Copyright
©The Author(s) 2023.
World J Gastroenterol. Feb 21, 2023; 29(7): 1219-1234
Published online Feb 21, 2023. doi: 10.3748/wjg.v29.i7.1219
Published online Feb 21, 2023. doi: 10.3748/wjg.v29.i7.1219
Ref. | Country | Age (yr) | No. cases (M/W), endpoint | No. controls, type | Gene (SNP) | Nutrient/alcohol | Method for measuring nutrition intake | Outcome (OR, 95%CI) | Adjustments to OR | NOS | ||
SNP | Nutrient/alcohol | Interaction | ||||||||||
Chen et al[23] | United States | 40-75 | 144 M, CRC | 627 C | MTHFR (677C>T) | Dietary folate, Met, and alcohol | Validated FFQ (self-reported) | No assoc | Alcohol (≥ 5 vs ≤ 1 drinks/wk): 1.61 (1.01-2.58) | 677TT (vs CC/CT)-low alcohol consumption (≤ 1 drinks/wk): 0.11 (0.01-0.85) (P-interac = 0.02) | Age, CRC family history | 7 |
Guerreiro et al[24] | Portugal | Cases (64.2 ± 11.3), controls (62.2 ± 12.1) | 104/92 CRC | 200 C | MTHFR (677C>T), MS (2756A>G), SHMT (1420C>T) | Dietary folate, vitamins B6 and B12, glycine, Met, serine, and alcohol | Validated FFQ (by interview) | 677TT (vs CC/CT): 3.01, (1.3-6.7); 1420TT (vs CC/CT): 2.6, (1.1-5.9) | Folate (> 406.7 mcg/d vs < 406.7 mcg/d): 0.67 (0.45-0.99) | 677TT (vs CC/CT)– folate (< 406.7 mcg/d): 14.0, 1.8-108.5 (P = 0.05) | Age, CRC history, and sex | 5 |
Kim et al[25] | Korea | 30-79 | 465/322 CRC (363 CCa, 330 RCa) | 656 H | MTHFR(677C>T) | Dietary folate and alcohol | Validated FFQ | 677TT (vs CC/CT): 0.60 (0.46-0.78) | Folate (high vs low intake): 0.64 (0.49-0.84); alcohol (high vs low intake): 1.76 (1.26-2.46) | 677CC/CT–Low-methyl diet (folate < 209.69 mcg/d and alcohol ≥ 30 g/d): 2.32 (1.18-4.56) (P-interac = no assoc) | Age, BMI, CRC family history, energy intake, multivitamin use, sex, smoking status | 7 |
Ma et al[26] | United States | 40-84 | 202 M, CRC | 326 C | MTHFR (677C>T) | Plasma folate, and alcohol consumption | FFQ (self-reported) | 677TT (vs CC): 0.45 (0.24-0.86) | Folate (plasma deficiency vs adequate levels): No assoc | 677TT (vs TC/CC)–folate (adequate levels): 0.32 (0.15-0.68) | Age, alcohol consumption, aspirin use, BMI, exercise, multivitamin use, and smoking status | 7 |
Alcohol: Unk | 677TT (vs CC)–alcohol (0-0.14 drinks/d): 0.12 (0.03-0.57) | Age | ||||||||||
Murtaugh et al[27] | United States | 30-79 | 446/305 RCa | 979 C | MTHFR (677C>T, 1298A>C) | Dietary folate, riboflavin, vitamins B6 and B12, Met, and alcohol | FFQ (by interview) | W, 677TT (vs CC): 0.54 (0.30-0.98). M&W, 1298CC (vs AA): 0.67 (0.46-0.98) | Dietary folate (> 475 mcg/d vs < = 322 mcg/d): 0.66 (0.48-0.92). High methyl donor status (vs low status): 0.79 (0.66-0.95) | No assoc | Age, BMI, ibuprofen use, intake of energy, fibre and calcium, PA, sex, and smoking status | 6 |
Pufulete et al[28] | United Kingdom | 38-90 | 13/15 CRC | 76 C | MTHFR (677C>T, 1298A>C), MS (2756A>G), CBS (844ins68) | Plasma folate, vitamin B12, and homocysteine, alcohol and folate intake | Validated FFQ (by interview) | 677TT (vs CC): 5.98 (0.92-38.66), P = 0.06; 1298CC (vs AA): 12.6 (1.12-143.70), P = 0.04 | Folate status score (T3 vs T1): 0.09 (0.01-0.57), P-trend = 0.01 | Unk | Age, alcohol consumption, BMI, sex, and smoking status | 7 |
Sharp et al[29] | United Kingdom | 150/114 (189 CCa, 75 RCa) | 408C | MTHFR (677C>T, 1298A>C) | Dietary folate, riboflavin, vitamins B6 and B12, and alcohol | Validated FFQ (self-reported) | No assoc | No assoc | 677CT/TT (vs CC)–folate (> mean): P-interac = 0.029. 677CT/TT (vs CC)–vitamin B6 (> mean): P-interac = 0.016 | Age, CRC family history, energy intake, NSAID use, PA, and sex | 6 | |
Slattery et al[30] | United States | 30-79 | 824/849 CC (DCCa 405/303; PCCa 395/327) | 1816 C | MTHFR (677C>T) | Dietary folate, Met, vitamins B6 and B12, and alcohol | Validated CARDIA diet questionnaire | 677TT: No assoc | Unk | TT-low risk diet (high in folate and Met and without alcohol): 0.4 (0.1-0.9) | Age, BMI, intake of energy and fibre, PA, and smoking intensity | 7 |
Ref. | Country | Study cohort (age, yr) | No. participants (M/W) | No. incident cases | Follow-up length, y | Gene (SNP) | Nutrient/alcohol | Method for measuring nutrition intake | Outcome (RR, 95%CI) | Adjustments to RR | NOS | ||
SNP | Nutrient/alcohol | Interaction | |||||||||||
de Vogel et al[9] | Netherlands | Netherlands Cohort Study on diet and cancer (55-69) | 58279/62573 | 734 CRC | 7.3 | MTHFR (rs1801133, rs1801131), MTR (rs1805087), MTRR (rs1801394), DNMT3B (rs2424913, rs406193), EHMT1 (rs4634736), EHMT2 (rs535586), PRDM2 (rs2235515) | Dietary folate, Met, vitamins B2 and B6, alcohol | Validated FFQ (self-reported) | Unk | Unk | ≤ 1 rare allele in folate metabolizing enzymes–vitamin B2 (T3 vs T1): 0.30, (0.11-0.81), P-trend = 0.005. Rare allele of DNMT3B C>T (rs406193)–vitamin B6 (T3 vs T1): 1.90 (1.00-3.60), P-trend = 0.04. Common allele of PRDM2 G>A (rs2235515)–vitamin B6 (T3 vs T1): 1.49 (1.00-2.22), P-trend = 0.03. No assoc | Age, alcohol consumption, BMI, CRC family history, intake of energy and alcohol, sex, and smoking status | 9 |
Ref. | Country | Age (yr) | No. cases (M/W), endpoint | No. controls and type | Gene (SNP) | CIMP markers | MSI | Nutrient/alcohol | Method for measuring nutrition intake | Outcome (OR, 95%CI), interaction | NOS | ||
CIMP markers/MSI–nutrient/alcohol | CIMP markers-/MSI–SNP–nutrient/alcohol | Adjustments to OR | |||||||||||
Busch et al[31] | United States | 40-80 (AAs vs EAs) | 244/241 CRC | Analyses were only performed in tumour tissue | CACNA1G, hMLH1, NEUROG1, RUNX3, SOCS1 | Unk | Dietary folate and alcohol | Unk | EAs: High CACNA1G methylation tumour (cut point of 5%)–high folate intake: 0.3 (0.14-0.66); high SOCS1 methylation tumour (cut point of 3%)–high folate intake: 0.3 (0.11-0.80) | Unk | - | 4 | |
Curtin et al[32] | United States | 30-79 | 518/398 CCa | 1972 C | MTHFR (677C>T, 1298A>C), TS variants (TSER, TTAAAG in 3´-UTRs 1494), MTR (919D>G), RFC (80G>A), MTHFD1 (R134K, R653Q), ADH3 (1045A>G) | MINT1, MINT2, MINT31, p16, hMLH1 | Unk | Dietary folate, Met, vitamin B12, and alcohol | Adaptation of the CARDIA diet history | Unk | MTHFR 1298AA–alcohol (high vs none): CIMP+, 0.5 (0.3-0.97), P < 0.01; ADH3 (1 or 2 variant, slow catabolizing*2 vs homozygous for the common allele)–folate (low): CIMP+, 1.6 (1.03-2.6), P = 0.02. MTHFR 1298AC or CC-high-risk dietary pattern (low in folate or Met intake, high in alcohol): CIMP+, 2.1 (1.3-3.4), P = 0.03 | Age, centre, other SNPs, sex, smoking intensity, and race | 9 |
Curtin et al[33] | United States | 30-79 | 559/392 | 1205 C | MTHFR (1298A>C), TP53, KRAS2, | CDKN2A, hMLH1, MINT 1, 2 and 31 | Folate, riboflavin, vitamins B6, B12, and Met | Adaptation of the CARDIA diet history (by interview) | M: Folate (T3 vs T1)–CIMP+, 3.2 (1.5-6.7), P < 0.01 | 1298 AC/CC (vs AA)–folate (T3 vs T1): 0.4 (0.2-1.0), P = 0.04, for CIMP+ | Age, centre, intake of energy and fibre, NSAID use, oestrogen use (W), PA, race, referent year, sex, screening, and smoking | 8 | |
Kim et al[34] | Korea | 30-79 | 465/322 CRC (363 CCa, 330 RCa) | 656 H | MTHFR (677C>T) | Unk | 2 mononucleotide markers (Bat25 and Bat26) and 3 dinucleotide markers (D2S123, D5S346, and D17S250) | Folate, vitamins B2, B6, B12, niacin, Met, and choline | Validated FFQ | Unk | DCCa: hMSH3 (rs41097) AG/GG (vs AA)–niacin (> 14.00 mg/d vs < 14.00 mg/d)–MSI–MMR status: 0.49 (0.28-0.84), P-interac = 0.008 | Age, intake of energy and alcohol, BMI, CRC family history, educational level, occupation, income, PA, sex, and smoking status | 7 |
Slattery et al[35] | United States | 30-79 | 821/689 CRC | 2410 C | Unk | Unk | 10 tetranucleotide repeats, 3 Bat-26 and TGFbRII | Dietary folate, and alcohol | Validated CARDIA diet questionnaire | Alcohol–MSI+ (vs MSI-): 1.6 (1.0-2.5), P-trend = 0.03; liquor–MSI+ (vs MSI-): 1.6 (1.1-2.4), P-trend = 0.02 | Age, BMI, intake of energy, fibre and calcium, intake, PA, sex | 7 | |
Slattery et al[36] | United States | 30-79 | 638/516 CRC | 2410 C | BRAF (V600E) | MINT1, MINT2, MINT31, p16 and hMLH1 | Unk | Folate, vitamins B6 and B12, Met, and alcohol | Diet history questionnaire | No assoc | MSI tumour–alcohol (high vs none): 1.6 (0.9-2.9), P-trend = 0.04, for p16 unmethylated; 1.7 (0.7-4.3), P-trend = 0.06, for CIMPlow (< 2 markers); 2.2 (1.2-3.7), P-trend = 0.01, for BRAF wildtype | Age, alcohol intake, BMI, intake of energy and folate, density of calcium and fibre, NSAIDs use, PA, sex, smoking intensity | 7 |
Ref. | Country | Study cohort (age, yr) | No. participants (M/W) | No. incident cases | Follow-up length, yr | Gene (SNP) | CIMP markers | MSI | Nutrient/alcohol | Method for measuring nutrition intake | Outcome (RR, 95%CI) interaction | NOS | ||
CIMP markers/MSI– | CIMP markers–/MSI–SNP– | Adjustments to RR | ||||||||||||
de Vogel et al[9] | Netherlands | The Netherlands Cohort Study on diet and cancer (55-69) | 58279/62573 | 734 CRC | 7.3 | MTHFR (rs1801133, rs1801131), MTR (rs1805087), MTRR (rs1801394), DNMT3B (rs2424913, rs406193), EHMT1 (rs4634736), EHMT2 (rs535586), PRDM2 (rs2235515) | CACNA1G, IGF2, NEUROG1, RUNX3, SOCS1 | Bat-26, Bat-25, NR-21, NR-22, NR-24 | Dietary folate, Met, vitamins B2 and B6, alcohol | Validated FFQ (self-reported) | No assoc | Unk | BMI, CRC family history, intake of energy and alcohol, sex, and smoking status | 9 |
de Vogel et al[37] | Netherlands | The Netherlands Cohort Study on diet and cancer (55-69) | 58279/62573 | 734 CRC | 7.3 | BRAF (V600E) | Dietary folate, Met, vitamins B2 and B6, alcohol | Validated FFQ (self-reported) | M: BRAF mut–folate (T3 vs T1): 3.04 (1.13-8.20), P-trend = 0.03; BRAF mut–Met (T3 vs T1): 0.28 (0.09-0.86), P-trend = 0.02); hMLH1 hypermethylation–vitamin B6 (T3 vs T1): 3.23 (1.15-9.06), P- trend = 0.03 | Unk | Age, BMI, CRC family history, intake of energy, meat, total fat, fibre, vitamin C, total iron and calcium, smoking status | 9 | ||
Schernhammer et al[38] | United States | The Nurses' Health Study (W) (30-55) and the Health Professional Follow-up Study (M) (40–75) | 47371/88691 | 669 CCa | 22 | KRAS | Unk | D2S123, D5S346, D17S250, Bat25, Bat26 (14), Bat40, D18S55, D18S56, D18S67, D18S487 | Folate, vitamins B6 and B12, Met, and alcohol | Validated FFQ (self-reported) | Unk | MSI/KRAS–folate: No assoc for CCa. MSI/KRAS–vitamins B6 or B12: No assoc for CCa | Age, aspirin use, smoking, BMI, colon polyps, CRC family history, intake of alcohol, energy, beef, calcium, vitamins B6 and B12, and Met, multivitamin use, PA, sex, screening sigmoidoscopy | 9 |
Schernhammer et al[39] | United States | The Nurses’ Health Study (30- 55) | 88691 W | 375 CCa | BRAF | CHFR, MGMT, p14, WRN, HTC1, MINT1, MINT31, IGFBP3 | Unk | Folate (Q4 vs Q1: No assoc with CIMP–high tumour risk; and no assoc with BRAF status | Unk | |||||
van Engeland et al[40] | Netherlands | Netherlands Cohort Study on Diet and Cancer (55-69) | 58279/62573 | 122 CRC | 7.3 | Unk | APC-1A, p14ARF, p16INK4A, hMLH1, O6-MGMT, and RASSF1A | Unk | Dietary folate and alcohol | Validated FFQ (self-reported) | Low vs high-methyl donor intake–promoter methylation (> 1 gene methylated): No assoc | Unk | Age, CRC family history, intake of energy, fibre, vitamin C, and iron, sex | 9 |
Gen, SNP/CIMP/MSI | Nutrients/alcohol | CRC risk/CIMP+ | Ref. |
MTHFR 677 TT | Folate; Adequate folate | CRC risk; CRC risk | Guerreiro et al[24]; Sharp et al[29]; Ma et al[26] |
Alcohol | CRC risk | Chen et al[23]; Ma et al[26] | |
Folate/Met, and without alcohol | CRC risk | Slattery et al[30] | |
Vitamin B6 | CRC risk | Sharp et al[29] | |
BRAF mutation | Folate | CRC risk (M) | de Vogel et al[37] |
Met | CRC risk (M) | ||
hMLH1 hypermethylation | Vitamin B6 | CRC risk (M) | |
MTHFR 1298 AC/CC | Folate/Met, and alcohol | CIMP+ | Curtin et al[32] |
MTHFR 1298 AA | Alcohol | CIMP+ (CCa) | |
p16 unmethylated, CIMPlow or BRAF mut | Alcohol | CRC risk | Slattery et al[36] |
hMSH3, MSI or MMR status | Niacin | CRC risk (DCCa) | Kim et al[34] |
- Citation: Chávez-Hidalgo LP, Martín-Fernández-de-Labastida S, M de Pancorbo M, Arroyo-Izaga M. Influence of methyl donor nutrients as epigenetic regulators in colorectal cancer: A systematic review of observational studies. World J Gastroenterol 2023; 29(7): 1219-1234
- URL: https://www.wjgnet.com/1007-9327/full/v29/i7/1219.htm
- DOI: https://dx.doi.org/10.3748/wjg.v29.i7.1219