| Literature DB >> 27112267 |
Yacong Bo1, Jinfeng Sun2, Mengmeng Wang1, Jizhe Ding1, Quanjun Lu1, Ling Yuan3.
Abstract
Several epidemiological studies have investigated the association between dietary flavonoid intake and digestive tract cancers risk; however, the results remain inconclusive. The aim of our study was to evaluate this association. PubMed and the Web of Knowledge were searched for relevant publications from inception to October 2015. The risk ratio (RR) or odds ratio (OR) with the 95% confidence interval (95% CI) for the highest versus the lowest categories of flavonoid intake were pooled using a fixed-effects model. A total of 15 articles reporting 23 studies were selected for the meta-analysis. In a comparison of the highest versus the lowest categories of dietary flavonoid intake, we found no significant association between flavonoid intake and oesophageal cancer (OR = 0.91, 95% CI = 0.75-1.10; I(2) = 0.0%), colorectal cancer (OR = 1.02, 95% CI = 0.92-1.14, I(2) = 36.2%) or gastric cancer (OR = 0.88; 95% CI = 0.74-1.04, I(2) = 63.6%). The subgroup analysis indicated an association between higher flavonoid intake and a decreased risk of gastric cancer in the European population (OR = 0.78, 95% CI = 0.62-0.97). In conclusion, the results of this meta-analysis do not strongly support an association between dietary flavonoid intake and oesophageal or colorectal cancer. Furthermore, the subgroup analysis suggested an association between higher dietary flavonoid intake and decreased gastric cancer risk in European population.Entities:
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Year: 2016 PMID: 27112267 PMCID: PMC4845003 DOI: 10.1038/srep24836
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1The flow diagram of screened, excluded, and analyzed publications.
Characteristics of studies on flavonoids intake and digestive tract cancers risk.
| First author, year | Country | Cancer site | Study design | Dietary assessment | Participants (cases) | Intake comparison, High vs. low (mg/d) | RR (95% CI) for highest vs lowest category | Adjustment for covariates |
|---|---|---|---|---|---|---|---|---|
| Bobe | America | EC | Case–control | 75-item FFQ | 2406 (493) | White: >107 vs < 43.0 Black > 99.6 vs < 38.6 | White-EAC :0.71 (0.36–1.42), White-ESCC: 1.19 (0.50–2.81) Black-ESCC: 0.72 (0.35–1.46) | smoking duration and intensity, geographical area, age, body mass index, hot tea consumption, hard liquor consumption, beer consumption, red wine consumption, white wine consumption |
| Vermeulen | European | EC | Cohort | Validated FFQ | 477312 (341) | NR | 0.96 (0.66–1.39) | center, age, sex, energy intake, body mass index, smoking intensity, educational level, physical activity, alcohol, red and processed meat, fiber, vitamin C, and carotenoids intake. |
| Petrick | America | EC and GC | Case–control | 104-item FFQ | 1716 (EC:465, GC: 589) | ≥217.36 vs. 0–63.81 | EAC:0.92 (0.63–1.37) ESCC: 0.87 (0.53–1.41) GCA: 1.32 (0.87- 2.00) OGA: 1.08 (0.73, 1.58) | age, sex, race, geographic centre, cigarette smoking, and dietary energy intake |
| Rossi | Italy | EC | Case–control | 78-item FFQ | 107 (304) | >217.4vs < 96.5 | 0.99 (0.55–1.79) | age, sex, study centre, education, alcohol consumption, tobacco smoking, body mass index and energy intake |
| Hirvonen | Finland | CC and GC | Cohort | 276-item FFQ | 25776 (CC: 133, GC: 111) | 16.3 vs. 4.2 (median) | CC: 1.7 (1.0–2.7) GC: 1.2 (0.71–1.9) | age and supplementation group |
| Rossi | Italy | CC | Case–control | 78-item FFQ | 6107 (1953) | >191.1vs < 75.3 | 0.97 (0.81–1.16) | age, sex, study center, family history of colorectal cancer, education, alcohol consumption, body mass index, occupational physical activity, and energy intake, according to the residual model |
| Zamora-Ros | Spain | CC | Case–control | 600-item FFQ | 825 (424) | >167.9vs < 68.9 | 0.59 (0.35–0.99) | sex, age, BMI, energy intake, alcohol and fiber intake, red and processed meat intake, tobacco consumption, physical activity, regular drugs, and family history of colorectal cancer |
| Lin | America | CC | Cohort | 131-item FFQ | 107401 (878) | Nurses’ Health Study cohort: >31.1 vs < 9.6 Health Professionals Follow-up Study cohort: >30.5 vs < 10.7 | 1.19 (0.94–1.49) | djusted for age, body mass index, family history of colorectal cancer, history of colorectal polyps, prior sigmoidoscopy screening, physical activity, smoking status, red meat intake, alcohol consumption, total energy, calcium, folate, and fiber intake, aspirin use, and multivitamin use |
| Mursu | Finland | CC | Cohort | 4-day food recording | 2590 (55) | NR | 1.16 (0.58–2.34) | age and examination years, BMI, smoking status, pack-years of smoking, physical activity, alcohol, total fat, saturated fat, energy adjusted intake of fiber, vitamin C and E. |
| Simons | Netherland | CC | Cohort | 150-item FFQ | 3906 (2219) | 36.0–105.0 vs. 1.4–16.0 | 0.97 (0.76–1.23) | age, family history of colorectal cancer, smoking status, alcohol intake, nonoccupational physical activity, BMI and processed meat intake |
| Wang | America | CC | Cohort | 131-item FFQ | 38408 (3234) | 34.55–236.38 vs. 0–11.55 | 0.93 (0.83–1.03) | Age, race, total energy intake, randomized treatment assignment, smoking, alcohol use, physical activity, postmenopausal status, hormone replacement therapy use, multivitamin use, BMI, family history of colorectal cancer, ovary cancer, and breast cancer, and intake of fruit and vegetables, fiber, folate, and saturated fat |
| Knekt | Finnish | CC and GC | Cohort | >100-item FFQ | 10054 (CC: 90, GC: 74) | NR | CC: 0.84 (0.43, 1.64) GC: 0.87 (0.44, 1.75) | sex, age, geographic area, occupation, smoking, and BMI |
| Garcia-Closas | Spain | GC | Case–control | 77-item FFQ | 708 (354) | NR | 0.44 (0.25–0.78) | intake of nitrites, nitrosamines, vitamin C, total energy, and total carotenoids |
| Woo | Korea | GC | Case–control | 103-item FFQ | 668 (334) | 152.3 vs. 52.5 (median) | 0.62 (0.36–1.09) | Total energy intake, H. pylori, age, sex, education, smoking status, alcohol consumption, BMI, physical activity, and consumption of pickled vegetable and red and processed meat, fruits and vegetable consumption. |
| Zamora-Ros | European | GC | Cohort | Validated FFQ | 477386 (683) | >595.5 vs < 200.4 | 0.97 (0.67–1.41) for men, 0.49 (0.30–0.80) for women | center, age, and sex and adjusted for energy intake, body mass index, smoking intensity, educational level, physical activity, alcohol, and red and processed meat intake, fiber, vitamin C, and carotenoids |
Abbreviations: FFQ, Food Frequency Questionnaire; OR, Odds Ratio; CI, Confidence Interval; GCA, Gastric Cardia Adenocarcinoma; OGA, Other Gastric Adenocarcinoma; EAC, Esophageal Adenocarcinoma; ESCC, Esophageal Squamous Cell Cancer, CC, Colorectal cancer; GC, Gastric Cancer.
Figure 2The forest plot between highest versus lowest categories of flavonoids intake and digestive tract cancers risk.
Subgroup analysis of flavonoids intake and risk of esophageal, colocteral and gastric cancer.
| Subgroups | Cancer site | No. ofcases | No. ofstudies | OR (95% CI) | Heterogeneity test | |
|---|---|---|---|---|---|---|
| Geographic locations | ||||||
| Europe | Esophageal | 645 | 2 | 0.97 (0.71–1.33) | 0 | 0.931 |
| America | Esophageal | 4558 | 5 | 0.87 (0.68–1.11) | 0 | 0.879 |
| Cancer subtype | ||||||
| ESCC | Esophageal | 827 | 4 | 0.91 (0.66–1.24) | 0 | 0.827 |
| EAC | Esophageal | 435 | 2 | 0.86 (0.62–1.21) | 0 | 0.520 |
| Study design | ||||||
| Cohort | Esophageal | 341 | 1 | 0.96 (0.66–1.39) | N/A | N/A |
| Case-control | Esophageal | 1262 | 6 | 0.89 (0.71–1.11) | 0 | 0.930 |
| Geographic locations | ||||||
| Europe | Colorectal | 4847 | 7 | 0.96 (0.86–1.08) | 34.5 | 0.165 |
| America | Colorectal | 4112 | 2 | 1.14 (0.94–1.39) | 0 | 0.480 |
| Cancer subtype | ||||||
| Colon | Colorectal | 3005 | 4 | 0.92 (0.80–1.05) | 46.6 | 0.132 |
| Rectum | Colorectal | 1388 | 4 | 0.90 (0.75–1.08) | 0 | 0.482 |
| Study design | ||||||
| Cohort | Colorectal | 6609 | 7 | 1.05 (0.93–1.19) | 16 | 0.308 |
| Case-control | Colorectal | 2377 | 2 | 0.92 (0.78–1.09) | 68.1 | 0.076 |
| Geographic locations | ||||||
| Europe | Gastric | 1222 | 5 | 0.78 (0.62–0.97) | 65.8 | 0.020 |
| America | Gastric | 589 | 2 | 1.19 (0.89–1.57) | 0 | 0.488 |
| Asia | Gastric | 334 | 1 | 0.62 (0.38–1.08) | N/A | N/A |
| Study design | ||||||
| Cohort | Gastric | 1277 | 4 | 0.86 (0.67–1.09) | 74.8 | 0.008 |
| Case-control | Gastric | 868 | 4 | 090 (0.72–1.13) | 58.4 | 0.065 |
Abbreviations: OR, Odds Ratio; EAC, Esophageal Adenocarcinoma; ESCC, Esophageal Squamous Cell Cancer.
Figure 3Funnel plot for publication bias of flavonoids intake and digestive tract cancers risk (A) Funnel plot of publication bias for all digestive tract cancers, (B) Funnel plot of publication bias for esophageal cancer, (C) Funnel plot for publication bias of colorectal cancer, (D) Funnel plot for publication bias of gastric cancer.