Literature DB >> 27310704

Adverse prognostic impact of the CpG island methylator phenotype in metastatic colorectal cancer.

Yongjun Cha1, Kyung-Ju Kim2, Sae-Won Han1,3, Ye Young Rhee2, Jeong Mo Bae2, Xianyu Wen2, Nam-Yun Cho2, Dae-Won Lee1, Kyung-Hun Lee1, Tae-Yong Kim1, Do-Youn Oh1,3, Seock-Ah Im1,3, Yung-Jue Bang1,3, Seung-Yong Jeong4, Kyu Joo Park4, Gyeong Hoon Kang2, Tae-You Kim1,3,5.   

Abstract

BACKGROUND: The association between the CpG island methylator phenotype (CIMP) and clinical outcomes in metastatic colorectal cancer remains unclear. We investigated the prognostic impact of CIMP in patients with metastatic colorectal cancer treated with systemic chemotherapy.
METHODS: Eight CIMP-specific promoters (CACNA1G, IGF2, NEUROG1, RUNX3, SOCS1, CDKN2A, CRABP1, and MLH1) were examined. The CIMP status was determined by the number of methylated promoters as high (⩾5), low (1-4), and negative (0).
RESULTS: A total of 153 patients were included (men/women, 103/50; median age, 61 years; range, 22-80 years). The CIMP status was negative/low/high in 77/ 69/7 patients, respectively. Overall survival (OS) was significantly different among the three CIMP groups, with median values of 35.7, 22.2, and 9.77 months for the negative, low, and high groups, respectively (P<0.001). For patients treated with fluoropyrimidine and oxaliplatin first-line chemotherapy (N=128), OS and progression-free survival (PFS) were significantly different among the three CIMP groups; the median OS was 37.9, 23.8, and 6.77 months for the negative, low, and high groups, respectively (P<0.001), while the median PFS was 9.97, 7.87, and 1.83 months, respectively (P=0.002). Response rates were marginally different among the three CIMP groups (53.4% vs 45.1% vs 16.7%, respectively; P=0.107). For patients treated with fluoropyrimidine and irinotecan second-line chemotherapy (N=86), only OS showed a difference according to the CIMP status, with median values of 20.4, 13.4, and 2.90 months for the negative, low, and high groups, respectively (P<0.001).
CONCLUSIONS: The CIMP status is a negative prognostic factor for patients with metastatic colorectal cancer treated with chemotherapy.

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Year:  2016        PMID: 27310704      PMCID: PMC4947699          DOI: 10.1038/bjc.2016.176

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Colorectal cancer (CRC) represents one of the major types of cancer and accounts for a high annual mortality rate worldwide (Siegel ). Approximately 20% patients with CRC present with distant metastasis at the time of diagnosis, and approximately 10% patients with early-stage disease eventually develop metastatic disease, which leads to death in many (Siegel ). The CpG island methylator phenotype (CIMP) is one of the key molecular alterations of CRC that exhibits extensive methylation in promoter CpG island regions (Hughes ). CIMP-high CRC accounts for 7–29% and 6–14% cases in Western and Eastern populations, respectively (Kim and Kang, 2014), and has been associated with distinct clinicopathological characteristics, including older age, female sex, proximal tumour location, poorly differentiated histology, BRAF mutations, and microsatellite instability (MSI) (Ogino ). With regard to the prognostic significance of CIMP in CRC, overall negative associations between the CIMP status and clinical outcomes have been reported in studies including patients with early and locally advanced disease (Van Rijnsoever ; Shen ; Ogino ; Iacopetta ; Kim , 2011; Bae , 2013; Jover ; Min ; Sadanandam , 2014; Kim and Kang, 2014; Martinez-Garcia ; Shiovitz ; Sistigu ). A recent meta-analysis of 19 studies also showed that the CIMP status is independently associated with significantly decreased disease-free survival and overall survival (OS) in patients with CRC (Juo ). Therefore, current knowledge suggests that the CIMP status is associated with adverse outcomes, particularly in patients with early and locally advanced CRC. However, the studies included in the meta-analysis were very heterogeneous with regard to patient characteristics, including chemotherapy regimens and MSI status, and methodologies, such as CIMP status definitions and methylation analyses. However, the prognostic significance of CIMP in metastatic CRC has not been clearly defined. Most CIMP studies included patients with stage 1–4 disease, with a limited number of patients with stage 4 disease. Moreover, among the studies included in the meta-analysis, only one specifically analysed the CIMP status in patients with stage 4 CRC (Ogino ). Metastatic CRC differs from early and locally advanced disease in that chemotherapy has a central role in management. Furthermore, other patient characteristics, including the extent of metastasis and the performance status, affect the prognosis of these patients. Therefore, the prognostic role of CIMP in early and locally advanced disease cannot be directly extrapolated to metastatic CRC. To elucidate this role, studies focusing on patients with metastatic disease are necessary. Therefore, we conducted the present study to evaluate the clinical implications of CIMP in patients with metastatic CRC treated with palliative chemotherapy by determining the relationship between the CIMP status and clinicopathological characteristics and clinical outcomes, including survival and response to chemotherapy.

Patients and methods

Patients and systemic chemotherapy regimens

The eligibility criteria for this retrospective study were as follows: diagnosis of metastatic colorectal adenocarcinoma, sporadic cancer without a family history, age >18 years, initiation of palliative systemic chemotherapy at Seoul National University Hospital (SNUH) from January 2009 to December 2012, adequate organ function, and donation of surgical tissue to the SNUH Tumor Bank. The study protocol was reviewed and approved by the Institutional Review Board of SNUH. The study was conducted in accordance with the recommendations of the Declaration of Helsinki for biomedical research involving human subjects. Patients were treated with one of the following systemic chemotherapy regimens: FOLFOX [oxaliplatin (85 mg m−2 intravenous; i.v.), leucovorin (400 mg m−2 i.v.), and 5-fluorouracil (400 mg m−2 i.v. bolus followed by 2400 mg m−2 continuous i.v. over 46 h) every 2 weeks], XELOX [oxaliplatin (130 mg m−2 i.v. on day 1) and capecitabine (1000 mg m−2 p.o. twice a day for 2 weeks) every 3 weeks], SOX [oxaliplatin (130 mg m−2 i.v. on day 1) and S-1 (40 mg m−2 twice a day for 2 weeks) every 3 weeks], FOLFIRI [irinotecan (180 mg m−2 i.v.), leucovorin (200 mg m−2 i.v. on days 1 and 2), and 5-fluorouracil (400 mg m−2 i.v. bolus followed by 600 mg m−2 continuous i.v. over 22 h on days 1 and 2) every 2 weeks], XELIRI [irinotecan (250 mg m−2 i.v. on day 1) and capecitabine (1000 mg m−2 p.o. twice a day for 2 weeks) every 3 weeks], and capecitabine alone [capecitabine (1250 mg m−2 p.o. twice a day for 2 weeks) every 3 weeks]. At the physician's discretion, bevacizumab (5 mg kg−1 i.v. on day 1 of each cycle of FOLFOX/FOLFIRI or 7.5 mg kg−1 i.v. on day 1 of each cycle of XELOX/XELIRI) or cetuximab (400 mg m−2 i.v. on day 1 and 250 mg m−2 on day 8 and weekly thereafter) was combined with cytotoxic chemotherapy. Computed tomography (CT) was performed every four cycles for biweekly regimens and three cycles for three-weekly regimens during the chemotherapy period or earlier if disease progression was suspected. Disease progression was defined on the basis of the CT findings.

Methylation analyses

Only primary tumours were subjected to methylation, mutation, and microsatellite analyses. Analysis of DNA methylation was performed as previously described (Kang ; Kim ). Tumour DNA samples were bisulphite-modified using the EZ DNA methylation kit (Zymo Research, Orange, CA, USA) and analysed for methylation in eight CIMP-specific CpG island loci (CACNA1G, IGF2, NEUROG1, RUNX3, SOCS1, CDKN2A, CRABP1, and MLH1) using a methylation-specific, probe-based, real-time PCR method (the MethyLight assay). The PCR conditions have been described previously (Weisenberger ; Kang ; Kim ). The detailed primer information is provided in Supplementary Material 1. The methylation status at each locus was reported as a percentage of methylated reference (PMR) (Kim ). The MethyLight assay was repeated in triplicate, and of the three measured values, the median was considered the representative value for the methylation level of each marker. Each marker was considered methylated when the median PMR was >4. The CIMP status was considered high when ⩾5 methylated promoters were identified, low when 1–4 methylated promoters were identified, and negative when no methylated promoters were identified (Ogino ; Kim ; Han ).

Mutation and microsatellite analyses

BRAF mutations at codon 600 (V600E) were analysed using pyrosequencing. The microsatellite status was studied by evaluating five microsatellite markers (D2S123, D5S346, D17S250, BAT25, and BAT26), as previously described (Han ; Lee ). Either forward or reverse primers for each marker were labelled with fluorescence, and the PCR products were subjected to electrophoresis and analysed. The MSI status was classified as follows: high (instability at ⩾two microsatellite markers), low (instability at one marker), and microsatellite stable (MSS). Only patients with the MSI-high status were considered positive for MSI, while those with the MSI-low status and MSS were grouped together.

Statistical analysis

The primary aim of the present study was to determine the effects of the CIMP status on clinical outcomes in patients with metastatic CRC. Overall survival was calculated from the date of treatment initiation to the date of death from any cause. Progression-free survival (PFS) was defined as the time interval from the date of treatment initiation to the date of disease progression or death from any cause. Categorical variables were compared using Pearson's χ2 test or Fisher's exact test. The Mantel–Haenszel linear-by-linear association χ2 test was used to analyse the linear trend of ordinal and categorical variables according to the CIMP status. For estimation of OS and PFS, the Kaplan–Meier method was used, and comparisons were made using log-rank tests. To adjust for baseline characteristics, we performed multivariable analysis with a Cox proportional hazard model using a backward stepwise elimination approach. Age (continuous variable), sex, differentiation (well-differentiated to moderately differentiated vs poorly differentiated), tumour location (proximal vs distal), number of metastatic organs (1–2 vs ⩾3), Eastern Cooperative Oncology Group (ECOG) performance status (0 vs ⩾1), serum carcinoembryonic antigen (CEA) level (⩽5 vs >5 ng ml−1), BRAF mutation status, and MSI status (MSI-high vs MSI-low/MSS) were included as covariates on the basis of previous studies on metastatic CRC (Bae ; Park ). Two-sided P-values of <0.05 were considered statistically significant. All statistical analyses were performed using IBM SPSS Statistics for Windows, version 20.0 (IBM Corp., Armonk, NY, USA). This study was analysed and reported according to the REporting recommendations for tumour MARKer prognostic studies (REMARK) (McShane ).

Results

Patient characteristics

A total of 153 patients were included (Figure 1). Tumour specimens were collected from August 2008 to April 2013. The patient characteristics are described in Table 1. The primary tumour locations included the caecum in seven patients, ascending colon in 26, transverse colon in nine, descending colon in 10, sigmoid colon in 62, and rectum in 39. Collectively, 42 patients (27.5%) exhibited proximal (caecum to transverse colon) lesions and 112 (72.5%) exhibited distal lesions. In total, 138 (90.2%) patients were diagnosed with initial metastatic disease and 15 (9.8%) with recurrent disease. According to the inclusion criteria, all patients had undergone resection of the primary tumour. Primary tumour resection and tissue sampling were performed before the initiation of palliative chemotherapy in 132 patients with initial metastatic disease and after the initiation of chemotherapy in the remaining 6 patients. In addition, 15 patients with recurrent disease had undergone curative surgery for the primary tumour, 12 of whom also received adjuvant chemotherapy.
Figure 1

REporting recommendations for tumour MARKer prognostic studies (REMARK) diagram describes flow of the study cohort, including number of patients included in each stage of the study ( SNUH, Seoul National University Hospital.

Table 1

Patient characteristics and the CIMP status

 TotalCIMP-negative (%)CIMP-low (%)CIMP-high (%) 
 n=153n=77n=69n=7Pa
Age
Median (range)61 (22–80)    
 <65 years92 (60.1)50 (64.9)39 (56.5)3 (42.9)0.166
 ⩾65 years61 (39.9)27 (35.1)30 (43.5)4 (57.1) 
Sex
Male103 (67.3)50 (64.9)50 (72.5)3 (42.9)0.971
Female50 (32.7)27 (35.1)19 (27.5)4 (57.1) 
Location
Proximal42 (27.5)18 (23.4)18 (26.1)6 (85.7)0.025
Distal111 (72.5)59 (76.6)51 (73.9)1 (14.3) 
Histology
Non-MAC141 (92.2)71 (92.2)63 (91.3)7 (100)0.793
MAC12 (7.8)6 (7.8)6 (8.7)0 (0) 
Differentiation
Well to moderate139 (90.8)75 (97.4)59 (85.5)5 (71.4)0.002
Poor14 (9.2)2 (2.6)10 (14.5)2 (28.6) 
BRAF status
Wild type146 (95.4)76 (98.7)64 (92.8)6 (85.7)0.034
Mutant7 (4.6)1 (1.3)5 (7.2)1 (14.3) 
MSI
MSS+MSI-low143 (93.5)75 (98.7)62 (91.2)6 (85.7)0.023
MSI-high8 (5.2)1 (1.3)6 (8.8)1 (14.3) 
No. of metastatic organs
187 (56.9)43 (55.8)41 (59.4)3 (42.9)0.647
253 (34.6)29 (37.7)21 (30.4)3 (42.9) 
⩾ 313 (8.5)5 (6.5)7 (10.1)1 (14.3) 
ECOG scale
033 (21.6)16 (20.8)17 (24.6)0 (0)0.693
1114 (74.5)56 (72.7)51 (73.9)7 (100) 
26 (4.0)5 (6.5)1 (1.4)0 (0) 
CEA
<5.0 ng ml−158 (37.9)28 (36.4)26 (37.7)4 (57.1)0.47
⩾5.0 ng ml−195 (62.1)49 (63.6)43 (62.3)3 (42.9) 

Abbreviations: CEA=carcinoembryonic antigen; CIMP=CpG island methylator phenotype; ECOG=eastern cooperative oncology group; MAC=mucinous adenocarcinoma; MSI=microsatellite instability; MSS=microsatellite stable; No.=number.

P-values were calculated by Mantel–Haenszel linear-by-linear association χ2 test.

The first-line chemotherapy regimens included fluoropyrimidine and oxaliplatin in 128 patients (FOLFOX in 114, XELOX in 11, and SOX in three), FOLFIRI in 18, and capecitabine in seven. Bevacizumab or cetuximab was combined for five and two patients, respectively. Second-line chemotherapy was administered to 119 (77.8%) patients. As second-line agents, fluoropyrimidine and irinotecan were used for 86 patients (FOLFIRI in 84 and XELIRI in 2), fluoropyrimidine and oxaliplatin for 28 (FOLFOX in 25 and XELOX in 3), and capecitabine for 5. Bevacizumab or cetuximab was added for five and four patients, respectively. The median follow-up duration after the diagnosis of metastatic CRC was 41.8 months [95% confidence interval (CI), 36.8–46.8]. At the time of the last follow-up (November 2014), 103 patients (67.3%) had succumbed, and the median OS was 27.0 months (95% CI, 22.4–31.6).

CIMP status and clinicopathological characteristics

Methylation was observed at ⩾1 loci in 76 (49.7%) patients. In all, 7 (4.6%) patients exhibited ⩾5 methylated loci (CIMP-high), 69 (45.1%) exhibited 1–4 methylated loci (CIMP-low), and 77 (50.3%) exhibited no methylated loci (CIMP-negative). CDKN2A was the most frequently methylated locus (60 patients; 39.2%), followed by CRABP1 (34; 22.2%), NEUROG1 (20; 13.1%), IGF2 (12; 7.8%), SOCS1 (10; 6.5%), CACNA1G (9; 5.9%), RUNX3 (7; 4.6%), and MLH1 (1; 0.7%). Methylation was more frequently observed in tumours with a proximal location, poor differentiation, BRAF mutations, and an MSI-high status (Table 1). There was no significant difference in the methylation status according to the number of metastatic organs or the timing of primary tumour resection.

CIMP status and clinical outcomes

Overall survival after the initiation of palliative chemotherapy was significantly different among the three CIMP groups (P<0.001; Figure 2). The median OS was 35.7 months (95% CI, 30.5–40.9) for the CIMP-negative group, 22.2 months (95% CI, 17.2–27.2) for the CIMP-low group, and 9.77 months (95% CI, 2.07–17.5) for the CIMP-high group. Multivariable analysis revealed that the adjusted hazard ratios (aHRs) for OS were 2.29 (95% CI, 1.50–3.49) and 11.3 (95% CI, 4.72–26.8) for the CIMP-low and CIMP-high groups, respectively (both P<0.001; Table 2).
Figure 2

Kaplan–Meier curves for overall survival (OS) according to the CpG island methylator phenotype (CIMP) status in patients with metastatic colorectal cancer treated with chemotherapy. OS was significantly different among the three CIMP groups, with a median of 35.7 months for the negative group, 22.2 months for the low group, and 9.77 months for the high group (P<0.001).

Table 2

Multivariable analysis of overall survival in the overall population

 Overall survival
Covariates in the final modelAdjusted HR (95% CI)P
Age1.02 (1.01–1.04)0.013
Female (N=49)1.70 (1.10–2.62)0.017
ECOG ⩾1 (N=119)1.88 (1.06–3.36)0.032
Metastatic organ ⩾3 (N=11)5.27 (2.50–11.1)<0.001
CIMP-high (N=7)11.3 (4.72–26.8)<0.001
CIMP-low (N=68)2.29 (1.50–3.49)<0.001

Abbreviations: CI, confidence interval; CIMP=CpG island methylator phenotype; ECOG=Eastern Cooperative Oncology Group; HR=hazard ratio.

To increase homogeneity, patients treated with fluoropyrimidine and oxaliplatin first-line chemotherapy (N=128) were analysed. In line with the overall population, OS was significantly better for the CIMP-negative group (P<0.001; Figure 3A), with median values of 37.9 (95% CI, 31.6–44.2), 23.8 (95% CI, 17.9–29.7), and 6.77 (95% CI, 3.09–10.5) months for the CIMP-negative, CIMP-low, and CIMP-high groups, respectively. Similar results were observed for PFS, with higher survival values derived for the CIMP-negative group (P=0.002; Figure 3B). The median PFS was 9.97 (95% CI, 8.10–11.8), 7.87 (95% CI, 5.95–9.79), and 1.83 (95% CI, 1.55–2.11) months for the CIMP-negative, CIMP-low, and CIMP-high groups, respectively. RR showed a marginal difference according to the CIMP status (P=0.107): 53.4%, 45.1%, and 16.7%, respectively. The significant differences in OS and PFS among the three CIMP groups of patients treated with fluoropyrimidine and oxaliplatin first-line chemotherapy were maintained after adjusting for potential confounding variables in multivariable analysis (Table 3). Adjusted hazard ratios for OS were 2.34 (1.45–3.76) and 11.9 (4.62–30.8) for the CIMP-low and CIMP-high groups, respectively (both P<0.001), while those for PFS were 1.82 (1.17–2.84; P=0.008) and 3.53 (1.47–8.48; P=0.005), respectively.
Figure 3

Kaplan–Meier curves for overall survival and progression-free survival according to the CpG island methylator phenotype (CIMP) status in patients treated with fluoropyrimidine plus oxaliplatin first-line chemotherapy ( For patients treated with fluoropyrimidine and oxaliplatin first-line chemotherapy, OS and PFS were significantly different among the three CIMP groups (median OS 37.9 vs 23.8 vs 6.77 months for the negative, low, and high groups, P<0.001; median PFS 9.97 vs 7.87 vs 1.83 months for the negative, low, and high groups, respectively, P=0.002). For patients treated with fluoropyrimidine and irinotecan second-line chemotherapy, only OS was different among the three CIMP groups (median OS 20.4 vs 13.4 vs 2.90 months for the negative, low, and high groups, P<0.001; median PFS 4.83 vs 4.40 vs 1.63 months for the negative, low, and high groups, respectively, P=0.226).

Table 3

Multivariable analysis of overall and progression-free survival in patients treated with fluoropyrimidine plus oxaliplatin first-line chemotherapy and fluoropyrimidine plus irinotecan second-line chemotherapy

 Overall survival
 Progression-free survival
Covariates in the final modelAdjusted HR (95% CI)PCovariates in the final modelAdjusted HR (95% CI)P
Fluoropyrimidine and oxaliplatin first-line chemotherapy (N=128)
Age1.02 (1.00–1.05)0.034ECOG ⩾ 1 (N=96)1.95 (1.15–3.33)0.013
Female (N=38)1.60 (0.959–2.66)0.072Metastatic organ ⩾ 3 (N=9)2.46 (1.10–5.48)0.028
ECOG ⩾1 (N=96)1.70 (0.929–3.09)0.085CIMP-high (N=6)3.53 (1.47–8.48)0.005
Metastatic organ ⩾3 (N=9)5.41 (2.36–12.4)<0.001CIMP-low (N=54)1.82 (1.17–2.84)0.008
CIMP-high (N=6)11.9 (4.62–30.8)<0.001   
CIMP-low (N=54)2.34 (1.45–3.76)<0.001   
Fluoropyrimidine and irinotecan second-line chemotherapy (N=86)
Female (N=30)1.85 (1.03–3.34)0.04Female (N=30)2.06 (1.21–3.48)0.007
Metastatic organ ⩾3 (N=6)3.70 (1.39–9.83)0.009ECOG ⩾1 (N=66)1.80 (0.991–3.26)0.054
CEA ⩾5.0 ng ml−1 (N=54)2.27 (1.22–4.24)0.01CEA ⩾5.0 ng ml−1 (N=54)1.89 (1.11–3.24)0.02
CIMP-high (N=5)29.1 (9.01–94.0)<0.001MSS/MSI-low (N=81)3.81 (0.86–16.9)0.078
CIMP-low (N=35)2.25 (1.28–3.94)0.005CIMP-high (N=5)3.50 (1.16–10.6)0.027
   CIMP-low (N=35)1.39 (0.841–2.28)0.2

Abbreviations: CEA=carcinoembryonic antigen; CI, confidence interval; CIMP=CpG island methylator phenotype; ECOG=Eastern Cooperative Oncology Group; HR=hazard ratio; MSI=microsatellite instability; MSS=microsatellite stable.

For patients treated with fluoropyrimidine and irinotecan second-line chemotherapy (N=86), OS following second-line therapy was significantly different among the three CIMP groups (P<0.001; Figure 3C), with median values of 20.4 (95% CI, 6.06–34.7), 13.4 (95% CI, 12.4–14.4), and 2.90 (95% CI, 0.173–5.63) months for the CIMP-negative, CIMP-low, and CIMP-high groups, respectively. However, PFS showed no differences (P=0.226; Figure 3D), with median values of 4.83 (95% CI, 3.66–6.00), 4.40 (95% CI, 2.13–6.67), and 1.63 (95% CI, 0.278–2.98) months, respectively. RR also showed no differences (P=0.482), with values of 11.6%, 20.6%, and 0.0%, respectively. In multivariable analysis, OS showed a significant difference according to the CIMP status (Table 3), with aHRs of 2.25 (95% CI, 1.28–3.94; P=0.005) and 29.1 (95% CI, 9.01–94.0; P<0.001) for the CIMP-low and CIMP-high groups, respectively. In addition to the CIMP status, we analysed clinical outcomes with regard to the methylation status at each locus. MLH1 was excluded, because only one (0.7%) patient showed positive methylation. Methylation at all individual loci except SOCS1 and RUNX3 (CACNA1G, IGF2, NEUROG1, CDKN2A, and CRABP1) was associated with shorter OS in multivariable analysis. Notably, methylation at IGF2 and NEUROG1 was associated with significantly shorter OS and PFS in patients treated with fluoropyrimidine plus oxaliplatin first-line chemotherapy and those treated with fluoropyrimidine plus irinotecan second-line chemotherapy (Supplementary Material 2). We also analysed clinical outcomes with the number of methylated CIMP loci as a continuous variable in multivariable analysis. The higher number of methylated loci was significantly associated with shortened OS and PFS in the overall population, as well as among patients treated with oxaliplatin based first- and irinotecan-based second-line chemotherapy (Supplementary Material 3).

Discussion

In the present study, we aimed to assess the clinical implications of the CIMP status in patients with metastatic CRC treated with systemic chemotherapy. For this purpose, quantitative analyses using MethyLight technology were performed to evaluate DNA methylation in eight markers (CACNA1G, IGF2, NEUROG1, RUNX3, SOCS1, CDKN2A, CRABP1, and MLH1) originally proposed by Ogino , 2007a). The presence of ⩾5 methylated promoters was considered to represent a CIMP-high status, because the clinicopathological characteristics of CIMP-high tumours were shown to have the best correlation with a cutoff value of 5 in our previous studies (Kim ; Bae , 2013). In the present study, the CIMP status was associated with adverse clinical outcomes in metastatic CRC, and this prognostic impact was maintained with first- and second-line chemotherapy regimens. To the best of our knowledge, this is the largest study evaluating the relationship between the CIMP status and clinical outcomes in metastatic CRC treated with chemotherapy. In a smaller study including 30 previously untreated metastatic tumours treated with first-line chemotherapy with irinotecan, leucovorin, 5-fluorouracil, and gefitinib, a CIMP-high status was associated with a decreased median survival duration (0.9 vs 1.9 years) (Ogino ). When analysed by individual markers, methylation of CACNA1G, IGF2, NEUROG1, RUNX3, MLH1, MINT31, and WRN was associated with poor survival, while that of CDKN2A, CRABP1, SOCS1, MINT1, IGFBP3, and MGMT was not. Although this study included only a small number of patients with metastatic CRC treated with unconventional chemotherapy regimens, the findings are consistent with those of the present study. The finding of a negative prognostic effect of the CIMP status in the present study is also consistent with the findings of the recent meta-analysis mentioned earlier and suggests that the adverse influence of the CIMP status on clinical outcomes also applies to metastatic CRC (Juo ). Because our study includes the largest and most homogeneous population of patients with metastatic CRC treated with standard chemotherapy regimens, we believe our findings provide the most clinically significant evidence on the prognostic implications of CIMP in metastatic CRC. In the present study, we further investigated the treatment outcomes in terms of OS, PFS, and objective response in patient groups treated with oxaliplatin-based first-line and irinotecan-based second-line treatments to determine the influence of the CIMP status in different treatment settings. For patients treated with fluoropyrimidine and oxaliplatin first-line chemotherapy, the CIMP status was associated with decreased OS and PFS and a trend towards non-response. For patients treated with fluoropyrimidine and irinotecan second-line treatment, the CIMP status was correlated with poor OS and a trend for poor PFS. Although our study analysed a single treatment arm, making it difficult to determine whether the negative impact of the CIMP status on treatment outcomes is prognostic or predictive in nature, an apparently stronger association in patients treated with oxaliplatin-based chemotherapy regimens than in those treated with irinotecan-based chemotherapy regimens suggests that the CIMP status may interact with the chemotherapy regimen. In a recent exploratory analysis of patients with stage III CRC treated with 5-fluorouracil and leucovorin alone (FL) or irinotecan (IFL), CIMP-positive patients treated with IFL showed a trend towards increased OS compared with those treated with FL (Shiovitz ). The potential interaction between the CIMP status and chemotherapy should be assessed in future studies with multiple treatment arms. CIMP is believed to promote carcinogenesis through methylation-mediated transcriptional silencing in tumour suppressor genes (Coppede, 2014). However, the role of CIMP in the pathogenesis of CRC and the mechanism underlying its prognostic and/or predictive influence remain largely unknown. Whether abnormal global DNA methylation or local methylation in some CIMP loci is responsible for different outcomes remains unclear. In this context, our finding that individual CIMP loci as well as the CIMP status are associated with treatment outcomes can be interesting. The stronger association of methylated IGF2 and NEUROG1 loci with treatment outcomes compared with that of other loci in the present study deserves further investigation focused on a mechanistic understanding. In conclusion, the results of our study suggest that the CIMP status is associated with unfavourable clinical outcomes in patients with metastatic CRC treated with chemotherapy, and that the negative prognostic impact is maintained throughout first- and second-line chemotherapy regimens.
  30 in total

1.  5-Fluorouracil adjuvant chemotherapy does not increase survival in patients with CpG island methylator phenotype colorectal cancer.

Authors:  Rodrigo Jover; Thuy-Phuong Nguyen; Lucía Pérez-Carbonell; Pedro Zapater; Artemio Payá; Cristina Alenda; Estefanía Rojas; Joaquín Cubiella; Francesc Balaguer; Juan D Morillas; Juan Clofent; Luis Bujanda; Josep M Reñé; Xavier Bessa; Rosa M Xicola; David Nicolás-Pérez; Antoni Castells; Montserrat Andreu; Xavier Llor; C Richard Boland; Ajay Goel
Journal:  Gastroenterology       Date:  2010-12-24       Impact factor: 22.682

2.  CpG island methylator phenotype is associated with response to adjuvant irinotecan-based therapy for stage III colon cancer.

Authors:  Stacey Shiovitz; Monica M Bertagnolli; Lindsay A Renfro; Eunmi Nam; Nathan R Foster; Slavomir Dzieciatkowski; Yanxin Luo; Victoria Valinluck Lao; Raymond J Monnat; Mary J Emond; Nancy Maizels; Donna Niedzwiecki; Richard M Goldberg; Leonard B Saltz; Alan Venook; Robert S Warren; William M Grady
Journal:  Gastroenterology       Date:  2014-05-21       Impact factor: 22.682

3.  CpG island methylator phenotype, microsatellite instability, BRAF mutation and clinical outcome in colon cancer.

Authors:  Shuji Ogino; Katsuhiko Nosho; Gregory J Kirkner; Takako Kawasaki; Jeffrey A Meyerhardt; Massimo Loda; Edward L Giovannucci; Charles S Fuchs
Journal:  Gut       Date:  2008-10-02       Impact factor: 23.059

4.  The CpG island methylator phenotype: what's in a name?

Authors:  Laura A E Hughes; Veerle Melotte; Joachim de Schrijver; Michiel de Maat; Vincent T H B M Smit; Judith V M G Bovée; Pim J French; Piet A van den Brandt; Leo J Schouten; Tim de Meyer; Wim van Criekinge; Nita Ahuja; James G Herman; Matty P Weijenberg; Manon van Engeland
Journal:  Cancer Res       Date:  2013-06-25       Impact factor: 12.701

5.  Precision and performance characteristics of bisulfite conversion and real-time PCR (MethyLight) for quantitative DNA methylation analysis.

Authors:  Shuji Ogino; Takako Kawasaki; Mohan Brahmandam; Mami Cantor; Gregory J Kirkner; Donna Spiegelman; G Mike Makrigiorgos; Daniel J Weisenberger; Peter W Laird; Massimo Loda; Charles S Fuchs
Journal:  J Mol Diagn       Date:  2006-05       Impact factor: 5.568

6.  CpG island methylator phenotype (CIMP) of colorectal cancer is best characterised by quantitative DNA methylation analysis and prospective cohort studies.

Authors:  S Ogino; M Cantor; T Kawasaki; M Brahmandam; G J Kirkner; D J Weisenberger; M Campan; P W Laird; M Loda; C S Fuchs
Journal:  Gut       Date:  2006-01-11       Impact factor: 23.059

7.  A colorectal cancer classification system that associates cellular phenotype and responses to therapy.

Authors:  Anguraj Sadanandam; Costas A Lyssiotis; Krisztian Homicsko; Eric A Collisson; William J Gibb; Stephan Wullschleger; Liliane C Gonzalez Ostos; William A Lannon; Carsten Grotzinger; Maguy Del Rio; Benoit Lhermitte; Adam B Olshen; Bertram Wiedenmann; Lewis C Cantley; Joe W Gray; Douglas Hanahan
Journal:  Nat Med       Date:  2013-04-14       Impact factor: 53.440

8.  DNA methylation profiles of gastric carcinoma characterized by quantitative DNA methylation analysis.

Authors:  Gyeong Hoon Kang; Sun Lee; Nam-Yun Cho; Tasha Gandamihardja; Tiffany I Long; Daniel J Weisenberger; Mihaela Campan; Peter W Laird
Journal:  Lab Invest       Date:  2007-12-24       Impact factor: 5.662

9.  The CpG island methylator phenotype may confer a survival benefit in patients with stage II or III colorectal carcinomas receiving fluoropyrimidine-based adjuvant chemotherapy.

Authors:  Byung-Hoon Min; Jeong Mo Bae; Eui Jin Lee; Hong Suk Yu; Young-Ho Kim; Dong Kyung Chang; Hee Cheol Kim; Cheol Keun Park; Suk-Hee Lee; Kyoung-Mee Kim; Gyeong Hoon Kang
Journal:  BMC Cancer       Date:  2011-08-10       Impact factor: 4.430

10.  REporting recommendations for tumour MARKer prognostic studies (REMARK).

Authors:  L M McShane; D G Altman; W Sauerbrei; S E Taube; M Gion; G M Clark
Journal:  Br J Cancer       Date:  2005-08-22       Impact factor: 7.640

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  19 in total

1.  Classifying Colorectal Cancer by Tumor Location Rather than Sidedness Highlights a Continuum in Mutation Profiles and Consensus Molecular Subtypes.

Authors:  Jonathan M Loree; Allan A L Pereira; Michael Lam; Alexandra N Willauer; Kanwal Raghav; Arvind Dasari; Van K Morris; Shailesh Advani; David G Menter; Cathy Eng; Kenna Shaw; Russell Broaddus; Mark J Routbort; Yusha Liu; Jeffrey S Morris; Rajyalakshmi Luthra; Funda Meric-Bernstam; Michael J Overman; Dipen Maru; Scott Kopetz
Journal:  Clin Cancer Res       Date:  2017-11-27       Impact factor: 12.531

2.  Clinical and prognosis value of the CIMP status combined with MLH1 or p16 INK4a methylation in colorectal cancer.

Authors:  Amana Saadallah-Kallel; Rania Abdelmaksoud-Dammak; Mouna Triki; Slim Charfi; Abdelmajid Khabir; Tahia Sallemi-Boudawara; Raja Mokdad-Gargouri
Journal:  Med Oncol       Date:  2017-07-20       Impact factor: 3.064

3.  DNA hypermethylation as a predictor of extramural vascular invasion (EMVI) in rectal cancer.

Authors:  Rory F Kokelaar; Huw G Jones; Jeremy Williamson; Namor Williams; A Paul Griffiths; John Beynon; Gareth J Jenkins; Dean A Harris
Journal:  Cancer Biol Ther       Date:  2018-01-19       Impact factor: 4.742

4.  Colorectal cancer: CpG island methylation indicates inferior survival outcomes.

Authors:  Peter Sidaway
Journal:  Nat Rev Clin Oncol       Date:  2016-07-05       Impact factor: 66.675

5.  Clinical characteristics and prognosis of different primary tumor location in colorectal cancer: a population-based cohort study.

Authors:  C Zheng; F Jiang; H Lin; S Li
Journal:  Clin Transl Oncol       Date:  2019-03-14       Impact factor: 3.405

6.  CpG island methylator phenotype identifies high risk patients among microsatellite stable BRAF mutated colorectal cancers.

Authors:  Hege Marie Vedeld; Marianne Merok; Marine Jeanmougin; Stine A Danielsen; Hilde Honne; Gro Kummeneje Presthus; Aud Svindland; Ole H Sjo; Merete Hektoen; Mette Eknaes; Arild Nesbakken; Ragnhild A Lothe; Guro E Lind
Journal:  Int J Cancer       Date:  2017-06-02       Impact factor: 7.396

7.  Tumors with unmethylated MLH1 and the CpG island methylator phenotype are associated with a poor prognosis in stage II colorectal cancer patients.

Authors:  Tao Fu; Yanliang Liu; Kai Li; Weiwei Wan; Emmanouil P Pappou; Christine A Iacobuzio-Donahue; Zachary Kerner; Stephen B Baylin; Christopher L Wolfgang; Nita Ahuja
Journal:  Oncotarget       Date:  2016-12-27

8.  Distinct clinical outcomes of two CIMP-positive colorectal cancer subtypes based on a revised CIMP classification system.

Authors:  Jeong Mo Bae; Jung Ho Kim; Yoonjin Kwak; Dae-Won Lee; Yongjun Cha; Xianyu Wen; Tae Hun Lee; Nam-Yun Cho; Seung-Yong Jeong; Kyu Joo Park; Sae Won Han; Hye Seung Lee; Tae-You Kim; Gyeong Hoon Kang
Journal:  Br J Cancer       Date:  2017-03-09       Impact factor: 7.640

9.  Improved results of LINE-1 methylation analysis in formalin-fixed, paraffin-embedded tissues with the application of a heating step during the DNA extraction process.

Authors:  Xianyu Wen; Seorin Jeong; Younghoon Kim; Jeong Mo Bae; Nam Yun Cho; Jung Ho Kim; Gyeong Hoon Kang
Journal:  Clin Epigenetics       Date:  2017-01-13       Impact factor: 6.551

Review 10.  Methylation-Based Therapies for Colorectal Cancer.

Authors:  Klara Cervena; Anna Siskova; Tomas Buchler; Pavel Vodicka; Veronika Vymetalkova
Journal:  Cells       Date:  2020-06-24       Impact factor: 6.600

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