Literature DB >> 31330573

Methylenetetrahydrofolate reductase polymorphisms and colorectal cancer prognosis: A meta-analysis.

Xin-Lin Chen1, Yu-Mei Wang2, Fei Zhao1, Zheng Chen3, Xiaofei Yang4, Cong Sun5, Yunpeng Gao6, Tian-Ge Yang7, Guo Tian7, Yi-Ming Chen1, Shui-Lian Zhu8, Xiao-Bing Lin9, Feng-Bin Liu8.   

Abstract

BACKGROUND: The present study focused on understanding the prognostic value of the methylenetetrahydrofolate reductase (MTHFR) single nucleotide polymorphisms rs1801133 (C667T) and rs1801131 (A1298C) in patients with colorectal cancer (CRC).
METHODS: A systematic literature search was conducted in March 2016. Databases, including Medline, EMBASE, Cochrane and Chinese databases (including CNKI, Wanfang and VIP), were searched to identify the relevant articles describing MTHFR polymorphisms in patients with CRC. Data regarding overall survival (OS), progression-free survival (PFS) and disease-free survival (DFS) were collected and analysed.
RESULTS: Twenty-four studies with 5423 patients with CRC were included. Significant differences in OS, PFS and DFS were not observed among the different comparisons of patients carrying different alleles of the MTHFR rs1801133 polymorphism (including TT versus CC, TT versus CT + CC, CT + TT versus CC and CT versus CC). Compared with patients with the rs1801131 CA + AA genotypes, patients with the CC genotype had a shorter OS (hazard ratio = 1.85; 95% confidence interval = 1.30-2.65) and DFS (hazard ratio = 2.16; 95% confidence interval= 1.19-3.93). Significant differences in OS, PFS and DFS were not observed among the other patient groups (including CC versus AA, CC + CA versus AA and CA versus AA). Subgroup analysis of rs1801133 and rs1801131 showed that patients with CRC from Asian regions and Western regions demonstrated similar results.
CONCLUSIONS: The MTHFR rs1801133 polymorphism was not associated with the prognosis of patients with CRC; however, rs1801131 may be associated with the prognosis of patients with CRC. Well-designed prospective studies are necessary to obtain a better understanding of the prognostic value of rs1801133 and rs1801131.
© 2019 The Authors. The Journal of Gene Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  colorectal cancer; gene polymorphism; meta-analysis; methylenetetrahydrofolate reductase; prognosis

Mesh:

Substances:

Year:  2019        PMID: 31330573      PMCID: PMC6851539          DOI: 10.1002/jgm.3114

Source DB:  PubMed          Journal:  J Gene Med        ISSN: 1099-498X            Impact factor:   4.565


INTRODUCTION

As the third most commonly diagnosed cancer, colorectal cancer (CRC) has a worldwide incidence of over 1.3 million and a mortality rate of approximately 50%.1, 2, 3 Although the incidence of CRC has decreased in recent years because of improvements in its early diagnosis and treatment,1 the number of CRC cases continues to increase worldwide. Despite recent advances in treatment modalities, the 5‐year survival rate of patients with advanced CRC is not satisfactory as a result of recurrence and drug resistance.4 Methylenetetrahydrofolate reductase (MTHFR) is required for folate metabolism, intracellular homeostasis and DNA synthesis. It converts 5,10‐methylenetetrahydrofolate (5,10‐MTHF) to 5‐methyltetrahydrofolate (5‐MTHF), which is the major circulating form of folate in the blood and provides methyl groups to convert homocysteine into methionine. MTHFR contributes to the imbalance in methylation reactions, leading to genomic DNA hypomethylation, and influences folate metabolism.5, 6 The two most common loci for MTHFR single nucleotide polymorphisms (SNPs) are rs1801133 (C677T) and rs1801131 (A1298C).7 Both are associated with a deficiency in enzymatic activity.8 The MTHFR rs1801133 polymorphism is a point mutation at the position 677C>T, in which alanine is replaced with valine.9 The MTHFR rs1801131 polymorphism is a point mutation at position 1298A>C, in which glutamate is replaced with valine.10 The rs1801133 and rs1801131 polymorphisms reduce the activity of the MTHFR enzyme and increase the homocysteine level in the blood, which may be a risk factor for cancer.11 Recently, some meta‐analyses have reported significant correlations between the MTHFR rs1801133 and rs1801131 polymorphisms and tumour responses to chemoradiotherapy and short‐term clinical benefits.12, 13, 14 For example, two meta‐analyses were performed to investigate the associations between MTHFR polymorphisms and the response of patients with CRC to chemotherapy.13, 14 A meta‐analysis was conducted to investigate the associations between MTHFR polymorphisms and short‐term clinical benefits (complete or partial response, relapse or progression) of chemotherapy in patients with CRC.12 These meta‐analyses only focused on the short‐term prognostic effects of MTHFR polymorphisms on patients with CRC. No meta‐analysis has been performed investigating the association between these MTHFR polymorphisms and survival (e.g. overall survival [OS], progression‐free survival [PFS] or disease‐free survival [DFS]). By systematically reviewing recent publications, we conducted a meta‐analysis according to the guidelines of the PRISMA statement.15 The aim was to explore whether the MTHFR rs1801133 and rs1801131 polymorphisms might affect the prognosis of patients with CRC and whether these SNPs are potentially useful as predictive biomarkers.

MATERIALS AND METHODS

Literature search strategy

A comprehensive literature search was performed independently by two investigators (XLC and YMW) from the inception of each database up to 14 March 2016. The databases included PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and Chinese databases (including CNKI, Wanfang and VIP). The search terms included the keywords: colorectal cancer (including colorectal cancer, colon cancer, rectal cancer), MTHFR (including MTHFR and methylenetetrahydrofolate reductase) and prognosis (including prognosis, prognoses, predictive, biomarker, marker, survival, log rank, Kaplan–Meier and Cox). The detailed search strategy is documented in the Supporting information (Doc. S1). Google Scholar was also used to search for relevant articles. Systematic reviews and meta‐analyses of MTHFR polymorphisms and CRC were manually screened for potentially eligible articles. Duplicate articles that were obtained from multiple databases were deleted. The abstract of each article was extracted and screened by two of three investigators (FZ, TGY and GT), and the full texts of potentially eligible articles were reviewed for data analysis. Next, two of three investigators (FZ, TGY and GT) independently reviewed and confirmed the eligibility of the articles. Any disagreement was recorded and resolved by consensus under the guidance of a fourth investigator (XLC). The cross‐referencing strategy was adopted until the two investigators reached a consistent result.

Inclusion criteria for the studies

This meta‐analysis includes articles reporting the patient's CRC prognosis and MTHFR genotype. The inclusion criteria comprised: (i) a diagnosis of CRC, colon cancer, rectal cancer or metastatic CRC (mCRC); (ii) rs1801133 or rs1801131 polymorphisms identified by polymerase chain reaction (PCR) or polymerase chain reaction restriction fragment length polymorphism (PCR‐RFLP); and (iii) data describing OS, DFS and/or PFS with hazard ratios (HRs), 95% confidence intervals (CIs) or the relevant information (e.g. survival curves) were provided. Articles published in abstract form were included only when sufficient outcome data were presented or when the authors were willing to provide detailed results from the study. If several articles from the same patient population were reported, the most recent or most detailed study was included.

Data extraction and quality assessment

For each article, two of three investigators (FZ, TGY and GT) independently extracted the required data according to a predefined protocol. The extracted data comprised: authors’ names, year of publication, patient characteristics (cancer type, sample size, gender and mean age), therapy (surgery, chemotherapy and radiotherapy), characteristics of MTHFR polymorphisms (rs1801133 or rs1801131, sample source, sample content, test method and cut‐off values) and prognostic outcomes (HRs and their 95% CIs for OS, PFS and DFS). If the data from any of the above categories were unavailable in the text, the corresponding record was marked as “NR (not reported)”. Differences in data extraction were resolved by cross‐checking until a consensus was reached.

Statistical analysis

Four genetic models existed for rs1801133: TT versus CC (TT/CC, additive model), TT versus CT and CC (TT/CT + CC, recessive model), TT and CT versus CC (TT + CT/CC, dominant model) and CT versus CC (CT/CC, heterozygous model). For rs1801131, the four models included CC versus AA (CC/AA), CC versus CA and AA (CC/CA + AA), CC and CA versus AA (CC + CA/AA) and CA versus AA (CA/AA). None of the included articles reported data about the allele model (wild‐type allele versus mutant‐type allele) for rs1801133 and rs1801131. Therefore, the allele model was not included in our meta‐analysis. OS, PFS and DFS were analysed separately. The HRs and 95% CIs reflected the effects of rs1801133 and rs1801131 on the prognosis. If these data were available in the collected articles, we extracted these data directly; otherwise, they were calculated from the available numerical data in the articles based on the methods developed by Tierney et al.16 Pooled HRs and their 95% CIs for OS, PFS and DFS between different genetic models were calculated. The heterogeneity of all HRs was calculated using chi‐squared tests. The heterogeneity test with the inconsistency index (I 2) statistic and Q statistic was performed. If the HR was homogeneous, then the fixed‐effects model was employed for analysis; otherwise, a random‐effects model was used. p < 0.05 was considered statistically significant. Additionally, an HR > 1 suggested a poor prognosis. Publication bias was evaluated using the methods described by Begg and Mazumdar.17 Linkage disequilibrium among the variants can vary across populations.18, 19 For example, Haerian and Haerian18 showed that rs1801133 and rs1801131 might be CRC susceptibility variants in Americans and Australians, whereas rs1801133 may be more common in the Brazilian and Japanese populations. Based on these results, patients of different ethnicities may carry different rs1801133 and rs1801131 variants. Therefore, a subgroup analysis based on different regions (e.g. Asia and Western countries) was performed. All calculations were performed using STATA, version 12.0 (StataCorp, College Station, TX, USA).

RESULTS

Article characteristics

Figure 1 shows the process used to screen the included articles. The literature search yielded 539 articles, 152 of which were excluded as a result of duplication. The abstracts of 387 articles were reviewed by the investigators, and the 314 articles that failed to meet the inclusion criteria were excluded. The full texts of the remaining 73 articles were retrieved. Finally, twenty‐four articles were included in the meta‐analysis.20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43
Figure 1

Flow chart of the search strategy

Flow chart of the search strategy Table 1 summarizes the characteristics of the included articles. Among the 24 included articles, seven were conducted in China or Korea,20, 24, 26, 28, 31, 32, 42 one was conducted in Mexico33 and the remaining articles were conducted in European or North American countries. All but two eligible articles targeted CRC or mCRC: one addressed rectal cancer22 and the other studied colon cancer.28 In total, 5423 patients with CRC were included in our analysis. The sample size of each article ranged from 29 to 784 patients, with a median of 136 patients. All patients received either 5‐fluorouracil (5‐FU) or 5‐FU‐based chemotherapy. Information about the rs1801133 and rs1801131 polymorphisms is provided in Table 2.
Table 1

Characteristics of the included articles

ReferenceYear of publicationCountryTimePatientsSample sizeNumber of malesMean age (range, years)StageSurgeryChemotherapyRadiotherapyMedian (range) follow‐up (months)
Afzal et al.36 2009Denmark1996–2003CRC33116661 (NR)II–IVNR5‐FU + LVNR120 (NR)
Budai et al.29 2012Hungary2006–2008CRC85NRNR (NR)IVNR5‐FU + LV + CPT‐11 + BEVNRNR (NR)
Castillo‐Fernández et al.33 2010Mexico1998–2004mCRC291155.9 (NR)IVNR5‐FU + FANRNR (NR)
Cecchin et al.21 2015Italy2003–2007CRC1126265 (30–85)II, IIIAll5‐FU/CAPENR80 (10–185)
Chua et al.37 2009Britain1999–2000mCRC1188061 (31–75)IVNR5‐FU + LV + OXNRNR (NR)
Custodio et al.23 2014Spain2004–2009CRC20211563.8 (23–85)II, IIIAll5‐FL + OXNone51.4 (7–96)
Delgado‐Plasencia et al.27 2013Spain1990–2003CRC5028NR (NR)NRAll5‐FU‐basedNRNR (NR)
Dong et al.20 2016China2012–2013CRC814456.2 (27–76)IVNR5‐FU + LV + OXNR14 (5–20)
Etienne et al.43 2004FranceNRmCRC985764 (40–82)IVNR5FU + FANRNR (NR)
Fernández‐Peralta et al.34 2010Spain1992–1996CRC1438167.3 (NR)NRAll5‐FU‐basedNR44.3 (NR)
Gusella et al.35 2009Britain1999–2008CRC1308464.7 (34–84)B, C* NR5‐FU + LVNR45.6 (4.8–120.0)
Huang et al.31 2011China2005–2009mCRC1578562.5 (36–82)IVNR5‐FU + LV + OXNR35 (8–56)
Jang et al.24 2014Korea1996–2009CRC37221562.1 (NR)I–IVAll5‐FU‐basedNR34 (4–173)
Kim et al.32 2010Korea1995–2004CRC1034957.0 (NR)II–IVAll5‐FU/5‐FU + OXNR62.2 (18–121)
Negandhi et al.25 2013Canada1999–2003CRC78432761.4 (20.7–75.0)I–IVAll5‐FU (partial)NR76.8 (4.8–130.8)
Qiu et al.28 2013China2004–2006CRC764857 (21–75)I–IIIAll5‐FU + OX + LVNRNR (37–67)
Ruzzo et al.40 2007ItalyNRmCRC1668766 (NR)IVNR5‐FU + LV + OXNR24 (NR)
Ruzzo et al.39 2008ItalyNRmCRC1468061 (38–75)IVNR5‐FU + LV + CPT‐11NRNR (NR)
Sharma et al.38 2008Australia2002–2003mCRC543572 (42–86)IVNRCAPENRNR (NR)
Suh et al.42 2006KoreaNRmCRC543057.8 (35–39)II–IVNR5‐FU + LV + OXNR23.6 (6–35)
Taflin et al.30 2011Sweden1999–2006CRC6498866 (32–82)IIIAll5‐FU + LVNR70 (NR)
Ulrich et al.22 2014America1994–2000Rectal cancer75448261 (19–86)II, IIIAll5‐FU + LVAllNR (NR)
Zhang et al.41 2007America1992–2003mCRC31817758 (25–86)IVNRFU + CPT‐11/FU + OXNR30 (NR)
Zhu et al.26 2013China2004–2007CRC41124560 (NR)I–IVAll5‐FU/5‐FU + OXNR64 (1–88)

5‐FU, 5‐fluorouracil; BEV, bevacizumab; CAPE, capecitabine; CPT‐11, irinotecan; CRC, colorectal cancer; FA, folinic acid; FU, fluorouracil; LV, leucovorin; mCRC, metastatic CRC; NR, not reported; OX, oxaliplatin;

, Duke's stage.

Table 2

Information about and results for the rs1801133 and rs1801131 polymorphisms in the included studies

Referencers1801133rs1801131Test sampleTest contentTest methodAnalytical methodOutcome reported
Afzal et al.36 YesYesTumour tissueDNAPCR# MulOS*, PFS*
Budai et al.29 YesBloodDNAPCRMulOS^, PFS^
Castillo‐Fernández et al.33 YesTissueDNAPCRUniOS^
Cecchin et al.31 YesYesBlood or tissueDNAPCR# MulDFS*
Chua et al.37 YesTissueDNAPCRUniOS^, PFS^
Custodio et al.33 YesTissueDNAPCR‐RFLPUniDFS^
Delgado‐Plasencia et al.27 YesTumour tissueDNAPCR‐RFLPUniOS^
Dong et al.20 YesTissueDNAPCRUniDFS^
Etienne et al.43 YesYesTissueDNAPCRMulOS*
Fernández‐Peralta et al.34 YesYesBlood and tissueDNAPCRMulOS*
Gusella et al.35 YesYesBloodDNAPCRUniOS*, DFS*
Huang et al.31 YesBloodDNAPCR‐RFLPUniOS^, PFS^
Jang et al.24 YesYesBloodDNAPCRMulOS*, DFS*
Kim et al.32 YesLeukocytesDNAPCR‐RFLPUniOS^
Negandhi et al.25 YesBloodDNAPCR# MulOS&
Qiu et al.28 YesYesBloodDNAPCRMulPFS*
Ruzzo et al.40 YesYesBloodDNAPCRMulPFS*
Ruzzo et al.39 YesYesBloodDNAPCRMulPFS*
Sharma et al.38 YesBloodDNAPCRUniOS^
Suh et al.42 YesTissueDNAPCRUniOS^
Taflin et al.30 YesBloodDNAPCR# UniOS^
Ulrich et al.22 YesYesTissueDNAPCR# MulOS*
Zhang et al.41 YesYesBlood and tissueDNAPCR# MulOS*
Zhu et al.26 YesYesBloodDNAPCR#MulOS*

–, Not available;

for both rs1801133 and rs1801131;

for rs1801133 alone;

for rs1801131 alone. PCR, polymerase chain reaction; PCR#, PCR TaqMan; PCR‐RFLP, polymerase chain reaction restriction fragment length polymorphism; Mul, multivariate analysis; Uni, univariate analysis.

Characteristics of the included articles 5‐FU, 5‐fluorouracil; BEV, bevacizumab; CAPE, capecitabine; CPT‐11, irinotecan; CRC, colorectal cancer; FA, folinic acid; FU, fluorouracil; LV, leucovorin; mCRC, metastatic CRC; NR, not reported; OX, oxaliplatin; , Duke's stage. Information about and results for the rs1801133 and rs1801131 polymorphisms in the included studies –, Not available; for both rs1801133 and rs1801131; for rs1801133 alone; for rs1801131 alone. PCR, polymerase chain reaction; PCR#, PCR TaqMan; PCR‐RFLP, polymerase chain reaction restriction fragment length polymorphism; Mul, multivariate analysis; Uni, univariate analysis.

Meta‐analysis of rs1801133

Twenty‐three of the included articles assessed the association between rs1801133 and survival time. According to the heterogeneity analysis, all of the articles were homogeneous and the fixed‐effect model was adopted. Compared with patients carrying the CC genotype, patients carrying the TT genotype did not show an increased HR for OS (HR = 1.17; 95% CI = 0.99–1.40), PFS (HR = 0.90; 95% CI = 0.70–1.15) or DFS (HR = 1.23; 95% CI = 0.93–1.62) (Table 3). Additionally, significant differences in OS (HR = 1.07; 95% CI = 0.76–1.49), PFS (HR = 0.91; 95% CI = 0.53–1.55) and DFS (HR = 1.27; 95% CI = 0.86–1.88) were not observed between patients carrying the TT genotype and patients carrying the CT + CC genotypes (Table 3). In the comparison of patients carrying the TT + CT genotypes with patients carrying the CC genotype, the pooled HRs of OS, PFS and DFS were 1.09 (95% CI = 0.90–1.31), 1.12 (95% CI = 0.85–1.48) and 1.02 (95% CI = 0.69–1.51), respectively (Table 3). Significant differences in OS, PFS and DFS were not observed between patients carrying the CT genotypes and patients carrying the CC genotypes (Table 3).
Table 3

Results of the meta‐analysis of the MTHFR rs1801133 polymorphism

Number of articlesNumber of patientsHR (95% CI)Heterogeneity (I 2, p)
TT/CC
OS112,5261.17 (0.99–1.40)0.0%, 0.957
PFS56720.90 (0.70–1.15)0.0%, 0.778
DFS31,2561.23 (0.93–1.62)11.1%, 0.325
TT/CT + CC
OS58401.07 (0.76–1.49)2.1%, 0.395
PFS13310.91 (0.53–1.55)
DFS36861.27 (0.86–1.88)34.4%, 0.218
TT + CT/CC
OS81,5741.09 (0.90–1.31)40.9%, 0.106
PFS32841.12 (0.85–1.48)52.3%, 0.123
DFS24481.02 (0.69–1.51)0.0%, 0.387
CT/CC
OS102,3691.12 (0.96–1.31)0.0%, 0.673
PFS22030.96 (0.68–1.36)47.0%, 0.170
DFS31,2561.10 (0.90–1.35)0.0%, 0.478

TT/CC: TT genotype versus CC genotype; TT/CT + CC: TT genotype versus (CT + CC) genotype; TT + CT/CC: (TT + CT) genotype versus CC genotype; CT/CC: CT genotype versus CC genotype. −, not available.

Results of the meta‐analysis of the MTHFR rs1801133 polymorphism TT/CC: TT genotype versus CC genotype; TT/CT + CC: TT genotype versus (CT + CC) genotype; TT + CT/CC: (TT + CT) genotype versus CC genotype; CT/CC: CT genotype versus CC genotype. −, not available. Subgroup analysis revealed similar results for patients with CRC from Asian regions or Western regions (Table 4). For example, the HR of the TT versus CC genotype for patients from Asian regions was 1.06 (95% CI = 0.75–1.49) and the value for patients from Western regions was 1.22 (95% CI = 0.99–1.50).
Table 4

Results for the subgroup analysis of the MTHFR rs1801133 polymorphism in different geographic regions

SubgroupNumber of articlesNumber of patientsHR (95% CI)
TT/CC
OSAsian49941.06 (0.75–1.49)
Western71,5321.22 (0.99–1.50)
PFSAsian11571.53 (0.36–6.51)
Western45150.88 (0.68–1.14)
DFSAsian13720.71 (0.33–1.53)
Western28841.33 (0.99–1.79)
TT/CT + CC
OSAsian24260.94 (0.59–1.51)
Western34141.19 (0.78–1.81)
PFSAsian
Western13310.91 (0.53–1.55)
DFSAsian13720.86 (0.45–1.64)
Western23141.59 (0.98–2.58)
TT + CT/CC
OSAsian34261.13 (0.76–1.69)
Western59951.07 (0.87–1.33)
PFSAsian1811.81 (0.99–3.32)
Western22030.98 (0.72–1.34)
DFSAsian24481.02 (0.69–1.51)
Western
CT/CC
OSAsian38371.22 (0.89–1.67)
Western71,5321.09 (0.92–1.30)
PFSAsian
Western22030.96 (0.68–1.36)
DFSAsian13720.89 (0.53–1.50)
Western28841.14 (0.92–1.43)

–, Not available.

Results for the subgroup analysis of the MTHFR rs1801133 polymorphism in different geographic regions –, Not available.

Meta‐analysis of rs1801131

Thirteen articles assessed the association between rs1801131 and survival time. Significant differences in OS, PFS and DFS were not observed between patients carrying the CC genotype and patients carrying the AA genotype (Table 5). Compared with patients with the CA + AA genotypes, patients with the CC genotype had a shorter OS (HR = 1.85; 95% CI = 1.30–2.65) and DFS (HR = 2.16; 95% CI = 1.19–3.93) (Figure 2 and Table 5). Significant differences in OS, PFS and DFS were not observed between patients with the CC + CA genotypes and patients with the AA genotype (Table 5). Significant differences in OS, PFS and DFS were not observed between patients with the CA genotype and patients with the AA genotype (Table 5).
Table 5

Results of the meta‐analysis of the MTHFR rs1801131 polymorphism

Number of articlesNumber of patientsHR (95% CI)Heterogeneity (I 2, p)
CC/AA
OS72,8671.13 (0.81–1.59)* 50.9%, 0.057
PFS23120.89 (0.58–1.37)0.0%, 0.660
DFS31,2560.78 (0.53–1.13)0.0%, 0.738
CC/CA + AA
OS31,2541.85 (1.30–2.65)0.0%, 0.584
PFS
DFS24842.16 (1.19–3.93)0.0%, 0.337
CC + CA/AA
OS51,9481.11 (0.85–1.45)* 62.3%, 0.031
PFS24120.79 (0.55–1.14)0.0%, 0.547
DFS13720.92 (0.55–1.54)
CA/AA
OS62,5490.97 (0.84–1.12)0.0%, 0.507
PFS23120.97 (0.60–1.57)0.0%, 0.933
DFS31,2560.88 (0.73–1.07)0.0%, 0.974

CC/AA: CC genotype versus AA genotype; CC/CA + AA: CC genotype versus (CA + AA) genotype; CC + CA/AA: (CC + CA) genotype versus AA genotype; CA/AA: CA genotype versus AA genotype. −, not available.

Results from the random‐effects model.

Figure 2

Meta‐analysis plots of the HRs for survival in the comparison of patients with the CC genotype and patients with the AA + CA genotypes of rs1801131. OS, overall survival; PFS, progression‐free survival; DFS, disease‐free survival

Results of the meta‐analysis of the MTHFR rs1801131 polymorphism CC/AA: CC genotype versus AA genotype; CC/CA + AA: CC genotype versus (CA + AA) genotype; CC + CA/AA: (CC + CA) genotype versus AA genotype; CA/AA: CA genotype versus AA genotype. −, not available. Results from the random‐effects model. Meta‐analysis plots of the HRs for survival in the comparison of patients with the CC genotype and patients with the AA + CA genotypes of rs1801131. OS, overall survival; PFS, progression‐free survival; DFS, disease‐free survival Subgroup analysis revealed similar results for patients with CRC from Asian regions and Western regions (Table 6). For example, the HR of the CC versus AA genotype in patients from Asian regions was 0.81 (95% CI = 0.51–1.29) and the HR for this same comparison of patients from Western regions was 1.25 (95% CI = 0.82–1.91).
Table 6

Results from the subgroup analysis of the MTHFR rs1801131 polymorphism in different geographic regions

SubgroupNumber of articlesNumber of patientsHR (95% CI)
CC/AA
OSAsian27830.81 (0.51–1.29)
Western52,0841.25 (0.82–1.91)*
PFSAsian
Western22030.89 (0.58–1.37)
DFSAsian13721.20 (0.37–3.89)
Western28840.74 (0.50–1.10)
CC/CA + AA
OSAsian13721.13 (0.35–3.65)
Western28821.95 (1.34–2.84)
PFSAsian
Western
DFSAsian13721.32 (0.41–4.25)
Western11122.57 (1.28–5.16)
CC + CA/AA
OSAsian13720.70 (0.41–1.19)
Western41,5761.21 (0.94–1.56)*
PFSAsian1810.69 (0.39–1.23)
Western13310.87 (0.54–1.41)
DFSAsian13720.92 (0.55–1.54)
Western
CA/AA
OSAsian27830.94 (0.68–1.28)
Western41,7660.98 (0.83–1.16)
PFSAsian
Western23120.97 (0.60–1.57)
DFSAsian13720.89 (0.52–1.53)
Western28840.88 (0.72–1.09)

–, Not available.

Results from the random‐effects model.

Results from the subgroup analysis of the MTHFR rs1801131 polymorphism in different geographic regions –, Not available. Results from the random‐effects model.

DISCUSSION

Our meta‐analysis highlighted the long‐term prognostic effects (including OS, PFS and DFS) of MTHFR polymorphisms on patients with CRC. The rs1801131 polymorphism may predict the prognosis. Compared with patients with the CA + AA genotypes, patients with the CC genotype had a shorter OS (HR = 1.85) and DFS (HR = 2.15). However, significant differences were not observed among the other comparisons (CC versus AA, CC + CA versus AA and CA versus AA). Other researchers also reported similar results. For example, rs1801131 appears to be a potential prognostic factor for patients with gastric cancer.13, 44, 45 The MTHFR rs1801131 polymorphism may predict the prognosis; the possible explanations are described below. As a crucial enzyme in metabolism, MTHFR catalyses the transformation of 5,10‐MTHF into 5‐MTHF.25, 46, 47, 48 Notably, 5,10‐MTHF mainly synthesizes purines and thymidine. Furthermore, 5‐MTHF participates in the synthesis of S‐adenosyl‐methionine, which is an important mediator of methylation reactions.47, 48 Regarding rs1801131, its mutation is linked to reduced MTHFR enzyme activity, although the decrease is less pronounced than the change induced by 677CNT.49 Therefore, the reduction in MTHFR enzyme activity as a result of the rs1801131 polymorphism may lead to a higher level of the precursor 5,10‐MTHF and a correspondingly lower level of 5‐MTHF, given the relatively low catalytic activity of the enzyme. The accumulation of 5,10‐MTHF would provide a greater pool of nucleotides for DNA synthesis, thus prompting tumour cell proliferation, which requires an abundant supply of nucleic acids. Once CRC has developed, folate supplementation might enhance its growth and progression,42, 48, 50, 51 presumably by providing large amounts of nucleotide precursors for tumour growth.42, 48, 51 Folate supplementation is associated with a higher risk of CRC.52 These findings indicate a negative effect of high levels of MTHFR on patients with CRC. Therefore, the association between MTHFR polymorphisms and a worse prognosis of CRC may be ascribed to decreased MTHFR activity. In the present study, data heterogeneity was not observed; therefore, all of the data were analysed using fixed‐effects models. Subgroup analysis was performed according to the patient's nationality and revealed that rs1801133 and rs1801131 exerted the same effects on patients from Asian regions and patients from Western regions. The MTHFR rs1801131 polymorphism may be associated with the prognosis of patients with CRC. In the future, additional high‐quality prospective studies should be conducted to obtain a better understanding of the prognostic value of the MTHFR polymorphisms. The MTHFR rs1801131 polymorphism may be regarded as a target for drugs that are widely used to treat cancer and inflammatory diseases.12 This polymorphism may better predict the prognosis of patients with CRC and facilitate the administration of individualized treatments. Some limitations exist in this meta‐analysis. (i) The eligible articles included in our meta‐analysis were restricted to studies published in English and Chinese, which likely caused selection bias. Articles published in other languages were excluded, which might cause selection bias as a result of low reporting qualities. (ii) The therapy method substantially affected the survival of patients with CRC. Although all of the included patients with CRC were treated with 5‐FU chemotherapy, the use of specific therapies differed among the included articles. Thus, the confounding effects of different therapies remain unclear. (ii) HRs calculated from the data or extracted from survival curves may be less reliable than HRs directly calculated with an analysis of variance. In summary, the MTHFR rs1801133 polymorphism was not associated with the OS, PFS or DFS of patients with CRC. However, the MTHFR rs1801131 polymorphism was associated with a shorter OS and DFS in patients with CRC (CC + CA versus AA), although the other genotypes of MTHFR rs1801131 did not produce significant differences. Both rs1801133 and rs1801131 produced similar results among patients with CRC from Asian regions and Western regions. These results might provide guidance and prognostic predictive power for physicians during the clinical treatment of patients with CRC who are undergoing 5‐FU chemotherapy. Well‐designed prospective studies are necessary to further investigate the precise prognostic value of the MTHFR rs1801133 and rs1801131 polymorphisms.

CONFLICT OF INTEREST STATEMENT

The authors declare that they have no conflicts of interest. Doc. S1. The search strategy Click here for additional data file.
  50 in total

1.  DNA repair gene and MTHFR gene polymorphisms as prognostic markers in locally advanced adenocarcinoma of the esophagus or stomach treated with cisplatin and 5-fluorouracil-based neoadjuvant chemotherapy.

Authors:  Katja Ott; P Sivaramakrishna Rachakonda; Benjamin Panzram; Gisela Keller; Florian Lordick; Karen Becker; Rupert Langer; Markus Buechler; Kari Hemminki; Rajiv Kumar
Journal:  Ann Surg Oncol       Date:  2011-02-24       Impact factor: 5.344

2.  Gene polymorphisms MTHFRC677T and MTRA2756G as predictive factors in adjuvant chemotherapy for stage III colorectal cancer.

Authors:  Helena Taflin; Yvonne Wettergren; Elisabeth Odin; Göran Carlsson; Kristoffer Derwinger
Journal:  Anticancer Res       Date:  2011-09       Impact factor: 2.480

3.  Pharmacogenetic profiling in patients with advanced colorectal cancer treated with first-line FOLFOX-4 chemotherapy.

Authors:  Annamaria Ruzzo; Francesco Graziano; Fotios Loupakis; Eliana Rulli; Emanuele Canestrari; Daniele Santini; Vincenzo Catalano; Rita Ficarelli; Paolo Maltese; Renato Bisonni; Gianluca Masi; Gaia Schiavon; Paolo Giordani; Lucio Giustini; Alfredo Falcone; Giuseppe Tonini; Rosarita Silva; Rodolfo Mattioli; Irene Floriani; Mauro Magnani
Journal:  J Clin Oncol       Date:  2007-04-01       Impact factor: 44.544

4.  Methylenetetrahydrofolate reductase polymorphism, dietary interactions, and risk of colorectal cancer.

Authors:  J Ma; M J Stampfer; E Giovannucci; C Artigas; D J Hunter; C Fuchs; W C Willett; J Selhub; C H Hennekens; R Rozen
Journal:  Cancer Res       Date:  1997-03-15       Impact factor: 12.701

Review 5.  Methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism: epidemiology, metabolism and the associated diseases.

Authors:  Siaw-Cheok Liew; Esha Das Gupta
Journal:  Eur J Med Genet       Date:  2014-11-04       Impact factor: 2.708

6.  Methylenetetrahydrofolate reductase gene polymorphisms and response to fluorouracil-based treatment in advanced colorectal cancer patients.

Authors:  Marie-Christine Etienne; Jean-Louis Formento; Maurice Chazal; Mireille Francoual; Nicolas Magné; Patricia Formento; André Bourgeon; Jean-François Seitz; Jean-Robert Delpero; Christian Letoublon; Denis Pezet; Gérard Milano
Journal:  Pharmacogenetics       Date:  2004-12

7.  Impact of the MTHFR C677T polymorphism on colorectal cancer in a population with low genetic variability.

Authors:  Luciano Delgado-Plasencia; Vicente Medina-Arana; Alberto Bravo-Gutiérrez; Julián Pérez-Palma; Hugo Álvarez-Argüelles; Eduardo Salido-Ruiz; Antonia M Fernández-Peralta; Juan J González-Aguilera
Journal:  Int J Colorectal Dis       Date:  2013-02-20       Impact factor: 2.571

8.  Association of methylenetetrahydrofolate reductase gene polymorphisms and sex-specific survival in patients with metastatic colon cancer.

Authors:  Wu Zhang; Oliver A Press; Christopher A Haiman; Dong Yun Yang; Michael A Gordon; William Fazzone; Anthony El-Khoueiry; Syma Iqbal; Andy E Sherrod; Georg Lurje; Heinz-Josef Lenz
Journal:  J Clin Oncol       Date:  2007-08-20       Impact factor: 44.544

9.  Thymidylate synthase and methylenetetrahydrofolate reductase gene polymorphisms and toxicity to capecitabine in advanced colorectal cancer patients.

Authors:  Rohini Sharma; Janelle M Hoskins; Laurent P Rivory; Manuela Zucknick; Rosyln London; Christopher Liddle; Stephen J Clarke
Journal:  Clin Cancer Res       Date:  2008-02-01       Impact factor: 12.531

10.  The association of dietary quality with colorectal cancer among normal weight, overweight and obese men and women: a prospective longitudinal study in the USA.

Authors:  Rosalie A Torres Stone; Molly E Waring; Sarah L Cutrona; Catarina I Kiefe; Jeroan Allison; Chyke A Doubeni
Journal:  BMJ Open       Date:  2017-07-05       Impact factor: 2.692

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  4 in total

1.  The Studies of Prognostic Factors and the Genetic Polymorphism of Methylenetetrahydrofolate Reductase C667T in Thymic Epithelial Tumors.

Authors:  Miaolong Yan; Jiayuan Wu; Min Xue; Juanfen Mo; Li Zheng; Jun Zhang; Zhenzhen Gao; Yi Bao
Journal:  Front Oncol       Date:  2022-06-06       Impact factor: 5.738

Review 2.  Methylenetetrahydrofolate reductase polymorphisms and colorectal cancer prognosis: A meta-analysis.

Authors:  Xin-Lin Chen; Yu-Mei Wang; Fei Zhao; Zheng Chen; Xiaofei Yang; Cong Sun; Yunpeng Gao; Tian-Ge Yang; Guo Tian; Yi-Ming Chen; Shui-Lian Zhu; Xiao-Bing Lin; Feng-Bin Liu
Journal:  J Gene Med       Date:  2019-08-06       Impact factor: 4.565

3.  Systemic risk factors correlated with hyperhomocysteinemia for specific MTHFR C677T genotypes and sex in the Chinese population.

Authors:  Tianyuan Xiang; Hang Xiang; Muyang Yan; Sheng Yu; Matthew John Horwedel; Yang Li; Qiang Zeng
Journal:  Ann Transl Med       Date:  2020-11

4.  Associations between Serum Betaine, Methyl-Metabolizing Genetic Polymorphisms and Risk of Incident Type 2 Diabetes: A Prospective Cohort Study in Community-Dwelling Chinese Adults.

Authors:  Xiaoting Lu; Rongzhu Huang; Shuyi Li; Aiping Fang; Yuming Chen; Si Chen; Fan Wang; Xinlei Lin; Zhaoyan Liu; Huilian Zhu
Journal:  Nutrients       Date:  2022-01-15       Impact factor: 5.717

  4 in total

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