
AbstractThe identification of modifiable lifestyle factors that could reduce the risk of breast cancer is a research priority. Despite the enormous chemopreventive potential of green tea and compelling evidence from animal studies, its role in breast cancer development in humans is still unclear. Part of the uncertainty is related to the relatively small number of epidemiological studies on green tea and breast cancer and that the overall results from case‐control studies and prospective cohort studies are discordant. In addition, the mechanisms by which green tea intake may influence risk of breast cancer in humans remain not well studied. We review the human studies that have evaluated the relationship between green tea intake and four biomarkers (sex steroid hormones, mammographic density, insulin‐like growth factor, adiponectin) that are believed to be important in breast cancer development. Results from these biomarker studies are also inconclusive. Limitations of observational studies and areas of further investigations are discussed.
Risk, Tea, Plant Extracts, Breast Neoplasms, Estrogens, Antineoplastic Agents, Phytogenic, Catechin, Somatomedins, Androgens, Animals, Anticarcinogenic Agents, Humans, Female, Adiponectin, Biomarkers, Mammography, Phytotherapy
Risk, Tea, Plant Extracts, Breast Neoplasms, Estrogens, Antineoplastic Agents, Phytogenic, Catechin, Somatomedins, Androgens, Animals, Anticarcinogenic Agents, Humans, Female, Adiponectin, Biomarkers, Mammography, Phytotherapy
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 45 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
