Literature DB >> 26766916

Dairy consumption and lung cancer risk: a meta-analysis of prospective cohort studies.

Yi Yu1, Hui Li1, Kaiwu Xu2, Xin Li1, Chunlin Hu1, Hongyan Wei1, Xiaoyun Zeng1, Xiaoli Jing1.   

Abstract

BACKGROUND: Lung cancer risk is the leading cause of cancer-related deaths worldwide. We conducted a meta-analysis to evaluate the relationship between dairy consumption and lung cancer risk.
METHODS: The databases included EMBASE, Medline (PubMed), and Web of Science. The relationship between dairy consumption and lung cancer risk was analyzed by relative risk or odds ratio estimates with 95% confidence intervals (CIs). We identified eight prospective cohort studies, which amounted to 10,344 cases and 61,901 participants.
RESULTS: For milk intake, relative risk was 0.95 (95% CI: 0.76-1.15); heterogeneity was 70.2% (P=0.003). For total dairy product intake, relative risk was 0.96 (95% CI: 0.89-1.03), heterogeneity was 68.4% (P=0.004).
CONCLUSION: There was no significant association between dairy consumption and lung cancer risk.

Entities:  

Keywords:  dairy products; lung cancer; meta-analysis; milk

Year:  2015        PMID: 26766916      PMCID: PMC4699511          DOI: 10.2147/OTT.S95714

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Lung cancer is the leading cause of cancer-related deaths worldwide. According to recent estimates, lung cancer causes 1.1 million deaths each year.1,2 In spite of scientific and medical advances in this area, the survival rate of patients with lung cancer has not significantly improved. Therefore, it is crucial to identify lung cancer risk factors to develop and establish preventive strategies. Researchers have also focused on the effects of diet and on cancer development.3 Studies have shown that fruits, vegetables,4–8 and green tea9 have anticancer effects. However, other studies have not found any associations.10 The consumption of dairy products may play a significant role in tumorigenesis. Several meta-analyses have reported an association between dairy consumption and cancer risk, especially of the prostate and breast.11–13 Epidemiological studies6,14–20 examining the relationship between dairy consumption and lung cancer risk have produced conflicting results; four studies have reported positive associations with milk14–16,20 and another four with total dairy products,15–17,19 while two have reported negative associations with milk18,20 and another three with total dairy products.6,17,18 Given that the association between dairy consumption and lung cancer risk remains unclear, we conducted a meta-analysis21 to assess the relationship between dairy consumption and lung cancer risk. However, the association between dairy consumption and lung cancer risk is unknown and needs to be defined.

Methods

Study search strategy

We designed and performed a meta-analysis based on the Meta-Analysis Guidelines for epidemiological observational studies.22 The databases included EMBASE, Medline (PubMed), and Web of Science. The studies reviewed included case–control and cohort studies that evaluated the relationship between dairy consumption and lung cancer risk. The search terms were lung cancer, lung carcinoma, milk, dairy products, and total dairy foods.

Inclusion criteria

The inclusion criteria were: 1) human clinical trials published in English; 2) studies where dairy product consumption was the main exposure; 3) studies that presented the odds ratio (OR) or relative risk (RR) with 95% confidence interval (CI); and 4) prospective cohort studies.

Data extraction and quality assessment

The data extracted from the studies included the first author, year of publication, average follow-up time, study region, exposure time, number of cases, population characteristics, adjusted ORs, RRs, or hazard ratio (HR) with their 95% CIs and adjustments. Four publications6,15,16,19 reported separate RRs for different dairy products; therefore, the RR estimates with the maximum number of cases within each study were selected. To assess the quality of the study designs, we evaluated key components of the studies.22 We used Q and I2 statistics to estimate heterogeneity among the studies; any disagreements were resolved by discussion.

Data analyses

The association between total dairy product or milk consumption and lung cancer risk was assessed by RRs. Milk included whole/high-fat milk and skim/low-fat milk; total dairy products included cheese, ice cream, artificial butter, butter, margarine, yoghurt, and other dairy products. Where crude and adjusted RRs were provided, we used the adjusted RRs. The incidence of lung cancer in humans is low; therefore, the ORs were deemed to be equal to HRs and RRs. RRs and 95% CIs were estimated based on adjusted RRs or ORs for the highest versus the lowest dairy product intake. We used Q (P≤0.10) and I2 statistics to examine the homogeneity across studies23 and the fixed effects model when substantial heterogeneity was detected.24 Subgroup analyses were conducted on cases ≥300; subgroup analysis was performed when adjusting for smoking status and age. Additionally, we investigated the effect of a single study on the overall risk estimate. Data analyses were performed with STATA version 12.0 (StataCorp LP, College Station, TX, USA). P<0.05 was considered to be statistically significant. We used Egger’s linear regression and Begg’s rank correlation methods to evaluate potential publication bias.25,26

Results

Studies

Figure 1 illustrates detailed steps of study selection. A total of eight studies were included in our meta-analysis.
Figure 1

Search strategy and selection of studies for inclusion in the meta-analysis.

Abbreviation: TDF, total dairy food.

Study characteristics

The characteristics of the eight studies are presented in Table 1. The studies were published in 1996–2014. Six studies were performed in Europe, one was conducted in the USA, and one was performed in Iran. The number of participants varied from 479 to 53,570, with a total of 58,997 subjects, and the lung cancer cases ranged from 124 to 4,287, with a total of 8,857 cases. Among the eight studies, seven reported data on total dairy product intake and seven reported data on milk intake. The follow-up ranged from 3 to 65 years, with a median follow-up of 4.5 years. Most studies were matched or adjusted for family history, body mass index, total energy intake, and age.
Table 1

Characteristics of the eight prospective cohort studies included in the meta-analysis

ReferencePopulationDuration (years)No of casesAssessmentExposureConsumption levelsOR or RR (95% CI)Adjustment for potential confounders
Axelsson et al141,286; age: ≥75 years; Scandinavian4308QMilkHigh vs low1.73 (1–3.01)Age, number of cigarettes/day, number of years smoking cigarettes (continuous variables), marital status (four classes) and socioeconomic job classification (seven classes), smoking status, fruit and vegetable consumption
Nyberg et al15479; age: ≥30 years never-smokers; Stockholm6124124Q&FFQMilkTDF≥2 vs 0 glasses/dayHigh vs low1.24 (0.71–2.17)1.21 (0.61–2.39)Sex, age, smoking status, residence (urban vs rural), occupational exposure, fruit consumption
Hosseini et al16754; age: ≥75 years; Iran3482482QMilkTDFUpper third vs lower thirdUpper third vs lower third2.64 (1.54–4.51)2.94 (1.79–4.82)Family history of lung cancer, total energy intake, smoking status, BMI
Park et al1753,570 AARP members; age: 50–71 years74,2872,457QQTDFTDFQ5 vs Q1Q5 vs Q11.05 (0.95–1.16) (men)0.92 (0.81–1.04) (women)Race/ethnicity, education, marital status, BMI, family history of lung cancer, physical activity, alcohol consumption, red meat intake, total energy intakeRace/ethnicity, BMI, maternal age at first delivery, number of children, age at menopause, education, marital status, family history of lung cancer, physical activity, MHT use, smoking status, and intakes of red meat, alcohol, fat, and total energy
Rachtan19594; median age: 61 years; Cracow6242QTDFHigh vs low1.62 (0.94–2.81)Age, smoking status, alcohol consumption (beer and vodka), siblings with cancer, tuberculosis, place of residence, occupational exposure
Axelsson et al201,452; lung cancer patients; age: ≥75 years; Scandinavian53177359FFQMilkMilkHigh vs lowHigh vs low1.9 (1.1–3.3) (women)1.9 (1.3–2.9) (men)Age (continuous variable), number of cigarettes smoked per day (four classes), number of years smoking cigarettes (five classes), marital status (four classes), consumption of vegetables, fruits, and milk
Brennan et al61,551; age: 0–75 years3496500FFQTDFMilkHigh vs lowHigh vs low0.7 (0.5–1.0)0.8 (0.6–1.2)Age and sex
Van der Pols et al182,215; average age: 8 years; United Kingdom65153153QTDFMilk≥1.2 vs <0.5 cups/day>1.2 cups vs <0.5 cup0.66 (0.39–1.10)0.65 (0.40–1.08)Age, weight, height, region, season, and intake of total energy, fruits, and vegetables

Abbreviations: BMI, body mass index; CI, confidence interval; FFQ, Food Frequency Questionnaire; Q, quintile; OR, odds ratio; RR, relative risk; TDF, total dairy food; No, number; AARP, American Association of Retired Persons; MHT, menopausal hormone therapy.

Main results

Total dairy intake was inconsistent among seven studies. For the final RR, the highest versus the lowest total dairy consumption was 0.96 (95% CI: 0.89–1.03); heterogeneity was 68.4% (P=0.004). Total milk intake was similarly inconsistent among the seven studies. The final RR was 0.95 (95% CI: 0.76–1.15); heterogeneity was 70.2% (P=0.003). The pooled RRs for the highest versus the lowest total milk intake and total dairy food consumption and lung cancer risk are shown in Figures 2 and 3. Based on the results, there was no significant association between dairy consumption and lung cancer risk.
Figure 2

Forest plot of studies examining the association between milk intake and lung cancer risk.

Abbreviations: CI, confidence interval; ES, effect size; ID, identification.

Figure 3

Forest plot of studies examining the association between total dairy product intake and lung cancer risk.

Abbreviations: CI, confidence interval; ES, effect size; ID, identification.

Subgroup analyses

Table 2 shows the results of the subgroup analyses. We conducted a subgroup analysis for dairy product consumption after adjusting for smoking status and age. For total dairy product and milk consumption, there was no significant association with lung cancer risk. A sensitivity analysis revealed that RR ranged from 0.66 (95% CI: 0.39–1.10) to 2.94 (95% CI: 1.79–4.82) for total dairy food consumption and from 0.65 (95% CI: 0.40, 1.08) to 2.64 (95% CI: 1.54–4.51) for milk consumption.
Table 2

RRs of lung cancer in relation to milk and total dairy food consumption

GroupTotal dairy food
Milk
No of studiesRR (95% CI)PheterogeneityI2 (%)No of studiesRR (95% CI)PheterogeneityI2 (%)
Total cases70.96 (0.89–1.03)0.00468.470.95 (0.76–1.15)0.00370.2
 >30040.97 (0.90–1.04)0.00378.541.05 (0.78–1.31)0.00477.2
 ≤30030.83 (0.52–1.14)0.11553.730.84 (0.54–1.14)0.05266.2
Adjustments in models
 Smoking40.95 (0.83–1.06)0.02767.351.71 (1.29–2.13)0.488<0.01
 Age40.75 (0.56–0.95)0.19136.960.92 (0.72–1.12)0.01066.9

Abbreviations: CI, confidence interval; RR, relative risk; No, number.

Discussion

To the best of our knowledge, this is the first meta-analysis to investigate dairy consumption and lung cancer risk. We found that for milk intake, the RR was 0.95 (95% CI: 0.76–1.15) and the heterogeneity was 70.2% (P=0.003). For total dairy product intake, the RR was 0.96 (95% CI: 0.89–1.03) and the heterogeneity was 68.4% (P=0.004). Subgroup analysis for dairy product consumption suggested that there was no significant association with lung cancer risk. Dairy consumption may play a role in cancer development.27 However, the evidence from observational studies is inconclusive. The mechanism of any relationship between the consumption of dairy products and the risk of lung cancer remains unclear. There are reports of associations between lung cancer and insulin-like growth factor I,28,29 poor vitamin D status,30,31 and polychlorinated biphenyls,32–34 suggesting possible roles for these factors in tumorigenesis. Previous analyses have led to conflicting findings regarding the association of dairy consumption and lung cancer risk. Two analyses have provided evidence that excess of 25-hydroxy vitamin D may be associated with a reduced risk of lung cancer, especially in subjects with vitamin D deficiency.35,36 Our meta-analysis had several strengths. To improve the statistical power, we included several studies, all of which had a prospective cohort design. This design minimizes selection bias and recall, which is a limitation of retrospective studies. However, there were several limitations in our study. The number of studies included was relatively small, and only studies written in English were considered. Additionally, it is possible that there were unexamined or uncontrolled confounding factors in the included studies, for example, smoking, which is known to be an important risk factor for lung cancer.37–39 There was heterogeneity across the studies in terms of total dairy product and milk consumption, which is not surprising considering the differences in the study designs and in the study populations. Heterogeneity may also have been a consequence of different durations of exposure to dietary products and different dietary habits. In conclusion, our meta-analysis, which involved eight studies, revealed no significant association between dairy consumption and lung cancer risk. Large cohort studies were adjusted to take account of potential confounding factors, including total energy intake, body mass index, age, and other dietary factors, which are highly correlated with milk and/or total dairy consumption. Further well-designed studies are required.
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1.  A multicenter case-control study of diet and lung cancer among non-smokers.

Authors:  P Brennan; C Fortes; J Butler; A Agudo; S Benhamou; S Darby; M Gerken; K H Jökel; M Kreuzer; S Mallone; F Nyberg; H Pohlabeln; G Ferro; P Boffetta
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Authors:  R DerSimonian; N Laird
Journal:  Control Clin Trials       Date:  1986-09

3.  Operating characteristics of a rank correlation test for publication bias.

Authors:  C B Begg; M Mazumdar
Journal:  Biometrics       Date:  1994-12       Impact factor: 2.571

Review 4.  Breast cancer statistics, 2011.

Authors:  Carol DeSantis; Rebecca Siegel; Priti Bandi; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2011-10-03       Impact factor: 508.702

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Authors:  G Axelsson; T Liljeqvist; L Andersson; B Bergman; R Rylander
Journal:  Int J Epidemiol       Date:  1996-02       Impact factor: 7.196

6.  Dietary habits and lung cancer risk among Polish women.

Authors:  Jadwiga Rachtan
Journal:  Acta Oncol       Date:  2002       Impact factor: 4.089

7.  Milk consumption is a risk factor for prostate cancer: meta-analysis of case-control studies.

Authors:  Li-Qiang Qin; Jia-Ying Xu; Pei-Yu Wang; Takashi Kaneko; Kazuhiko Hoshi; Akio Sato
Journal:  Nutr Cancer       Date:  2004       Impact factor: 2.900

8.  A national survey of persistent, bioaccumulative, and toxic (PBT) pollutants in the United States milk supply.

Authors:  John Schaum; Laurie Schuda; Chieh Wu; Rhonda Sears; Joe Ferrario; Kimberlea Andrews
Journal:  J Expo Anal Environ Epidemiol       Date:  2003-05

9.  Polychlorinated biphenyls, cytochrome P450 1A1 (CYP1A1) polymorphisms, and breast cancer risk among African American women and white women in North Carolina: a population-based case-control study.

Authors:  Yu Li; Robert C Millikan; Douglas A Bell; Lisa Cui; Chiu-Kit J Tse; Beth Newman; Kathleen Conway
Journal:  Breast Cancer Res       Date:  2004-10-22       Impact factor: 6.466

10.  Heavy smoking and lung cancer: are women at higher risk? Result of the ICARE study.

Authors:  A Papadopoulos; F Guida; K Leffondré; S Cénée; D Cyr; A Schmaus; L Radoï; S Paget-Bailly; M Carton; G Menvielle; A-S Woronoff; B Tretarre; D Luce; I Stücker
Journal:  Br J Cancer       Date:  2014-01-14       Impact factor: 7.640

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Journal:  Food Nutr Res       Date:  2016-11-22       Impact factor: 3.894

2.  Dairy product consumption and development of cancer: an overview of reviews.

Authors:  Maya M Jeyaraman; Ahmed M Abou-Setta; Laurel Grant; Farnaz Farshidfar; Leslie Copstein; Justin Lys; Tania Gottschalk; Danielle Desautels; Piotr Czaykowski; Marshall Pitz; Ryan Zarychanski
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