PI3K/RAS
SAFB
15
8.70%
4
1.70%
7.00%
1.44E-03
3.73E-03
Chromatin
BCOR
19
11.00%
7
3.00%
8.00%
1.68E-03
4.09E-03
Chromatin
PTEN
24
14.00%
11
4.80%
9.20%
1.97E-03
4.32E-03
PI3K/RAS
AXIN2
21
12.20%
9
3.90%
8.30%
2.00E-03
4.32E-03
Wnt
CTCF
14
8.10%
4
1.70%
6.40%
2.73E-03
5.41E-03
Chromatin
PALB2
11
6.40%
2
0.90%
5.50%
2.77E-03
5.41E-03
DNA repair
ERBB3
18
10.50%
7
3.00%
7.40%
2.96E-03
5.49E-03
PI3K/RAS
ERBB4
29
16.90%
17
7.40%
9.50%
4.05E-03
6.97E-03
PI3K/RAS
FBXW7
32
18.60%
20
8.70%
9.90%
4.11E-03
6.97E-03
Notch
CIC
23
13.40%
12
5.20%
8.20%
6.55E-03
1.06E-02
Proliferation
HLA.A
17
9.90%
8
3.50%
6.40%
1.13E-02
1.71E-02
Immune
MSH6
19
11.00%
10
4.30%
6.70%
1.14E-02
1.71E-02
MMR
ERBB2
15
8.70%
8
3.50%
5.30%
2.98E-02
4.21E-02
PI3K/RAS
CASP8
13
7.60%
6
2.60%
5.00%
3.02E-02
4.21E-02
Apoptosis
SMAD4
27
15.70%
20
8.70%
7.00%
4.05E-02
5.45E-02
Wnt
TFE3
6
3.50%
1
0.40%
3.10%
4.53E-02
5.90E-02
Wnt
APC
82
47.70%
87
37.70%
10.00%
5.24E-02
6.60E-02
Wnt
NRAS
10
5.80%
5
2.20%
3.60%
6.55E-02
7.74E-02
PI3K/RAS
SMARCB1
10
5.80%
5
2.20%
3.60%
6.55E-02
7.74E-02
Chromatin
IGFBP7
3
1.70%
0
0.00%
1.70%
7.70E-02
8.65E-02
DNA Damage
TBL1XR1
6
3.50%
2
0.90%
2.60%
7.76E-02
8.65E-02
Wnt
Citation: Sánchez-Vega F, Gotea V, Chen YC, Elnitski L. CpG island methylator phenotype in adenocarcinomas from the digestive tract: Methods, conclusions, and controversies. World J Gastrointest Oncol 2017; 9(3): 105-120