Green Tea and Its Extracts in Cancer Prevention and Treatment
Abstract
:1. Introduction
1.1. Cancer Initiation and Development
1.2. Current Concepts of Chemoprevention
1.3. Green Tea and Cancer
2. Methods
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- Lung cancer: (“green tea” OR GT) AND (lung OR bronchial) AND cancer (98 results);
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- Colorectal cancer: (“green tea” OR GT) AND (colon OR colorectal) AND cancer (369 results);
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- Breast cancer (“green tea” OR GT) AND (breast OR mammary) AND cancer (174 results);
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- Prostate cancer (“green tea” OR GT) AND prostat* AND cancer (198 results);
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- Esophageal cancer: (“green tea” OR GT) AND esophag* AND cancer (109 results);
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- Gastric cancer: (“green tea” OR GT) AND gastric AND cancer (229 results).
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- Inclusion criteria and outcome parameters were plausible;
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- The majority of the studies reported at least qualitatively identical results;
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- No major study with a comparable study layout reported a conflicting outcome;
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- Alternatively, the results were supported by additional evidence.
3. Results
3.1. Lung Cancer
3.1.1. Cohort Studies
3.1.2. Case-Control Studies
3.1.3. Additional Evidence
3.2. Colorectal Cancer
3.2.1. Cohort Studies
3.2.2. Case-Control Studies
3.2.3. CRC—Association Studies
3.2.4. CRC—Nonhuman Studies
3.2.5. CRC—Flavonoid-Based Studies
3.3. Breast Cancer
3.3.1. Epidemiological Evidence
3.3.2. Additional Evidence for Breast Cancer Chemoprevention—Nonhuman Studies
3.4. Prostate Cancer
3.4.1. Prostate Cancer—Epidemiological Evidence
3.4.2. Prostatic Cancer—Additional Evidence
3.4.3. Prostatic Cancer—Nonhuman Evidence
3.5. Esophageal Cancer
3.5.1. Evidence from Epidemiological Studies
3.5.2. Esophageal Cancer Prevention—Nonhuman Studies
3.6. Gastric Cancer
3.6.1. Gastric Cancer—Epidemiological Evidence
3.6.2. Gastric Carcinoma Prevention—Nonhuman Evidence
4. Risk—Benefit Analysis
5. Conclusions
6. Suggestions for Further Study
Author Contributions
Conflicts of Interest
References
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Source | Participants | Evaluation Criteria | Outcome | Comments | Statistical Evaluation |
---|---|---|---|---|---|
Cohort studies | |||||
Jin et al. 2013 ([67], in Chinese) | Ganyu county in Jiangsu, China | Interview with QST | GT drinking: OR 0.78 (CI 0.65–0.95) | Garlic intake, smoking, cooking oil, fried food | Scant information about cohort, no absolute numbers |
Li et al. 2008 [71] | 41,440 Japanese, 7 year follow up; 302 lung cancer cases; Ohsaki NHI cohort | QST based dietary panel | OR 1.14–1.18, “no protective effect” | Multiple confounders including smoking | Thorough adjustment, crude data calculation for men: ptrend < 0,01, adjusted p = 0.32 |
Iso and Kubota, 2007 [68] | Japan Collaborative Cohort study, 40,000–60,000 participants | Structured interviews for dietary habits | Lung cancer: n.s. | Food surveys, multiple food items calculated | Well documented study, no significant effects. |
Arts et al. 2001 [69] | 728 elderly men from Zutphen, Netherlands. 10 year follow up, 42 lung cancer cases | QST based dietary panel; calculation by tertiles | Total catechins: no effect, non tea catechins—borderline significance | low case number | For non-tea catechins: OR 0.66 (0.42–1.05); interpreted as “borderline significance”. |
Case control studies | |||||
Zablocka-Slowinska et al. 2015 ([83], in Polish) | 92 lung cancer cases, 157 controls; Lower Silesia, Poland | Dietary pattern evaluated by QST | Increased risk with low cereals, vegetables, fruits, GT | No separation of GT effects from confounders possible | No numbers given in abstract |
Xu and Cai, 2013 ([82], in Chi-nese) | 1225 cases, 1234 controls, China | Interview, QST | OR 0.495 (0.345–0.625) for nonsmokers, in smokers decrease for <3 cups/day. | Separate analysis for GT, black tea, oolong tea, other tea. | Largest effect for “other teas”. For smokers significant increase with >3 cups/day; no case numbers given. |
Bonner et al. 2005 [74] | 122 cases, 122 controls, Xuan Wei, China | OGG1-, GSTM1, AKR1C3 polymor-phism subgroups | Daily GT—nonsignificant reduction | no effect of genetic polymorphism | ptrend = 0.20 for dose |
Zhong et al. 2001 [77] | 649 lung cancer cases, 675 controls in Shanghai Cancer Registry; women only | Structured interview; tea intake in gram/year (1–500, 501–1500, >1500) | GT lowers lung cancer in nonsmoker significantly, in smokers n.s. | Confounder: education, occupation, smoking, al-cohol, dietary habits | Nonsmokers, >1500 g/year: 13 cases, OR 0.46 (0.22–0.96); smokers, >1500 g/day: 23 cases, OR 0.62 (0.21–1.82); all tea drinkers: 70 cases, OR 0.65 (CI 0.45–0.93). |
Tewes et al. 1990 [81] | 200 female lung cancer patients, 200 controls, Hong Kong Chinese | Structured interviews for dietary habits | GT increases risk of lung cancer significantly | Confounder: smoking, alcohol, fruit. | Adjusted OR 2.7 (1.16–6.80). |
Additional studies | |||||
Lin et al. 2012 [84] | 170 cases, 340 controls; Changwa county, Taiwan | QST for dietary habits, genotyping | OR 13.16 (2.96–58.51) for no tea vs. >1 cup/day; OR 3.34 (1.41–7.93) for >10 year tea drinking | GT modulates smoking induced lung cancer; interaction between smoking and IGF1, GT intake | For GT 3 cases in reference group for >1 cup/day, 7 cases for >10 year drinking. |
Laurie et al. 2005 [90] | Phase I clinical trial, 17 patients with advanced cancer; USA | 3 g/m2 GTE | No improvement; no drug toxicity |
Source | Participants | Evaluation Criteria | Outcome | Comments | Statistical Evaluation |
---|---|---|---|---|---|
Cohort studies | |||||
Dominianni et al. 2013 [100] | NCI study, 57,398 participants. 11.4 year follow up, 681 CRC cases; New York, USA | Food QST; 0, <1, 1, >1 cup tea per day | No effect by coffee or tea | Only “tea“ is mentioned, likely black tea consumption | 10–48 cases per subgroup; p = 0.175 for multivariate analysis |
Yang et al. 2011 [108] | 60,567 Chinese men, 40–74 year age, 5 year follow up, 243 CRC cases; Shanghai Mens Health Study | QST for beverage intake, type of tea; 0, <250, >250 g/month; 0, <25, >25 years | In nonsmokers ptrend = 0.009 with amount of tea, ptrend = 0,02 for duration. 2 g/day dry leaves—12% reduction | No association of GT in smokers | Small case numbers in nonsmokers (<250 g/month: 19 cases; >250 g/month, 10–<25 years, 18–>25 years: 10 cases each) |
Sinha et al. 2012 [103] | 489,706 participants, 10.5 year follow up, 2863 cases prox. colon, 1993 distal colon, 1874 rectum ca.; NIH-AARP study, USA | QST for beverage intake 0, <1 cups/month tea, 1–3/month, 1–6/week, >1/day | coffee—protective effect, tea –no association | Confounder: age, race, BMI, D.m., smoking, alcohol, activity, red meat, NSAID use | For green and black tea: ptrend > 0.5; OR for decaffeinated tea lower than for caffeinated |
Lee et al. 2007 [110] | 96,162 subjects, 1163 CRC cases (400 rectal ca., 763 colon ca.), JPHC study, Japan | QST for beverage intake; 0, <1, 1–2, 3–4, 5+ cups/day | Green tea—no effect in any group | Separate analysis for black and green tea. Confounder: smoking, alcohol, activity, red meat. | All ptrend values >0.50 for green tea |
Sun et al. 2007 [105] | Chinese Health Study, >60,000 pat.; 8.9 year follow up, 845 CRC cases; Singapore | In person interviews; black, green tea; none, monthly, weekly, daily tea drinking | GT increases risk in men OR 1.31 (CI 1.08–1.58), ptrend = 0.009; in women OR 0.89 (0.71–1.12), ptrend = 0.52; all OR 1.12 (0.97–1.29), ptrend = 0.08 | Black tea—no effect; stronger effect for Duke C and D CRC. Confounder: D.m., alcohol, smoking, coffee | No dose response for green and black tea; no GT effect for localized ca., significant increase for colon, colorectal ca. For duration: both increases and decreases |
Yang et al. 2007 [109] | Shanghai Womens Health Study, 69,710 Chinese women 40–74 year old, 6 year follow up, 256 CRC cases | Interviews at 0 and 3 years after begin of observation; 0, 1–4, 5+ g/day, 1–23 years, 24 year consumption | OR 0.63 (0.45–0.88) for tea drinker, positive dose response for amount and duration | No difference between colon and rectal cancer. Confounder: BMI, red meat, activity, vegetable/fruit intake | Small case numbers for high amount or long duration (10 cases each). Only significant data are presented |
Suzuki et al. 2005 [111] | 26,311 Japanese, ~8 year follow up, 305 colon ca., 211 rectum ca. cases. Miyagi prefecture, Japan | QST for GT consumption; 0, rare, 1–2, 3+ cups/day | No association between colon or rectum Ca and GT | Confounder: alcohol, smoking, age, BMI | GT and rectum ca., cohort 1: ptrend = 0.4; cohort 2: 0.02 |
Terry and Wolk, 2001 [96] | 61,463 Swedish women, 9.6 year follow up; 460 CRC (291 colon, 159 rectal, 10 both); Sweden | Cohort study | No association with GT for total cancers, slight positive correlation for rectum cancer in women | ||
Nakamura et al. 2015 [106] | 307 patients with endoscopic CR adenoma, 4 year follow up, Japan | Diet survey for beverages; 0, 1–3, 4× cups/day | >3 Cups of coffee—reduced risk, tea—no effect. Decrease in proximal tumors, increase in distal tumors | Older patients; no general population | |
Shimizu et al. 2008 [107] | 136 patients with colon adenoma removal, 1 year follow up, Japan. Intervention study | 71 pat. with 1.5 g/day GTE intake, 65 controls; no change in tea drinking | Less, and smaller metachronous polyps with GTE. OR 0.49 (0.24–0.99) | Follow up in 65 and 60 patients; loss to follow up in 8 patients | |
Case control studies | |||||
Budhathoki et al. 2015 [112] | 738 patients with colorectal adenoma, 697 controls, Japan | QST for coffee and GT intake | No effect of GT intake on adenoma recurrence, CRC development | Confounder: coffee (significant reduction), BMI, activity, smoking, alcohol, D.m., NSAID, red meat | For GT, 1st vs. 4th quartile: OR 1.50 (0.97–2.31), ptrend = 0.20; for coffee: OR 0.67 (CI 0.48–0.93), ptrend = 0.02. |
Green et al. 2014 [113] | Western Australia Bowel Health Study; 854 histologically confirmed cases, 948 controls | QST for beverages; hot black tea, hot green tea, hot herbal tea; 0, <1, 1+ cups/day | ptrend for green tea 0.920, for black tea 0.196 (increase), herbal tea 0.149 (decrease) | Confounder: age, alcohol, activity, smoking, D.m., socioeconomic status, race, BMI | For tea variants: OR varying between 0.69 and 1.34; 7 OR values >1.0, 4 OR values <1.0 |
Li et al. 2011 [114] | 540 CRC cases, 540 hospital controls, population controls; China | QST interviews; never, <6 times/week, more; 0, <10, >10 years | OR for >1 kg tea/year: 0.52 (0.29–0.94; hospital controls), 0.45 (0.25–0.82, population controls) | no difference between hospital and population controls | Low number of cases (10–13 cases per group) |
Ilyasova et al. 2003 [101] | 630 colon cancer cases, 1040 controls, North Carolina, USA | Case control study; 0, <2, 2+ cups/day | No race dependent, no GT-dependent change in colon cancer incidence | African-Americans, White Americans | <2 cups/day: OR 0.9 (0.7–1.2); 2+ cups/d: OR 1.3 (0.9–1.8) |
Cerhan et al. 2001 [99] | 685 colon ca., 635 rectum ca. cancers, 2434 controls, 40–85 years; Iowa USA. | Case control study in cancer registry; mailed QST for food and beverages | No effect for either colon or rectum cancer from tea intake | Confounder: age, sex, education, physical activity, smoking history, coffee, fiber, fruits, vegetables | No significant differences, lowest ptrend value for current smokers |
Zhang et al. 2002 [115] | 102 CRC patients, 99 controls, Hebei, China | Interviews, 20 year food intake inventory; groups: never, 1–3, 4–6/week, daily, 2+ daily | Milk is protective (OR 0.38); in women tea is protective (OR 0.11–0.25) | Analysis for different duration of tea drinking, no effect for men | Men, current drinker: OR 0.98 (0.44–2.19); women: OR 0.11 (0.04–0.30) |
Hartman et al. 1998 [93] | 111 colon ca., 83 rectal ca. cases, 9.0 y follow up; Finland | <1, >1 cup GT/day, colon ca., rectal ca.; increase in rectal ca. | For colon ca., <1 cup/day: OR 1.40 (0.84–2.33); 1+ cups/d: 2.09 (1.34–3.26) | Confounder: coffee | |
Ji et al. 1997 [116] | 931 colon ca. cases, 884 rectum ca. cases, 1552 controls, from 1990–1993. Shanghai, China | Consumption categories 200 (women) or 300 (men) g/month GT | Men and women: protective for rectal ca., not for colon ca. | In women larger effects than in men. Confounder: alcohol, smoking, BMI, activity | Men, rectal ca.: OR 0.72 (0.46–1.13), ptrend 0.04; women, rectal ca.: OR 0.57 (0.34–0.97), ptrend = 0.001 |
Kono et al. 1991 [117] | 80 patients with adenomas, 1148 controls, Japanese army members | Green tea—tendency to lesser adeno-mas | Confounder: activity, coffee, rice, smoking, alcohol, military rank | GT: ptrend 0.22; highest intake group, adenomas: OR 0.69 |
Source | Participants | Evaluation Criteria | Outcome | Comments | Statistical Evaluation |
---|---|---|---|---|---|
Jing et al. 2014 [125] | 545 CRC cases, 522 controls, Jiashan county, China | Histologically confirmed CRC, PTEN SNPs, food QST | Variable correlation of CRC with SNPs, decreased risk in tea drinkers | Decreased risk in married participants, non-farmers | For tea drinkers: p = 0.038; non-farmers: 0.042; married; 0.009 |
Dik et al. 2014 [92] | EPIC, 477,071 participants, 11 year follow up, 1252 cases of CRC, 2175 controls; Europe | Cohort study, beverage con-sumption by QST | Coffee or tea—no effect, CYP1A2, NAT—no effect | No specification of tea, likely black tea | No significant effects |
Liu et al. 2013 [122] | Case control study, 506 CRC cases, 1141 controls, China | never tea drinking: OR 1.755, CI 1.319–2.334 | Designed to investigate CAS9 and CAS10 polymorphisms | No significant correlations | |
Yu et al. 2012 [123] | 300 CRC patients,296 controls, Hangzhou China | SNP in PLA2G4A gene, tea drinking as modifier | Tea reduces CRC—OR 0.61 (0.39–0.97) | Similar effects on colon and rectal cancer | Some SNP modify GT effects |
Wu et al. 2011 [124] | 421 CRC patients, 845 controls; China | XPC complementation analysis, GT as modifier | OR 2.3 (1.7–3.3) for never tea drinker | Stratified for risk alleles, no specific information on other subgroups | No effect of XPC complementation |
Flavonoid studies | |||||
Zamora-Ros et al. 2013 [97] | 424 incidental colon ca. cases, 401 controls; Spain | Food QST from interviews, flavonoid content from da-tabase; quartile evaluation | Tea or coffee: no indepen-dent parameters for CRC, colon and rectal cancer | In separate calculation for cancer sites—result unchanged | For total flavonoids, 1st vs. 4th quartile: OR 0.59 (0.34–0.99), ptrend = 0.03 |
Kyle et al. 2010 [94] | 264 cases, 408 controls; UK | QST, flavonoids calculated from database | CRC decreased with non-tea flavonols, increased with total flavonols | For quercetin reduced colon ca., not rectum ca. after stratification | For colon ca. and non-tea flavonol intake: OR 0.5 (0.3–0.8), ptrend 0.01; increase for total flavonols: OR 1.3 (0.7–2.4), ptrend = 0.01 |
Wang et al. 2009 [120] | Womens Health study, China, 38,408 women >45 years, 3,234 CRC cases | Prospective cohort study; flavonoid containing food from QST and database | No correlation of flavonoids with CRC: OR 1.01 | No association for breast, lung, endometrial, ovarian cancer. Sources: tea, apples, broccoli, onion, tofu | Total flavonoids: ptrend (multivariate adjust-ted) = 0.47, with increased risk for flavonoids (most OR > 1) |
Bobe et al. 2008 [98] | Polyp prevention trial, adenoma recurrence, 8 centers in USA | Food intake, flavonoid intake calculated by databases; cohort study | Flavonols reduced recurrence of large adenomas | Similar effects for isoflavonoids, kaempferol, genistein, formo-nonetin | For flavonols and advanced recurrence: OR 0.24 (0.11–0.53), ptrend = 0.0006, n = 13; linear increase with quartiles |
Yuan et al. 2007 [126] | 18,244 Chinese men, 16 y follow up. 162 CRC cases, 806 controls; Shanghai, China | Cohort study with nested case control study | Protective effect for colon ca. by high urinary EGC amount | Identical results for 4-Me-EGC as metabolite, no association with EC | 1st vs. 4th quartile, for EGC: OR 0.40 (0.19–0.83), ptrend 0.02; for 4-Me-EGC: OR 0.41 (0.20–0.84), ptend 0.00 |
Rossi et al. 2006 [95] | 1,225 colon cancers, 728 rectal cancers, 4,154 hospital controls; Italy | QST, flavonoid calculation from food databases | Significant reduction for isoflavones, flavones, fla-vonols, anthocyanidins | No differences between colon and rectum, male and female participants | ptrend < 0.01 for flavonoids |
Michels et al. 2005 [102] | USA, Nurses Health Study, Health Professional Follow up Study, 1,438 CRC cases | QST for tea and coffee intake, other factors | No effect of tea on CRC incidence | 2 Mio patient years total follow up; coffee—no effect; decaffeinated coffee—significant reduction (OR 0.48) | CRC, men: ptrend 0.32 (increase); women: 0.43 (decrease); colon ca. in men: 0.40 (increase); women: 0.18 (increase); rectal ca., men; 0.59 (mixed); women: 0.27 (decrease) |
Wang et al. 2013 [127] | 816 cases, 815 controls, Fukuoka CRC Study, Japan | Interview, polyphenol assessment for 148 food items by food algorithm; quintile analysis | No correlation between polyphenols and CRC in subgroups and location analysis | Confounder: smoking, alcohol, activity, “others”. Suggestion of decrease with coffee intake | For tea polyphenols and CRC: ptrend 0.08 (increase), coffee polyphenols: ptrend 0.07 (decrease); other polyphenols: ptrend 0.19 (increase) |
Source | Participants | Evaluation Criteria | Outcome | Comments | Statistical Analysis |
---|---|---|---|---|---|
Cohort studies | |||||
Iwasaki et al. 2010 [150] | Japanese Public Health Study; 45,000 participants, 13.6 year follow up, 581 plus 350 cases | QST based beverage intake; 0, <1/week, 1–2/day, 5+/day | No effect of GT intake, no difference between tea types (Ban-cha/Genmaicha, Sencha, Oolong, black). | Confounder: hormones, BMI, smoking, alcohol, activity, coffee, fish, meat | Total GT intake: ptrend 0.60 (increase), Sen-cha: 0.48 (mixed), Bancha: 0.41 (mixed); Oolong: 0.40 (increase), black tea: 0.80 (mixed) |
Dai et al. 2010 [152] | Shanghais Womens Health Study; 74,942 women; 6–9 year follow up | QST based dietary inter-view; 0, <1.7, <3,3, <5.0, >5.0 g/day tea leaves | Decreased premenopausal, in-creased postmenopausal risk for breast cancer in tea drinker | Confounder smoking, alcohol, activity, BMI, ginseng, energy, red meat | Increase with dose: ptrend 0.47; preme-nopausal breast cancer: with dose 0.33 (decrease), with age 0.12 decrease), with duration 0.12 (decrease); postmenopausal: with dose 0.11 (increase), with age 0.01 (increase), with duration 0.02 (increase) |
Suzuki et al. 2004 [151] | 35,004 Japanese women, 222 cancer cases | Pooled analysis of 2 sub-groups; <1, 1–2, 3–4, 5+ cups/day | No effect of GT intake on breast cancer | Confounder: age, smoking, alcohol, BMI, coffee | In multivariate analysis: ptrend 0.51 in cohort 1, 0.95 in cohort 2 |
Case control studies | |||||
Li et al. 2016 [173] | 756 cancer patients, 789 controls, China | Tea consumption, ER status, menopause stage | Protective effect of GT in premeno-pausal women, increased risk in postmenopausal women | Confounder: BMI, hormones, smoking, alcohol, ER status. Low case numbers in subgroups | Postmenopausal women—GT: OR 1.82 (1.00–1.96); postmenopausal all tea: OR 1.40 (1.00–1.96). For ER− cases higher OR than in ER+ cases |
Iwasaki et al. 2014 [157] | 369 patient/control pairs, Nagano, Japan | Dietary QST, SNP genotyping | No correlation for GT and BrCa | No interaction between SNP and GT | >120 mL tea/day: OR 1.27 (CI 0.75–2.14) |
Mizoo et al. 2013 [155] | 472 patients, 464 controls, Japan | Dietary QST, SNP analysis | GT phenotype decreases BrCa risk | Confounder: BMI, smoking, meat, vegetables, coffee, exer-cise, education | No interaction between SNP and GT |
Wang et al. 2013 [174] | 157 cases, 314 controls, Taiwan | Stress and lifestyle QST | Interactive risk modification by stress and lifestyle factors | Confounder: stress, alcohol, smoking, exercise, meat, sea-food | For <100 mL/day GT: OR 2.47 (1.40–4.38) |
Li et al. 2011 [175] | 540 cases, hospital and outpatient controls, China | Demographics, lifestyle QST | GT intake reduces breast cancer risk | Similar reductions for CRC, leukemia | For > 1 kg/year GT OR 0.06 (0.01–0.61) |
Iwasaki et al. 2010a [157] | 144 cases, 288 controls, 10 year follow up; JPHS | Plasma catechin levels, nested case control study | No protective effect of flavonoids | Confounder: activity, smoking, alcohol, diet, BMI | OR: EGC 0.90 (0.42–1.96); EC 0.95 (0.43–2.08), EGCG 1.21 (0.52–2.80), ECG 1.75 (0.81–3.78) |
Shrubsole et al. 2009 [176] | 3454 cases, 3474 controls, Shanghai. Study performed for COMT genotype effect | QST based dietary inter-view; 0, <50, 50–100, 100–225, >225 g/month; 0, <6, 6–14, 14–23, >23 years | Protective in regular drinkers, not genotype dependent | Group differences in BMI, age at menarche, hormone use, passive smoking and GT intake | Regular tea drinkers: OR 0.88 (0.79–0.98); ptrend with dose 0.09 (decrease), with duration 0.09 (decrease), with begin 0.04 (decrease). Protection mainly in pre-menopausal cases |
Zhang et al. 2009 [177] | 1009 cancer cases, 1009 controls, southeast China, 20–87 year old participants | QST based dietary inter-view, GT and mushroom intake (< or >7 g/day) | GT increased protective effect of mushrooms | Confounder: BMI, rural residency, activity, hormones, alcohol, smoking | For mushroom and breast cancer, GT plus mushroom intake and breast cancer all values are “significant” |
Inoue et al. 2008 [178] | 380 cases, 662 controls, Singapore Chinese Women Health; for genotype differences in folate deprived individuals | Interview for lifestyle habits; 2 MTHF genotypes, TYMS deletions | GT decreased breast cancer incidence at low folate, MTHRF, TYMS major genotypes (not significant) | Confounder: education, BMI, hormones, smoking, coffee, folate intake | Very low case numbers in some groups; for 0–1 variants OR 0.66 (0.45–0.98) |
Zhang et al. 2007 [179] | 1009 cancer cases, 1009 controls, southeast China, 20–87 years old participants (see [177]) | QST based dietary inter-view, green tea variants, duration, amount of tea, many new batches | GT for a long period (>20 year), large amounts per day (2+ cups/day) and year (750 g/year), freshly brewed (2 new batches/day) | Tea drinkers are urban, educated, consume coffee, alcohol, soy, vegetables, fruit | >20 y GT: OR 0.66 (0.56–0.78); 2+ batches/day: 0.59 (0.41–0.84); 2+ cups/day 0.57 (0.47–0.69); >750 g/year 0.61 (0.48–0.78). For amount/year and batches/day positive dose response |
Yuan et al. 2005 [153] | 297 cases, 665 controls, Singapore Chinese Women Health | QST with categories for food survey; genotyping | All women: no effect; ACE ge-notype TT and/or DD: increased risk | Confounder: education, BMI, smoking, alcohol, nr of births, hormones | High ACE activity group and GT: OR 0.29 (0.10–0.79), 8 cases; ACE + black tea: OR 1.20 (0.40–3.59), 11 cases |
Wu et al. 2003 [154] | 589 cases, 563 controls, Chinese, Japanese, Filipino patients, LA county, USA | In person interviews for food assessment; COMT genotyping | GT and/or black tea plus low acti-vity COMT allele decreased risk; no effects for other groups | Confounder: race, coffee, smoking, alcohol, soy intake, BMI, activity | Low activity COMT plus black tea: OR 0.44 (0.25–0.78); plus green tea: OR 0.42 (0.22–0.80); both teas: OR 0.56 (0.32–0.98) |
Wu et al. 2003 [180] | 501 cases, 594 controls, Chinese, Japanese, Filipino patients, LA county USA (see also [154]) | QST based interviews for dietary habits, gynecological history, others | Dose dependent protection, OR 0.53 for >85,7 mL/day GT (CI 0.35–0.78) | Confounder: race, coffee, smoking, alcohol, soy intake, BMI, activity | >86 mL/day GT: OR 0.61 (0.40–0.93), ptrend 0.01. For black tea drinkers OR > 1, for all subgroups OR < 1 |
Source | Participants | Evaluation Criteria | Outcome | Comments | Statistical Analysis |
---|---|---|---|---|---|
Additional studies | |||||
Wu et al. 2008 [161] | 3315 women from Singapore | mammographic density (MD) as biomarker | Ca reduced with decreased MD (p = 0.002) | Black tea: no effect; soy intake: association only in very high intake, postmenopausal women | |
Wu et al. 2005 [159] | 130 women from Singapore Chinese Women Health | Plasma estrone levels | GT drinkers had lower plasma es-trone (p = 0.03), black tea drinkers higher estrone values | 27 regular tea drinkers, 84 irregular drinkers | |
Nagata et al. 1998 [158] | 50 premenopausal Japanese women | QST for dietary habits, coffee, tea; estradiol on cycle days 11, 22 | GT lowered estradiol on cycle day 11 | ||
Crew et al. 2015 [27] | Breast cancer I–III received 400 mg (10), 600 mg (11) or 800 mg polyphenon E (3 pat.) | Ancillary study to phase IB polyphenon study | Polyphenon E reduced HDGF, not vEGF, compared to placebo | Biomarker study, no clinical effect measured | |
Inoue et al. 2001 [164] | 1160 patients with breast cancer treated, 133 cases of recurrence in 5264 person years | QST for lifestyle factors | Decrease in breast cancer recurrence with GT >3 cups/d, expecially in early stages | Histological confirmation | All patients: OR 0.69 (0.47–1.00); stage I cancer at initial diagnosis: OR 0.43 (0.22–0.84) |
Nakachi et al. 1998 [163] | 117 cases stage I, 273 stage II, 82 stage III; no controls | QST for dietary habits, other factors | GT associated with decreased recurrence after 7 years | No improvement in prognosis in stage III | |
Other studies | |||||
Crew et al. 2012 [162] | For details see [27] | Mammography, biopsy | MTD for Polyphenon E 2 × 600 mg/day | Toxicity observed at all concentrations | |
Samavat et al. 2015 [165] | MGTT, healthy postmenopausal women; 12 month follow up | Prospective study, bio-marker assays: mammo-graphy, sex hormones, interleukins | No results yet, description of study rationale |
Source | Participants | Evaluation Criteria | Outcome | Comments | Statistical Evaluation |
---|---|---|---|---|---|
Cohort studies | |||||
Montague et al. 2012 [191] | 27,293 Singapore Chinese men, 11.2 year follow up, 298 cases | QST for dietary habits; none, monthly, weekly, daily 1 or 2+ cups | GT—no effect (increase not significant) | Confounder: education, activity, smoking, BMI, alcohol | GT: ptrend 0.6 (increase); black tea: ptrend < 0.01 (increase) |
Li et al. 2010 [194] | 20,222 Japanese adult men, Ohsaki cohort. 9 year follow up, 206 cases | QST for dietary habits, green tea intake yes/no | Additive effect of GT and citrus fruit consumption, independent effect opf citrus fruit intake | Confounder: smoking, alcohol, activity, occupation | |
Kurahashi et al. 2008 [193] | 49,920 Japanese men JPHC study group, 11 and 14 year follow up, 404 cases | QST at begin of study, GT categories <1, 1–2, 3–4, 5+ cups/day | GT no protection, tendency for decrease in advanced stages | Confounder: age. BMI, smo-king, alcohol, marital state, coffee, soy food | For advanced prostate ca., comparison of >5 vs. <1 cup/day: OR 0.52 (0.28–0.96), p = 0.01 |
Kikuchi et al. 2006 [192] | 19,561 Japanese men, Ohsaki study; 110 cases | QST for dietary habits, GT intake never, <1, 1–2, 3–4, 5+ cups/day | GT no effect on prostate cancer | Confounder: smoking, alco-hol, BMI, calorie intake, physical activity, meat, fish, coffee, black tea consump-tion | For never vs. >5 cups/d: OR 0.85 (0.50–1.43), p = 0.81. 18–32 cases per group |
Case control studies | |||||
Li et al. 2014 [175] | 250 prostate ca. cases, 500 controls, Shanghai | QST for dietary habits, GT intake yes/no | Total tea consumption, GT intake are protective, black tea not | Confounder: education, occupation, BMI, smoking, alcohol, activity, red meat, fish, soy products, personality | Total tea consumption: OR 0.63 (0.45–0.87), p = 0.005, 160 cases; green tea: OR 0.66 (0.48–0.90), p = 0.008, 144 cases; black tea: OR 0.75 (0.33–1.73) p = 0,50, 8 cases |
Wu et al. 2009a [in Chinese] [195] | 85 cases, 82 controls | Life style factors, dietary habits; blood samples for polymorphisms | GT, fruit intake are protective | Confounder: age, puberty, intercourse frequency, meat. Fruit intake also positive | GT: OR 0.52 (0.28–0.96); fruit intake: OR 0.25 (0.08–0.75). CYP17 A1/A1 and A2/A2 genotypes have increased risks |
Jian et al. 2007 [188] | 130 cases, 274 controls, Hangshou, China | QST for dietary habits, esp. lycopene (<1609, <3081, <4917, >4917 µg/d), GT (0, <3, <5, 5+ g/d) | Significant protection in all tea dose groups, all lycopene group, all combination groups | Confounder: BMI, resi-dency, education, marital status, fat intake, fruits | Highest dose GT: OR 0.13 (0.05–0.32), highest dose lycopene: OR 0.17 (0.08–0.39); combined: OR 0.03 (0.01–0.16); low case numbers in high intake groups (9, 13, 3 cases) |
Jian et al. 2004 [196] | 130 cases. 274 controls (see [188]) | QST interviews for dietary habits, GT dose in cups/day (<1, 1–3, >3) | GT protects from prostate cancer | BMI, residency, education, marital status, vasectomy | GT drinker: OR 0.28 (0.17–0.47); increasing effect with tea amount and duration of drinking |
Source | Participants | Evaluation Criteria | Outcome | Comments | Statistical Analysis |
---|---|---|---|---|---|
Additional studies | |||||
Erdrich et al. 2015 [212] | 20 men with prostate cancer. 3 month intervention with Mediterranean diet; New Zealand | PSA, CRP, DNA damage; QST for dietary habits | DNA damage is lower in patients with GT (p = 0.002) | Confounder: diet, folate, vitamin C intake, legumen | Significant reduction for adherence to diet, folate, vitamin C intake, legumen |
Gontero et al. 2015 [202] | 60 patients with PIN/ASAP; 6 month intervention study; Italy | 35 mg lycopene + 55 µg selenium + 600 mg GTC | PCa increased in intervention group | No quantitative calculation | |
Kumar et al. 2015 [201] | 97 men, high grade PIN/ASAP; 1 year intervention; USA | Polyphenon E, 400 mg EGCG/d vs. placebo | Only for combined endpoints—ca. + ASAP growth reduction | No difference in adverse drug effects | Prostate ca.: no difference; combined endpoints prostate ca + ASAP: p = 0.024 |
Henning et al. 2015 [213] | Open label phase II trial, 93 cases, USA | 6 cups GT, BT or water, prior to prostatectomy | GT decreased cell activation (NFkB), DNA damage (8OHG-excretion) | Black tea had no effect | NFkB decrease: p = 0.013, urinary 8OHG-excretion: p = 0.03 |
Thomas et al. 2014 [199] | 199 cases with localized prostate cancer | Mix of pomegranate, GT, broccoli, turmeric | Short term decrease in PSA | No data on clinical benefit | |
Nguyen et al. 2012 [200] | 50 prostate cancer cases, 3–6 weeks before surgery | 800 mg/day Polyphenon E vs. placebo | PSA n.s. reduced | ||
Bettuzzi et al. 2006 [214] | 60 PIN cases, 1 year follow up | 600 mg GTC, proof of principle study | 1 case in intervention group, 3 cases in control group | ||
Choan et al. 2005 [197] | 19 patients with hormone refractory cancer | 500 mg GTE | No effects observed | 4 drop outs, all patients had progression after 4 month |
Study | Cohort | Observation | Outcome | Comments | Statistical analysis |
---|---|---|---|---|---|
Cohort studies | |||||
Ishikawa et al. 2006 [228] | 9008 men (cohort 1), 17,715 men (cohort 2), Japan | QST for beverage consump-tion; GT (0, 1–2, 3–4, 5+ cups/day), black tea yes/no | No effect on esophageal cancer in either cohort, with tendency to higher incidence | Smoking, alcohol esophageal carcinogens | Green tea: OR 1.67 (0.89–3.16), ptrend = 0.04. For non-smoking, non-alcohol GT drinker: OR 1.65 (0.29–9.19), n = 4. |
Prospective interventional study | |||||
Wang et al. 2002 (in Chinese) [236] | 100 histologically confirmed precancerous lesions in each study group; 578 precancerous lesions in total; China | Calcium, decaffeinated GT or placebo for 11 month; 11 year follow up | No effect of decaffeinated GT on tumor progression | No effect of treatment with Ca or DGT | No statistical calculation. |
Case-control studies | |||||
Wang et al. 1999 (in Chinese) [230] | 209 UADT cases, 68 esophageal cancers, 69 cardia cancers, 72 gastric cancers; China | Observational study, no in-formation about reference group | Increase with pickled vegetables | Scant data | Green tea: OR 0.20; fruit: OR 0,51 |
Oze et al. 2014 [231] | 961 UADT, 2883 controls, Aichi, Japan | QST for coffee, green tea consumption, life style factors | Esophageal cancer—no effect; UADT, oral, pharyngeal, larynx ca.–increase | Confounder: age, smoking, alcohol, BMI, food, occupation, rice consumption | >3 cups GT and UADT cancer: OR 1.39 (1.13–1.70); esophageal cancer: OR 1.31 (0.95–1.814); oral, pharynx, larynx cancer: OR 1.47 (1.12–1.93) |
Chen et al. 2011 [232] | 150 cases with esophageal cancer, 300 controls, South China | QST for life style factors, low temp. vs. high temp. tea drinkers | GT has no effect, heat is carcinogenic | Additive effects effects with smoking, alcohol | For >250 g tea/month: <60 °C: OR 0.79 (0.29–0.97); >70 °C: OR 1.25 (0.61–1.69) |
Wu et al. 2009 [233] | 1520 cases, 3879 controls in high risk (Dafeng), low risk (Ganyu) area in China | QST for beverage intake, low temp. vs. high temp. tea drinkers | Hot tea is carcinogenic, for GT no consistent effect | Confounder: age, education, BMI, smoking, alcohol. No information on temperature estimate | Drinking hot tea: OR 1.9 (1.2–2.9) in high incidence area, and 3.1 (2.2–4.3) in low incidence area |
Wang et al. 2007 [235] | 355 histologically confirmed cases, 408 controls, Jiangsu, China | In person interviews, GT yes/no; duration 0, <30, >30 years | No effect of GT in men when controlled for confounders | Positive ass. for heat, smoking, alcohol, old stocked rice, chili, salty food | Men, GT drinker: OR 1.368 (0.948–1.975), p = 0.094; women: 3 cases |
Mu et al. 2003 (in Chinese) [237,238] | 628 cancer cases; Taixing and Jiangsu counties, China | No information given in abstracts | GT decreases esophageal cancer incidence in smokers, drinkers | Only scant details, no information on statistical evaluation | |
Gao et al. 1994 [234] | 1016 cancer cases, 902 in-terviews, 734 histologically confirmed; Shanghai, China | In person interviews for life style factors, incl. dietary habits. GT in 1–199; 200+ g/month tea | In women significant de-crease even in smokers, alcohol drinkers; in men effects n.s. | Confounder: alcohol, heat, smoking | All male groups: n.s.; women, GT: OR 0.34 (0.17–0.69), p >0.01; women, nonsmoker: OR 0.17 (0.05–0.58), p < 0.001; for women low case numbers |
Source | Participants | Evaluation Criteria | Outcome | Comments | Statistical Analysis |
---|---|---|---|---|---|
Inoue et al. 2009 [242] | 3577 gastric cancer cases, 219,080 subjects, cohort study. Reanalysis of study data from six pooled studies | Mostly QST based beverage intake, confounders; GT consumption 0, <1, 1–2, 3–4, 5+ cups/day | Proximal gastric cancer: no effect | Cancer in women: OR 0.79 (0.65–0.96); distal stomach in women: OR 0.70 (0.50–0.96); proximal stomach women: no cases | |
Sasazuki et al. 2008 [245] | 494 cancer cases, 36,745 cohort size, 14 year observation; nested study | QST for beverage intake, lifestyle factors; plasma level of GT metabolites | Men EGC sign. increased gastric cancer; women: ECG decreased gastric cancer | Confounder: smoking, alcohol, salt intake, fish, vegetables, BMI | In men all flavonoids increased risk; EGC > 78 ng/mL: OR 2.06 (1.23–3.45), ptrend = 0.003. In women all flavonoids decreased, ECG > 10 ng/mL: OR 0.25 (0.08–0.73), ptrend 0.02 (10 cases) |
Sauvaget et al. 2005 [246] | Gastric cancer in 36,576 atomic bomb survivors | QST with mail survey; follow up study | No association with GT, soy products, fruit, vegetables | Significant cancer increase at 10 Gy | GT 5+ cups/day vs. <1: OR 1.06 (0.89–1.25), ptrend > 0.50 |
Sasasuki et al. 2004 [244] | Prospective cohort study, 892 gastric cancer cases, 72,943 participants | Registry study 1990 (cohort I), 1993 (cohort II); GT intake <1, 1–2, 3–4, 5+ cups/day | GT: no effect in men; women protected at high doses for distal tumors | Confounder: smoking, alcohol, dietary habits, salt, coffee | Women, distal: OR 0.51 (0.3–0.86), ptrend 0.01; men, distal: OR 0.92 (0.69–1.22), ptrend 0.37 |
Koizumi et al. 2003 [243] | 31,345 Subjects >40 years since 1984, 47,605 people >40 years since 1990. | QST for GT consumption (GT intake <1, 1–2, 3–4, 5+ cups/day) | No influence of tea on gastric cancer incidence, total and subgroups | Confounder: smoking, alcohol, di-etary habits, salt, coffee. Subgroups by histology and anatomy | Multivariate analysis; OR 1.06 (0.86–1.30), ptrend 0.61 |
Tsubono et al. 2001 [247] | 26,311 residents, Miyagi, Japan, 1984–1992 419 gastric cancer cases | QST for GT consumption (GT intake <1, 1–2, 3–4, 5+ cups/day) | No association for men and women, tendency to cancer increase | Peptic ulcer, smoking, alcohol, dietary habits | Highest group: OR 1.4 (1.0–1.9), ptrend 0.07; men: OR 1.5 (1.0–2.3), ptrend 0.05; women: OR 1.1 (0.6–2.0), ptrend 0.86 |
Case control studies | |||||
Mao et al. 2011 [257] | 200 gastric cancer patients, 200 controls | In person interviews for beverages, hot or cold tea | Hot tea increases cancer risk, temperature, concentration dependent | Other factors smoking, drinking; protective SES | All patients: OR 2.59 (1.02–6.32), hot tea: OR 1.82 (1.03–3.52), very hot tea: 3.07 (1.78–7.36) |
Deandrea et al. 2010 [258] | 266 gastric cancer, 533 controls in Harbin, China | Tea temperature | Warm tea is protective, hot tea not. | Luke warm GT: OR 0.19 (0.07–0.46), hot tea: OR 1.27 (0.85–1.90) | |
Mu et al. 2003, (in Chinese) [237,238] | Population based study, 206 gastric cancer cases, 415 controls, Jiangsu China | Subgroups by amount of tea per month | Cancer incidence reduction of 60% at high amounts (>250 g/month) | See also esophageal cancer study, liver cancer study | In one paper (2003) 60% reduction, in the other paper 81% reduction for alcohol drinkers, 16% for smokers. |
Ye et al.; 1998 [255,256] | 272 cases, 544 controls in high risk area Fujian, China | Face to face interviews, tea consumption and lifestyle factors. | Gastric caner risk decreases with GT | Alcohol, smoking, dietary habits, salt, fruit, fish. | GT <0,75 kg/year versus >0.75 kg/y: OR 1.72 (1.26–2.36) |
Wang et al.; 1999 (in Chinese) [230] | 131 gastric cancer cases, case control study, Jiangsu, China | GT reduces gastric cancer | Study included esophageal and gastric cancer | For GT intake: OR 0,28 | |
Kono et al.; 1988 [254] | 139 gastric cancer cases, 278 area controls, 2574 hospital controls, Kyushu | QST for tea intake, lifestyle factors | Protective effect of >10 cups of tea/day | Confounder other food types, smoking, alcohol | >10 cups/day: OR 0.6 (8 cases), χ2 0.89 |
Tumor type | China, Cohort | China, Case Control | East Asia, Cohort | East Asia, Case Control | Rest of World, Cohort | Rest of World, Case Control |
---|---|---|---|---|---|---|
Lung cancer | 1; positive | 3; 2 positive, 1 negative | 2; no effect | 0 | 1; no effect | 2; 1 no effect, 1 negative |
Colorectal cancer | 2; 2 positive | 3; 3 positive | 5; 1 positive, 3 no effect, 1 negative | 2; 1 positive, 1 no effect | 3; 3 no effect | 4; 3 no effect, 1 negative |
Breast cancer | 1; partially positive | 6; 6 positive | 2; no effect | 5; 2 positive, 3 no effect | 0 | 2; 2 positive |
Prostate cancer | 0 | 4; 4 positive | 3; no effect | 0 | 0 | 0 |
Esophageal cancer | 2; 1 positive, 1 no effect a | 5; 3 positive b, 2 negative | 1; no effect | 1; 1 negative | 0 | 0 |
Gastric cancer | 0 | 5; 4 positive d 1 negative | 5; 3 positive c 2 no effect | 1; 1 positive | 0 | 0 |
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Schulze, J.; Melzer, L.; Smith, L.; Teschke, R. Green Tea and Its Extracts in Cancer Prevention and Treatment. Beverages 2017, 3, 17. https://doi.org/10.3390/beverages3010017
Schulze J, Melzer L, Smith L, Teschke R. Green Tea and Its Extracts in Cancer Prevention and Treatment. Beverages. 2017; 3(1):17. https://doi.org/10.3390/beverages3010017
Chicago/Turabian StyleSchulze, Johannes, Lena Melzer, Lisa Smith, and Rolf Teschke. 2017. "Green Tea and Its Extracts in Cancer Prevention and Treatment" Beverages 3, no. 1: 17. https://doi.org/10.3390/beverages3010017
APA StyleSchulze, J., Melzer, L., Smith, L., & Teschke, R. (2017). Green Tea and Its Extracts in Cancer Prevention and Treatment. Beverages, 3(1), 17. https://doi.org/10.3390/beverages3010017