| Literature DB >> 35402472 |
Qifan Zhang1, Qing Zhao1, Yan Shen1, Fuping Zhao1, Yan Zhu2.
Abstract
Purpose: The role of allium vegetables or garlic supplements on reducing cancer risk was inconsistent between laboratory study findings and related epidemiologic studies.Entities:
Keywords: allium vegetable; cancer risk; epidemiology; meta-analysis; supplement
Year: 2022 PMID: 35402472 PMCID: PMC8985597 DOI: 10.3389/fnut.2021.746944
Source DB: PubMed Journal: Front Nutr ISSN: 2296-861X
Characteristics of studies included in the meta–analysis.
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| Giovannucci ( | 1994 | Cohort | USA | 205 | 47,949 | 6 | Male | 40–75 | Colon | Garlic | 0.77 (0.51–1.16) |
| Dorant ( | 1994 | Case-cohort | Netherlands | 484 | 120,852 | 3.3 | Both | Lung | Onion | 0.80 (0.52–1.24) | |
| Leek | 1.08 (0.80–1.45) | ||||||||||
| Garlic supplements | 1.22 (0.81–1.86) | ||||||||||
| Steinmetz ( | 1994 | Cohort | USA | 212 | 41,837 | 5 | Female | 55–69 | Colon | Garlic | 0.68 (0.46–1.02) |
| Dorant ( | 1996 | Case-cohort | Netherlands | 152 | 120,852 | 3.3 | Both | 55–69 | Stomach | Garlic supplements | 1.29 (0.62–2.67) |
| 139 | Stomach | Onion | 0.50 (0.26–0.95) | ||||||||
| Leek | 0.69 (0.42–1.14) | ||||||||||
| Dorant ( | 1996 | Case-cohort | Netherlands | 443 | 120,852 | 3.3 | Both | 55–69 | Colon | Garlic supplements | 1.36 (0.79–2.35) |
| (293 colon, 150 rectum) | Rectum | 1.28 (0.63–2.60) | |||||||||
| (243 male, 200 female) | Male | Colon | Onion | 0.87 (0.48–1.65) | |||||||
| Rectum | 0.66 (0.28–1.52) | ||||||||||
| Female | Colon | 1.49 (0.79–2.81) | |||||||||
| Rectum | 1.34 (0.55–3.31) | ||||||||||
| Male | Colon | Leek | 1.10 (0.71–1.70) | ||||||||
| Rectum | 0.72 (0.40–1.30) | ||||||||||
| Female | Colon | 1.18 (0.73–1.89) | |||||||||
| Rectum | 1.31 (0.60–2.85) | ||||||||||
| Schuurman ( | 1998 | Case-cohort | Netherlands | 610 | 58,279 | 6.3 | Male | 55–69 | Prostate | Allium vegetables | 0.95 (0.69–1.33) |
| Onion | 0.93 (0.79–1.10) | ||||||||||
| Leek | 1.38 (1.08–1.76) | ||||||||||
| Li ( | 2004 | Intervention | China | 142 | 5,033 | 5 | Both | 35–74 | All | Garlic supplements | 0.67 (0.43–1.03) |
| (107 male, 35 female) | (2,526 intervention, 2,507 control) | Stomach | 0.48 (0.21–1.06) | ||||||||
| (53 stomach, 48 liver) | - | Liver | 0.78 (0.35–1.74) | ||||||||
| (63 intervention, 79 control) | Male | All | Garlic supplements | 0.51 (0.30–0.85) | |||||||
| Stomach | 0.36 (0.14–0.92) | ||||||||||
| Liver | 0.71 (0.28–1.78) | ||||||||||
| Female | All | Garlic supplements | 1.50 (0.62–3.61) | ||||||||
| Stomach | 1.14 (0.22–5.76) | ||||||||||
| Liver | 1.17 (0.23–5.92) | ||||||||||
| Schulz ( | 2005 | Cohort | Europe | 581 | 325,640 | 6.3 (mean) | Female | 19–98 | Ovary | Garlic/onion | 0.79 (0.62–1.01) |
| Lin et al. ( | 2006 | Cohort | USA | 878 | 107,401 | 10 | Both | 30–75 | Colorectum | Onion | 1.03 (0.82–1.29) |
| 380 | 35,425 | Male | 40–75 | 0.92 (0.65–1.29) | |||||||
| 498 | 71,976 | Female | 30–55 | 1.13 (0.84–1.53) | |||||||
| Boeing ( | 2006 | Cohort | Europe | 352 | 345,904 | 5.8 | Both | NA | Upper aero-digestive tract | Garlic/onion | 1.17 (0.73–1.86) |
| 255 | 130,633 | Male | 1.04 (0.79–1.36) | ||||||||
| 97 | 215,271 | Female | 1.20 (0.73–1.97) | ||||||||
| Gonzalez ( | 2006 | Cohort | Europe | 65 | 481,518 | 6.5 | Both | 35–70 | Esophagus | Garlic/onion | 1.27 (0.59–2.73) |
| Larsson ( | 2006 | Cohort | Sweden | 139 | 82,002 | 7.2 (mean) | Both | Stomach | Allium vegetables | 0.90 (0.58–1.41) | |
| (36,664 female, 45,338 male) | |||||||||||
| Kirsh ( | 2007 | Cohort | USA | 1,338 | 29,361 | 4.2 (mean) | Male | 55–74 | Prostate | Garlic | 0.88 (0.76–1.03) |
| Onion | 1.01 (0.88–1.17) | ||||||||||
| Satia ( | 2009 | Cohort | USA | 428 | 77,512 | 5 | Both | 50–76 | Colorectum | Garlic supplements | 1.35 (1.01–1.81) |
| 665 | 77,125 | Lung | Garlic supplements | 1.05 (0.83–1.34) | |||||||
| Epplein ( | 2010 | Cohort | China | 206 | 73,064 | 12 | Female | 40–70 | Stomach | Allium vegetables | 1.10 (0.74–1.63) |
| 132 | 59,247 | 6 | Male | 40–74 | 0.92 (0.58–1.46) | ||||||
| Walter ( | 2010 | Cohort | USA | 588 | 66,227 | 6.5 (mean) | Both | 50–76 | Hematologic malignancies | Garlic supplements | 0.55 (0.34–0.87) |
| Gonzalez ( | 2011 | Cohort | Europe | 1,070 | 299,651 | 9 (mean) | Female | 35–70 | Cervix | Garlic and onions | 1.09 (0.85–1.40) |
| Brasky ( | 2011 | Cohort | USA | 1,602 | 35,239 | 6.1 (median) | Men | 50–76 | Prostate | Garlic supplements | 1.00 (0.85–1.17) |
| Steevens ( | 2011 | Case-cohort | Netherlands | 824 | 120,852 | 16.3 | Both | 55–69 | Esophageal squamous cell carcinoma | Allium vegetables | 1.64 (0.88–3.08) |
| Esophageal adenocarcinoma | 0.84 (0.50–1.43) | ||||||||||
| Gastric cardia adenocarcinoma | 1.55 (0.94–2.56) | ||||||||||
| Gastric noncardia adenocarcinoma | 0.97 (0.69–1.35) | ||||||||||
| Esophageal squamous cell carcinoma | Onion | 1.10 (0.79–1.53) | |||||||||
| Eesophageal adenocarcinoma | 0.84 (0.65–1.09) | ||||||||||
| Gastric cardia adenocarcinoma | 1.21 (0.95–1.53) | ||||||||||
| Gastric noncardia adenocarcinoma | 0.91 (0.78–1.06) | ||||||||||
| McCullough ( | 2012 | Cohort | USA | 1,130 | 99,700 | 7 | Both | 69 | Colorectum | Garlic | 1.03 (0.77–1.37) |
| 579 | 42,824 | Male | 1.19 (0.79–1.79) | ||||||||
| 551 | 56,876 | Female | 0.87 (0.58–1.32) | ||||||||
| 764 | 89,921 | Both | Colorectum | Garlic supplements | 1.03 (0.74–1.44) | ||||||
| 390 | 38,053 | Male | 0.94 (0.57–1.53) | ||||||||
| 374 | 51,868 | Female | 1.09 (0.69–1.72) | ||||||||
| Gonzalez ( | 2012 | Cohort | Europe | 683 | 477,312 | 11.02 (mean) | Both | 35–70 | Stomach | Garlic/onion | 0.97 (0.76–1.25) |
| Meng ( | 2013 | Cohort | USA | 1,339 | 76,208 | 24 | Female | 30–55 | Colorectum | Garlic | 1.21 (0.94–1.57) |
| 1,029 | 45,592 | 22 | Male | 40–75 | 1.00 (0.71–1.42) | ||||||
| 578 | 76,208 | 4 | Female | 30–55 | Colorectum | Garlic supplements | 0.72 (0.49–1.07) | ||||
| 559 | 45,592 | 10 | Male | 40–75 | 1.22 (0.83–1.78) | ||||||
| Vogtmann ( | 2013 | Cohort | China | 398 | 61,274 | 6.3 (median) | Men | 40–74 | Colorectum | Allium | 0.99 (0.77–1.27) |
| Maasland ( | 2015 | Case-cohort | Netherlands | 415 | 120,852 | 20.3 | Both | 55–69 | Head and neck | Allium | 1.07 (0.76–1.50) |
| Onion | 0.93 (0.77–1.11) | ||||||||||
| Kim ( | 2018 | Cohort | USA | 292 | 123,484 | Both | Stomach | Garlic | 1.39 (0.89–2.17) | ||
| 138 | 77,086 | 30 | Female | 1.34 (0.72–2.47) | |||||||
| 154 | 46,398 | 28 | Male | 1.45 (0.76–2.78) | |||||||
| Li ( | 2019 | Intervention | China | 150 | 3365 | 14.7 | Both | 35–64 | Stomach | Garlic supplements | 0.81 (0.57–1.13) |
| (1678 intervention, 1687 control) | |||||||||||
| Yu ( | 2020 | Cohort | China | 270 | 3199 | 10 | Both | 30–70 | Liver | Garlic | 0.62 (0.42–0.93) |
Figure 1Forest plot of the association between allium vegetable consumption and cancer risk (highest vs. lowest category of allium vegetable consumption).
Figure 2Forest plot of the association between garlic supplement consumption and cancer risk (highest vs. lowest category of supplement consumption).
Figure 3Dose-response meta-analysis of the association between allium vegetable consumption and cancer risk. The solid line represents the linear relationship, and the short-dashed line represents the nonlinear relationship, with the long-dashed lines representing the 95% confidence intervals for the spline model.
Subgroup analysis of the association between allium vegetable and supplement consumption and cancer risk.
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| Overall | 25 | 0.97 (0.92–1.03) | 0.356 | 22.0 | 0.161 | |
| No of cases | ||||||
| ≥500 | 10 | 0.99 (0.93–1.06) | 0.775 | 0.0 | 0.516 | 0.433 |
| <500 | 15 | 0.95 (0.86–1.04) | 0.238 | 36.3 | 0.079 | |
| Sex | ||||||
| Female | 10 | 1.03 (0.93–1.14) | 0.539 | 38.0 | 0.105 | |
| Male | 11 | 0.96 (0.89–1.04) | 0.313 | 0.0 | 0.918 | 0.290 |
| Location | ||||||
| Europe and America | 21 | 0.98 (0.93–1.04) | 0.523 | 20.9 | 0.190 | 0.490 |
| China | 4 | 0.92 (0.77–1.09) | 0.314 | 38.8 | 0.179 | |
| Follow-up period | ||||||
| ≥7 y | 12 | 1.05 (0.96–1.14) | 0.304 | 0.0 | 0.455 | 0.063 |
| <7 y | 13 | 0.93 (0.87–1.00) | 0.040 | 22.5 | 0.216 | |
| Type of intake | ||||||
| Garlic | 8 | 0.93 (0.79–1.09) | 0.363 | 54.9 | 0.030 | |
| Onion | 9 | 0.96 (0.90–1.03) | 0.285 | 7.8 | 0.370 | 0.637 |
| Leek | 5 | 1.08 (0.88–1.34) | 0.445 | 46.5 | 0.112 | 0.114 |
| Tumor site | ||||||
| Digestive tract | 18 | 1.01 (0.94–1.09) | 0.791 | 18.1 | 0.237 | |
| Non-digestive tract | 7 | 0.94 (0.87–1.01) | 0.110 | 27.1 | 0.222 | 0.251 |
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| Overall | 11 | 0.97 (0.84–1.12) | 0.705 | 50.5 | 0.027 | |
| No of cases | ||||||
| ≥500 | 5 | 0.96 (0.80–1.16) | 0.689 | 59.9 | 0.029 | 0.840 |
| <500 | 6 | 0.99 (0.75–1.31) | 0.957 | 47.4 | 0.107 | |
| Sex | ||||||
| Female | 3 | 0.95 (0.65–1.39) | 0.783 | 37.8 | 0.200 | |
| Male | 4 | 0.92 (0.69–1.22) | 0.569 | 59.4 | 0.060 | 0.885 |
| Location | ||||||
| Europe and America | 9 | 1.03 (0.88–1.19) | 0.727 | 46.2 | 0.062 | 0.141 |
| China | 2 | 0.75 (0.58–0.99) | 0.040 | 0.0 | 0.503 | |
| Follow-up period | ||||||
| ≥5 y | 7 | 0.94 (0.79–1.12) | 0.473 | 58.6 | 0.025 | 0.475 |
| <5 y | 4 | 1.07 (0.78–1.47) | 0.661 | 45.7 | 0.137 | |
| Tumor site | ||||||
| Digestive tract | 8 | 1.02 (0.83–1.26) | 0.859 | 51.0 | 0.046 | |
| Non-digestive tract | 5 | 0.95 (0.78–1.17) | 0.639 | 47.1 | 0.109 | 0.638 |
Two studies reported effect sizes of more than one disease subgroup.
Figure 4Sensitivity analysis for cancer risk with allium vegetable (A) and garlic supplement (B).