Literature DB >> 25637171

Coffee and tea consumption and risk of pre- and postmenopausal breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort study.

Nirmala Bhoo-Pathy1,2,3, Petra H M Peeters4,5, Cuno S P M Uiterwaal6, H Bas Bueno-de-Mesquita7,8,9,10, Awang M Bulgiba11, Bodil Hammer Bech12, Kim Overvad13, Anne Tjønneland14, Anja Olsen15, Françoise Clavel-Chapelon16,17, Guy Fagherazzi18,19, Florence Perquier20,21, Birgit Teucher22, Rudolf Kaaks23, Madlen Schütze24, Heiner Boeing25, Pagona Lagiou26, Philippos Orfanos27, Antonia Trichopoulou28,29, Claudia Agnoli30, Amalia Mattiello31, Domenico Palli32, Rosario Tumino33, Carlotta Sacerdote34, Franzel J B van Duijnhoven35,36, Tonje Braaten37, Eiliv Lund38, Guri Skeie39, María-Luisa Redondo40, Genevieve Buckland41, Maria José Sánchez Pérez42,43, Maria-Dolores Chirlaque44,45, Eva Ardanaz46,47, Pilar Amiano48,49, Elisabet Wirfält50, Peter Wallström51, Ingegerd Johansson52, Lena Maria Nilsson53, Kay-Tee Khaw54, Nick Wareham55, Naomi E Allen56, Timothy J Key57, Sabina Rinaldi58, Isabelle Romieu59, Valentina Gallo60,61, Elio Riboli62, Carla H van Gils63.   

Abstract

INTRODUCTION: Specific coffee subtypes and tea may impact risk of pre- and post-menopausal breast cancer differently. We investigated the association between coffee (total, caffeinated, decaffeinated) and tea intake and risk of breast cancer.
METHODS: A total of 335,060 women participating in the European Prospective Investigation into Nutrition and Cancer (EPIC) Study, completed a dietary questionnaire from 1992 to 2000, and were followed-up until 2010 for incidence of breast cancer. Hazard ratios (HR) of breast cancer by country-specific, as well as cohort-wide categories of beverage intake were estimated.
RESULTS: During an average follow-up of 11 years, 1064 premenopausal, and 9134 postmenopausal breast cancers were diagnosed. Caffeinated coffee intake was associated with lower risk of postmenopausal breast cancer: adjusted HR=0.90, 95% confidence interval (CI): 0.82 to 0.98, for high versus low consumption; Ptrend=0.029. While there was no significant effect modification by hormone receptor status (P=0.711), linear trend for lower risk of breast cancer with increasing caffeinated coffee intake was clearest for estrogen and progesterone receptor negative (ER-PR-), postmenopausal breast cancer (P=0.008). For every 100 ml increase in caffeinated coffee intake, the risk of ER-PR- breast cancer was lower by 4% (adjusted HR: 0.96, 95% CI: 0.93 to 1.00). Non-consumers of decaffeinated coffee had lower risk of postmenopausal breast cancer (adjusted HR=0.89; 95% CI: 0.80 to 0.99) compared to low consumers, without evidence of dose-response relationship (Ptrend=0.128). Exclusive decaffeinated coffee consumption was not related to postmenopausal breast cancer risk, compared to any decaffeinated-low caffeinated intake (adjusted HR=0.97; 95% CI: 0.82 to 1.14), or to no intake of any coffee (HR: 0.96; 95%: 0.82 to 1.14). Caffeinated and decaffeinated coffee were not associated with premenopausal breast cancer. Tea intake was neither associated with pre- nor post-menopausal breast cancer.
CONCLUSIONS: Higher caffeinated coffee intake may be associated with lower risk of postmenopausal breast cancer. Decaffeinated coffee intake does not seem to be associated with breast cancer.

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Year:  2015        PMID: 25637171      PMCID: PMC4349221          DOI: 10.1186/s13058-015-0521-3

Source DB:  PubMed          Journal:  Breast Cancer Res        ISSN: 1465-5411            Impact factor:   6.466


Introduction

Coffee and tea are the most popular beverages consumed worldwide, rendering them as relevant dietary exposures [1]. Coffee and tea consumption may protect against breast cancer through anticarcinogenic properties of their biochemical compounds such as caffeine, polyphenols and diterpenes [2-4] or through favorably altering the levels of hormones implicated in breast cancer [5-9]. While polyphenols, including flavonoids, may mimic estradiol structure and, hence, antagonize estrogen action, paradoxically, they may also bind weakly to estrogen receptors and promote estrogen-dependent transcription [10]. A major systematic review by the World Cancer Research Fund and American Institute for Cancer Research had concluded that for the association between coffee and tea intake and pre- and postmenopausal breast cancer, evidence did not allow for definite conclusions [11]. A minority of studies that distinguished between types of coffee consumed showed contradictory results for decaffeinated coffee [12]. Nevertheless, it is conceivable that different types of coffee are associated with opposing effects on cancer risk owing to differences in their constituents. For instance, decaffeinated coffee may contain very low levels of caffeine (up to 0.1%) [13]. Therefore, it is pertinent to further explore the effects arising from differing caffeine levels in caffeinated and decaffeinated coffee. Premenopausal and postmenopausal breast cancers have been argued for some time to be diseases with somewhat different etiologies [14,15], and it is conceivable that dietary factors may impact the risk of pre- and postmenopausal breast cancer differently [16]. It has also been recently hypothesized that breast cancer comprises two fundamental etiological components, which are to a certain extent defined by estrogen receptor expression by age at diagnosis. Therefore, it has been proposed that in large-scale population based studies, etiological analyses for breast cancer should be stratified according to molecular subtypes [17]. To date, relatively few studies have differentiated between pre- and postmenopausal breast cancers [12,18,19] or investigated the association between coffee and tea intake with breast cancer based on estrogen receptor (ER) and progesterone receptor (PR) status [12,18,19]. The results have been overall inconsistent and may be attributed to the fact that most studies were hampered by limited numbers of cases [12,18,20]. We determined the association between coffee (total, decaffeinated and caffeinated) and tea consumption with risk of pre- and postmenopausal breast cancer within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort [21]. Distinction was also made between breast cancers by hormone receptor status.

Methods

The EPIC study is an on-going multi-center prospective cohort study aimed at investigating the association between diet, lifestyle, genetic and environmental factors and the development of cancer and other chronic diseases. It consists of 521,448 men and women, followed-up for cancer incidence and cause-specific mortality for several decades. There are 23 EPIC centers in 10 European countries, that is, Denmark, France, Germany, Greece, Italy, Netherlands, Norway, Spain, Sweden, and United Kingdom. Details have been described elsewhere [21]. At enrollment between 1992 and 2000, information on habitual diet in the preceding year was collected through a questionnaire in most countries. Lifestyle questionnaires were used for information on education, reproductive history, use of oral contraceptives and hormone therapy, family history, medical history, physical activity and history of consumption of alcohol and tobacco [21].

Study participants

This study pertains to female participants of the EPIC cohort between 25- and 70-years old at recruitment. We excluded participants with prior history of cancer, incomplete dietary/non-dietary information, and poorly completed questionnaires based on their ratio of energy intake versus energy expenditure (bottom 1% or top 1% of the cohort), leaving 335,060 women. All participants provided written informed consent. The study was approved by the International Agency for Research on Cancer (IARC)’s ethical review committee and by the respective local ethical committees.

Exposure assessment

Diet was assessed using country-specific questionnaires [21], namely self-administered semi-quantitative food-frequency questionnaires (±260 food items), dietary history questionnaires (>600 food items) administered by interviewers, and semi-quantitative food-frequency questionnaires combined with a food record. Further details on questionnaires and their validation are described elsewhere [22]. As the exact structure of the questions varied by center and questionnaire, complete information on caffeinated and decaffeinated coffee intake was available only in Germany, Greece, Italy (except Ragusa and Naples), the Netherlands, Norway, Spain, Sweden (except Umea), and the United Kingdom. Analyses of caffeinated and decaffeinated coffee consumption only included women with complete information on type of coffee intake, that is, those whose different types of coffee intakes added up to their total coffee intake. For caffeinated coffee consumption, 226,368 participants were included. Since none of the participants in Norway and Sweden consumed decaffeinated coffee, they were excluded from analysis for decaffeinated coffee consumption, leaving 176,373 participants. Information on tea intake was not available in Norway, leaving 299,890 participants. As the cohort consists of multiple populations with a wide range of variation in terms of volume and concentration of coffee and tea intake, country specific quartiles for these beverages were estimated based on distribution of intake within each country, after excluding the non-consumers. This yielded the following intake categories for total coffee, caffeinated coffee and tea: none, low, moderately low, moderately high, and high. As decaffeinated coffee intake was less common, we used tertiles of intake for the consumers and intake categories were: none, low, medium, and high.

Ascertainment of breast cancer cases

The outcome of interest was first incident of primary invasive breast cancer (coded using International Classification of Diseases for Oncology, Second Edition as C50.0-C50.9). As data on menopausal status at diagnosis was lacking, breast cancers occurring before the median menopausal age of 50 years were considered premenopausal, whereas those diagnosed at 50 years or older were considered postmenopausal. Information on hormone receptor status was provided by each center based on pathology reports. This information was routinely available for tumors diagnosed after 1997 to 2006, depending on the center.

Follow-up

Follow-up was based on linkage with population cancer registries in Denmark, Italy, Netherlands, Norway, Spain, Sweden and the United Kingdom. In France, Germany and Greece, combined methods including health insurance records, cancer and pathology registries, and active follow-up were used. Censoring dates for most centers depended on the dates at which cancer registries were considered complete (varying from December 2004 in Spain to December 2008 in Italy). In Germany, Greece and France where active follow-up was undertaken, dates of censoring were up to March 2010, December 2009, and July 2005, respectively. Loss to follow-up was less than 4%.

Statistical analysis

Multivariable Cox regression was used to examine the association between coffee or tea consumption and risk of breast cancer. Time at entry was age at recruitment, and exit time was age at diagnosis with breast cancer as first tumor, death, emigration, loss to follow-up, or end of follow-up. The non-zero slope of the scaled Schoenfeld residuals on the time function suggested that the proportional hazard assumption was met. All analyses were stratified by age at recruitment in one-year categories and by centers to control for differences in recruitment or follow-up procedures and questionnaire design. We studied consumption of beverages both as categorical and continuous (increment of 100 ml/day) variables. Non-consumers of coffee comprised a relatively small group (<10%) and seemed to have some unique health behaviors: they were less likely to have ever smoked, consume alcohol, or to have ever used oral contraceptives, and they were more likely to be physically inactive compared to the rest of the study population. We, therefore, used the low coffee consumers as the reference group in the categorical data analysis. To test for linear trends, the categories were entered as a continuous term (score variable: 0,1,2,3,4) in the Cox model. Since most coffee consumers tend to consume caffeinated as well as decaffeinated coffee, we additionally cross-classified coffee intakes in relation to breast cancer. This yielded eight categories, of which (any) decaffeinated coffee consumers with low caffeinated coffee intake comprised the largest group and was hence chosen as the reference for reasons of statistical robustness. Two separate Cox models were fitted for pre- and postmenopausal breast cancers (Additional file 1). Both models were adjusted for age at menarche (categorical: <12, 12 to 4, >15 years), ever use of oral contraceptives (yes/no), age at first delivery (categorical: nulliparous, <20, 20 to 29, 30 to 39, ≥40 years), ever breastfeeding (yes/no), smoking status (categorical: never, past, current), educational level (categorical: none, primary school, technical/professional school, secondary school, university), physical activity level based on the Cambridge Physical Activity Index [23] (categorical: inactive, moderately inactive, moderately active, active), alcohol intake (continuous), height (continuous), weight (continuous), energy intake from fat source (continuous), energy intake from non-fat source (continuous), total saturated fat intake (continuous), and total fiber intake (continuous). The model for postmenopausal breast cancer was additionally adjusted for ever-use of postmenopausal hormones (yes/no). Importantly, coffee and tea intake were mutually adjusted for one another while models for caffeinated and decaffeinated coffee were also mutually adjusted. As data on hormone receptor status was only available in breast cancer cases diagnosed after 1997 to 2006, depending on the center, it is mainly the postmenopausal cases that had receptor status available (77.2%) and only about half of the premenopausal cases (58.6%). Hormone-receptor defined analyses were, hence, only done among postmenopausal breast cancers and were not possible within premenopausal breast cancers. As a form of sensitivity analysis, we also analyzed beverage intake using categories based on the overall cohort instead of country specific intake. To improve comparability across centers, dietary intake was calibrated by a 24-hour dietary recall method common to all centers, in a random sub-sample of 8% of the cohort at baseline (Additional file 1) [24,25]. Heterogeneity of the association according to hormone receptor status was assessed using a data-augmentation method described by Lunn and McNeil [26]. Effect modification by body mass index [27] and country were assessed, and several sensitivity analyses were conducted (Additional file 1). Two-tailed P-values <0.05 and 95% confidence intervals (CI) for hazard ratios (HRs) not including 1 were considered statistically significant. All analyses were performed using SAS version 9.1 (SAS Institute Inc, Cary, NC, USA).

Results

A great majority of the study participants consumed coffee, with a median total coffee intake ranging from 93 ml/day in Italy to 900 ml/day in Denmark (not shown). Decaffeinated coffee was consumed by about 50% of the study population. Median decaffeinated coffee intake ranged from 2 ml/day in Spain and United Kingdom to 140 ml/day in France. Tea was consumed by approximately 66% of the total cohort resulting in a median intake ranging from close to 0 ml/day in Greece to up to 475 ml/day in United Kingdom. The mean age at recruitment was 51 years with 43% of the participants being postmenopausal. Based on body mass index (BMI) classification by the World Health Organization, 58% of participants were of normal weight, 29% overweight and 13% obese. Compared to the low coffee consumers, those with high coffee consumption were more likely to have ever smoked, used oral contraceptives, be physically active, and consumed more alcohol but less tea (Table 1). They were also more likely to comprise women attaining early menarche, and those with very young age at first childbirth (<20 years). In contrast, participants with high decaffeinated coffee intake were less likely to have used oral contraceptives, and more likely to be postmenopausal, and use hormone replacement therapy, compared to the low consumers. They also less frequently attained tertiary education, and were more likely to have breastfed their offspring. However, compared to non-consumers, consumers of (any) decaffeinated coffee were more likely to have attained tertiary education, be physically active, be non-smokers, and less likely to be very young at first childbirth (not shown). Compared to low tea intake, those with high tea intake were more likely to be older at recruitment, have higher education status, be more active physically, use more oral contraceptives, be older at first delivery, be postmenopausal, and use hormone replacement therapy.
Table 1

Distribution of risk factors according to levels of consumption of coffee (total, caffeinated and decaffeinated) and tea

Total Coffee (total) a Coffee caffeinated b Coffee decaffeinated c Tea d
Low intake e High intake e Low intake e High intake e Low intake f High intake f Low intake e High intake e
Age at recruitment (mean (years))515150495047504952
Familial breast cancer (%)g 8.38.67.99.59.010.69.99.69.3
Age at menarche (% <12 years)15.013.617.113.315.616.517.515.814.7
Oral contraceptive use (% ever)58.758.161.365.268.471.567.862.667.1
Nulliparity (%)4.15.34.16.84.66.23.74.03.0
Age at first delivery (% < 20 years)h 14.813.418.113.218.010.111.115.212.3
Breastfed offsprings (% ever)72.271.172.473.774.960.766.766.368.5
Postmenopausal (%)43.443.138.538.638.534.942.040.445.7
Menopausal hormone use (% ever)26.025.725.626.928.519.524.023.231.6
Education (% university)23.625.122.728.623.437.629.133.237.7
Smokers (% ever)42.035.654.640.557.640.343.643.542.1
Physically inactivei (%)24.325.622.819.319.119.418.921.216.4
BMI (mean (kg/m2))25.024.825.224.224.924.224.924.824.1
Alcohol intake (median (g/day))3.62.94.23.24.74.54.04.25.2
Energy intake (mean (kcal/day))193118632008183519681892191919062003
Fat intake (mean (g/day))252426232422222523
Fruits intake (mean (g/day))250249245232216254261255244
Vegetable intake (mean (g/day))219214227204196238236231227
Tead intake (median (ml/day))2914115235623812814
Coffeej intake (median (ml/day))290707502019081376150

aIncludes all 335,060 participants. bIncludes 226,368 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Norway (n = 35,170), Spain (n = 6,589), Sweden (n = 14,825), and United Kingdom (n = 52,544). cIncludes 176,373 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Spain (n = 6,589), and United Kingdom (52,544). Participants from Norway and Sweden are all non-consumers of decaffeinated coffee and were excluded. dIncludes 299,890 participants. Participants from Norway were excluded as their information on tea intake is not available. eCut-off points are based on country specific quartiles of beverage intake after exclusion of non-consumers; low: quartile 1, high: quartile 4. fCut-off points are based on country specific tertiles of decaffeinated coffee intake after exclusion of non-consumers; low: tertile 1, high: tertile 3. gIn first degree relative (available for 43% of women). hOnly for parous women. iUsing Cambridge Physical Activity Index. jFor caffeinated coffee categories, median decaffeinated coffee intake is given and vice versa.

Distribution of risk factors according to levels of consumption of coffee (total, caffeinated and decaffeinated) and tea aIncludes all 335,060 participants. bIncludes 226,368 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Norway (n = 35,170), Spain (n = 6,589), Sweden (n = 14,825), and United Kingdom (n = 52,544). cIncludes 176,373 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Spain (n = 6,589), and United Kingdom (52,544). Participants from Norway and Sweden are all non-consumers of decaffeinated coffee and were excluded. dIncludes 299,890 participants. Participants from Norway were excluded as their information on tea intake is not available. eCut-off points are based on country specific quartiles of beverage intake after exclusion of non-consumers; low: quartile 1, high: quartile 4. fCut-off points are based on country specific tertiles of decaffeinated coffee intake after exclusion of non-consumers; low: tertile 1, high: tertile 3. gIn first degree relative (available for 43% of women). hOnly for parous women. iUsing Cambridge Physical Activity Index. jFor caffeinated coffee categories, median decaffeinated coffee intake is given and vice versa. During an average 11 years of follow-up, 10,198 first incidences of primary invasive breast cancer were observed among 335,060 women. Of these, 1,064 were premenopausal breast cancers. Hormone receptor status was available in approximately 70% (7,053) of total breast cancer cases, out of which 50% were double hormone receptor positive tumors (ER+ PR+), followed by 33% of single hormone receptor positive tumors (ER+ or PR+), whereas 17% were double negative tumors (ER- PR-). Tables 2, 3, 4, 5 and 6 show the numbers of participants, cases, and multivariable adjusted HRs for each category of coffee (total, caffeinated, decaffeinated intake) and tea intake. For analysis of beverages as continuous value (per 100 ml increment), the observed and calibrated HRs were identical. We only present the observed HR.
Table 2

Total coffee consumption and risk of breast cancer a

Daily coffee intake Total No intake Low intake b Moderately low intake b Moderately high intake b High intake b P trend c Per 100 mls
Number of participants3350602673487501716847983869303
Number of breast cancers101988132542221325182112
Premenopausal breast cancers 106481246234251252
Adjusted Hazard Ratio (95% CI)d 1.08 (0.83-1.40)1.001.23 (1.02-1.48)1.11 (0.93-1.34)1.15 (0.96-1.39)0.2721.00 (0.98-1.03)
Postmenopausal breast cancers 91347322296197922671860
Adjusted Hazard Ratio (95% CI)e 1.02 (0.94-1.12)1.000.97 (0.91-1.03)0.97 (0.92-1.03)0.95 (0.89-1.01)0.0550.99 (0.98-0.99)
ER+ and PR+ breast cancers 3206285860670776615
Adjusted Hazard Ratio (95% CI)f 0.97 (0.84-1.11)1.000.96 (0.86-1.06)0.98 (0.88-1.08)0.91 (0.81-1.01)0.1870.99 (0.97-1.00)
ER- and PR- breast cancers 105293269222257211
Adjusted Hazard Ratio (95% CI)g 0.99 (0.78-1.26)1.000.84 (0.70-1.01)0.89 (0.74-1.06)0.86 (0.71-1.05)0.1350.99 (0.97-1.01)
Analysis by cohort-wide intake
Adjusted Hazard Ratio (95% CI)h 0.99 (0.76-1.29)1.001.01 (0.84-1.20)1.01 (0.83-1.83)1.09 (0.88-1.35)0.5011.00 (0.98-1.03)
Adjusted Hazard Ratio (95% CI)i 1.03 (0.94-1.13)1.000.99 (0.92-1.06)0.98 (0.91-1.05)0.95 (0.88-1.02)0.0670.99 (0.98-0.99)

aIncludes all 335,060 participants. bCut-off points are based on country specific quartiles of total coffee intake after exclusion of non-coffee consumers. c P for trend is computed by entering the categories as a continuous term (score variable: 0,1,2,3,4) in the Cox model. dIncluding only premenopausal breast cancers (that is, breast cancer diagnosed before the age of 50 years), and participants who were premenopausal at recruitment. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, and tea intake. eIncluding only postmenopausal breast cancers (excluding participants with premenopausal breast cancers). Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status at recruitment, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, and tea intake. fHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor positive and progesterone receptor positive postmenopausal breast cancers, fully adjusted as in model 5. gHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor negative and progesterone receptor negative postmenopausal breast cancers, fully adjusted as in model 5. hIncluding only premenopausal breast cancers. Using total coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 4. iIncluding only postmenopausal breast cancers. Using total coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 5. CI, confidence interval; ER, estrogen receptor; PR, progesterone receptor.

Table 3

Caffeinated coffee consumption and risk of breast cancer a

Daily caffeinated coffee intake Total No intake of caffeinated coffee Low intake b Moderately low intake b Moderately high intake b High intake b P trend c Per 100 mls
No. of participants226 3683559060772464294356540012
No. of breast cancers679410681783136013561227
Premenopausal breast cancers 724102189159133141
Adjusted Hazard Ratio (95% CI)d 1.14 (0.86-1.53)1.001.23 (0.97-1.55)1.01 (0.79-1.28)1.19 (0.93-1.53)0.5471.00 (0.97-1.03)
Postmenopausal cancers 60709661594120112231086
Adjusted Hazard Ratio (95% CI)e 1.00 (0.91-1.09)1.000.89 (0.82-0.97)0.97 (0.90-1.05)0.90 (0.82-0.98)0.0290.98 (0.97-1.00)
ER+ and PR+ subtype 2142386602363416375
Adjusted Hazard Ratio (95% CI)f 0.93 (0.80-1.08)1.000.85 (0.74-0.98)0.96 (0.84-1.10)0.84 (0.73-0.97)0.1400.98 (0.96-0.99)
ER- and PR- subtype 605126154116104105
Adjusted Hazard Ratio (95% CI)g 1.14 (0.88-1.48)1.000.89 (0.69-1.16)0.81 (0.62-1.05)0.80 (0.61-1.05)0.0080.96 (0.93-1.00)
Analysis by cohort-wide intake
Adjusted Hazard Ratio (95% CI)h 1.12 (0.83-1.51)1.001.17 (0.92-1.47)0.97 (0.75-1.26)1.11 (0.84-1.48)0.9891.00 (0.97-1.03)
Adjusted Hazard Ratio (95% CI)i 1.01 (0.92-1.12)1.000.96 (0.88-1.04)0.97 (0.89-1.06)0.91 (0.83-1.00)0.0510.98 (0.97-1.00)

aIncludes 226,368 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Norway (n = 35,170), Spain (n = 6,589), Sweden (n = 14,825), and United Kingdom (n = 52,544). bCut-off points are based on country specific quartiles of caffeinated coffee intake after exclusion of non-caffeinated coffee consumers. c P for trend is computed by entering the categories as a continuous term (score variable: 0,1,2,3,4) in the Cox model. dIncluding only premenopausal breast cancers (that is, breast cancer diagnosed before the age of 50 years), and participants who were premenopausal at recruitment. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, decaffeinated coffee intake, and tea intake. eIncluding only postmenopausal breast cancers (excluding participants with premenopausal breast cancers). Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status at recruitment, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, decaffeinated coffee intake, and tea intake. fHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor positive and progesterone receptor positive postmenopausal breast cancers, fully adjusted as in model 5. gHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor negative and progesterone receptor negative postmenopausal breast cancers, fully adjusted as in model 5. hIncluding only premenopausal breast cancers. Using caffeinated coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 4. iIncluding only postmenopausal breast cancers. Using caffeinated coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 5. CI, confidence interval, ER, estrogen receptor; PR, progesterone receptor.

Table 4

Decaffeinated coffee consumption and risk of breast cancer a

Daily decaffeinated coffee intake Total No intake of decaffeinated coffee Low intake b Moderate intake b High intake b P trend c Per 100 mls
No. of participants17637388868431731679827534
No. of breast cancers527228581088515811
Premenopausal breast cancers 58728914948101
Adjusted Hazard Ratio (95% CI)d 1.08 (0.79-1.49)1.000.86 (0.56-1.32)1.20 (0.90-1.60)0.6461.00 (0.94-1.06)
Postmenopausal cancers 46852569939467710
Adjusted Hazard Ratio (95% CI)e 0.89 (0.80-0.99)1.001.01 (0.89-1.15)0.97 (0.87-1.08)0.1281.01 (0.99-1.03)
ER+ and PR+ subtype 17491073280174222
Adjusted Hazard Ratio (95% CI)f 0.88 (0.73-1.05)1.000.98 (0.79-1.21)1.07 (0.89-1.30)0.0361.02 (0.99-1.06)
ER- and PR- subtype 512304935164
Adjusted Hazard Ratio (95% CI)g 0.69 (0.50-0.94)1.000.92 (0.63-1.34)0.72 (0.51-1.02)0.7050.97 (0.91-1.04)
Analysis by cohort-wide intake
Adjusted Hazard Ratio (95% CI)h 1.08 (0.76-1.53)1.000.88 (0.62-1.27)1.16 (0.84-1.60)0.9151.00 (0.94-1.06)
Adjusted Hazard Ratio (95% CI)i 0.87 (0.75-1.01)1.001.00 (0.86-1.16)0.95 (0.83-1.10)0.0811.01 (0.99-1.03)

aIncludes 176,373 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Spain (n = 6,589), and United Kingdom (52,544). Participants from Norway and Sweden are all non-consumers of decaffeinated coffee and were excluded. bCut-off points are based on country specific tertiles of decaffeinated coffee intake after exclusion of non-decaffeinated coffee consumers. c P for trend is computed by entering the categories as a continuous term (score variable: 0,1,2,3,4) in the Cox model. dIncluding only premenopausal breast cancers (that is, breast cancer diagnosed before the age of 50 years), and participants who were premenopausal at recruitment. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, caffeinated coffee intake, and tea intake. eIncluding only postmenopausal breast cancers (excluding participants with premenopausal breast cancers). Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status at recruitment, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, caffeinated coffee intake, and tea intake. fHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor positive and progesterone receptor positive postmenopausal breast cancers, fully adjusted as in model 5. gHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor negative and progesterone receptor negative postmenopausal breast cancers, fully adjusted as in model 5. hIncluding only premenopausal breast cancers. Using caffeinated coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 4. iIncluding only postmenopausal breast cancers. Using caffeinated coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 5. CI, confidence interval, ER, estrogen receptor; PR, progesterone receptor.

Table 5

Cross-classified coffee intake and risk of postmenopausal breast cancer a

Decaffeinated coffee
Caffeinated coffee No consumption Consumption
No consumptionNumber of postmenopausal breast cancers/Number of participants568/21239287/9810
Adjusted hazard ratio (95%CI)c 0.89 (0.77-1.04)0.97 (0.82-1.14)
Low consumptionb Number of postmenopausal breast cancers/Number of participants625/20480601/29716
Adjusted hazard ratio (95%CI)c 0.88 (0.77-1.02)1.00
Moderate consumptionb Number of postmenopausal breast cancers/Number of participants836/27498588/22347
Adjusted hazard ratio (95%CI)c 0.84 (0.74-0.97)0.95 (0.83-1.08)
High consumptionb Number of postmenopausal breast cancers/Number of participants540 19561630/25632
Adjusted hazard ratio (95%CI)c 0.82 (0.71-0.95)0.98 (0.87-1.11)

aIncludes 176,373 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Spain (n = 6,589), and United Kingdom (52,544). Participants from Norway and Sweden are all non- consumers of decaffeinated coffee and were excluded. bThe cut-off values are based on country specific tertiles. cIncludes only postmenopausal breast cancers. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, and tea intake. CI, confidence interval.

Table 6

Tea consumption and risk of breast cancer a

Daily tea intake Total No intake Low intake b Moderately low intake b Moderately high intake b High intake b P trend c Per 100 mls
Number of participants2998909966758966544855228034492
Number of breast cancers934430431704173816801179
Premenopausal breast cancers
Adjusted Hazard Ratio (95% CI)d 0.90 (0.73-1.12)1.000.98 (0.80-1.21)0.97 (0.79-1.20)0.98 (0.77-1.26)0.6241.00 (0.98-1.03)
Postmenopausal cancers 840727711486156615101074
Adjusted Hazard Ratio (95% CI)e 0.99 (0.92-1.06)1.001.00 (0.93-1.08)0.98 (0.91-1.06)0.95 (0.88-1.03)0.3751.00 (0.99-1.00)
ER+ and PR+ subtype 2817903496477543398
Adjusted Hazard Ratio (95% CI)f 1.03 (0.91-1.15)1.000.98 (0.86-1.11)1.05 (0.93-1.19)1.02 (0.89-1.17)0.8661.00 (0.99-1.02)
ER- and PR- subtype 959268177182180152
Adjusted Hazard Ratio (95% CI)g 1.12 (0.91-1.38)1.000.99 (0.80-1.22)1.03 (0.83-1.27)1.12 (0.89-1.42)0.9411.00 (0.98-1.02)
Analysis by cohort-wide intake
Adjusted Hazard Ratio (95% CI)h 0.91 (0.74-1.13)1.001.04 (0.85-1.27)0.94 (0.75-1.17)0.97 (0.75-1.25)0.7701.00 (0.98-1.03)
Adjusted Hazard Ratio (95% CI)i 1.01 (0.93-1.09)1.001.01 (0.94-1.10)1.01 (0.93-1.10)0.99 (0.91-1.08)0.9981.00 (0.99-1.00)

aIncludes 299890 participants, following exclusion of participants from Norway where data on tea intake is not available. bCut-off points are based on country specific quartiles of tea intake after exclusion of non-tea consumers. c P for trend is computed by entering the categories as a continuous term (score variable: 0,1,2,3,4) in the Cox model. dIncluding only premenopausal breast cancers (that is, breast cancer diagnosed before the age of 50 years), and participants who were premenopausal at recruitment. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, coffee intake. eIncluding only postmenopausal breast cancers (excluding participants with premenopausal breast cancers). Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status at recruitment, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, coffee intake. fHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor positive and progesterone receptor positive postmenopausal breast cancers, fully adjusted as in model 5. gHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor negative and progesterone receptor negative postmenopausal breast cancers, fully adjusted as in model 5. hIncluding only premenopausal breast cancers. Using tea intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 4. iIncluding only postmenopausal breast cancers. Using tea intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 5. CI, confidence interval, ER, estrogen receptor; PR, progesterone receptor.

Total coffee consumption and risk of breast cancer a aIncludes all 335,060 participants. bCut-off points are based on country specific quartiles of total coffee intake after exclusion of non-coffee consumers. c P for trend is computed by entering the categories as a continuous term (score variable: 0,1,2,3,4) in the Cox model. dIncluding only premenopausal breast cancers (that is, breast cancer diagnosed before the age of 50 years), and participants who were premenopausal at recruitment. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, and tea intake. eIncluding only postmenopausal breast cancers (excluding participants with premenopausal breast cancers). Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status at recruitment, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, and tea intake. fHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor positive and progesterone receptor positive postmenopausal breast cancers, fully adjusted as in model 5. gHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor negative and progesterone receptor negative postmenopausal breast cancers, fully adjusted as in model 5. hIncluding only premenopausal breast cancers. Using total coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 4. iIncluding only postmenopausal breast cancers. Using total coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 5. CI, confidence interval; ER, estrogen receptor; PR, progesterone receptor. Caffeinated coffee consumption and risk of breast cancer a aIncludes 226,368 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Norway (n = 35,170), Spain (n = 6,589), Sweden (n = 14,825), and United Kingdom (n = 52,544). bCut-off points are based on country specific quartiles of caffeinated coffee intake after exclusion of non-caffeinated coffee consumers. c P for trend is computed by entering the categories as a continuous term (score variable: 0,1,2,3,4) in the Cox model. dIncluding only premenopausal breast cancers (that is, breast cancer diagnosed before the age of 50 years), and participants who were premenopausal at recruitment. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, decaffeinated coffee intake, and tea intake. eIncluding only postmenopausal breast cancers (excluding participants with premenopausal breast cancers). Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status at recruitment, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, decaffeinated coffee intake, and tea intake. fHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor positive and progesterone receptor positive postmenopausal breast cancers, fully adjusted as in model 5. gHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor negative and progesterone receptor negative postmenopausal breast cancers, fully adjusted as in model 5. hIncluding only premenopausal breast cancers. Using caffeinated coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 4. iIncluding only postmenopausal breast cancers. Using caffeinated coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 5. CI, confidence interval, ER, estrogen receptor; PR, progesterone receptor. Decaffeinated coffee consumption and risk of breast cancer a aIncludes 176,373 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Spain (n = 6,589), and United Kingdom (52,544). Participants from Norway and Sweden are all non-consumers of decaffeinated coffee and were excluded. bCut-off points are based on country specific tertiles of decaffeinated coffee intake after exclusion of non-decaffeinated coffee consumers. c P for trend is computed by entering the categories as a continuous term (score variable: 0,1,2,3,4) in the Cox model. dIncluding only premenopausal breast cancers (that is, breast cancer diagnosed before the age of 50 years), and participants who were premenopausal at recruitment. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, caffeinated coffee intake, and tea intake. eIncluding only postmenopausal breast cancers (excluding participants with premenopausal breast cancers). Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status at recruitment, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, caffeinated coffee intake, and tea intake. fHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor positive and progesterone receptor positive postmenopausal breast cancers, fully adjusted as in model 5. gHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor negative and progesterone receptor negative postmenopausal breast cancers, fully adjusted as in model 5. hIncluding only premenopausal breast cancers. Using caffeinated coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 4. iIncluding only postmenopausal breast cancers. Using caffeinated coffee intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 5. CI, confidence interval, ER, estrogen receptor; PR, progesterone receptor. Cross-classified coffee intake and risk of postmenopausal breast cancer a aIncludes 176,373 participants with complete data on type of coffee intake, that is, France (n = 48,101), Germany (n = 27,411), Greece (n = 3,125), Italy (n = 11,737), Netherlands (n = 26,866), Spain (n = 6,589), and United Kingdom (52,544). Participants from Norway and Sweden are all non- consumers of decaffeinated coffee and were excluded. bThe cut-off values are based on country specific tertiles. cIncludes only postmenopausal breast cancers. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, and tea intake. CI, confidence interval. Tea consumption and risk of breast cancer a aIncludes 299890 participants, following exclusion of participants from Norway where data on tea intake is not available. bCut-off points are based on country specific quartiles of tea intake after exclusion of non-tea consumers. c P for trend is computed by entering the categories as a continuous term (score variable: 0,1,2,3,4) in the Cox model. dIncluding only premenopausal breast cancers (that is, breast cancer diagnosed before the age of 50 years), and participants who were premenopausal at recruitment. Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, coffee intake. eIncluding only postmenopausal breast cancers (excluding participants with premenopausal breast cancers). Model is stratified by study center and age at recruitment, and adjusted for age at menarche, ever use of oral contraceptives, age at first delivery, breastfeeding, menopausal status at recruitment, ever use of postmenopausal hormones, smoking, education, physical activity level, alcohol intake, height, weight, energy intake from fat sources, energy intake from non-fat sources, saturated fat intake, fruits and vegetable intake, coffee intake. fHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor positive and progesterone receptor positive postmenopausal breast cancers, fully adjusted as in model 5. gHormone receptor status was only known in approximately 67% of patients with breast cancer. This analysis includes only estrogen receptor negative and progesterone receptor negative postmenopausal breast cancers, fully adjusted as in model 5. hIncluding only premenopausal breast cancers. Using tea intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 4. iIncluding only postmenopausal breast cancers. Using tea intake in cohort wide categories (no intake, quartile 1, quartile 2, quartile 3, quartile 4), and fully adjusted as in model 5. CI, confidence interval, ER, estrogen receptor; PR, progesterone receptor.

Total coffee

While moderately low intake of total coffee consumption seemed to be associated with higher risk of premenopausal breast cancer (adjusted HR:1.23, 95% CI: 1.02 to 1.48, compared to low intake), no dose response relationship was observed; Ptrend = 0.272 (Table 2). Overall, intake of total coffee was associated with a borderline statistically significantly lower risk of postmenopausal breast cancer. Multivariable HR comparing high total coffee intake to low intake was 0.95 (95% CI: 0.89 to 1.01). The linear trend test was not significant; Ptrend = 0.055. Each 100 ml increase in daily intake of total coffee was inversely associated with breast cancer risk (HR continuous 0.99, 95% CI: 0.98 to 0.99).

Caffeinated coffee

There seemed to be no association between caffeinated coffee intake and premenopausal breast cancer (Table 3). However, higher intakes of caffeinated coffee were associated with lower risk of postmenopausal breast cancer (adjusted HR for high intake compared to low intake: 0.90; 95% CI: 0.82 to 0.98). A linear trend for the inverse associations of caffeinated coffee intake with postmenopausal breast cancer risk was also apparent in this analysis; Ptrend = 0.029 (Table 3). While there was no significant effect modification by hormone receptor status (P = 0.711), a linear trend for lower risk of breast cancer with increasing caffeinated coffee intake was clearest for ER- PR- breast cancer (P = 0.008). For every 100 ml higher caffeinated coffee consumption, the risk of ER- PR- breast cancer was lower by 4% (adjusted HR: 0.96, 95% CI: 0.93 to 1.00). The risk of ER+ PR+ breast cancer was lowered by 2% per 100 ml (adjusted HR: 0.98, 95% CI: 0.96 to 0.99). However, the P value for trend test of categorical analyses was not significant (Table 3).

Decaffeinated coffee

No association was observed between decaffeinated coffee intake and premenopausal breast cancer (Table 4). Non-consumers compared to low consumers of decaffeinated coffee did show a significantly lower postmenopausal breast cancer risk (adjusted HR: 0.89; 95% CI: 0.80 to 0.99). There was, however, no difference in risk of breast cancer between high decaffeinated coffee consumers, compared to low consumers (Table 4). Post-hoc analysis comparing non-consumers of decaffeinated coffee against the consumers (no intake versus any intake, irrespective of caffeinated coffee intake) showed a modest decrease in risk of postmenopausal breast cancer; adjusted HR: 0.90, 95% CI: 0.82 to 0.98. There was no dose response relationship (Ptrend = 0.128). Compared to low decaffeinated coffee consumers, it seemed that the non-consumers of decaffeinated coffee had a lower risk of developing ER- PR- breast cancer (adjusted HR:0.69, 95% CI: 0.50 to 0.94), than ER+ PR+ breast cancer (adjusted HR: 0.88, 95% CI:0.73 to 1.05). However, test for interaction with hormone receptor status was not statistically significant (P = 0.716).

Cross-classification of caffeinated and decaffeinated coffee

As compared to decaffeinated coffee consumers with low caffeinated coffee intake, non-consumers of decaffeinated coffee with higher intakes of caffeinated coffee had significantly lower risk of postmenopausal breast cancer. Within consumers of decaffeinated coffee, no such association with higher intakes of caffeinated coffee was observed. Exclusive decaffeinated coffee consumption was also not associated with risk of postmenopausal breast cancer compared to decaffeinated coffee consumption with low caffeinated coffee intake (Table 5). Post-hoc analysis within women who did not consume any caffeinated coffee, showed no difference in risk of postmenopausal breast cancer between 21,239 non-consumers of decaffeinated coffee and 9,810 decaffeinated coffee consumers (adjusted HR: 0.96; 95%: 0.82 to 1.14).

Tea

Tea consumption was neither statistically significantly associated with risk of premenopausal nor postmenopausal breast cancer (Table 6). The adjusted HR for high tea intake versus low intake was 0.98 (95% CI: 0.77 to 1.26) for premenopausal breast cancer, and 0.95 (95% CI: 0.88 to 1.03) for postmenopausal breast cancer. Analysis by hormone receptor status did not show any significant results.

Sensitivity analysis

Our sensitivity analyses showed that results remain essentially unchanged when analysis of beverage intake was conducted using cohort wide categories of intake instead of country specific categories (Tables 2, 3, 4 and 6). We did not observe any effect modification by BMI. There was no statistically significant heterogeneity between countries for the association between total coffee, caffeinated coffee, decaffeinated coffee, and tea intake and breast cancer. None of the associations were substantially altered when family history of breast cancer was included in the analyses, or when analysis was restricted to follow-up experience after two years of recruitment into the study (not shown).

Discussion

In this study, high versus low caffeinated coffee intake was associated with a modest but statistically significantly lower risk of postmenopausal breast cancer. This association was only detected in women not consuming decaffeinated coffee. Although abstinence of decaffeinated coffee (versus any intake, irrespective of caffeinated coffee intake) seemed to be associated with lower risk for postmenopausal breast cancer, exclusive decaffeinated coffee intake was not associated with increased risk. Tea intake was not associated with risk of postmenopausal breast cancer. Neither caffeinated coffee, decaffeinated coffee, nor tea intake impacted the risk of premenopausal breast cancer. Our null finding for the association between total coffee intake and risk of postmenopausal breast cancer corroborates the findings of most previous large-scale prospective studies and meta-analyses [12,28]. The lack of association observed in the current study and previous studies seems to support the notion that studying total coffee intake as a single entity may result in a net null association owing to differences in the direction of association between caffeinated and decaffeinated coffee, in relation to breast cancer. Hence, we would like to recommend that future studies in populations consuming both types of coffee should explicitly analyze caffeinated and decaffeinated coffee intake separately. The observation that caffeinated coffee was significantly associated with lower risk of postmenopausal breast cancer seems to be in agreement with the finding of a recent population based case–control study by Lowcock et al. in Canada (odds ratio comparing highest versus no consumption: 0.63 (95% CI: 0.43 to 0.94) [19]. This study, and another population-based case–control study, which included participants from Sweden as well as Germany [29], had further found that caffeinated coffee intake was significantly associated with a reduced risk of estrogen receptor negative breast cancers but not estrogen receptor positive breast cancers, while we found a stronger association in ER- PR- breast cancers. A cohort study in Sweden had also found that increased coffee intake was associated with lower risk of ER- PR- breast cancer, but at a more modest margin of protection, not achieving statistical significance [30]. Other recent prospective cohort studies, however, could not show an association between caffeinated coffee intake and risk of breast cancer [31-35]. While it seems plausible that caffeine plays a role in explaining the lower risk of breast cancer associated with caffeinated coffee intake in the current study [35], a number of studies have shown that caffeine intake per se does not impact breast cancer risk [19,32-34,36]. It is hence postulated that another compound, or compounds, in caffeinated coffee may confer a protection against breast carcinogenesis by acting synergistically with caffeine [19]. This explanation seems plausible given that in our study, caffeinated coffee, which contains caffeine and a plethora of other compounds, was associated with lower risk of postmenopausal breast cancer, whereas decaffeinated coffee does not seem to be associated with risk of breast cancer. In this study, those who reported not to consume decaffeinated coffee seemed to have a significantly lower risk of breast cancer. However, we did not observe a dose–response relationship. Cross-classified coffee intake analysis further showed that exclusive decaffeinated coffee consumption was not associated with risk of postmenopausal breast cancer compared to decaffeinated coffee and low caffeinated coffee consumption. Post-hoc analyses also showed that exclusive decaffeinated coffee consumption was not associated with increased risk of postmenopausal breast cancer compared to no intake of any coffee. Taken together, these findings seem to suggest that decaffeinated coffee intake is not associated with postmenopausal breast cancer. The apparent decrease in risk among non-consumers of decaffeinated coffee may be explained by findings of previous studies, which have suggested that decaffeinated coffee consumers may be unique in terms of lifestyle or medical history [37,38]. Decaffeinated coffee intake is related to illness in some persons but to a healthy lifestyle in others [37]. This is corroborated in the current study, where consumption of decaffeinated coffee was associated with a healthier lifestyle compared to non-consumption. Hence, there may have been minimal overlap in (lifestyle related) confounders between the consumers and non-consumers of decaffeinated coffee to allow optimal adjustment. It is also conceivable that the breast cancer screening behavior of decaffeinated coffee consumers may have contributed to higher detection of (early) breast cancers in this subgroup. This may also explain why higher caffeinated coffee intakes within decaffeinated coffee consumers were not associated with a lower risk of breast cancer. It is, however, acknowledged that distinguishing genuine decaffeinated coffee effects from a ‘decaffeinated coffee preference’ effect may be difficult. A meta-analysis on the association of tea intake with breast cancer risk had found no overall protective effect of black tea (pooled relative risk = 0.97; 95% CI = 0.91 to 1.05) [3]. This corroborates our findings since black tea is the predominantly consumed type of tea in Europe [39]. Possibly explaining the lack of association between black tea and breast cancer is that it contains a relatively lower amount of caffeine compared to coffee, and up to 10-fold reduction in catechin levels compared with green tea, which had been inversely associated with breast cancer [39]. Besides having a sufficiently large number of premenopausal breast cancers, we also had a relatively high number of breast cancer cases whose hormone receptor statuses were available (approximately 70%) to allow analysis by ER and PR status. Our findings further support the view that pooling of pre- and postmenopausal breast cancers as a homogenous entity is not recommended. We do, however, acknowledge that data on menopausal status at diagnosis was not available, and we had to use age at breast cancer diagnosis as a proxy. Although coffee and tea intakes were measured only at baseline, analyses of participants in the EPIC sub-cohort of Umea in Sweden [40], as well as participants of the Cancer Prevention Study II in the United States [41], with repeated measures taken up to 10 years apart showed that coffee habits are stable over a long period. While the amount of coffee intake seems to vary substantially across Europe, true variation in coffee intake may not be as large as it seems given that there is an inverse relationship between the volume and concentration of coffee. This is reflected in our results whereby the hazard ratios using cohort-wide cutpoints are similar to country-specific cutpoints. We did not have information on the type of tea, and coffee/tea brewing methods, which may vary across the countries and alter the contents of potentially beneficial compounds in the beverages. It has been recently highlighted that coffee brewing methods maybe be relevant with respect to breast cancer risk. A cohort study in Sweden showed that a decreased risk of breast cancer was observed in women drinking boiled coffee but no association was observed with filtered coffee consumption [42]. Country specific categories of consumption were therefore used to address this limitation. Besides coffee and tea as prominent sources of caffeine in this population, hot chocolate, chocolate candy/candy bars, and soft drinks are also possible sources [43]. We had information on chocolate candy/candy bars intake and soft drinks, but not on hot chocolate intake. As contributions of caffeine from these sources are far lower than from coffee and tea, those intakes are unlikely to have impacted our study results [43].

Conclusions

Within a very large cohort of women, our findings show that higher caffeinated coffee intake is associated with a modest lowering in risk of postmenopausal breast cancer. Decaffeinated coffee intake does not seem to be associated with risk of breast cancer. The mechanism by which caffeinated coffee impacts breast cancer risk warrants further investigation.
  41 in total

1.  Tea and coffee intake in relation to risk of breast cancer in the Black Women's Health Study.

Authors:  Deborah A Boggs; Julie R Palmer; Meir J Stampfer; Donna Spiegelman; Lucile L Adams-Campbell; Lynn Rosenberg
Journal:  Cancer Causes Control       Date:  2010-08-03       Impact factor: 2.506

2.  Red meat intake and risk of breast cancer among premenopausal women.

Authors:  Eunyoung Cho; Wendy Y Chen; David J Hunter; Meir J Stampfer; Graham A Colditz; Susan E Hankinson; Walter C Willett
Journal:  Arch Intern Med       Date:  2006-11-13

3.  Consumption of filtered and boiled coffee and the risk of incident cancer: a prospective cohort study.

Authors:  Lena Maria Nilsson; Ingegerd Johansson; Per Lenner; Bernt Lindahl; Bethany Van Guelpen
Journal:  Cancer Causes Control       Date:  2010-05-30       Impact factor: 2.506

4.  Predictors of the plasma ratio of 2-hydroxyestrone to 16alpha-hydroxyestrone among pre-menopausal, nulliparous women from four ethnic groups.

Authors:  H Jernström; T L Klug; D W Sepkovic; H L Bradlow; S A Narod
Journal:  Carcinogenesis       Date:  2003-05       Impact factor: 4.944

5.  Correlates of decaffeinated coffee choice.

Authors:  A Leviton; E N Allred
Journal:  Epidemiology       Date:  1994-09       Impact factor: 4.822

6.  European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics.

Authors:  N Slimani; R Kaaks; P Ferrari; C Casagrande; F Clavel-Chapelon; G Lotze; A Kroke; D Trichopoulos; A Trichopoulou; C Lauria; M Bellegotti; M C Ocké; P H M Peeters; D Engeset; E Lund; A Agudo; N Larrañaga; I Mattisson; C Andren; I Johansson; G Davey; A A Welch; K Overvad; A Tjønneland; W A Van Staveren; R Saracci; E Riboli
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

7.  European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection.

Authors:  E Riboli; K J Hunt; N Slimani; P Ferrari; T Norat; M Fahey; U R Charrondière; B Hémon; C Casagrande; J Vignat; K Overvad; A Tjønneland; F Clavel-Chapelon; A Thiébaut; J Wahrendorf; H Boeing; D Trichopoulos; A Trichopoulou; P Vineis; D Palli; H B Bueno-De-Mesquita; P H M Peeters; E Lund; D Engeset; C A González; A Barricarte; G Berglund; G Hallmans; N E Day; T J Key; R Kaaks; R Saracci
Journal:  Public Health Nutr       Date:  2002-12       Impact factor: 4.022

8.  Coffee consumption modifies risk of estrogen-receptor negative breast cancer.

Authors:  Jingmei Li; Petra Seibold; Jenny Chang-Claude; Dieter Flesch-Janys; Jianjun Liu; Kamila Czene; Keith Humphreys; Per Hall
Journal:  Breast Cancer Res       Date:  2011-05-14       Impact factor: 6.466

9.  Differential effects of reproductive factors on the risk of pre- and postmenopausal breast cancer. Results from a large cohort of French women.

Authors:  F Clavel-Chapelon
Journal:  Br J Cancer       Date:  2002-03-04       Impact factor: 7.640

10.  Black tea, green tea and risk of breast cancer: an update.

Authors:  Yili Wu; Dongfeng Zhang; Shan Kang
Journal:  Springerplus       Date:  2013-05-24
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  18 in total

1.  Adolescent caffeine consumption and mammographic breast density in premenopausal women.

Authors:  Lusine Yaghjyan; Graham Colditz; Bernard Rosner; Shannan Rich; Kathleen Egan; Rulla M Tamimi
Journal:  Eur J Nutr       Date:  2019-05-31       Impact factor: 5.614

2.  Coffee Consumption and Incident Kidney Disease: Results From the Atherosclerosis Risk in Communities (ARIC) Study.

Authors:  Emily A Hu; Elizabeth Selvin; Morgan E Grams; Lyn M Steffen; Josef Coresh; Casey M Rebholz
Journal:  Am J Kidney Dis       Date:  2018-03-20       Impact factor: 8.860

3.  Coffee consumption and the risk of cancer in the Norwegian Women and Cancer (NOWAC) Study.

Authors:  Marko Lukic; Idlir Licaj; Eiliv Lund; Guri Skeie; Elisabete Weiderpass; Tonje Braaten
Journal:  Eur J Epidemiol       Date:  2016-03-24       Impact factor: 8.082

Review 4.  Coffee consumption and breast cancer risk: a narrative review in the general population and in different subtypes of breast cancer.

Authors:  Astrid Nehlig; Nathalie Reix; Pauline Arbogast; Carole Mathelin
Journal:  Eur J Nutr       Date:  2021-01-13       Impact factor: 5.614

5.  Associations of coffee/caffeine consumption with postmenopausal breast cancer risk and their interactions with postmenopausal hormone use.

Authors:  Lusine Yaghjyan; Eric McLaughlin; Amy Lehman; Marian L Neuhouser; Thomas Rohan; Dorothy S Lane; Linda Snetselaar; Electra Paskett
Journal:  Eur J Nutr       Date:  2022-05-18       Impact factor: 4.865

6.  Prospective study of a diabetes risk reduction diet and the risk of breast cancer.

Authors:  Jae H Kang; Cheng Peng; Jinnie J Rhee; Maryam S Farvid; Walter C Willett; Frank B Hu; Bernard A Rosner; Rulla Tamimi; A Heather Eliassen
Journal:  Am J Clin Nutr       Date:  2020-12-10       Impact factor: 7.045

Review 7.  Coffee Consumption and Cancer Risk: An Assessment of the Health Implications Based on Recent Knowledge.

Authors:  Ernest K J Pauwels; Duccio Volterrani
Journal:  Med Princ Pract       Date:  2021-03-24       Impact factor: 1.927

8.  Targeting Melanoma-Initiating Cells by Caffeine: In Silico and In Vitro Approaches.

Authors:  Claudio Tabolacci; Martina Cordella; Stefania Rossi; Marialaura Bonaccio; Adriana Eramo; Carlo Mischiati; Simone Beninati; Licia Iacoviello; Antonio Facchiano; Francesco Facchiano
Journal:  Molecules       Date:  2021-06-13       Impact factor: 4.411

Review 9.  Cancer Progress and Priorities: Breast Cancer.

Authors:  Serena C Houghton; Susan E Hankinson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-05       Impact factor: 4.090

10.  Association between coffee consumption and all-sites cancer incidence and mortality.

Authors:  Junya Sado; Tetsuhisa Kitamura; Yuri Kitamura; Tomotaka Sobue; Yoshikazu Nishino; Hideo Tanaka; Tomio Nakayama; Ichiro Tsuji; Hidemi Ito; Takaichiro Suzuki; Kota Katanoda; Suketami Tominaga
Journal:  Cancer Sci       Date:  2017-09-26       Impact factor: 6.716

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