Skip to main content

Advertisement

Log in

Tea consumption and leukemia risk: a meta-analysis

  • Research Article
  • Published:
Tumor Biology

Abstract

Epidemiologic findings concerning the association between tea consumption and leukemia risk yielded mixed results. We aimed to investigate the association by performing a meta-analysis of all available studies. One cohort studies and six case-control studies with 1,019 cases were identified using PubMed, Web of Science, and EMBASE. We computed summary relative risks (RRs) and 95 % confidence intervals (CIs) using random effect model applied to the relative risk associated with ever, moderate, or highest drinkers vs. non/lowest drinkers. Subgroup analyses were performed based on country (China and USA). Compared with non/lowest drinkers, the combined RR for ever drinkers was 0.76 (95 % CI = 0.65–0.89). In subgroup analyses, significant inverse associations were found for both China and USA studies. The summary RR was 0.57 (95 % CI = 0.41–0.78) for highest drinkers. Same results were only found in China studies. No significant associations were found for moderate drinkers in overall analysis or in subgroup analyses. There was some evidence of publication bias. In conclusion, this meta-analysis suggests a significant inverse association of high tea consumption and leukemia risk. Results should be interpreted cautiously given the potential publication bias.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. American Cancer Society. Global cancer facts & figures 2nd edition. Atlanta: American cancer society; 2011.

    Google Scholar 

  2. Howlader N, Noone A, Krapcho M, Garshell J, Neyman N, Altekruse S, Kosary CL YM, Ruhl J, Tatalovich Z, Cho H, Mariotto A, Lewis D, Chen H, Feuer E, Cronin Ke: Seer cancer statistics review, 1975-2010, National Cancer Institute. Bethesda, md, http://seer.Cancer.Gov/csr/1975_2010/, based on November 2012 seer data submission, posted to the seer web site, 2013

  3. Inaba H, Greaves M, Mullighan CG. Acute lymphoblastic leukaemia. Lancet. 2013;381:1943–55.

    Article  PubMed  Google Scholar 

  4. Kuriyama S, Shimazu T, Ohmori K, Kikuchi N, Nakaya N, Nishino Y, et al. Green tea consumption and mortality due to cardiovascular disease, cancer, and all causes in Japan: the Ohsaki study. JAMA J Am Med Assoc. 2006;296:1255–65.

    Article  CAS  Google Scholar 

  5. Smith DM, Dou QP. Green tea polyphenol epigallocatechin inhibits DNA replication and consequently induces leukemia cell apoptosis. Int J Mol Med. 2001;7:645–52.

    CAS  PubMed  Google Scholar 

  6. Ohata M, Koyama Y, Suzuki T, Hayakawa S, Saeki K, Nakamura Y, et al. Effects of tea constituents on cell cycle progression of human leukemia u937 cells. Biomed Res (Tokyo, Japan). 2005;26:1–7.

    Article  CAS  Google Scholar 

  7. Han DH, Jeong JH, Kim JH. Anti-proliferative and apoptosis induction activity of green tea polyphenols on human promyelocytic leukemia hl-60 cells. Anticancer Res. 2009;29:1417–21.

    CAS  PubMed  Google Scholar 

  8. Iwasaki R, Ito K, Ishida T, Hamanoue M, Adachi S, Watanabe T, et al. Catechin, green tea component, causes caspase-independent necrosis-like cell death in chronic myelogenous leukemia. Cancer Sci. 2009;100:349–56.

    Article  CAS  PubMed  Google Scholar 

  9. Wu L, Zhou YP, Zhong HJ. A case-control study on the risk factors of leukemia in mining areas of rare-earth in South Jiangxi. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi. 2003;24:879–82.

    PubMed  Google Scholar 

  10. Li Y, Moysich KB, Baer MR, Weiss JR, Brasure J, Graham S, et al. Intakes of selected food groups and beverages and adult acute myeloid leukemia. Leuk Res. 2006;30:1507–15.

    Article  PubMed  Google Scholar 

  11. Zhang M, Zhao X, Zhang X, Holman CD. Possible protective effect of green tea intake on risk of adult leukaemia. Br J Cancer. 2008;98:168–70.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  12. Kuo YC, Yu CL, Liu CY, Wang SF, Pan PC, Wu MT, et al. A population-based, case-control study of green tea consumption and leukemia risk in southwestern Taiwan. Cancer Cause Control. 2009;20:57–65.

    Article  Google Scholar 

  13. Liu CY, Hsu YH, Wu MT, Pan PC, Ho CK, Su L, et al. Cured meat, vegetables, and bean-curd foods in relation to childhood acute leukemia risk: a population based case-control study. BMC Cancer. 2009;9:15.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Ma X, Park Y, Mayne ST, Wang R, Sinha R, Hollenbeck AR, et al. Diet, lifestyle, and acute myeloid leukemia in the nih-aarp cohort. Am J Epidemiol. 2010;171:312–22.

    Article  PubMed Central  PubMed  Google Scholar 

  15. Li L, Zhang M, Holman D. Population versus hospital controls for case-control studies on cancers in Chinese hospitals. BMC Med Res Methodol. 2011;11:167.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Wells G, Shea B, O’Connell D, Robertson J, Peterson J, Welch V, Losos M, Tugwell P: The Newcastle-Ottawa scale (nos) for assessing the quality of nonrandomised studies in meta-analyses. http://www.ohri.ca/programs/clinical_epidemiology/oxford_web.ppt 2010

  17. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21:1539–58.

    Article  PubMed  Google Scholar 

  18. Hedges LV, Pigott TD. The power of statistical tests in meta-analysis. Psychol Methods. 2001;6:203–17.

    Article  CAS  PubMed  Google Scholar 

  19. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–88.

    Article  CAS  PubMed  Google Scholar 

  20. Egger M, Davey Smith G, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  21. Duval S, Tweedie R. Trim and fill: a simple funnel-plot-based method of testing and adjusting for publication bias in meta-analysis. Biometrics. 2000;56:455–63.

    Article  CAS  PubMed  Google Scholar 

  22. Lau J, Antman EM, Jimenez-Silva J, Kupelnick B, Mosteller F, Chalmers TC. Cumulative meta-analysis of therapeutic trials for myocardial infarction. N Engl J Med. 1992;327:248–54.

    Article  CAS  PubMed  Google Scholar 

  23. Whitehead A. A prospectively planned cumulative meta-analysis applied to a series of concurrent clinical trials. Stat Med. 1997;16:2901–13.

    Article  CAS  PubMed  Google Scholar 

  24. Ioannidis JP, Trikalinos TA, Ntzani EE, Contopoulos-Ioannidis DG. Genetic associations in large versus small studies: an empirical assessment. Lancet. 2003;361:567–71.

    Article  PubMed  Google Scholar 

  25. Naganuma T, Kuriyama S, Kakizaki M, Sone T, Nakaya N, Ohmori-Matsuda K, et al. Green tea consumption and hematologic malignancies in Japan. Am J Epidemiol. 2009;170:730–8.

    Article  PubMed  Google Scholar 

  26. Zhang XD, Zhao XY, Zhang M, Liang Y, Xu XH, D'Arcy C, et al. A case-control study on green tea consumption and the risk of adult leukemia. Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi. 2008;29:290–3.

    CAS  PubMed  Google Scholar 

  27. Sturgeon JL, Williams M, van Servellen G. Efficacy of green tea in the prevention of cancers. Nurs Health Sci. 2009;11:436–46.

    Article  PubMed  Google Scholar 

  28. Yuan JM, Sun C, Butler LM. Tea and cancer prevention: epidemiological studies. Pharmacol Res. 2011;64:123–35.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  29. Pastore RL, Fratellone P. Potential health benefits of green tea (Camellia sinensis): a narrative review. Explore (New York, NY). 2006;2:531–9.

    Article  Google Scholar 

  30. Lecumberri E, Dupertuis YM, Miralbell R, Pichard C. Green tea polyphenol epigallocatechin-3-gallate (egcg) as adjuvant in cancer therapy. Clin Nutr. 2013;32:894–903.

    Article  CAS  PubMed  Google Scholar 

  31. Lee YK, Bone ND, Strege AK, Shanafelt TD, Jelinek DF, Kay NE. Vegf receptor phosphorylation status and apoptosis is modulated by a green tea component, epigallocatechin-3-gallate (egcg), in b-cell chronic lymphocytic leukemia. Blood. 2004;104:788–94.

    Article  CAS  PubMed  Google Scholar 

  32. Britschgi A, Simon HU, Tobler A, Fey MF, Tschan MP. Epigallocatechin-3-gallate induces cell death in acute myeloid leukaemia cells and supports all-trans retinoic acid-induced neutrophil differentiation via death-associated protein kinase 2. Br J Haematol. 2010;149:55–64.

    Article  CAS  PubMed  Google Scholar 

  33. Nakagawa H, Hasumi K, Woo JT, Nagai K, Wachi M. Generation of hydrogen peroxide primarily contributes to the induction of fe(ii)-dependent apoptosis in jurkat cells by (-)-epigallocatechin gallate. Carcinogenesis. 2004;25:1567–74.

    Article  CAS  PubMed  Google Scholar 

  34. Shim JH, Choi HS, Pugliese A, Lee SY, Chae JI, Choi BY, et al. (-)-epigallocatechin gallate regulates cd3-mediated t cell receptor signaling in leukemia through the inhibition of zap-70 kinase. J Biol Chem. 2008;283:28370–9.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  35. Kawai Y, Matsui Y, Kondo H, Morinaga H, Uchida K, Miyoshi N, et al. Galloylated catechins as potent inhibitors of hypochlorous acid-induced DNA damage. Chem Res Toxicol. 2008;21:1407–14.

    Article  CAS  PubMed  Google Scholar 

  36. Lopez-Lazaro M, Calderon-Montano JM, Burgos-Moron E, Austin CA. Green tea constituents (-)-epigallocatechin-3-gallate (egcg) and gallic acid induce topoisomerase i- and topoisomerase ii-DNA complexes in cells mediated by pyrogallol-induced hydrogen peroxide. Mutagenesis. 2011;26:489–98.

    Article  CAS  PubMed  Google Scholar 

  37. Hazawa M, Takahashi K, Sugata S, Kashiwakura I. (-)-epigallocatechin-3-o-gallate induces nonapoptotic cell death in leukemia cells independent of the 67 kda laminin receptor. J Nat Prod. 2011;74:695–700.

    Article  CAS  PubMed  Google Scholar 

  38. Fan LP, Shen JZ, Fu HY, Zhou HR, Shen SF, Yu AF. Effect of epigallocatechin-3-galate on human acute monocytic leukemia cell line u937 and its relevant mechanism. Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2010;18:286–90.

    CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This study was supported by the National Natural Science Foundation of China (81272470).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jianhua Zhao.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhong, S., Chen, Z., Yu, X. et al. Tea consumption and leukemia risk: a meta-analysis. Tumor Biol. 35, 5205–5212 (2014). https://doi.org/10.1007/s13277-014-1675-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13277-014-1675-9

Keywords

Navigation