Coffee intake and all-cause mortality with colorectal cancer patients: a dose-response meta-analysis_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

ZHOU Yalin ¹ , YOU Li ¹ , CHI Xinping ¹ ,  SONG Yan ¹ , ZHAO Chunshan ¹ , YANG Xueliang ²

1. School of Nursing, Beihua University, Jilin 132013, P. R. China;
2. Department of General Surgery, Affiliated Hospital of Beihua University, Jilin 132013, P. R. China;

Corresponding author：

SONG Yan, Email: 1293625334@qq.com

Keywords：

colorectal cancer; coffee intake; all-cause mortality; dose-response; meta-analysis

DOI：

10.7507/1007-9424.202503032

Video：

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Objective To explore the dose-response relationship between coffee intake and all-cause mortality in patients with colorectal cancer, and to provide evidence-based support for improving the prognosis of patients with colorectal cancer. Methods A comprehensive search was conducted in databases such as China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Journal Full-text Database, China Biology Medicine disc, Wanfang Data Knowledge Service Platform, PubMed, EMBase, Cochrane Library, and Web of Science for prospective cohort studies on the relationship between coffee intake and all-cause mortality in patients with colorectal cancer, up to December 2024. Literature was screened according to inclusion and exclusion criteria, and quality assessment and data extraction were performed. Data analysis was conducted using Stata 18.0 software. Results A total of 7 studies were included, involving 1 320 013 patients with colorectal cancer, with 11 550 all-cause deaths. The meta-analysis results showed that compared with patients with colorectal cancer who did not drink coffee, those who drank coffee had a lower risk of all-cause mortality [HR=0.66, 95%CI(0.53, 0.82), P=0.026]. There was a negative linear relationship between coffee intake and all-cause mortality in patients with colorectal cancer (χ²=24.10, P<0.01), and for each additional cup of coffee consumed daily, the risk of all-cause mortality decreased by 2%. Conclusion There is a linear dose-response relationship between coffee intake and all-cause mortality in patients with colorectal cancer. An increase in coffee intake can reduce the risk of all-cause mortality in patients with colorectal cancer.

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2.	Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2024, 74(3): 229-263.
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5.	Amawi H, Ashby CR, Samuel T, et al. Polyphenolic nutrients in cancer chemoprevention and metastasis: role of the epithelial-to-mesenchymal (EMT) pathway. Nutrients, 2017, 9(8): 911. doi: 10.3390/nu9080911.
6.	van Dam RM, Hu FB, Willett WC. Coffee, Caffeine, and Health. N Engl J Med, 2020, 383(4): 369-378.
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14.	Orsini N, Li R, Wolk A, et al. Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software. Am J Epidemiol, 2012, 175(1): 66-73.
15.	Mackintosh C, Yuan C, Ou FS, et al. Association of coffee intake with survival in patients with advanced or metastatic colorectal cancer. JAMA Oncol, 2020, 6(11): 1713-1721.
16.	Hu Y, Ding M, Yuan C, et al. Association between coffee intake after diagnosis of colorectal cancer and reduced mortality. Gastroenterology, 2018, 154(4): 916-926.
17.	Guercio BJ, Sato K, Niedzwiecki D, et al. Coffee intake, recurrence, and mortality in stage Ⅲ colon cancer: results from CALGB 89803 (Alliance). J Clin Oncol, 2015, 33(31): 3598-3607.
18.	Gapstur SM, Anderson RL, Campbell PT, et al. Associations of coffee drinking and cancer mortality in the cancer prevention study-Ⅱ. Cancer Epidemiol Biomarkers Prev, 2017, 26(10): 1477-1486.
19.	Oyelere AM, Kok DE, Bos D, et al. Coffee consumption is associated with a reduced risk of colorectal cancer recurrence and all-cause mortality. Int J Cancer, 2024, 154(12): 2054-2063.
20.	Sun H, Liu Y, Huang H, et al. Diet quality score and survival rate in patients with colorectal cancer. Asia Pac J Clin Nutr, 2019, 28(3): 601-606.
21.	Sugiyama K, Kuriyama S, Akhter M, et al. Coffee consumption and mortality due to all causes, cardiovascular disease, and cancer in Japanese women. J Nutr, 2010, 140(5): 1007-1013.
22.	Becerra-Tomás N, Markozannes G, Cariolou M, et al. Post-diagnosis adiposity and colorectal cancer prognosis: a Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer, 2024, 155(3): 400-425.
23.	Hou N, Liu N, Han J, et al. Chlorogenic acid induces reactive oxygen species generation and inhibits the viability of human colon cancer cells. Anticancer Drugs, 2017, 28(1): 59-65.
24.	Murad LD, Soares Nda C, Brand C, et al. Effects of caffeic and 5-caffeoylquinic acids on cell viability and cellular uptake in human colon adenocarcinoma cells. Nutr Cancer, 2015, 67(3): 532-542.
25.	Kang NJ, Lee KW, Kim BH, et al. Coffee phenolic phytochemicals suppress colon cancer metastasis by targeting MEK and TOPK. Carcinogenesis, 2011, 32(6): 921-928.
26.	Cornelis MC, Byrne EM, et al. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol Psychiatry, 2015, 20(5): 647-656.
27.	Loftfield E, Cornelis MC, Caporaso N, et al. Association of coffee drinking with mortality by genetic variation in caffeine metabolism: findings from the UK biobank. JAMA Intern Med, 2018, 178(8): 1086-1097.
28.	徐进文. 雌激素通过改善内脏脂肪功能影响血脂、胰岛素敏感性. 广州: 中山大学, 2010.

1. Zheng R, Zhang S, Zeng H, et al. Cancer incidence and mortality in China, 2016. J Natl Cancer Cent, 2022, 2(1): 1-9.
2. Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2024, 74(3): 229-263.
3. Sung H, Ferlay J, Siegel RL, et al. Global Cancer Statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 Cancers in 185 countries. CA Cancer J Clin, 2021, 71(3): 209-249.
4. Gökcen BB, Şanlier N. Coffee consumption and disease correlations. Crit Rev Food Sci Nutr, 2019, 59(2): 336-348.
5. Amawi H, Ashby CR, Samuel T, et al. Polyphenolic nutrients in cancer chemoprevention and metastasis: role of the epithelial-to-mesenchymal (EMT) pathway. Nutrients, 2017, 9(8): 911. doi: 10.3390/nu9080911.
6. van Dam RM, Hu FB, Willett WC. Coffee, Caffeine, and Health. N Engl J Med, 2020, 383(4): 369-378.
7. Villota H, Santa-González GA, Uribe D, et al. Modulatory effect of chlorogenic acid and coffee extracts on wnt/β-catenin pathway in colorectal cancer cells. Nutrients, 2022, 14(22): 4880. doi: 10.3390/nu14224880.
8. Villota H, Moreno-Ceballos M, Santa-González GA, et al. Biological impact of phenolic compounds from coffee on colorectal cancer. Pharmaceuticals (Basel), 2021, 14(8): 761. doi: 10.3390/ph14080761.
9. 房立源, 王润兮, 方宇航, 等. 两样本孟德尔随机化研究咖啡消费与消化系统肿瘤的因果关系. 现代预防医学, 2023, 50(21): 3901-3905,3935.
10. Stang A. Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur J Epidemiol, 2010, 25(9): 603-605.
11. Higgins JP, Thompson SG, Deeks JJ, et al. Measuring inconsistency in meta-analyses. BMJ, 2003, 327(7414): 557-560.
12. Harrel FE. Regression Modeling Strategies: with applications to linear models, logistic regression, and survival analysis. Springer-Verlag New York: New York, USA, 2010: 起止页码.
13. Greenland S. Dose-response and trend analysis in epidemiology: alternatives to categorical analysis. Epidemiology, 1995, 6(4): 356-365.
14. Orsini N, Li R, Wolk A, et al. Meta-analysis for linear and nonlinear dose-response relations: examples, an evaluation of approximations, and software. Am J Epidemiol, 2012, 175(1): 66-73.
15. Mackintosh C, Yuan C, Ou FS, et al. Association of coffee intake with survival in patients with advanced or metastatic colorectal cancer. JAMA Oncol, 2020, 6(11): 1713-1721.
16. Hu Y, Ding M, Yuan C, et al. Association between coffee intake after diagnosis of colorectal cancer and reduced mortality. Gastroenterology, 2018, 154(4): 916-926.
17. Guercio BJ, Sato K, Niedzwiecki D, et al. Coffee intake, recurrence, and mortality in stage Ⅲ colon cancer: results from CALGB 89803 (Alliance). J Clin Oncol, 2015, 33(31): 3598-3607.
18. Gapstur SM, Anderson RL, Campbell PT, et al. Associations of coffee drinking and cancer mortality in the cancer prevention study-Ⅱ. Cancer Epidemiol Biomarkers Prev, 2017, 26(10): 1477-1486.
19. Oyelere AM, Kok DE, Bos D, et al. Coffee consumption is associated with a reduced risk of colorectal cancer recurrence and all-cause mortality. Int J Cancer, 2024, 154(12): 2054-2063.
20. Sun H, Liu Y, Huang H, et al. Diet quality score and survival rate in patients with colorectal cancer. Asia Pac J Clin Nutr, 2019, 28(3): 601-606.
21. Sugiyama K, Kuriyama S, Akhter M, et al. Coffee consumption and mortality due to all causes, cardiovascular disease, and cancer in Japanese women. J Nutr, 2010, 140(5): 1007-1013.
22. Becerra-Tomás N, Markozannes G, Cariolou M, et al. Post-diagnosis adiposity and colorectal cancer prognosis: a Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis. Int J Cancer, 2024, 155(3): 400-425.
23. Hou N, Liu N, Han J, et al. Chlorogenic acid induces reactive oxygen species generation and inhibits the viability of human colon cancer cells. Anticancer Drugs, 2017, 28(1): 59-65.
24. Murad LD, Soares Nda C, Brand C, et al. Effects of caffeic and 5-caffeoylquinic acids on cell viability and cellular uptake in human colon adenocarcinoma cells. Nutr Cancer, 2015, 67(3): 532-542.
25. Kang NJ, Lee KW, Kim BH, et al. Coffee phenolic phytochemicals suppress colon cancer metastasis by targeting MEK and TOPK. Carcinogenesis, 2011, 32(6): 921-928.
26. Cornelis MC, Byrne EM, et al. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption. Mol Psychiatry, 2015, 20(5): 647-656.
27. Loftfield E, Cornelis MC, Caporaso N, et al. Association of coffee drinking with mortality by genetic variation in caffeine metabolism: findings from the UK biobank. JAMA Intern Med, 2018, 178(8): 1086-1097.
28. 徐进文. 雌激素通过改善内脏脂肪功能影响血脂、胰岛素敏感性. 广州: 中山大学, 2010.

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