Abstract
Coffee, tea, and maté may cause esophageal cancer (EC) by causing thermal injury to the esophageal mucosa. If so, the risk of EC attributable to thermal injury could be large in populations in which these beverages are commonly consumed. In addition, these drinks may cause or prevent EC via their chemical constituents. Therefore, a large number of epidemiologic studies have investigated the association of an indicator of amount or temperature of use of these drinks or other hot foods and beverages with risk of EC.
We conducted a systematic review of these studies, and report the results for amount and temperature of use separately. By searching PubMed and the ISI, we found 59 eligible studies.
For coffee and tea, there was little evidence for an association between amount of use and EC risk; however, the majority of studies showed an increased risk of EC associated with higher drinking temperature which was statistically significant in most of them. For maté drinking, the number of studies was limited, but they consistently showed that EC risk increased with both amount consumed and temperature, and these two were independent risk factors. For other hot foods and drinks, over half of the studies showed statistically significant increased risks of EC associated with higher temperature of intake.
Overall, the available results strongly suggest that high-temperature beverage drinking increases the risk of EC. Future studies will require standardized strategies that allow for combining data, and results should be reported by histological subtypes of EC.
Introduction
Recurrent thermal injury to the esophageal mucosa due to consuming large amounts of hot drinks has long been suspected to be a risk factor for esophageal cancer (EC). In 1939, WL Watson, after reviewing clinical records from 771 EC cases, wrote: “thermal irritation is probably the most constant factor predisposing to the cancer of the esophagus”.1 If hot drinks indeed cause EC, they can explain a large proportion of all cases in populations in which drinking tea, coffee, or maté (an herbal infusion of Ilex paraguariensis, commonly consumed in several South American countries), or eating hot foods are common. Nevertheless, the association of hot drinks with EC has been questioned both based on biologic reasons and empirical evidence.
It has been argued that the temperature of hot foods and drinks may fall rapidly in the mouth and oropharynx so that it cannot cause thermal injury to the esophageal mucosa.2 To test this hypothesis, De Jong and colleagues measured intraesophageal temperature after consuming hot drinks. The results of their study showed that drinking hot beverages could substantially increase the intra-esophageal temperature and this increase was a function of the initial drinking temperature and more importantly, the size of the sip.3 For example, drinking 65 °C coffee increased the intra-esophageal temperature by 6–12 °C, depending on the sip size.3
Tea, coffee, and maté may affect cancer risk not only through thermal effects but also via their chemical constituents. Although some studies have shown mutagenic effects for tea, coffee, and unprocessed maté herb (Ilex paraguariensis) extracts,4–10 a number of more recent experimental studies in animals have reported cancer preventive activities for these beverages (reviewed in refs. 11–15). A number of epidemiological studies have investigated a possible effect of these beverages on cancer risk. With respect to gastrointestinal cancers, recent meta-analyses did not find any significant association between tea drinking and gastric and colorectal cancers,16–18 but coffee drinking was shown to be inversely associated with risk of liver cancer.19,20
In 1990, a Working Group of the International Agency for Research on Cancer (IARC) concluded that there was not sufficient evidence to recognize tea, coffee, or maté, in toto, as risk factors of human cancer, but they found that drinking hot maté was a probable risk factor in humans.21 The strongest evidence was for an association with EC. Since then, a large number of additional studies have investigated the association of the beverages and EC. We conducted a systematic review of the results of epidemiologic studies on the association of tea, coffee, or maté drinking or of high-temperature food consumption with EC.
Materials and Methods
We conducted a comprehensive search of the PubMed and ISI-Web of Knowledge databases for all case-control or cohort studies published in English language on the association of tea, coffee, maté, or other hot drinks or high temperature foods and risk of EC. All results were updated on January 23, 2009. The following terms were used in the PubMed Database search: “(esophag* OR oesophag*) AND (cancer OR carcinoma OR adenocarcinoma OR neoplasm OR neoplasia OR neoplastic) AND (tea OR mate OR coffee OR beverage)”; the search was repeated by replacing the last phrase with “(liquid OR drinks OR alcohol OR food) AND (hot OR cold OR warm OR temperature)”. The same terms were used to search text words in the ISI Database. In addition, references cited in the identified articles were searched manually. Two of the authors (FI and FK) reviewed the search results to reduce the possibility of missing the published papers.
Using the above-mentioned approach, a total of 536 articles were retrieved. Figure 1 shows a summary of the article selection process. After reading the abstracts of the retrieved articles, we excluded 417 articles because they were not case-control or cohort studies of hot drinks and EC; the excluded articles were reviews, animal studies, in vitro studies, case-series, studies of cancers other than EC, or studies of treatment and complications of EC. In case of any doubt, we also reviewed the full texts of those articles. After reviewing the full texts of the remaining 119 articles, we excluded another 57 because they did not present data on the variables of interest, but we found an additional 14 articles by searching the references of the articles. We also included a study which was in press at the time of our review.22 Therefore, a total of 77 relevant articles were found. Of these, 7 articles 23–29 were excluded because they reported data on EC in combination with other cancers and an additional 10 publications 30–39 were excluded because their results were reported in other publications or in combined analyses. One more study that referred to drinking of hot Calvados,40 a strong spirit which is a well established cause of EC, was excluded because separating the effect of temperature from that of the spirit per se would be difficult. Finally, a total of 59 full-text articles were included in this systematic review.22,41–98
Tea, coffee, and maté constitute the three major types of hot drinks consumed around the world. Therefore, we present data for each one of these, as well as for the mixed group of other hot foods and drinks, in separate tables. The two main variables of interest were: 1) an indicator of amount consumed (frequency per day, amount per day, duration of use, or a composite variable indicating cumulative use); and 2) temperature.
The etiological factors responsible for the two main histological of EC, esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC), may be different, and any role of hot drinks and foods might be more relevant for ESCC etiology.99 Therefore, where data are available, we present the results for ESCC and EAC separately.
Where both crude and adjusted odds ratios (ORs) and 95% confidence intervals (95% CIs) were reported in the paper, we only present the adjusted results. A small number of studies showed crude numbers but not ORs and 95% CIs, in which case we calculated these statistics using simple logistic regression models and present them. Throughout the article, P values < 0.05 were considered as statistically significant.
Results
Tea
After excluding duplicate publications, we found 38 papers, published between 1974 and 2008, that reported on the association of tea drinking with EC (Table 1). These included 33 individual case-control studies, a pooled analysis of 5 case-control studies, a pooled analysis of 2 case-control studies, and 3 prospective studies. The studies were conducted in United States, South America, Europe, South-Africa, Middle-East, and South and East Asia, and included both high-risk and low-risk regions. Two of the prospective studies were from Japan and one was from China. There were large differences in study size, but the majority of the studies had between 100 and 400 EC cases. Whereas some studies described the type of tea consumed (e.g., green tea or black tea), the large majority did not report on tea type; however, black tea represents the predominant type of tea traditionally drunk in most regions outside East Asia.21
Table 1.
First author; year of publication (Country; period of study) |
Case / controla |
Amount, frequency, duration, or status of tea drinking |
OR/RR/HR (95% CI)b |
Tea drinking temperature |
OR/RR/HR (95% CI)b |
Comments (1. Study design; 2. histological subtypes of EC, if available; 3. matching criteria, if applicable; and 4. the adjustments in statistical models that were done for the presented results) |
---|---|---|---|---|---|---|
De Jong; 197441 (Singapore; 1970–1972) |
131 / 665 (95 / 465 men and 36 / 200 women) |
Tea drinking frequency (men) Not daily Daily (women) Not daily Daily |
1 0.99 (NS/NR) 1 0.82 (NS/NR) |
(men) Other Burning hot (women) Other Burning hot |
1 2.96 (P <0.01) 1 2.28 (NS/NR) |
|
Cook-Mozaffari; 197942 (Iran; 1975– 1976) |
344 / 688 (217 / 434 men and 127 / 254 women) |
Tea drinking amount | NS/NR |
(men) Other Hot tea (women) Other Hot tea |
1 1.72 (P <0.01) 1 2.17 (P <0.01) |
|
Van Rensburg; 198543 (South Africa; 1978–1981) |
211 / 211 |
Tea with milk drinking amount |
NS/NR | - | - |
|
Notani; 198744 (India; 1976– 1984) |
236 / 392 |
Tea drinking frequency (vs. hospital controls) ≤ 2 cups/day 2+ cups/day (vs. pupulation controls) ≤ 2 cups/day 2+ cups/day |
1 1.18 (0.8–1.8) 1 2.39 (1.5–3.9) |
- | - |
|
Yu; 198845 (USA; 1975– 1981) |
275 / 275 |
Tea drinking frequency and the manner of drinking (sipped or gulped) |
NS/NR | Temperature | NS/NR |
|
Brown; 198846 (USA; 1982–1984 for ‘incidence series’,1977– 1981 for ‘mortality series’) |
207 / 422 |
Tea drinking amount (both regular tea and local herbal teas) |
NS/NR | Temperature | NS/NR |
|
Graham; 199047 (USA; 1975– 1986) |
178 / 174 |
Tea drinking frequency Nil 1–15 cups/month 16–28 cups/month 29–280 cups/month |
1 1.12 (0.60–2.09) 1.21 (0.68–2.17) 0.76 (0.41–1.41) |
- | - |
|
La Vecchia; 199248 (Italy; 1983– 1990) |
294 / 6147 |
Tea drinking status Non-drinkers Drinkers |
1 1.0 (0.7–1.4) |
- | - |
|
Wang, YP; 199249 (China, Shanxi; 1988–1989) |
326 / 396 | Tea drinking amount | NS/NR | - | - |
|
Memik; 199250* (Turkey; not reported) |
78 / 558 |
Tea drinking frequency 0–3 glasses/day 4–10 glasses/day 11+ glasses/day |
1 0.28 (0.16–0.46) 0.25 (0.11–0.59) |
- | - |
|
Hu; 199451 (China; 1985– 1989) |
196 / 392 |
Tea drinking amount Nil 50–1500 g/year 1501–3000 g/year 3000+ g/year Strength of tea Non-drinkers Weak Medium Strong |
1 1.2 (0.7–2.1) 1.8 (1.04–3.3) 3.9 (1.7–9.1) 1 0.8 (0.3–2.0) 1.1 (0.6–1.9) 2.5 (1.4–4.3) |
- | - |
|
Gao, YT; 199452 (China; cases were ascertained during 1990– 1993, controls were ascertained during 1986– 1987) |
902 / 1552 |
Green tea Amount (men) Non-tea drinker Tea drinker 1–199 g/month 200+ g/month (women) Non-tea drinker Tea drinker 1–149 g/month 150+ g/month Amount × duration (men) Non-tea drinker 1–3499 (g/month × years) 3500+ (g/month × years) (women) Non-tea drinker 1–3499 3500+ Never smoker/drinkers Amount (men) Non-tea drinker Tea drinker 1–199 g/month 200+ g/month (women) Non-tea drinker Tea drinker 1–149 g/month 150+ g/month Amount × duration (men) Non-tea drinker 1–3499 (g/month × years) 3500+ (g/month × years) (women) Non-drinker 1–3499 (g/month × years) 3500+ (g/month × years) |
1 0.80 (0.58–1.09) 0.79 (0.53–1.17) 0.79 (0.56–1.13) 1 0.50 (0.30–0.83) 0.77 (0.39–1.53) 0.34 (0.17–0.69) 1 0.73 (0.48–1.11) 0.83 (0.59–1.16) 1 0.74 (0.40–1.38) 0.29 (0.13–0.65) 1 0.43 (0.22–0.86) 0.33 (0.14–0.80) 0.62 (0.25–1.54) 1 0.40 (0.20–0.77) 0.70 (0.31–1.58) 0.17 (0.05–0.58) 1 0.24 (0.08–0.72) 0.63 (0.29–1.41) 1 0.66 (0.32–1.37) 0.07 (0.01–0.54) |
See Table 4. |
|
|
Srivastava; 199553 (India; not reported) |
75 / 75 | - | - | Hot Very hot |
1 NS/NR |
|
Inoue; 199854 (Japan; 1990– 1995) |
185 / 21128 |
Green tea frequency Rarely Occasionally 1–3 cups/day 4-6 cups/day 7+ cups/day Black tea frequency Rarely Occasionally Daily |
1 1.02 (0.50–2.10) 1.07 (0.58–2.00) 0.96 (0.50–1.83) 1.14 (0.55–2.34) 1 0.44 (0.26–0.74) 1.03 (0.53–2.00) |
- | - |
|
Kinjo; 199855 (Japan; 1966– 1981) |
440 / 220272 | - | - |
Green tea Non hot Hot |
1 1.5 (1.1–1.9) |
|
Gao, CM; 199956 (China, 1995) |
81 / 234 |
Tea drinking amount Nil 1–199 g/month 200+ g/month |
1 0.63 (0.28–1.42) 0.42 (0.19–0.95) |
- | - |
|
Tao; 199957 (China; 1984– 1988) |
71 / 1122 |
Tea drinking frequency < 1 cup/day 1+ cup/day |
1 0.70 (0.39–1.25) |
- | - |
|
Castellsagué; 200058 (Argentina, Brazil, Uruguay, Paraguay;1985– 1992) |
830 / 1779 |
Tea drinking status Never-drinker Ever-drinker Amount Non-drinker 1–500 ml/day >500 ml/day |
1 0.81 (0.62–1.06) 1 0.90 (0.67–1.20) 0.62 (0.40–0.96) |
Cold/warm Hot Very hot |
1 0.66 (0.35–1.25) 3.73 (1.41–9.89) |
|
Bosetti; 200059 (Italy; 1992– 1997) |
304 / 743 |
Coffee & tea frequency ≤ 7.9 times/week 8–14.4 times/week 14.5–20.9 times/week 21.0–24.9 times/week 25+ times/week (quintiles) |
1 0.91 (0.56–1.48) 0.82 (0.47–1.43) 0.91 (0.57–1.44) 0.71 (0.42–1.19) |
- | - |
|
Nayar; 200060 (India; 1994– 1997) |
147 / 140 | - | - | Warm Hot Burning hot |
1 1.11 (0.62–1.96) 1.27 (0.60–2.69) |
|
Cheng; 200061 (England, Scotland; 1993– 1996) |
74 / 74 |
Tea drinking amount Never/<1 /day ≤ 6 dcl/day 7–11 dcl/day 12+ dcl/day |
1 0.83 (0.26–2.63) 0.95 (0.30–3.08) 0.49 (0.14–1.72) |
Tea or coffee Warm Hot Very/burning hot |
1 0.75 (0.32–1.76) 0.51 (0.18–1.45) |
|
Terry; 200162 (Sweden; 1995– 1997) |
167 ESCC and 189 EAC / 815 |
- | - |
Tea or coffee (ESCC) None, cold, lukewarm Hot Very hot (EAC) None, cold, lukewarm Hot Very hot |
1 1.0 (0.6–1.6) 0.8 (0.4–1.8) 1 0.7 (0.5–1.1) 0.6 (0.3–1.3) |
|
Takezaki; 200163 (China; 1995– 2000) |
195 / 333 |
Tea drinking amount 0 g/month 1–149 g/month 150+ g/month |
1 0.73 (0.44–1.22) 0.64 (0.36–1.15) |
- | - |
|
Sharp; 200164 (England, Scotland; 1993– 1996) |
159 / 159 |
Tea drinking amount Nil/<1 dcl/day ≤ 6 dcl/day 7-11 dcl/day 12+ dcl/day |
1 2.33 (0.62–8.86) 2.99 (0.85–10.56) 3.36 (0.99–11.29) |
Tea or coffee Very/burning hot Hot Warm |
1 0.75 (0.38–1.47) 0.34 (0.13–0.88) |
|
Ke; 200265 (China; 1997– 2000) |
1248 / 1248 |
Congou tea Non-drinker Drinker (amount) 500− g/year 10000− g/year 20000− g/year 30000+ g/year Hot Congou tea Non-drinker Drinker (amount) 500− g/year 10000− g/year 20000− g/year 30000+ g/year |
1 0.40 (0.28–0.57) 1 0.52 (0.38–0.70) 0.44 (0.29–0.67) 0.05 (0.01–0.22) 1 0.04 (0.01–0.13) 1 0.41 (0.28–0.62) 0.57 (0.34–0.97) 0.03 (0.00–0.23) |
- | - |
|
Sun; 200266 (China; 1986– 1998) |
42 / 209 |
Urinary tea polyphenols (epigallocatechin) Negative Positive ≤ 0.196 mg/g creatinine > 0.196 mg/g creatinine (epicatechin) Negative Positive ≤ 0.311 mg/g creatinine > 0.311 mg/g creatinine (M4) Negative Positive ≤ 0.220 mg/g creatinine > 0.220 mg/g creatinine (M6) Negative Positive ≤ 0.448 mg/g creatinine > 0.448 mg/g creatinine |
1 0.87 (0.38–2.02) 0.84 (0.32–2.19) 0.91 (0.36–2.31) 1 1.22 (0.48–3.10) 1.32 (0.51–3.45) 0.99 (0.32–3.04) 1 0.91 (0.44–1.89) 0.96 (0.43–2.15) 0.83 (0.32–2.14) 1 0.79 (0.38–1.66) 0.90 (0.40–2.01) 0.61 (0.22–1.65) |
- | - |
|
Onuk; 200267 (Turkey; 1999– 2000) |
44 / 100 | - | - | Not hot Hot |
1 8.7 (2.5–30.2) |
|
Gao, CM; 200268 (China; 1998– 2000) |
141 / 223 |
Tea drinking amount 0 g/month 1+ g/month |
1 0.45 (0.26–0.78) |
- | - |
|
Tavani; 200369 (Italy, Switzerland; 1991–1997) |
395 / 1066 |
Tea drinking frequency <1 cup/day 1+ cup/day |
1 0.9 (0.7–1.2) |
- | - |
|
Hung; 200470 (Taiwan; 1996– 2002) |
365 / 532 |
Tea drinking frequency (age 20–40 years) <1 time/week 1–6 times/week 7+ times/week (age 40+ years) <1 time/week 1–6 times/week 7+ times/week |
1 1.0 (0.5–1.7) 0.7 (0.4–1.1) 1 0.7 (0.4–1.2) 0.5 (0.3–0.8) |
- | - |
|
Chitra; 200471 (India; 1999– 2000) |
90 / 90 |
Tea drinking frequency ≤3 cups/day 3+ cups/day |
1 3.3 (1.7–6.3) |
- | - |
|
Yang CX; 200572 (China; 2003– 2004) |
185 / 185 |
Tea drinking frequency ≤ 1 time/week 2–4 times/week >4 times/week |
1 0.45 (0.15–1.36) 0.57 (0.25–1.31) |
- | - |
|
Ishikawa; 200673 (Japan; 1984– 1992 cohort 1, 1990–1997 cohort 2) |
78 / 196686 person-year |
Green tea Frequency Never/occasionally 1–2 cups/day 3–4 cups/day 5+ cups/day |
HR (95% CI) 1 1.03 (0.46–2.28) 1.13 (0.53–2.42) 1.67 (0.89–3.16) |
- | - |
|
Wang, Z; 200674 (China; 2002– 2003) |
107 / 107 |
Green tea Non-drinker Drinker |
1 0.13 (0.03–0.62) |
- | - |
|
Wang, JM; 200775 (China; 2004– 2006) |
355 / 408 |
Green tea Status (men) Non-drinker Drinker (Women) Non-drinker Drinker Duration (men) Nil <30 years 30+ years (Women) Nil <30 years 30+ years |
1 1.37 (0.95–1.98) 1 0.26 (0.07–0.94) 1 1.31 (0.85–2.03) 1.44 (0.91–2.27) 1 0.33 (0.06–1.68) 0.18 (0.02–1.54) |
- | - |
|
Gledovic; 200776 (Serbia; 1998– 2002) |
102 / 102 |
Tea drinking status Non-drinkers Drinkers |
1 NS/NR |
- | - |
|
Wu; 200877 (China; 2003– 2007) |
1520 / 3879 |
Green tea High-risk area (status) Never drinker Ever drinker Former drinker Current drinker (duration) Never drinker <25 years 20–34 years 35+ years (monthly consumption) Never drinker 1–149 g 150–249 g 250+ g (age at tea drinking start) Never drinker <25 years 25–34 years 35–44 years 45+ years Low-risk area (status) Never drinker Ever drinker Former drinker Current drinker (duration) Never drinker <25 years 20–34 years 35+ years (monthly consumption) Never drinker 1–149 g 150–249 g 250+ g (age at tea drinking start) Never drinker <25 years 25–34 years 35–44 years 45+ years |
1 1.0 (0.7–1.3) 2.2 (1.6–5.3) 0.8 (0.6–1.1) 1 1.0 (0.6–1.4) 0.9 (0.6–1.4) 1.1 (0.7–1.8) 1 1.0 (0.7–1.3) 1.0 (0.6–1.8) 1.0 (0.6–2.0) 1 0.8 (0.4–1.5) 1.2 (0.8–1.8) 1.2 (0.7–1.9) 0.8 (0.6–1.2) 1 1.3 (0.9–1.7) 4.2 (2.3–7.6) 1.1 (0.8–1.5) 1 0.8 (0.5–1.5) 1.4 (1.0–2.0) 1.1 (0.8–1.6) 1 1.1 (0.7–1.7) 1.0 (0.7–1.6) 1.6 (1.1–2.2) 1 1.2 (0.8–1.9) 1.3 (1.0–1.9) 1.1 (0.7–1.8) 0.9 (0.4–1.9) |
Green tea High-risk area Never drinking Normal temperature High temperature Low-risk area Never drinking Normal temperature High temperature |
1 1.0 (0.7-1.3) 2.2 (1.6-5.3) 1 1.3 (0.9-1.7) 4.2 (2.3-7.6) |
|
Islami; in press22 (Iran; |
298 / 568 |
Black tea (amount- quintiles) 0–675 ml/day 676–920 ml/day 921–1215 ml/day 1216–1725 ml/day 1726+ ml/day Green tea (frequency) Never, <weekly Daily, weekly |
1 0.91 (0.43–1.91) 0.68 (0.34–1.37) 1.46 (0.75–2.86) 1.83 (0.93–3.59) 1 0.86 (0.38–2.09) |
Temperature Warm or lukewarm Hot Very hot Time interval** 4+ minutes 2–3 minutes <2 minutes |
1 2.07 (1.28–3.35) 8.16 (3.93–16.91) 1 2.49 (1.62–3.83) 5.41 (2.63–11.14) |
|
Abbreviations: EAC, esophageal adenocarcinoma; EC, esophageal cancer; ESCC, esophageal squamous cell carcinoma; HR, hazard ratio; M4, 5-(3′,4′,5′-trihydroxyphenyl)-γ-valerolactone (a metabolite of epigallocatechin); M6, 5-(3′,4′-trihydroxyphenyl)-γ-valerolactone (a metabolite of epicatechin); NR, not reported; NS/NR, non-significant/not reported (when the exact OR or 95% CI was not reported but the association was reported as non-significant); OR, odds ratio; RR, relative risk; 95% CI, 95% confidence interval.
Number of cases and controls in case-control or prospective studies or number of person-years of follow-up in cohort studies, if it is indicated
If studies reported both crude and adjusted ORs (95% CIs), we only present the adjusted results.
These studies showed crude numbers but not ORs and 95% CIs; we calculated these statistics using simple logistic regression models and present them.
Time interval between pouring tea into a cup and drinking it.
Amount consumed
Most studies (n = 33) provided results for one of the indicators of amount consumed, e.g., amount per day, frequency per day, duration of use, or an indicator of cumulative use. However, not all studies reported ORs (95% CIs) or crude numbers. There was no clear pattern of association between amount of tea consumed and EC risk; 7 studies showed an increase in risk (4 were statistically significant), and this was counterbalanced by 15 individual studies and a pooled analysis of 5 case-control studies that showed an inverse association between tea drinking and EC risk, either in the main analyses or in subgroup analyses (the association in 8 studies was statistically significant). Four studies reported ORs close to one, on both sides of the null line, which were not statistically significant. In addition, 6 other studies only stated that the results were not statistically significant, without reporting detailed results. We did not find a clear pattern of association by geographic region. However, the majority of the inverse associations were from East-Asian countries, especially China, where mostly green tea is used.
Temperature
Results for the association of tea drinking temperature and EC were reported in 14 publications. Of these, 7 individual case-control studies, a combined analysis of 5 other case-control studies, and a prospective study found an increased risk; of these, the association was statistically significant in 8 studies. Two case-control studies reported statistically non-significant inverse associations, and 3 other studies only stated that the results were not statistically significant, without reporting crude numbers or ORs.
Coffee
We found 22 independent papers, published between 1974 and 2008, that reported on the association between coffee intake and EC (Table 2). These included 17 individual case-control studies, a pooled analysis of 5 case-control studies, a pooled analysis of 2 case-control studies, and 3 cohort studies. Most reports (n = 14) were from the United States or Europe. Most studies included between 100 and 400 EC cases.
Table 2.
First author; year of publication (Country; period of study) |
Case / control a |
Amount, frequency, or status of coffee drinking |
OR/RR/HR (95% CI) b |
Coffee drinking Temperature |
OR/RR/HR (95% CI) b |
Comments (1. Study design; 2. histological subtypes of EC, if available; 3. matching criteria, if applicable; and 4. the adjustments in statistical models that were done for the presented results) |
---|---|---|---|---|---|---|
De Jong; 197441 (Singapore; 1970–1972) |
131 / 665 |
Coffee drinking frequency (men) Not daily Daily (women) Not daily Daily |
1 0.93 (NS/NR) 1 1.42 (NS/NR) |
(men) Other Burning hot (women) Other Burning hot |
1 4.22 (NR, P <0.01) 1 4.09 (NR, P <0.01) |
|
Jacobsen; 198678 (Norway; 1967– 1978) |
15 / See Notes |
Coffee drinking frequency (all) ≤2 cups/day 7+ cups/day (men) ≤2 cups/day 7+ cups/day |
1 1.19 (P = 0.85) 1 0.79 (P = 0.88) |
- | - |
|
Yu; 198845 (USA; 1975– 1981) |
275 / 275 |
Coffee drinking frequency, the manner of drinking (sipped or gulped), and coffee type (caffeinated or decaffeinated) |
NS/NR | Temperature | NS/NR |
|
Brown; 198846 (USA; 1982–1984 for ‘incidence series’,1977– 1981 for ‘mortality series’) |
207 / 422 | Coffee drinking amount | NS/NR | Temperature | NS/NR |
|
La Vecchia; 198979 (Italy; 1983– 1988) |
209 / 1944 |
Coffee drinking frequency 0–1 cup/day 2 cups/day 3+ cups/day |
1 0.90 (NS) 0.98 (NS) |
- | - |
|
Graham; 199047 (USA; 1975– 1986) |
178 / 174 | Coffee drinking amount | NS/NR | - | - |
|
Memik; 199250 (Turkey; not reported) |
78 / 610 | Coffee drinking amount | NS/NR | - | - |
|
Garidou; 199680 (Greece; 1989– 1991) |
43 ESCC and 56 EAC / 200 |
Coffee drinking frequency (ESCC) 1 cup/day more (EAC) 1 cup/day more |
1.15 (0.84–1.58) 1.11 (0.86–1.43) |
- | - |
|
Inoue; 199854 (Japan; 1990– 1995) |
185 / 21128 |
Coffee drinking frequency Rarely Occasionally 1–2 cups/day 3+ cups/day |
1 0.82 (0.51–1.31) 0.77 (0.52–1.12) 0.79 (0.46–1.36) |
- | - |
|
Castellsagué; 200058 (Argentina, Brazil, Uruguay, Paraguay; 1986– 1992) |
830 / 1779 |
Coffee drinking (status) Never-drinker Ever-drinker (amount) Non-drinker 1–500 ml/day >500 ml/day Coffee with milk (status) Never-drinker Ever-drinker (amount) Non-drinker 1–500 ml/day >500 ml/day |
1 1.04 (0.83–1.30) 1 0.96 (0.74–1.24) 1.26 (0.88-1.81) 1 1.15 (0.94–1.42) 1 1.12 (0.90–1.40) 1.31 (0.89–1.95) |
Coffee Cold/warm Hot Very hot Coffee with milk Cold/warm Hot Very hot |
1 0.54 (0.33–0.87) 1.01 (0.52–1.98) 1 0.89 (0.62–1.29) 2.29 (1.37–3.81) |
|
Bosetti; 200059 (Italy; 1992– 1997) |
304 / 743 |
Coffee & tea frequency ≤ 7.9 times/week 8–14.4 times/week 14.5–20.9 times/week 21.0–24.9 times/week 25+ times/week (quintiles) |
1 0.91 (0.56–1.48) 0.82 (0.47–1.43) 0.91 (0.57–1.44) 0.71 (0.42–1.19) |
- | - |
|
Terry; 200081 (Sweden; 1994– 1997) |
185 / 815 |
Coffee drinking frequency 0–2 cups/day 2–4 cups/day 4–7 cups/day >7 cups/day (quartiles) |
1 0.8 (0.5–1.4) 0.9 (0.5–1.5) 0.8 (0.5–1.4) |
- | - |
|
Cheng; 200061 (England, Scotland; 1993– 1996) |
74 / 74 |
Coffee drinking amount Never/<1 /day ≤ 3 dcl 4–7 dcl 8+ dcl |
1 0.65 (0.27–1.53) 1.62 (0.53–4.94) 1.95 (0.68–5.57) |
Tea or coffee Warm Hot Very/burning hot |
1 0.75 (0.32–1.76) 0.51 (0.18–1.45) |
|
Terry; 200162 (Sweden; 1995– 1997) |
167 ESCC and 189 EAC / 815 |
- | - |
Tea or coffee (ESCC) None, cold, lukewarm Hot Very hot (EAC) None, cold, lukewarm Hot Very hot |
1 1.0 (0.6–1.6) 0.8 (0.4–1.8) 1 0.7 (0.5–1.1) 0.6 (0.3–1.3) |
|
Sharp; 200164 (England, Scotland; 1993– 1996) |
159 / 159 | - | - |
Tea or coffee Very/burning hot Hot Warm |
1 0.75 (0.38–1.47) 0.34 (0.13–0.88) |
|
Onuk; 200267 (Turkey; 1999– 2000) |
44 / 100 |
Coffee drinking amount Low High |
1 0.8 (0.3–1.6) |
- | - |
|
Tavani; 200369 (Italy, Switzerland; 1991–1997) |
395 / 1066 |
Coffee drinking frequency ≤1 cup/day >1–2 cup/day >2–3 cup/day 3+ cup/day Decaffeinated coffee <1 cup/day 1+ cup/day |
1 1.1 (0.8–1.6) 0.9 (0.6–1.3) 0.6 (0.4–0.9) 1 0.6 (0.2–1.5) |
- | - |
|
Hung; 200470 (Taiwan; 1996– 2002) |
365 / 532 |
Coffee drinking frequency (age 20–40 years) <1 time/week 1+ times/week (age 40+ years) <1 time/week 1+ times/week |
1 0.7 (0.4–1.2) 1 0.7 (0.4–1.2) |
|
||
Ishikawa; 200673 (Japan; 1984– 1992 cohort 1, 1990–1997 cohort 2) |
78 / 196686 person-year |
Coffee drinking frequency Never drinkers 1–2 cups/day 3+ cups/day |
1 0.63 (0.32–1.27) 0.94 (0.36–2.45) |
- | - |
|
Gledovic; 200776 (Serbia; 1998– 2002) |
102 / 102 |
Coffee ever drinking and amount |
NS/NR | - | - |
|
Rossini; 200882* (Brazil; 1995– 2000) |
36 / 290 |
Coffee drinking frequency <5 times a week 5+ times a week |
1 1.89 (0.43–8.27) |
- | - |
|
Naganuma; 200883 (Japan; 1990– 2003) |
112 / 495138 person-year |
Coffee drinking frequency Never Occasionally 1+ cup/day |
1 0.56 (0.35–0.90) 0.60 (0.37–0.97) |
- | - |
|
Abbreviations: BMI, body mass index; EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell carcinoma; HR, hazard ration; NR, not reported; NS/NR, non-significant/not reported (when the exact OR or 95% CI was not reported but the association was reported as non-significant); OR, odds ratio; RR, relative risk; 95% CI, 95% confidence interval.
Number of cases and controls in case-control or prospective studies or number of person-years of follow-up in cohort studies, if it is indicated
If studies reported both crude and adjusted ORs (95% CIs), we only present the adjusted results.
These studies showed crude numbers but not ORs and 95% CIs; we calculated these statistics using simple logistic regression models and present them.
Amount consumed
Most studies (n = 20) reported one of the indicators of amount consumed and EC. Four case-control studies showed statistically non-significant positive associations. Seven studies reported an inverse association between coffee drinking and EC risk, of which only 1 prospective study from Japan and a combined analysis of 2 case-control studies from Italy and Switzerland showed statistically significant results for drinking 3 or more cups per day. Four other studies, including 2 prospective studies, showed non-significant results with ORs close to one, on both sides of null line. The remaining 5 studies only reported that the results were not statistically significant.
Temperature
Six individual case-control studies and a pooled analysis of 5 other case-control studies reported on temperature of coffee consumption in relation to EC risk. Of these, 2 individual studies and the pooled analysis showed an increased risk with drinking hot or very hot coffee, either in the main analyses or in subgroup analyses; 2 studies suggested statistically non-significant inverse associations, and 2 other studies only reported that the results were not statistically significant.
Maté
We found 4 independent papers, including 3 individual case-control studies and a combined analysis of 5 other case-control studies. These reports were published between 1985 and 2008 and all came from South American countries (Table 3).
Table 3.
First author; year of publication (Country; period of study) |
Case / control a |
Amount, frequency, duration, or status of maté drinking |
OR (95% CI) b | Maté drinking temperature |
OR (95% CI) b | Comments (1. Study design; 2. histological subtypes of EC, if available; 3. matching criteria, if applicable; and 4. the adjustments in statistical models that were done for the presented results) |
---|---|---|---|---|---|---|
Vassallo; 198584 (Uruguay; 1979– 1984) |
226 / 469 |
Ever vs. never maté use Men Women Maté drinking amount (men) Non-drinker 0.01–0.49 l/day 0.50–0.99 l/day 1.0+ l/day (women) Non-drinker 0.01–0.49 l/day 0.50–0.99 l/day 1.0+ l/day |
3.9 (2.0–7.5) 11.9 (2.0–69.6) 1 1.1 (0.2–5.0) 3.1 (1.2–7.8) 4.8 (1.9–12.1) 1 2.1 (0.1–31.7) 12.5 (2.0–80.1) 34.6 (4.9–246.5) |
- | - |
|
Castellsagué; 200058 (Argentina, Brazil, Uruguay, Paraguay; 1986– 1992) |
830 / 1779 |
Maté drinking (status) Never-drinker Ever-drinker Ex-drinker Current-drinker (amount) Nil 0.01–0.50 l/day 0.51–1.00 l/day 1.01–1.50 l/day 1.51–2.00 l/day >2.00 l/day (duration) Nil 1–29 years 30-39 years 40–49 years 50–59 years 60+ years (amount: cold/hot drinkers) ≤0.50 l/day 0.51–1.00 l/day 1.01–1.50 l/day 1.50+ l/day (amount: very hot drinkers) ≤0.50 l/day 0.51–1.00 l/day 1.01–1.50 l/day 1.50+ l/day |
1 1.52 (1.10–2.12) 1.87 (1.25–2.80) 1.47 (1.06–2.05) 1 1.39 (0.98–1.98) 1.34 (0.95–1.90) 1.96 (1.27–3.03) 2.03 (1.32–3.13) 3.04 (1.84–5.02) 1 1.40 (0.91–2.13) 1.39 (0.93–2.07) 1.53 (1.06–2.21) 1.47 (1.00–2.17) 1.92 (1.25–2.96) 1 0.91 (0.71–1.16) 1.50 (1.05–2.14) 1.38 (1.00–1.90) 0.99 (0.48–2.02) 1.59 (0.96–2.63) 0.73 (0.24–2.26) 4.14 (2.24–7.67) |
Cold/warm Hot Very hot |
1 1.11 (0.84–1.47) 1.89 (1.24–2.86) |
|
Sewram; 200385 (Uruguay; 1988– 2000) |
344 / 469 |
Maté drinking (status) Never-drinker Ever-drinker (lifetime amount) Nil 1–8000 l-years 8001–16000 l-years 16001–24000 l-years 24001+ l-years (duration) Nil 1–35 years 36–49 years 50–58 years 59+ years (daily amount) Nil 0.01–0.50 l 0.51–1.00 l 1.01+ l |
1 2.26 (1.19–4.27) 1 1.43 (0.68–3.01) 2.21 (1.12–4.35) 2.43 (1.22–4.83) 3.07 (1.53–6.16) 1 1.31 (0.61–2.81) 2.29 (1.16–4.52) 2.58 (1.27–5.24) 4.31 (1.99–9.34) 1 1.69 (0.85–3.35) 2.47 (1.28–4.77) 2.84 (1.41–5.73) |
Non-drinkers Warm/hot Very hot |
1 2.00 (1.05–3.81) 3.98 (1.98–8.44) |
|
De Stefani; 200886* and 200887* (Uruguay; 1996– 2004) |
234/936 for drinking amount 234/468 for drinking temperature |
Maté drinking amount Nil 0.01–0.99 l/day 1.00–1.99 l/day 2.00+ l/day |
1 1.86 (0.93–3.72) 3.05 (1.59–5.85) 3.30 (1.64–6.62) |
Warm Hot Very hot |
1 2.03 (1.23–3.34) 5.76 (2.92–11.35) |
|
Abbreviations: EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell carcinoma; OR, odds ratio; RR, relative risk;95% CI, 95% confidence interval.
Number of cases and controls
If studies reported both crude and adjusted ORs (95% CIs), we only present the adjusted results.
These studies showed crude numbers but not ORs and 95% CIs; we calculated these statistics using simple logistic regression models and present them.
Amount consumed
All reports showed significantly increased EC risk with amount consumed, with approximately 3-fold higher risk in those in the highest category of consumption compared to those who did not consume maté. The pooled analysis of the case-control studies found that amount per day and duration of drinking both increased risk.
Temperature
Three of these publications reported on the association of temperature of maté drinking and EC risk and all showed significant increased risk with increasing temperature. Mutual adjustment for temperature and amount in the pooled analysis suggested that amount and temperature of use were independent risk factors for EC.
High temperature food or other drinks
We found 19 publications (17 individual case-control studies, a combined analysis of 5 other case-control studies, and 1 prospective study) that presented results on the association of consumption of high temperature food, other drinks, or all beverages combined with risk of EC (Table 4). The reports were published between 1974 and 2008, and the studies were conducted in South Americas, Europe, Africa, and South and East Asia. For this category, we only present results on temperature.
Table 4.
First author; year of publication (Country; period of study) |
Case / control a |
Food or drink temperature | OR/RR (95% CI)b | Comments (1. Study design; 2. histological subtypes of EC, if available; 3. matching criteria, if applicable; and 4. the adjustments in statistical models that were done for the presented results) |
---|---|---|---|---|
De Jong; 197441 (Singapore; 1970–1972) |
131 / 665 |
Barely temperature (men) Other Burning hot (women) Other Burning hot |
1 6.97 (P < 0.01) 1 15.28 (P < 0.01) |
|
Astini; 199088* (Ethiopia; 1988– 1989) |
25 / 50 |
High temperature food Non-user User |
1 36.0 (4.5–287.8) |
|
Cheng; 199289 and 199590 (Hong Kong; 1989–1990) |
400 / 1598 (68 never smoker & 52 never drinker / 540 never smoker & 407 never drinker) |
Preference for hot drinks or soups (all participants) No Yes (never smokers) No Yes (never drinkers) No Yes |
1 1.64 (1.30–2.08) 1 1.51 (0.80–2.83) 1 1.76 (0.90–3.45) |
|
Hu; 199451 (China; 1985– 1989) |
196 / 392 |
Eaten gruel temperature Cold Mild Hot Scalding |
1 1.1 (0.4–3.4) 2.4 (0.9–6.4) 5.3 (1.4–20.9) |
|
Gao, YT; 199452 and 199491 (China; 1990– 1993) |
902 / 1552 |
Burning hot fluids (men) No + no green tea drinking Yes + no green tea drinking No + green tea drinking Yes + green tea drinking (women) No + no green tea drinking Yes + no green tea drinking No + green tea drinking Yes + green tea drinking Soup/porridge (men) Cold/lukewarm Hot Burning hot (women) Cold/lukewarm Hot Burning hot |
1 4.80 (2.85–8.08) 0.88 (0.61–1.29) 3.09 (1.94–4.93) 1 4.78 (2.89–7.90) 0.50 (0.27–0.91) 2.00 (0.75–5.07) 1 1.21 (0.88–1.66) 4.75 (3.33–6.79) 1 1.90 (1.29–2.79) 6.77 (4.09–11.20) |
|
Hanaoka; 199492 (Japan; 1989– 1991) |
141 / 141 |
High temperature food and drink Dislike Indifferent Like |
1 2.06 (0.94–4.52) 2.99 (1.18–7.55) |
|
Guo; 199493 (China; 1986– 1991) and Tran; 200594 (China; 1986– 2001) |
640 / 3200 |
Hot liquids 0 time/month 1+ times/month |
1 0.9 (0.7–1.0) |
|
1958 / 29584 |
Hot liquid in summer 0 time/year 1+ times/year Hot liquid in winter 0 time/year 1+ times/year |
1 0.96 (0.87–1.07) 1 0.95 (0.87–1.04) |
|
|
Srivastava; 199553 (India; not reported) |
75 / 75 |
Food temperature Warm Hot |
1 NS/NR |
|
Garidou; 199680 (Greece; 1989– 1991) |
43 ESCC and 56 EAC / 200 |
Preference for beverage & food (ESCC) Cold to hot Very hot (EAC) Cold to hot Very hot (ESCC + EAC) Cold to hot Very hot |
1 1.89 (0.80–4.49) 1 1.82 (0.85–3.91) 1 >1 (NR, P = 0.02) |
|
Castellsagué; 200058 (Argentina, Brazil, Uruguay, Paraguay; 1986–1992) |
830 / 1779 |
Beverage temperature (any beverage, excluding maté) Never very hot Ever very hot (any beverage, including maté) Never very hot Ever very hot |
1 2.45 (1.72–3.49) 1 2.07 (1.55–2.76) |
|
Nayar; 200060 (India; 1994– 1997) |
150 / 150 |
Food temperature Warm Hot |
1 0.68 (NS/NR) |
|
Phukan; 200195 (India; 1997– 1998) |
502 / 1004 |
Food temperature Moderate Cold Hot |
1 1.2 (0.04–4.1) 2.8 (P <0.05) [See Note] |
|
Yokoyama; 200296* (Japan; 2000– 2001) |
234 / 634 |
Preference for high temperature food (categories: Dislike very much, Dislike somewhat, Neither like nor dislike, Like somewhat, Like very much) |
NS/NR |
|
Hung; 200470 (Taiwan; 1996– 2002) |
365 / 532 |
Hot drink or soup (age 20–40 years) <3 times/week 3+ times/week (age 40+ years) <3 times/week 3+ times/week Eating overheated food (age 20–40 years) No Yes (age 40+ years) No Yes |
1 1.8 (1.1–3.0) 1 1.3 (0.8–2.1) 1 2.7 (1.6–4.4) 1 2.1 (1.3–3.4) |
|
Yang; 200572 (China; 2003– 2004) |
185 / 185 |
Eating high temperature food Rarely Occasionally Often |
1 0.43 (0.17–1.09) 0.40 (0.14–1.16) |
|
Yokoyama; 200697 (Japan; 2000– 2004) |
52 / 412 |
Preference for hot food or drinks Dislike very much Dislike somewhat Neither like nor dislike Like somewhat Like very much |
1 0.21 (0.01–3.60) 1.00 (0.12–8.17) 1.53 (0.18–12.92) 3.43 (0.39–30.46) |
|
Wu, M; 200698 (China; 2003– 2005) |
531 / 531 (291 / 291 from a high risk and 240 / 240 from a low risk area) |
Food temperature (high risk area) Normal Hot (low risk area) Normal Hot |
1 0.51 (0.24–1.09) 1 1.14 (0.55–2.41) |
|
Wang, JM; 200775 (China; 2004– 2006) |
355 / 408 (223/252 men, 132/156 women) |
Food temperature (men) Warm Hot (women) Warm Hot |
1 2.13 (1.39–3.25) 1 3.05 (1.73–5.36) |
|
Rossini; 200882* (Brazil; 1995– 2000) |
36 / 290 |
Hot drinks <1 time a week 1–2 times a week 3–4 times a week 5+ times a week Food temperature Cool Warm Hot |
1 0.69 (0.20–2.41) 0.71 (0.09–5.75) 1.14 (0.44–2.97) 1 1.13 (0.27–4.66) 0.98 (0.20–4.82) |
|
Abbreviations: EAC, esophageal adenocarcinoma; ESCC, esophageal squamous cell carcinoma; OR, odds ratio; RR, relative risk;95% CI, 95% confidence interval.
Number of cases and controls
If studies reported both crude and adjusted ORs (95% CIs), we only present the adjusted results.
These studies showed crude numbers but not ORs and 95% CIs; we calculated these statistics using simple logistic regression models and present them.
Temperature
In all, 11 individual case-control studies and the combined analysis showed positive associations (11 were statistically significant), whereas 2 case-control studies found statistically non-significant inverse associations. Two case-control studies and the prospective study reported ORs close to one, on both sides of null line, with no statistically significant association. Two other studies only stated that the results were not statistically significant, without reporting crude numbers or ORs.
Summary of all hot foods and drinks
A summary of the associations between amount or temperature of consumed tea, coffee, or maté, or consumption of high temperature food or other beverages, and risk of EC is presented in Table 5.
Table 5.
Variable | Prospective |
Case-control |
|||||||
---|---|---|---|---|---|---|---|---|---|
↓ | ↑ | ↔ | NS/NR | ↓ | ↑ | ↔ | NS/NR | Total | |
Tea (38 papers) | |||||||||
Amount | 2 (0) | 1 (0) | 0 | 0 | 14 (8‡*) | 6 (4) | 4** | 6 | 33 |
Temperature | 0 (0) | 1 (1) | 0 | 0 | 2 (0) | 8 (7*) | 0 | 3 | 14 |
Coffee (22 papers) | |||||||||
Amount | 1 (1) | 0 (0) | 2 | 0 | 6 (1**) | 4*(0) | 2 | 5 | 20 |
Temperature | 0 (0) | 0 (0) | 0 | 0 | 2 (0) | 3 (3*∫) | 0 | 2 | 7 |
Maté (4 papers) | |||||||||
Amount | 0 (0) | 0 (0) | 0 | 0 | 0 | 4 (4*) | 0 | 0 | 4 |
Temperature | 0 (0) | 0 (0) | 0 | 0 | 0 | 3 (3*) | 0 | 0 | 3 |
Temperature of food or other beverages (29 papers) |
0 (0) | 0 (0) | 1┴ | 0 | 2 (0) | 12 (11*) | 2 | 2 | 19 |
Numbers in parentheses represent statistically significant studies.
Associations: ↓, decreased risk; ↑, increased risk; ↔, ORs close to 1 or ORs with no clear trend in two sides of null line; NS/NR, there was no statistically significant association but crude numbers or ORs were not reported or ORs for adjusted models cannot be calculated.
In two studies, the inverse association was observed only among women.
One of the studies was a pooled analysis of 5 other studies.
One of the studies was a pooled analysis of 2 other studies.
In the pooled analysis of 5 other studies, the positive association was reported for drinking very hot coffee and milk.
In the nested control study, an odds ratio (95% confidence interval) of 0.9 (0.7–1.0) was reported. When the cases from an extended study were compared with a sub-cohort, no significant association was found.
Discussion
In this systematic review, we collected the published literature on the association between consuming tea, coffee, maté, or other high-temperature beverages or foods and risk of EC. We analyzed the results for amount consumed and temperature of drinking separately. For tea and coffee, there was little evidence that the amount consumed was associated with EC risk, but the majority of the publications reported statistically significant increased risks associated with higher temperature of use. For maté, individual studies and the combined analyses showed increased risk of EC associated with both amount consumed and with temperature of drinking, and these two seemed to be independent risk factors. For other hot foods and drinks, the majority of studies showed higher risk of EC associated with higher temperature of use.
There are several limitations to making definitive conclusions about the association of amount or temperature of these drinks with EC risk. Some of these limitations are due to the design of the published studies (retrospective nature of the data, subjective questions, incomplete questionnaires, and lack of information on histologic type of EC) and others are due to incomplete analysis or reporting of the data. The large majority of the reports were based on retrospective case-controls studies, so the data might have been subject to interviewer bias or recall bias. This is further complicated by asking subjective questions, such as “how hot do you drink your tea?”, which can be particularly prone to such biases. To our knowledge, very few published studies have actually measured the actual temperature of tea, coffee, or maté drinking (reviewed in ref 22). Obtaining data on amount or frequency of drinking per day, total duration of drinking, sip size (or an indicator of this), and temperature of drinking are important. Unfortunately, many of the published studies did not collect data on several of these factors or did not report the results; studying the effect of hot temperature drinks was not the main aim of most of these studies. Furthermore, few studies adjusted the results of drinking temperature for amount consumed and vice versa, and many studies failed to adjust the results for other confounders. Also, many studies combined the results for several types of beverages (e.g., tea and coffee), which made it difficult to look at effects of these drinks separately; this problem was more prominent for black and green tea use. A number of studies reported that the results were not significant, but provided no counts or ORs (95% CIs). Such incomplete reporting prohibits use of the results in future meta-analyses. There is a large body of evidence suggesting that the risk factors for ESCC and EAC may be different. For example, there is strong evidence for a positive dose-response association between body mass index and risk of EAC,100 whereas several studies have reported an inverse association between body mass index and risk of ESCC.99 Nevertheless, few studies reported the results for ESCC and EAC separately.
Because of large heterogeneity in design and reporting, and also incomplete reporting in several studies, we conducted a systematic review but avoided formal combination of the results as a meta-analysis. However, many of the limitations mentioned above can be addressed in future studies. Using a standard questionnaire across studies would help in collecting uniform data. Actual measurement of tea temperature is already being conducted in a cohort study in Iran,22,101 where very high rates of ESCC are seen.102,103 In this study, two simultaneous cups of tea are poured; one is given to the study subject and a thermometer is put in the second cup.101 At intervals of 5°C (75°C, 70°C, 65°C, …) the subject is asked to sip the tea and tell the interviewer whether this is the usual temperature at which he/she drinks tea. This method for measuring tea temperature had shown a very good repeatability 101 and can be used in future studies, especially in areas with very high risk of EC. Measurement of relevant metabolites in biological samples might be helpful to validate the self-reported data on amount of consumed beverages.
Thermal injury may cause EC via both direct and indirect pathways. Inflammatory processes associated with chronic irritation of the esophageal mucosa by local hyperthermia might stimulate the endogenous formation of reactive nitrogen species, and subsequently, nitrosamines.104 This hypothesis is supported by high rates of somatic G > A transitions in CpG dinucleotides of the TP53 gene in ESCC tumor samples from areas in which drinking hot beverages is considered an important risk factor for ESCC;105–108 these mutations may indicate increased nitric oxide synthase activity in tumors.109 Thermal injury can also impair the barrier function of the esophageal epithelium, which may increase the risk of damage from exposure to intra-luminal carcinogens.110 An association between hot drinks and precancerous lesion of the esophagus has also been reported.111,112 Nevertheless, further prospective studies are indicated to investigate the association between high-temperature beverage or food consumption and risk of EC.
Chemical composition of tea, coffee, and maté has been reviewed in detail elsewhere.21 Some constituents of tea, coffee, and maté may have anti-carcinogenic properties; for example, flavonoids and caffeine show antioxidant activities.12,13,113 Composition of the beverages may change during production procedures; for example, in production of black tea and coffee, fermentation of tea leaves reduces a large percentage of some flavonoids,12,13 and severe roasting of coffee beans can considerably reduce their total cholorogenic acid content.21 Furthermore, black tea and maté may acquire some potentially carcinogenic contaminants, such as polycyclic aromatic hydrocarbons (PAH) and mycotoxins, when being processed;114,115 high levels of PAH exposure has been reported among black tea and maté drinkers.116,117 Both black and green tea drinking may increase plasma antioxidant activity in humans.118 On the other hand, in a clinical trial in Linxian and Huixian, China, decaffeinated green tea was not shown to have beneficial effects in alleviating esophageal precancerous lesions and abnormal cell proliferation patterns after 11 years of follow-up.119 Other hot foods and drinks, such as foods containing processed meat and preserved fish,120 may potentially have carcinogenic chemical constituents. However, most studies used in this review compared the intake of the same food in higher versus lower temperatures. Therefore, unless higher temperature results in further formation or release of carcinogens, the results should not be confounded by chemical constituents, and any association should be attributed to thermal injury.
Although the number of studies that reported inverse associations between amount of tea or coffee consumed is higher than the number of studies that showed positive associations, the overall results are mixed. Despite cancer preventive activity of tea in experimental studies, it is not clear why epidemiological studies have not consistently shown an inverse association between tea drinking and risk of EC. Furthermore, all of the epidemiological studies that showed a statistically significant inverse association between tea drinking and risk of EC were case-control studies. In case-control studies, a possible reduction in tea intake by EC cases following their symptoms might lead to under-reporting of past tea consumption, and subsequently, resulting in spurious inverse associations. Tea and coffee contain several compounds other than flavonoids21 and may have some contaminants, which their interactions and their complex metabolisms might alter the protective effect of the individual compounds.17 It has also been suggested that flavonoids, or other anti-oxidants, in high doses may act as pro-oxidant that can generate free radicals, which may lead to DNA damage and finally irreversible pre-neoplastic lesions (reviewed in refs. 8,121).
In conclusion, there was little evidence for an association between EC risk and amount of tea or coffee consumed but the results suggest an increased risk of EC associated with higher drinking temperature. Amount, duration, and temperature of maté intake were all associated with higher EC risk, but number of the studies that investigated these associations was limited. For other hot foods and drinks, there was some evidence showing increased risk with higher temperature. Overall, the available results strongly suggest that high-temperature beverage drinking increases the risk of EC. Future studies will require standardized strategies that allow for combining data, and results should be reported by histological subtypes of EC.
Acknowledgements
This study was supported in part by the Intramural Research Program of the National Cancer Institute, National Institutes of Health.
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