| Literature DB >> 33027981 |
Sumio Hayakawa1, Tomokazu Ohishi2, Noriyuki Miyoshi3, Yumiko Oishi1, Yoriyuki Nakamura3, Mamoru Isemura3.
Abstract
Tea and coffee are consumed worldwide and epidemiological and clinical studies have shown their health beneficial effects, including anti-cancer effects. Epigallocatechin gallate (EGCG) and chlorogenic acid (CGA) are the major components of green tea polyphenols and coffee polyphenols, respectively, and believed to be responsible for most of these effects. Although a large number of cell-based and animal experiments have provided convincing evidence to support the anti-cancer effects of green tea, coffee, EGCG, and CGA, human studies are still controversial and some studies have suggested even an increased risk for certain types of cancers such as esophageal and gynecological cancers with green tea consumption and bladder and lung cancers with coffee consumption. The reason for these inconsistent results may have been arisen from various confounding factors. Cell-based and animal studies have proposed several mechanisms whereby EGCG and CGA exert their anti-cancer effects. These components appear to share the common mechanisms, among which one related to reactive oxygen species is perhaps the most attractive. Meanwhile, EGCG and CGA have also different target molecules which might explain the site-specific differences of anti-cancer effects found in human studies. Further studies will be necessary to clarify what is the mechanism to cause such differences between green tea and coffee.Entities:
Keywords: AMPK; EGCG; NF-κB; ROS; cancer; chlorogenic acid; coffee; tea
Mesh:
Substances:
Year: 2020 PMID: 33027981 PMCID: PMC7582793 DOI: 10.3390/molecules25194553
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1Chemical structures of EGCG and CGA.
Recent observational epidemiological studies on anti-cancer effects of green tea.
| Cancer Type | Evaluation: Decrease (↓) or No Effect (+/−) in Cancer Risk | Hazard Risk (HR) or Odds Ratio (OR) or Relative Risk (RR) [Confidence Interval] | Note | Reference |
|---|---|---|---|---|
| Breast cancer | ↓ | HR = 0.82 [0.70–0.95] for ≥5 vs. 0 cups/day | Cohort study onwomen with family history of breast cancer | [ |
| Breast cancer | ↓ | HR = 0.86 [0.75–0.99] for highest vs. lowest intake | Meta-analysis of 16 cohort and case-control studies | [ |
| Breast cancer | ↓ | OR = 0.83 [0.72–0.96] | Meta-analysis of 14 case-control studies | [ |
| Colorectal cancer | +/− | Cohort study on men and women | [ | |
| Colon cancer | ↓ | RR = 1.32 [0.90–1.94] for once/day vs. less than once/day RR = 0.76 [0.57–1.02] for 2–3 times/day RR = 0.78 [0.49–1.22] for ≥4 times/day | Cohort study on men | [ |
| Head and neck squamous cell carcinoma | ↓ | OR = 0.29 [0.16–0.52] for <1 cup/day vs. no intake OR = 0.38 [0.17–0.86] for ≥1 cup/day vs. no intake | Case-control studyon men and women | [ |
| Hematologic neoplasms | ↓ | HR = 0.65 [0.42–1.00] for ≤2 cups/day vs. no intake HR = 0.73 [0.47–1.13] for 3–4 cups/day vs. no intake HR = 0.63 [0.42–0.96] for ≥5 cups/day vs. no intake | Cohort studyon men and women | [ |
| Total cancer | ↓ | HR = 0.89 [0.83–0.96] for 1–2 cups/day vs. <1 cup/day HR = 0.91 [0.85–0.98], for 3–4 cups/day vs. <1 cup/day | Meta-analysis on 8 cohort study on women | [ |
Figure 2A possible mechanism by which EGCG and CGA exert anti-cancer effects via scavenging/downregulation of ROS. Red↓and blue↑marks represent downregulation/suppression and upregulation/stimulation, respectively.
Figure 3A possible mechanism by which EGCG and CGA exert anti-cancer effects via generation/upregulation of ROS. Red↓ and blue↑ marks represent downregulation/suppression and upregulation/stimulation, respectively.
Comparison of anticancer effects in humans between tea and coffee.
| Cancer Type | Tea/Green | Coffee/Caffeinated Coffee/Decaffeinated Coffee * | Type of Epidemiological Study |
|---|---|---|---|
| Bladder | ↓ | +/− | Cohort study [ |
| Bladder | +/− | ↑ | Meta-analysis of cohort study and case-control study [ |
| Brain | ↓ | ↓ | Meta-analysis of cohort study and case-control study [ |
| Breast | +/− | +/− | Cohort study [ |
| Colorectal | +/− | +/− | Cohort study [ |
| Colorectal | ↓ | +/− | Case-control study [ |
| Endometrial | +/− | ↓ | Case-control study [ |
| Glioma | ↓ | +/− | Cohort study [ |
| Glioma | ↓ | ↓ | Case-control study [ |
| Leukemia, acute myeloid | +/− | +/− | Cohort study [ |
| Leukemia, childhood acute myeloid | +/− | ↑ | Meta-analysis of case-control study [ |
| Leukemia, childhood acute lymphoblastic | +/− | ↑ | Meta-analysis of case-control study [ |
| Liver | +/− | ↓ | Cohort study [ |
| Liver | +/− | ↓ | Meta-analysis of cohort study and case-control study [ |
| Lung | ↓ | ↑ | Cohort study [ |
| Lymphoma, non-Hodgikin’s | ↓ | +/− | Meta-analysis of cohort study and case-control study [ |
| Melanoma, cutaneous | +/− | ↓ | Meta-analysis of cohort study [ |
| Ovarian | +/− | +/− | Cohort study [ |
| Prostate | +/− | +/− | Cohort study [ |
| Renal cell carcinoma | +/− | +/− | Cohort study [ |
| Skin cancer, | ↓ | ↓ | Cohort study [ |
| Stomach | +/− | +/− | Meta-analysis of cohort study and case-control study [ |
| Thyroid | +/− | +/− | Cohort [ |
* Risk decrease, risk increase and no effect are shown by ↓, ↑, and +/−, respectively.