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 | 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 |
- 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