top of page
Copy of Aine McCarthy, Cancer Research U

Author(s): Jürgen Rehm Kevin Shield 3

Publication date (Electronic): 25 March 2020

Journal: Frontiers in Oncology

Publisher: Frontiers Media S.A.

​

Rehm J and Shield K (2020) Alcohol Use and Cancers of the Gastrointestinal Tract. Epidemiology and Preventive Implications. Front. Oncol. 10:403. doi: 10.3389/fonc.2020.00403

Introduction

Alcohol use is one of the major risk factors for cancer (12), with about 5% of all cancers being caused by alcohol (3). Gastrointestinal cancers, which contributed about one third to all cancer burden of disease and more than 40% to all cancer deaths in 2017 (4), are no exception. On the contrary, alcohol-attributable gastrointestinal cancer types made up the majority of all alcohol-attributable cancers [more than 80% of both mortality and burden of disease (3)].

​

For most of the cancers in the gastrointestinal tract, alcohol use has been established as a causal factor [for criteria see (56)], and the categorizations converge between the International Agency for Research on Cancer (78) and the Continuous Update Project of the World Cancer Research Fund (9) (see Table 1 for details).

​

Table 1
Alcohol-attributable mortality and burden of disease for cancers of the gastrointestinal tract in 2016. 
PAF, population-attributable fraction.

​

It is the aim of this contribution to give epidemiological indicators for alcohol-attributable cancer burden for organs of the gastrointestinal tract globally, and to look into the best prevention efforts. As a basis, we used a recent publication on alcohol use and disease burden (3), from which we aggregated the alcohol-attributable death and burden of disease [in disability-adjusted life-years—DALYs—lost (10)], and the recommendations of the World Health Organization (WHO) (11) to prevent premature mortality from non-communicable disease, namely the so-called “best buys,” which constitute a particular set of alcohol control mechanism, which are not only highly cost-effective (12), but also very affordable and easy to implement (13).

 

Materials and Methods

Based on available global data (14), the following cancer categories were considered to be in part caused by alcohol use: lip and oral cavity (C00–C08), other pharynx than nasopharynx (C12–C14), esophagus (C15), colon and rectum (C18–C21), and liver (C22). Thus, our estimates exclude cancers of small intestine (C17) and cancer of the intestinal tract, part unspecified (C26), which has been determined to be potentially alcohol-attributable (78).

 

The mortality and disease burden of alcohol-attributable gastrointestinal cancer for 2016 was calculated based on the recent publication of Shield et al. (3), who based their estimates on the exposure estimates of Manthey et al. (15) combined with cancer-site specific risk relations of Turati et al. (16) for liver cancer, and Bagnardi et al. (17) for all other cancer categories. A 10-year lag between exposure and outcomes was assumed (18).

 

Shield and colleagues performed a comparative risk assessment for alcohol (19) based on the tradition of the Global Burden of Disease Studies [last assessment published: (20) and the WHO Global Status Reports on Alcohol and Health [last: (21)]. The usual formula for attributable risk was used (22), with exposure being continuous, with a specific term for former drinkers added (2324) to adjust for the “sick quitter” phenomenon (25)]. For a general discussion of the assumptions of comparative risk assessments, see the overview by Murray et al. (26), and for further detail on the assumptions for comparative risk assessments for alcohol, [see Rehm et al. (27)]. All dose-response curves show a monotonous exponential course (3), with cancers of the upper digestive tract showing steeper slopes. Further details on the risk relation formulas can be found in Shield et al. (3).

 

Prevention suggestions were based on the WHO's recommendations for prevention and control of non-communicable disease burden (11), with special emphasis on the cost-effectiveness of models.

 

Results

Epidemiology

Globally, 368,000 deaths (304,000 men and 64,000 women) and more than 10 million DALYs lost (10.1 million; 8.4 million men and 1.6 million women) in 2016 were attributable to alcohol use, making up about 10% of all deaths and DALYs lost due to these cancers, respectively. These deaths and years of life lost could have been avoided if no alcohol had been consumed. Table 2 gives an overview of alcohol-attributable mortality and burden of disease by subcategory of gastrointestinal cancer.

​

Table 2

Alcohol-attributable mortality and burden of disease for cancers of the gastrointestinal tract in 2016.
CI, Confidence interval; DALYs, disability-adjusted life years; PAF, population-attributable fraction of burden of disease in DALYs lost.

*Due to the dose-response function, the 95% confidence intervals are asymmetric.

​

Alcohol-attributable liver cancer had the largest share of mortality and burden of disease out of all the alcohol-attributable cancer categories, followed by colorectal cancers. Burden showed a high variation in different parts of the world, mainly based on the distribution of alcohol use (Figures 1A,B2A,B). It should be noted that all figures show point estimates only, and some of these estimates have wide confidence intervals (see also Table 2).

fonc-10-00403-g0001.jfif

Figure 1

(A,B) Age-standardized mortality rates and population-attributable fractions of alcohol-attributable gastrointestinal cancers in 2016.

Figure2.jfif

Figure 2

(A,B) Age-standardized disability-adjusted life years (DALY) rates and population-attributable fractions of alcohol-attributable gastrointestinal cancers in 2016.

The highest alcohol-attributable cancer mortality and burden rates are found in eastern Europe, and parts of Central Asia, whereas countries in the Muslim belt from North Africa to Pakistan were found to have the lowest rates of mortality and burden (see Figures 1A,B2A,B).

 

Prevention

As shown above, the burden of alcohol-attributable gastrointestinal cancer is large, with more than 360,000 deaths and more than one million DALYs lost. What are the best prevention strategies, based on the risk relations between alcohol use and gastrointestinal cancer? First, unlike other alcohol-attributable disease outcomes with complex risk curves for the average level of drinking and interactions with the pattern of drinking—such as ischemic heart disease (2829)—the relationship between gastrointestinal cancer and alcohol is simple: the more alcohol consumed, the higher the risk (3). Prevention efforts should therefore mainly focus on a reduction in the level of drinking (30). There also do not seem to be specific effects for different beverage types (31). Thus, the best ways to reduce overall level of consumption would be those that are effective in the prevention of any type of cancer, and for those which work to prevent gastrointestinal cancer specifically (32). Any reduction in alcohol consumption will be associated reductions in cancer risks, albeit with lag times [e.g., (3334)].

 

Given this situation, and the fact that many alcohol-attributable cancers are found light to moderate drinkers (3536), the most effective and cost-effective prevention method available to us is the alcohol control policy outlined in the WHO “best buys” [e.g., (1213): an increase in the price of alcoholic beverages via an increase in alcohol taxation (37)], and restrictions on their availability, such as a restriction on sale hours, and a ban on marketing (38). In addition, there may be two interventions to prevent alcohol-attributable gastrointestinal cancer burden specifically: educating the public and container labeling. Both of these interventions build on the fact that knowledge that alcohol is a carcinogen has still not entered into the mainstream in most countries (39). Even those who indicated an awareness of the impact alcohol use has on cancer, did not know whether the risk was specific to alcohol; rather, they viewed it as being part of an overall belief that “everything causes cancer” (40). This indicates an urgent need to inform the general public regarding the alcohol-cancer link. Given the marked risk of usual alcohol intake, one common way of disseminating this information would be via the use of specific cancer-warning labels on alcoholic-beverage packaging (41). While most evidence available regarding the effectiveness of warning labels placed on packaging is not specific to alcohol, we see no reason why such an intervention would not work for alcohol as well. There have, in fact, been some reports of positive effects from the use of warning labels for alcohol containers as well [e.g., (42)].

 

Discussion

We would first like to highlight the potential limitations of our study. As for the epidemiology, almost all single studies have found a relationship between alcohol use and the risk of gastrointestinal cancers. Biological evidence corroborates these findings. While knowledge about the biological pathways of cancer is certainly not complete, acetaldehyde—the first derivative of alcohol metabolism in humans and an ingredient in some alcoholic beverages (43)—seems to be the major pathway between alcohol use and esophagus and other gastrointestinal cancers (8): Acetaldehyde associated with consumption of alcoholic beverages has been classified as a Group 1 carcinogen for humans [i.e., sufficient evidence exists that it is carcinogenic; see also (4445)].

 

Part of the evidence for acetaldehyde serving as a biological pathway in the development of cancer came from studies in populations having genetic constellations (Aldehyde Dehydrogenase 2 gene) that slowed the breakdown of acetaldehyde, thereby creating a situation in which acetaldehyde was active for longer periods of time (46). People with this genetic constellation had a markedly increased risk of esophagus and other gastrointestinal cancers (7).

 

The increased risk for people with different genetic constellations in some Asian populations has not yet been incorporated into the comparative risk assessments like those noted above. Comparative risk assessments to date have been based on risk relations found mainly in Western high-income countries, which makes the above analysis conservative, and suggests that the gastrointestinal cancer risks posed by alcohol use may be markedly underestimated in Asian countries (47).

 

All of these findings assumed a lag time between alcohol use and cancer of 10 years (18). Clearly, this is an average across individuals and cancer subtypes, which may lead to biases that are not quantified in the current analyses.

 

The most contested is that the finding that there is no lower threshold for the impact of alcohol use on cancer (7). While there are empirical studies which seem to show protective effects for light drinking, most of these studies cannot exclude the “sick quitter” hypothesis—that abstainers are former drinkers who gave up alcohol due to health problems [(25); see also (48)]. Indeed, there are significantly elevated risks for former drinkers for all gastrointestinal cancers (3).

 

Finally, focusing only on the prevention of gastrointestinal cancer may lead to biased recommendations since alcohol use has been linked to over 200 diseases and injuries with different risk relations (649). While it is true that some of these diseases may require additional alcohol control measures specifically directed at certain patterns of drinking [e.g., (6)], reducing the overall volume of drinking will yield at least some benefit for all of these disease and injury categories.

 

In conclusion, alcohol use is a major contributor to gastrointestinal cancers globally, with the exception of some Muslim-majority countries. There are effective and cost-effective alcohol control policies to reduce alcohol-attributable burden available: most importantly, the WHO's three best buys (increase in taxation, restriction on availability, and ban on advertisement), in addition to public education efforts, including the placement of warning labels on alcoholic beverage containers to increase public awareness that alcohol is a carcinogen.

 

Data Availability Statement

The datasets generated for this study are available on request to the corresponding author.

 

Author Contributions

JR and KS are equally responsible for all parts of the article.

​

Funding

The authors acknowledge funding from the Canadian Institutes of Health Research's Institute of Neurosciences, Mental Health and Addiction (Canadian Research Initiative on Substance Misuse Ontario Node Grant SMN-13950).

 

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

 

Acknowledgments

The authors would like to thank Ms. Astrid Otto for copy-editing and referencing assistance.

 

References

1. National Institutes of Health - National Cancer Institute. Risk Factors for Cancer. (2015). Available online at: https://www.cancer.gov/about-cancer/causes-prevention/risk

Google Scholar

2. Rehm J, Shield KD, Weiderpass E. Alcohol consumption: a leading risk factor for cancer. In: Wild CP WE, Stewart BW, editors. World Cancer Report: Cancer Research for Cancer Prevention. Lyon: International Agency for Research on Cancer (2020). p. 68–76.

3. Shield K, Manthey J, Rylett M, Probst C, Wettlaufer A, Parry CD, et al. National, regional, and global burdens of disease from 2000 to 2016 attributable to alcohol use: a comparative risk assessment study. Lancet Public Health. (2020) 5:e51–61. doi: 10.1016/S2468-2667(19)30231-2

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Global Health Data Exchange (GHDx). GBD Results Tool. (2020). Available online at: http://ghdx.healthdata.org/gbd-results-tool (accessed January 10, 2020).

5. Rothman KJ, Greenland S, Lash TL. Modern Epidemiology, 3rd ed. Philadelphia, PA: Lippincott Williams & Wilkins (2012).

Google Scholar

6. Rehm J, Gmel GE Sr, Gmel G, Hasan OS, Imtiaz S, Popova S, et al. The relationship between different dimensions of alcohol use and the burden of disease—an update. Addiction. (2017) 112:968–1001. doi: 10.1111/add.13757

PubMed Abstract | CrossRef Full Text | Google Scholar

7. International Agency for Research on Cancer. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans: Alcohol Consumption and Ethyl Carbamate. Vol. 96. Lyon: International Agency for Research on Cancer (2010).

Google Scholar

8. International Agency for Research on Cancer. IARC Monographs on the Evaluation of Carcinogenic Risks to Humans 100E. Lyon: International Agency for Research on Cancer (2012).

9. World Cancer Research Fund International, American Institute for Cancer Research. About the Continuous Update Project. (2019). Available online at: https://www.wcrf.org/int/continuous-update-project (accessed January 10, 2020).

Google Scholar

10. World Health Organization. Metrics: Disability-Adjusted Life Year (DALY): Quantifying the Burden of Disease from Mortality and Morbidity. (2019). Available online at: https://www.who.int/healthinfo/global_burden_disease/metrics_daly/en/ (accessed Febuary 13, 2019).

11. World Health Organization. Preventing Noncommunicable Diseases. (2019). Available online at: https://www.who.int/activities/preventing-noncommunicable-diseases (accessed January 10, 2020).

PubMed Abstract | Google Scholar

12. Chisholm D, Moro D, Bertram M, Pretorius C, Gmel G, Shield K, et al. Are the “best buys” for alcohol control still valid? an update on the comparative cost-effectiveness of alcohol control strategies at the global level. J Stud Alcohol Drugs. (2018) 79:514–22. doi: 10.15288/jsad.2018.79.514

PubMed Abstract | CrossRef Full Text | Google Scholar

13. World Health Organization. Tackling NCDs: “Best Buys” and Other Recommended Interventions for the Prevention and Control of Noncommunicable Diseases. (2017). Available online at: https://apps.who.int/iris/handle/10665/259232 (accessed January 20, 2020).

Google Scholar

14. World Health Organization. Global Health Estimates (GHE). (2020). Available online at: http://www.who.int/healthinfo/global_burden_disease/en/ (accessed January 10, 2020).

PubMed Abstract

15. Manthey J, Shield KD, Rylett M, Hasan OSM, Probst C, Rehm J. Global alcohol exposure between 1990 and 2017 and forecasts until 2030: a modelling study. Lancet. (2019) 393:2493–502. doi: 10.1016/S0140-6736(18)32744-2

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Turati F, Galeone C, Rota M, Pelucchi C, Negri E, Bagnardi V, et al. Alcohol and liver cancer: a systematic review and meta-analysis of prospective studies. Ann Oncol. (2014) 25:1526–35. doi: 10.1093/annonc/mdu020

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Bagnardi V, Rota M, Botteri E, Tramacere I, Islami F, Fedirko V, et al. Alcohol consumption and site-specific cancer risk: a comprehensive dose-response meta-analysis. Br J Cancer. (2015) 112:580–93. doi: 10.1038/bjc.2014.579

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Grundy A, Poirier AE, Khandwala F, McFadden A, Friedenreich CM, Brenner DR. Cancer incidence attributable to insufficient fibre consumption in Alberta in 2012. CMAJ Open. (2017) 5:E7–13. doi: 10.9778/cmajo.20160043

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Rehm J, Imtiaz S. A narrative review of alcohol consumption as a risk factor for global burden of disease. Subst Abuse Treat Prev Policy. (2016) 11:37. doi: 10.1186/s13011-016-0081-2

PubMed Abstract | CrossRef Full Text | Google Scholar

20. GBD 2017 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet. (2018). 392:1923–94. doi: 10.1016/S0140-6736(18)32225-6

PubMed Abstract | CrossRef Full Text | Google Scholar

21. World Health Organization. Global status report on alcohol and health 2018. (2018). Available online at: https://www.who.int/substance_abuse/publications/global_alcohol_report/en/ (accessed Febuary 05, 2019).

Google Scholar

22. Levin ML. The occurrence of lung cancer in man. Acta Unio Int Contra Cancrum. (1953) 9:531–41.

PubMed Abstract | Google Scholar

23. Rehm J, Kehoe T, Gmel G, Stinson F, Grant B, Gmel G. Statistical modeling of volume of alcohol exposure for epidemiological studies of population health: the US example. Population Health Metrics. (2010) 8:3. doi: 10.1186/1478-7954-8-3

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Ezzati M, Lopez A, Rodgers A, Murray CJL. Comparative Quantification of Health Risks. Global and Regional Burden of Disease Attributable to Selected Major Risk Factors. Geneva: World Health Organization (2004).

Google Scholar

25. Shaper AG, Wannamethee G, Walker M. Alcohol and mortality in British men: explaining the U-shaped curve. Lancet. (1988) 2:1267–73. doi: 10.1016/S0140-6736(88)92890-5

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Murray CJL, Ezzati M, Lopez AD, Rodgers A, Vander Hoorn S. Comparative quantification of health risks: conceptual framework and methodological issues. In: Ezzati M, Lopez AD, Rodgers A, Murray CJL, editors. Comparative Quantification of Health Risks: Global and regional Burden of Disease Attributable to Selected Major Risk Factors. Geneva: World Health Organization. (2004) p. 1–38.

PubMed Abstract | Google Scholar

27. Rehm J, Monteiro M, Room R, Gmel G, Jernigan D, Frick U, et al. Steps towards constructing a global comparative risk analysis for alcohol consumption: determining indicators and empirical weights for patterns of drinking, deciding about theoretical minimum, and dealing with different consequences. Eur Addict Res. (2001) 7:138–47. doi: 10.1159/000050731

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Roerecke M, Rehm J. Alcohol consumption, drinking patterns, and ischemic heart disease: a narrative review of meta-analyses and a systematic review and meta-analysis of the impact of heavy drinking occasions on risk for moderate drinkers. BMC Med. (2014) 12:182. doi: 10.1186/s12916-014-0182-6

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Roerecke M, Rehm J. The cardioprotective association of average alcohol consumption and ischaemic heart disease: a systematic review and meta-analysis. Addiction. (2012) 107:1246–60. doi: 10.1111/j.1360-0443.2012.03780.x

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Rehm J, Crepault JF, Hasan OSM, Lachenmeier DW, Room R, Sornpaisarn B. Regulatory policies for alcohol, other psychoactive substances and addictive behaviours: the role of level of use and potency. A systematic review. Int J Environ Res Public Health. (2019) 16:3749. doi: 10.3390/ijerph16193749

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Rehm J, Hasan OSM. Is burden of disease differentially linked to spirits? a systematic scoping review and implications for alcohol policy. Alcohol. (2019) 82:1–10. doi: 10.1016/j.alcohol.2019.06.005

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Rehm J, Soerjomataram I, Ferreira-Borges C, Shield KD. Does alcohol use affect cancer risk? Curr Nutr Rep. (2019) 8:222–9. doi: 10.1007/s13668-019-0267-0

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Grundy A, Poirier AE, Khandwala F, McFadden A, Friedenreich CM, Brenner DR. Cancer incidence attributable to alcohol consumption in Alberta in 2012). CMAJ Open. (2016) 4:E507–14. doi: 10.9778/cmajo.20160070

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Rehm J, Patra J, Popova S. Alcohol drinking cessation and its effect on esophageal and head and neck cancers: a pooled analysis. Int J Cancer. (2007) 121:1132–7. doi: 10.1002/ijc.22798

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Bagnardi V, Rota M, Botteri E, Tramacere I, Islami F, Fedirko V, et al. Light alcohol drinking and cancer: a meta-analysis. Ann Oncol. (2013) 24:301–8. doi: 10.1093/annonc/mds337

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Rehm J, Shield KD. Alcohol Use and Cancer in the European Union. A Review. European Addiction Research (2020).

37. Sornpaisarn B, Shield KD, Österberg E, Rehm J. Resource Tool on Alcohol Taxation and Pricing Policies. Geneva: World Health Organization and others (2017).

Google Scholar

38. Babor TF, Caetano R, Casswell S, Edwards G, Giesbrecht N, Graham K, et al. Alcohol: No Ordinary Commodity. Research and public policy, 2nd ed. Oxford; London: Oxford University Press (2010).

Google Scholar

39. Scheideler JK, Klein WMP. Awareness of the Link between Alcohol Consumption and Cancer across the World: A Review. Cancer Epidemiol Biomarkers Prev. (2018) 27:429–37. doi: 10.1158/1055-9965.EPI-17-0645

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Wiseman KP, Klein WMP. Evaluating Correlates of Awareness of the Association between Drinking Too Much Alcohol and Cancer Risk in the United States. Cancer Epidemiol Biomarkers Prev. (2019) 28:1195–201. doi: 10.1158/1055-9965.EPI-18-1010

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Llopis EJ, Kokole D, Neufeld M, Hasan OSM, Rehm J. Evidence Synthesis Report on Alcohol Labelling. Hen Review prepared for WHO Health Evidence Network. Barcelona: ESADE (2019).

42. Weerasinghe A, Schoueri-Mychasiw N, Vallance K, Stockwell T, Hammond D, McGavock J, et al. Improving knowledge that alcohol can cause cancer is associated with consumer support for alcohol policies: findings from a real-world alcohol labelling study. Int J Environ Res Public Health. (2020) 17:398. doi: 10.3390/ijerph17020398

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Lachenmeier DW, Kanteres F, Rehm J. Carcinogenicity of acetaldehyde in alcoholic beverages: Risk assessment outside ethanol metabolism. Addiction. (2009) 104:533–50. doi: 10.1111/j.1360-0443.2009.02516.x

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Kanteres F, Lachenmeier DW, Rehm J. The contribution of acetaldehyde from alcohol to cancer: a review and exposure estimate for Germany. Sucht. (2009) 55:111–7. doi: 10.1024/2009.02.07

CrossRef Full Text | Google Scholar

45. Balbo S, Brooks PJ. Implications of acetaldehyde-derived DNA adducts for understanding alcohol-related carcinogenesis. Adv Exp Med Biol. (2015) 815:71–88. doi: 10.1007/978-3-319-09614-8_5

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Brooks PJ, Enoch MA, Goldman D, Li TK, Yokoyama A. The alcohol flushing response: an unrecognized risk factor for esophageal cancer from alcohol consumption. PLoS Med. (2009) 6:258–63. doi: 10.1371/journal.pmed.1000050

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Roerecke M, Shield KD, Higuchi S, Yoshimura A, Larsen E, Rehm MX, et al. Estimates of alcohol-related oesophageal cancer burden in Japan: systematic review and meta-analyses. Bull World Health Organ. (2015) 93:329–38c. doi: 10.2471/BLT.14.142141

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Rehm J, Irving H, Ye Y, Kerr WC, Bond J, Greenfield TK. Are lifetime abstainers the best control group in alcohol epidemiology? on the stability and validity of reported lifetime abstention. Am J Epidemiol. (2008) 168:866–71. doi: 10.1093/aje/kwn093

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J. Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet. (2009) 373:2223–33. doi: 10.1016/S0140-6736(09)60746-7

PubMed Abstract | CrossRef Full Text | Google Scholar

#AlcoholAndCancer

 Come back to find the Latest News & Updates

Contact Us

If you have any concerns or feedback about this website, please let us know! Additionally, if you would like to use any of the materials presented here, feel free to get in touch, and we will be happy to assist you. For any questions or suggestions, this is the appropriate platform to submit your inquiries.

Thanks for submitting!

bottom of page