Abstract
Background:
An inverse association between alcoholic beverage intake and risk of renal cell cancer has been suggested in recent studies.
Methods:
We examined the association between alcoholic beverages and renal cell cancer risk in a meta-analysis. We identified relevant studies by searching the database of PubMed, EMBASE, and MEDLINE published through August 2011. We combined the study-specific relative risks (RRs) using a random-effects model.
Results:
A total of 20 case–control studies, 3 cohort studies, and 1 pooled analysis of cohort studies were included in the meta-analysis. We observed that alcoholic beverage intake was associated with a lower risk of renal cell cancer in combined analysis of case–control and cohort studies; for total alcoholic beverage intake, combined RRs (95% confidence intervals) comparing top with bottom categories were 0.76 (0.68–0.85) in case–control studies, and 0.71 (0.63–0.78) in cohort studies (P for difference by study design=0.02). The inverse associations were observed for both men and women and for each specific type alcoholic beverage (beer, wine, and liquor). Also, we found that one drink per day of alcoholic beverage conferred the reduction in renal cell cancer risk, but further drinking above that level did not add benefit.
Conclusion:
The findings from our meta-analysis support the hypothesis that alcoholic beverage intake is inversely associated with a lower risk of renal cell cancer, with moderate consumption conferring the protection and higher consumption conferring no additional benefits.
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Main
Incidence of renal cell cancer, the major type of kidney cancer, has increased worldwide (Mathew et al, 2002; Chow et al, 2010). Although smoking, obesity, and hypertension are known to be well-established risk factors for renal cell cancer (Chow et al, 2010), dietary modifiable risk factors for renal cell cancer have not been well defined. Alcoholic beverage has been widely consumed and its global consumption has been increasing in the last decades (World Health Organization, 2002). Merits and demerits of alcoholic beverage intake have been long explored because of its benefit for cardiovascular disease (Corrao et al, 2000; Fillmore et al, 2007; Ronksley et al, 2011) or carcinogenic effect (Kan et al, 2011). An International Review panel, sponsored by the World Cancer Research Fund (WCRF) and American Institute for Cancer Research, reported that alcoholic beverage intake increased the risk of cancers of the oral cavity, larynx, pharynx, oesophagus, liver, female breast, and colorectum (World Cancer Research Fund & American Institute for Cancer Research, 2007), but there was a limited evidence about the association between alcoholic beverage intake and kidney cancer.
As the WCRF reported the summary, further studies have examined the association between alcoholic beverage intake and kidney cancer (Greving et al, 2007; Hsu et al, 2007; Lee et al, 2007; Ozasa, 2007; Setiawan et al, 2007; Hu et al, 2008; Pelucchi et al, 2008; Kim et al, 2010; Lew et al, 2011; Allen et al, 2011). A few prospective studies and a pooled analysis of 12 prospective studies found an inverse association for alcoholic beverage intake. However, the associations for men and women were not consistent across studies, partly because of small sample size. Also, there was little evidence whether different types of specific alcoholic beverage including beer, wine, and liquor, confer similar effects.
To elucidate the role of alcoholic beverage intake in renal cell cancer, we investigated the association of total alcoholic beverage and specific alcoholic beverage intake in relation to risk of renal cell cancer in a comprehensive meta-analysis of cohort and case–control studies.
Materials and methods
Search strategy
We identified studies examining the association between alcoholic beverage intake and renal cell cancer by searching the database of PubMed, EMBASE, and MEDLINE published through August 2011. We used the following terms for the PubMed search: ((‘alcohol’ or ‘wine’ or ‘beer’ or ‘liquor’ or ‘ethanol’ or ‘spirit’) and (‘renal cell carcinoma’ or ‘kidney cancer’ or ‘renal cell cancer’ or ‘renal adenocarcinoma’ or ‘kidney adenocarcinoma’)). For the EMBASE and MEDLINE, we used the terms of (alcohol OR wine OR beer OR liquor OR ethanol) AND (carcinoma OR kidney cancer OR cancer OR kidney adenocarcinoma). We included human studies published in English language articles. In addition, we examined the references from the retrieved articles. We confirmed this meta-analysis according to the Meta-analysis of Observational Studies in Epidemiology guidelines (Stroup et al, 2000).
Selection criteria
Two authors (DY Song and S Song) independently assessed the eligibility criteria as follows; (1) case–control or cohort design, published as full-text manuscripts; (2) the exposure of interest was total alcoholic beverage or specific alcoholic beverage intake; (3) the endpoint of interest was renal cell, kidney cancer, renal, or kidney adenocarcinoma; and (4) relative risk (RR) estimates with 95% confidence intervals (CIs) for every category of alcoholic beverage intake or per unit increase in alcoholic beverage intake were reported. For one study (Wynder et al, 1974) that had not examined RRs and 95% CI, we calculated RRs and 95% CI based on the number of cases and controls. When there were multiple publications from the same study population, we only included the study that combined independent studies, examined alcoholic beverage intake as the main interest of exposure, or the study with the largest number of cases or more follow-up years. We did not include two studies (Ozasa, 2007; Kim et al, 2010) in which kidney cancer mortality was endpoint because mortality reflects both incidence and survival.
Data extraction
We extracted from each article the following information: the first author’s last name, publication year, country in which the study was performed, study design, study period, participants’ age and sex, endpoint, exposure assessment, when available, and the number of cases and controls or person–years for each category of alcoholic beverage intake and covariates for adjustment in the analysis. When several estimates were reported, we used the estimates adjusted for the most number of covariates. The authors were contacted for additional information, when necessary. If studies reported the estimate of only specific type of alcoholic beverage (McLaughlin et al, 1984; Asal et al, 1988), we still included those estimates into our meta-analysis of total alcoholic beverage. For one study that reported different types of beer and wine (Greving et al, 2007), we used the estimate of strong beer and strong wine when we analysed the specific type of alcoholic beverages. The quality of each study was assessed by two independent authors (DY Song and S Song) using the Newcastle–Ottawa Scale (Wells et al, 2011) and then averaged. Discrepancies in >1 score between two authors were resolved by consensus.
Statistical analysis
We summarised the estimates across the studies using a random-effects model (DerSimonian and Laird, 1986). We compute the combined RRs and 95% CIs from the estimates reported in each study. We also examined the non-linearity of the relationship using restricted cubic splines (Durrleman and Simon, 1989; Greenland and Longnecker, 1992; Orsini et al, 2012) for studies that provided the number of participants or person–years and two or greater categories of alcoholic beverage intake or ethanol intake. As a result, we included 10 case–control (Wynder et al, 1974; McLaughlin et al, 1984; Asal et al, 1988; Yuan et al, 1998; Mattioli et al, 2002; Parker et al, 2002; Greving et al, 2007; Hsu et al, 2007; Hu et al, 2008; Pelucchi et al, 2008), 3 cohort (Setiawan et al, 2007; Allen et al, 2011; Lew et al, 2011), and 1 pooled analysis studies (Lee et al, 2007) in the spline analysis. To test for non-linearity, we compared the model fit including only the linear term with the model fit including the linear and cubic spline terms using the likelihood ratio test. We used the midpoint between the upper and lower levels in the categories. If the upper level for the highest category was open-ended, we assumed that the level had the same amplitude as the neighbourhood categories.
For the meta-analysis of specific beverages, we rescaled alcoholic beverage into gram (g) of ethanol per day using the conversion factors: 1 drink=15 g, 11.3 g of ethanol for a 4-oz (118 ml) glass of wine, 12.8 g for 12-oz (354 ml) one glass, bottle, or can for beer, and 14.0 g for one measure (45 ml) for liquor. We converted servings per day of alcoholic beverage to 15 g per day of ethanol.
A meta-regression analysis was used to investigate whether the association between alcoholic beverage and risk of renal cell cancer differed by study design (case–control and cohort studies), sex, smoking adjustment (yes, no), or hypertension adjustment (yes, no). Heterogeneity among studies was evaluated by using Q and I2 (Higgins and Thompson, 2002) statistics. The Egger’s regression asymmetry test was used to assess the publication bias (Egger et al, 1997). All analyses were conducted using Stata, version 10.1 (Stata Corp., College Station, TX, USA) and SAS software version 9.2 (SAS Institute Inc., Cary, NC, USA). P<0.05 (two-sided) was considered statistically significant.
Results
A total of 252 articles were extracted by querying PubMed, EMBASE, and MEDLINE through August 2011 (Figure 1). In all, 174 articles did not examine the association between alcoholic beverage intake and renal cell cancer, 40 were reviews, and 3 were letter, comment, or editorial. Out of 35 articles that examined the association between alcoholic beverage intake and renal cell cancer, 18 were excluded because of data overlap (n=15), the absence of RRs (n=1), assessment of alcoholism as exposure (n=1), and kidney cancer death (n=1). Seven additional studies were identified from the references of the retrieved articles. As a result, 20 case–control studies, 3 cohort studies, and 1 pooled analysis of cohort studies were included in this meta-analysis.
Study characteristics such as country, study design, dates, age, alcohol assessment, unit of alcohol, amount of intake in the beverage for top and bottom categories, outcome/endpoint, number of cases or controls or cohort size, and potential confounders controlled are presented (Tables 1 and 2). A total of 13 819 incident renal cell cancer cases and 1537 incident kidney cancer cases were included in this meta-analysis. Three of twenty-four studies examined incidence of kidney cancer (Wynder et al, 1974; Hsu et al, 2007; Benedetti et al, 2009) and the others examined incidence of renal cell cancer (McLaughlin et al, 1984; Goodman et al, 1986; Asal et al, 1988; Brownson, 1988; Maclure and Willett, 1990; Benhamou et al, 1993; Kreiger et al, 1993; Hiatt et al, 1994; Muscat et al, 1995; Wolk et al, 1996; Boeing et al, 1997; Yuan et al, 1998; Mattioli et al, 2002; Parker et al, 2002; Greving et al, 2007; Lee et al, 2007; Setiawan et al, 2007; Hu et al, 2008; Pelucchi et al, 2008; Allen et al, 2011; Lew et al, 2011). All studies were conducted in the North America and Europe. The alcoholic beverage intake of participations in each study was assessed by using food frequency questionnaire (FFQ), interview, or self-administered questionnaire. The estimates for both men and women were reported in 17 studies. Specific alcoholic beverages were examined in 15 studies. A pooled analysis combined the original data from 12 prospective studies (Lee et al, 2007) conducted in the USA, Finland, Canada, the Netherlands, and Sweden and a multi-centre case–control study (Wolk et al, 1996) combined 4 case–control studies conducted in the Australia, Denmark, Sweden, and USA. Out of 24 studies, all studies adjusted for age, and 14 studies further adjusted for obesity. Smoking status was adjusted for 19 studies. Hypertension status was adjusted for seven studies. Nineteen of twenty-two studies that reported the amount of alcoholic beverage or ethanol as an exposure considered never or non-drinker as the reference and the other 3 studies selected the reference group of 0 or 1 drinks per day (Allen et al, 2011), low to 1 cup per week (Maclure and Willett, 1990), or <1 drink per week (Wolk et al, 1996). The ranges in the top category across studies were from 5 to 120 g per day.
We found a decreased risk of renal cell cancer with alcoholic beverage intake; combined RR (95% CI) comparing top with bottom category was 0.73 (0.67–0.79) for total alcoholic beverage intake (Figure 2). There was no significant heterogeneity across the studies (P for heterogeneity=0.34). A stronger inverse association was observed in cohort studies compared with case–control studies (P for difference=0.02); combined RRs (95% CIs) were 0.76 (0.68–0.85) for case–control studies and 0.71 (0.63–0.78) for cohort studies. When we examined the association by study period (before or after 2000), we found a stronger inverse association for recent studies; comparing top with bottom category, RRs were 0.85 (95% CI, 0.72–0.98; P for heterogeneity=0.32) for earlier studies and 0.70 (95% CI, 0.64–0.76; P for heterogeneity=0.63) for recent studies.
When we examined specific alcoholic beverages (Table 3), we found that intakes of all three beverage types significantly lowered risk of renal cell cancer. Notably, these inverse associations for each type of alcoholic beverage were observed in both case–control and cohort studies, and the magnitude of the association was similar across three types of alcoholic beverages. There was no evidence of publication bias based on the Egger’s test for beer, wine, or liquor (P>0.19).
When we examined whether the associations differed by gender, adjustment for smoking status, or adjustment for hypertension status, the associations did not vary by these factors (Table 4).
When we examined for non-linearity of the association using the regression cubic spline, we observed a significant non-linearity for overall association between ethanol intake and renal cell cancer. The degree of decline in the risk of renal cell cancer appeared to be attenuated above ∼15 g per day (P for non-linearity<0.001) (Figure 3A). We also found a significant or suggestive non-linearity for case–control and cohort studies (P-values for non-linearity=0.03 for case–control studies and 0.10 for cohort studies; Figures 3B and C).
Discussion
We observed that alcoholic beverage intake was inversely associated with risk of renal cell cancer in this comprehensive meta-analysis. The inverse association was stronger for cohort studies compared with case–control studies. The inverse associations were consistent across specific alcoholic beverages, suggesting that ethanol per se is most likely the responsible factor. We also found that alcoholic beverage intake lowered risk of renal cell cancer for both men and women. Notably, our spline analysis showed that ∼15 g per day of ethanol intake could pose a decrease in renal cell cancer risk, but additional drinking did not confer further benefit in the prevention of renal cell cancer.
The magnitude of the association was stronger for cohort studies than case–control studies. Recall bias or selection bias in case–control studies may attenuate the association between alcoholic beverage intake and renal cell cancer risk because alcoholic beverage could be overestimated among cases or underestimated among controls. A stronger inverse association for recent studies compared with earlier studies that we observed also could be partly explained by recall or selection bias because all the studies published before 2000 were case–control studies. Also, our meta-analysis of specific type of alcoholic beverage supports the evidence that the benefits associated with alcoholic beverage intake were similar for beer, wine, and liquor.
The possible mechanism by which alcoholic beverage intake reduces the risk of renal cell cancer could be beneficial changes in insulin sensitivity or vasculature. Light to moderate alcohol consumption has been associated with improved insulin sensitivity (Facchini et al, 1994; Davies et al, 2002; Joosten et al, 2008). Increased risk of renal cell cancer among diabetic (Lindblad et al, 1999; Joh et al, 2011) or obese individuals (Chow et al, 2000; Adams et al, 2008) may suggest that factors contributing to the development of insulin resistance are important determinants for renal cell cancer risk. Alcoholic beverage intake may increase high-density lipoprotein cholesterol levels or decrease blood clotting (Booyse et al, 2007) in blood vessels surrounding kidney, a vascular-rich organ.
Our meta-analysis had some limitations. Residual confounding by un-adjustment for confounding factors or inadequate measurement of covariates cannot be ruled out, although the significant inverse association was observed for those adjusted for smoking status and hypertension. Measurement error in assessment of alcoholic beverage intake could attenuate or de-attenuate the association, but the consistent significant inverse associations by different study design, specific types of alcoholic beverage, and gender may not support the possibility that measurement error fully explained our findings in this meta-analysis. The wider CIs observed at heavy alcoholic beverage intake in our spline analysis warrants further studies because of the limited number of renal cell cancer cases for heavy drinking.
In conclusion, we found that alcoholic beverage intake lowered the risk of renal cell cancer with the greatest reduction at the moderate level, but suggesting the evidence that drinking >15 g per day of ethanol does not confer additional benefit for prevention in renal cell cancer risk. Also, reduction of risk was not restricted to any specific type of alcoholic beverages. Moderate alcohol drinking may confer health benefits in the overall survival (Di Castelnuovo et al, 2006), cardiovascular disease (Rimm et al, 1996), and overall health status among elderly (Sun et al, 2011). However, drinking guidelines for men and women from various countries generally limit alcohol drinking to 1–2 standard units of drink (ICAP, 2009) because excessive drinking is associated with increased the risk of birth defects, injury, hypertension, stroke, type 2 diabetes, cancers of oral cavity and pharynx, oesophagus and larynx, stomach, colon and rectum, liver, breast, and ovary (Bagnardi et al, 2001; Reynolds et al, 2003; Baliunas et al, 2009; Taylor et al, 2009; Rehm et al, 2010). Along with the potential for health benefit and risks associated with alcohol consumption, our finding provides the evidence that light to moderate alcohol drinking is enough to reduce renal cell cancer risk without additional benefit above the level of one drink.
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Acknowledgements
This work was supported by the Sookmyung Women’s University Research Grant (2010) and the Brain Korea 21 (BK 21) Project from the Ministry of Education and Human Resources Development, Republic of Korea. We thank Dr Setiawan for the data provision.
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Song, D., Song, S., Song, Y. et al. Alcohol intake and renal cell cancer risk: a meta-analysis. Br J Cancer 106, 1881–1890 (2012). https://doi.org/10.1038/bjc.2012.136
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DOI: https://doi.org/10.1038/bjc.2012.136
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