| Literature DB >> 26180594 |
Jincheng Wang1, Lili Tang1, Jia-Sheng Wang1.
Abstract
Polyphenols, commonly contained in fruits and vegetables, have long been associated with a protective role against multiple diseases and adverse health effects. Generally, in vitro and animal experiments have provided strong positive evidence, whereas evidence from in vivo and human epidemiological studies is not strong enough. Most epidemiological studies to date use food frequency questionnaire based dietary intake estimations, which inevitably incur imprecision. Biomarkers of polyphenol have the potential to complement and enhance current studies. This review performed a literature search of all epidemiological studies or controlled clinical/intervention trials which employed biomarkers of exposure for polyphenols to help assess their anticarcinogenic role, using studies on green tea polyphenols as a study model. Currently, studies on this topic are still limited; breast cancer and prostate cancer were the only widely studied cancer types. Isoflavone is the only widely studied polyphenol. In addition to associations between polyphenols and cancer risks, factors such as host genetic susceptibility, epigenetic modification, and gut microbiome patterns may also impact on the protective roles of polyphenols. More evidence should be collected by utilizing biomarkers of exposure for polyphenols in future epidemiological studies before a clear conclusion can be made.Entities:
Mesh:
Substances:
Year: 2015 PMID: 26180594 PMCID: PMC4477246 DOI: 10.1155/2015/732302
Source DB: PubMed Journal: Oxid Med Cell Longev ISSN: 1942-0994 Impact factor: 6.543
Epidemiological studies/clinical trials employed biomarkers of polyphenol exposure.
| Reference | Location | Types of study | Cancer type | Number of subjects | Polyphenol | Plasma level1
| Urinary excretion1
|
|---|---|---|---|---|---|---|---|
|
[ | Australia | Case-control | Breast cancer |
Cases: 144 | Equol | nmol/24 h | |
| Daidzein | nmol/24 h | ||||||
|
| |||||||
| [ | Netherland | Nested case-control | Breast cancer | Cases: 88 | Genistein | Cases: 0.70 | |
|
| |||||||
| [ | Germany | Case-control | Breast cancer | Cases: 220 | Genistein | Cases: 4.5 | |
|
| |||||||
| [ | Netherland | Nested case-control | Breast cancer | Cases: 383 | Daidzein | Cases: 9.20–11.25 | |
|
| |||||||
|
[ | UK | Nested case-control | Breast cancer | Plasma | Daidzein | All: 8.7 | All: 0.60 |
| Urinary | Equol | All: 0.4 | All: 0.0036 | ||||
|
| |||||||
|
[ | China | Nested case-control | Breast cancer |
Cases: 60 | Daidzein | Cases: 2.15 | |
| Genistein | Cases: 0.76 | ||||||
|
| |||||||
|
[ | China | Nested case-control | Breast cancer |
Cases: 250 | Daidzein | Mean | |
| Genistein | Mean | ||||||
|
| |||||||
|
[ | Japan | Nested case-control | Breast cancer |
Cases: 144 | Daidzein | Cases: 65.7 | |
| Genistein | Cases: 487.7 | ||||||
|
| |||||||
|
[ | Japan | Nested case-control | Prostate cancer |
Cases: 201 | Daidzein | Cases: 145.5 | |
| Genistein | Cases: 330.4 | ||||||
| Equol | Cases: 65.7 | ||||||
|
| |||||||
|
[ | UK | Nested case-control | Prostate cancer | Cases: 193 | Daidzein | All: 9.8 | All: 0.51 |
| Equol | All: 0.04 | All: 0.009 | |||||
|
| |||||||
|
[ | EU | Nested case-control | Prostate cancer | Cases: 950 | Daidzein | All: 4.3 | |
| Equol | All: 0.8 | ||||||
|
| |||||||
|
[ | US | Nested case-control | Prostate cancer |
Cases: 249 | Daidzein | Cases: 0.173 | |
| Genistein | Cases: 0.048 | ||||||
| Equol | Cases: 0.005 | ||||||
|
| |||||||
|
[ | Jamaica | Case-control | Prostate cancer |
Cases: 175 | Daidzein | Cases: 0.199 | |
| Genistein | Cases: 0.280 | ||||||
| Equol | Cases: 0.072 | ||||||
|
| |||||||
| [ | US | Clinical trial | Prostate cancer | Catechin | |||
|
| |||||||
|
[ | China | Nested case-control | Colorectal cancer |
Cases: 162 | EGC | Geometric mean | |
| 4′-MeEGC | Geometric mean | ||||||
|
| |||||||
|
[ | UK | Nested case-control | Colorectal cancer | Cases: 221 | Daidzein | All: 8.7 | All: 0.53 |
| Equol | All: 0.04 | All: 0.002 | |||||
|
| |||||||
| [ | China | Nested case-control | Gastric cancer | Cases: 190 | Catechins | Unclear | |
|
| |||||||
| [ | Korea | Nested case-control | Gastric cancer | Cases: 131 | Daidzein | Cases: 80.5 | |
|
| |||||||
|
[ | Japan | Nested case-control | Gastric cancer |
Cases: 483 | Daidzein | Cases: ~161 | |
| Genistein | Cases: 17 | ||||||
|
| |||||||
| [ | China | Nested case-control | Esophageal cancer | Cases: 42 | Catechins | Unclear | |
|
| |||||||
|
[ | Japan | Nested case-control | Lung cancer |
Cases: 126 | Daidzein | Cases: 115.2 | |
| Genistein | Cases: 266.4 | ||||||
| Equol | Cases: 11.6 | ||||||
|
| |||||||
| [ | China | Clinical trial | Liver cancer | Catechin | |||
1All values are median, unless otherwise noted.
2All units are nmol/mg creatinine, unless otherwise noted.