| Literature DB >> 30857144 |
Liu-Xiang Wang1, Yun-Long Shi2, Long-Jie Zhang3, Kai-Rong Wang4, Li-Ping Xiang5, Zhuo-Yu Cai6, Jian-Liang Lu7, Jian-Hui Ye8, Yue-Rong Liang9, Xin-Qiang Zheng10.
Abstract
There is epidemiological evidence showing that drinking green tea can lower the risk of esophageal cancer (EC). The effect is mainly attributed to tea polyphenols and their most abundant component, (-)-epigallocatechin-3-gallate (EGCG). The possible mechanisms of tumorigenesis inhibition of EGCG include its suppressive effects on cancer cell proliferation, angiogenesis, DNA methylation, metastasis and oxidant stress. EGCG modulates multiple signal transduction and metabolic signaling pathways involving in EC. A synergistic effect was also observed when EGCG was used in combination with other treatment methods.Entities:
Keywords: DNA methylation; angiogenesis; anticancer; metastasis; oxidant stress; tea polyphenols
Mesh:
Substances:
Year: 2019 PMID: 30857144 PMCID: PMC6429180 DOI: 10.3390/molecules24050954
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Inclusion and exclusion criteria for literature search.
| Search Strategy | Details |
|---|---|
| Inclusion criteria |
The studies were performed on humans, animals, cells. It focuses on the relationship of tea or polyphenol, or EGCG, catechins on EC. However, if one literature was not related with tea and EC but it is necessary for background information, we also cited it in the paper. Full text is available. Reviews and articles are all accepted. It is published in English. If it was a case control or cohort study, and the NOS score ≥5. |
| Exclusion criteria |
Important data was not available in the article. It has nothing to do with tea on EC and is not necessary for background. Full text is not available. It is not published in English. It was a case control or cohort study, but the NOS score <5. |
| Time filter | None (from inception) |
| Databases | Pubmed/Medline, Embase and Web of science |
Epidemiological studies of green tea drinking on EC risk.
| Author | Study Type | Green Tea Drinking: Frequency or Amount | Risk Estimate of RR (95% CI) | Comments |
|---|---|---|---|---|
| Zheng et al. | Meta-analysis |
| No significant association between green tea consumption and EC risk, but an evidence of protective effect was observed among female. | |
| Non-tea drinker | 1.00 | |||
| Tea drinker | 0.86 (0.7–1.03) | |||
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| Non-tea drinker | 1.00 | |||
| Tea drinker | 1.04 (0.49–1.59) | |||
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| Non-tea drinker | 1.00 | |||
| Tea drinker | 0.43 (0.21–0.66) | |||
| Nechuta et al. | Prospective cohort study | Non-tea drinker | 1.00 | Adjusted for age, marital status, education, occupation, BMI, exercise, fruit and vegetable intake, meat intake, diabetes, and family history of digestive system cancer. |
| Tea drinker: | ||||
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| <100 g/month | 0.87 (0.55–1.37) | |||
| 100–150 g/month | 0.74 (0.47–1.17) | |||
| ≥150 g/month | 0.76 (0.48–1.19) | |||
| Non-tea drinker | 1.00 | |||
| Tea drinker: | ||||
|
| ||||
| <10 years | 0.85 (0.55–1.32) | |||
| 10–19 years | 0.77 (0.46–1.28) | |||
| ≥20 years | 0.74 (0.49, 1.14) | |||
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| Non-tea drinker | 1.00 | |||
| Green tea drinker | 0.77 (0.57–1.03) | |||
| Zheng et al. | Meta-analysis |
| Green tea consumption was slightly inversely associated with EC risk, and it was more evident in Chinese population. No protective effect was found for black tea consumption. | |
| Non-tea drinker | 1.00 | |||
| Green tea drinker | 0.77 (0.57–1.04) | |||
|
| ||||
| Non-tea drinker | 1.00 | |||
| Green tea drinker | 0.64 (0.44–0.95) | |||
| Sang et al. | Meta-analysis |
| No significant association between green tea consumption and risk of EC. However, subgroup analysis showed a significant reduction (54%) in risk of EC in women with the highest green tea consumption compared with no/occasional drinkers. | |
| Non-tea drinker | 1.00 | |||
| Tea drinker | 1.14 (0.97–1.35) | |||
| Moderate Drinker | 0.94 (0.77–0.13) | |||
| Little-drinker | 0.97 (0.77–1.22) | |||
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| Non-tea drinker | 1.00 | |||
| Tea drinker | 0.46 (0.29–0.73) | |||
| Oze et al. | Hospital based case control study |
| Models included age, sex, coffee and green tea intake, cumulative smoking, alcohol consumption, fruit and vegetable intake, body mass index, occupation and frequency of rice intake. | |
| Less than 1cup/day | 1.00 | |||
| 1 cup/day | 1.20 (0.82–1.77) | |||
| 2 cups/day | 1.00 (0.65–1.65) | |||
| ≥3 cups/day | 1.31 (0.95–1.81) | |||
| Zamora-Ros et al. | Prospective cohort study | Non-tea drinker | 1.00 | Adjusted for center, sex, age, educational level, smoking status and intensity, physical activity, energy intake, daily consumption of fruit, vegetables, red and processed meat and coffee and tea mutually. |
| Green tea drinker | ||||
|
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| <178.6 mg/d | 0.85 (0.60–1.20) | |||
| ≥178.6 mg/d | 0.74 (0.51–1.08) | |||
| Das et al. | Hospital based | Tea drinker | Drinking tea ≥ 3 cups/day, the occurrence rate of ESCC increased. | |
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| 2 | ||||
| 3 | ||||
| 4 | ||||
| Tai et al. | Population-based case-control study | Tea temperature: | Age, sex, education level, body mass index, smoking status, alcohol drinking, family history of cancer in first degree relatives, and daily intakes of vegetables and fruits | |
| Low or mild (<60 °C) | 1.0 | |||
| High (≥60 °C) | 2.23 (1.45–2.90) | |||
| Yang et al. | Population based case control study | Never tea drinking | 1.00 | Adjusted for age, marital status, education, occupation, family wealth score, body mass index 10 years ago, sum of missing and filled teeth, number of tooth brushing per day, smoking pack-years, alcohol consumption intensity and family history of EC among first-degree relatives. |
| Hot tea drinking | 2.15 (1.52–3.05) | |||
| Yu et al. | Population based cohort study |
| Adjusted for age, sex, education, marital status, household income, physical activity, intake of red meat, fresh fruits and vegetables and preserved vegetables, body mass index, family history of cancer, and tobacco smoking. | |
| Less Than Weekly | 1.00 | |||
| Weekly | 0.82 (0.57–1.18) | |||
| Daily | ||||
| Warm | 0.92 (0.66–1.30) | |||
| Hot | 1.23 (0.96–1.59) | |||
| Burning hot | 1.36 (1.00–1.86) | |||
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| Less Than Weekly | 1.90 (1.57–2.31) | |||
| Weekly | 2.60 (1.79–3.76) | |||
| Daily | ||||
| Warm | 3.74 (2.86–4.90) | |||
| Hot | 3.84 (3.06–4.83) | |||
| Burning hot | 5.00 (3.64–6.88) |
Anticancer effects of green tea and its bioactive constituents on EC in in vitro and in vivo studies.
| Author/ | Compound/ | Cell Line | Animal Model | Observed Effects | |
|---|---|---|---|---|---|
| Ye et al. | EGCG | TE-8 SKGT-4 | NA | ↓ | Cell proliferation, Invasion, pERK1/2, c-Jun, COX-2 Caspase-3 |
| Ye et al. | EGCG | NA | Nude mouse xenograft | ↓ | Tumor growth, Ki67, pERK1/2, COX-2 |
| Hou et al. | EGCG | KYSE150 OE-19 | NA | ↓ | EGFR, pEGFR, HER-2/neu, pHER-2/neu, PDGFRβ and colony formation |
| Liu et al. | EGCG | Eca-109 Te-1 | NA | ↓ | Proliferation, Cell cycle, VEGF |
| Liu et al. | EGCG | NA | Nude mouse xenograft | ↓ | VEGF, Tumor growth Cleaved-caspase-3 |
| Gao et al. | EGCG | Eca-109 | NA | ↑ | Apoptosis, Caspase-3, Caspase-9, JNK, P38 |
| Meng et al. | EGCG | Eca-109 | NA | ↓ | Cell proliferation Apoptosis, p16 gene demethylation |
| Liu et al. | EGCG | Ec-9706 Eca-109 | NA | ↓ | Cell proliferation, telomerase activity, mitochondrial membrane potential |
| Liu et al. | EGCG | Ec-9706 Eca-109 | NA | ↓ | Cell proliferation, Bcl-2 |
| Li et al. | EGCG4–10 mg/kg | NA | NMBA-induced F344 rat | ↓ | Cyclin D1, COX-2, PGE-2, tumor growth, EC incidence rate |
| Song et al. | Polyphenon E | SEG-1 | NA | ↓ | Cell proliferation, Cyclin D1, |
| Chen et al. | Green tea | NA | NMBA-induced Wistar rat | ↓ | Tumor incidence, tumor growth, DNA methylation, urinary N-nitrosoproline (NPRO) excretion, incidences of general lesions and precancerous lesions |
| Fang et al. | EGCG | KYSE 510 | NA | ↓ | DNMT, cell growth |
| Morse et al. | EGCG | NA | NMBA-induced F344 rat | ↓ | Tumor incidence, tumor multiplicity |
| Wang et al. | 0.6% or 0.9% green tea extract | NA | NMBA- induced rat model | ↓ | Tumor incidence, tumor multiplicity, tumor growth |
Note: NA, No available; ↓ Inhibit; ↑ Promote. Abbreviation: pERK, phosphorylated extracellular regulated protein kinases; COX-2, Cyclooxygenase-2; EGFR, epidermal growth factor receptor; pEGFR, phosphorylated epidermal growth factor receptor; HER-2, human epidermal growth factor receptor-2; PDGFRβ, platelet—derived growth factor receptor β; VEGF, vascular endothelial growth factor; ROS, reactive oxygen species; JNK, c-Jun N-terminal kinase; BCL-2, B-cell lymphoma-2; Prostaglandin E2, PGE-2; MGMT, O6-methylguanine methyltransferase; hMLH1, human mutL homologue 1; RARβ, retinoic acid receptor; NMBA, N-Nitrosomethylbenzylamine; DNMT, DNA methyltransferases.
Figure 1Possible mechanisms of EGCG on EC based on published literatures. Note: A red symbol” T” means “Inhibition”; a green arrow means “Activation”. Abbreviation: PKC: protein kinase C; PI3K, phosphatidylinositol 3-kinase; Akt, protein kinase B; SOD, Superoxide dismutase; CAT, catalase; GPX, glutathione peroxidases; EP, E-series of Prostaglandin; G α/β, G protein α/β; Nrf2, nuclear related factor erythroid-derived 2; Keap1, Kelch like ECH associated protein 1; NF-kB, Nuclear factor kB.
Pharmaceutical synergistic effects of EGCG with other treatments on EC.
| Reference | Ingredient | Drug | Cell Line | Cytotoxic Action |
|---|---|---|---|---|
| Ye et al. | EGCG | Curcumin, lovastatin, or curcumin and lovastatin | SKGT-4 TE-8 | Suppressing tumor cell viability and invasion; inhibiting xenograft tumor growth in nude mouse through downregulating the expression of p-ERK1/2, c-Jun and COX-2; upregulating caspase 3 expression. |
| Gao et al. | EGCG | Vitamin C | Eca-109 | Vitamin C could enhance the therapeutic properties of EGCG, activate caspase-3/9, induce apoptosis and regulate MAPK pathways. |
| Hou et al. | EGCG | SOD | KYSE150 | EGCG was stabilized by SOD, and the growth inhibitory effect of EGCG on EC cell was potentiated by downregulating the activity of EGFR or HER-2/neu. |
| Liu et al. | EGCG | ADM | Eca-109 | EGCG promoted the rate of apoptosis and reversal of multidrug resistance induced by ADM through reducing the ABCG2 expression of Eca109/ABCG2 cells. |