Literature DB >> 14520448

Food groups and risk of squamous cell carcinoma of the oesophagus: a case-control study in Uruguay.

E De Stefani1, H Deneo-Pellegrini, A L Ronco, P Boffetta, P Brennan, N Muñoz, X Castellsagué, P Correa, M Mendilaharsu.   

Abstract

In the time period January 1998-December 2000, a case-control study on squamous cell cancer of the oesophagus was conducted in Montevideo, Uruguay. The main objective of the study was to estimate the odds ratios (ORs) associated with main food groups. For this purpose, 166 patients afflicted with squamous cell oesophageal cancer and 664 hospitalised controls were frequency matched on age and sex. Both series of patients were administered with a structured questionnaire. Aside from queries related with tobacco smoking, alcohol drinking and maté drinking, patients were interviewed with a food-frequency questionnaire (FFQ) on 64 items, representative of the usual Uruguayan diet. Red meat, salted meat and boiled meat displayed strong direct associations (OR for red meat 2.4, 95% CI 1.4-4.2). On the other hand, fish and total white meat showed moderate protective effect (OR for total white meat 0.5, 95% CI 0.3-0.9). Total fruit intake displayed a strong inverse association (OR 0.2, 95% CI 0.1-0.4), whereas total vegetable consumption presented a weak inverse association (OR for total vegetable intake 0.7, 95% CI 0.4-1.2). These results suggest that vegetables, mainly cooked vegetables, are rich in thermolabile protective substances. On the other hand, boiled (stewed) meat, which is ingested at high temperature could be, like maté, a risk factor for squamous cell cancer of the oesophagus.

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Mesh:

Year:  2003        PMID: 14520448      PMCID: PMC2394307          DOI: 10.1038/sj.bjc.6601239

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


Nutritional deficiencies have been suspected as risk factors for squamous cell oesophageal cancer for more than 20 years in Eastern countries, like Iran and China (Cook-Mozaffari ; Thurnham ; Hu ). Recent reviews reported on the protective role of vegetables and fruits (Cheng and Day 1996; World Cancer Research Fund 1997). On the other hand, tobacco smoking and alcohol drinking have been considered as the main risk factors in Western countries, like US and European countries (Pottern ; Launoy ; Bosetti ). Even in Western countries, diet could play a major role (Cheng and Day, 1996, Launoy ). South American countries display high rates of oesophageal cancer, and six case–control studies (Victora ; De Stefani ,1991; Castelletto ; Rolón ; Castellsagué ) suggested that hot-maté drinking could be a risk factor for this malignancy. In these studies, tobacco smoking, alcohol drinking and diet also played an important role. Nevertheless, in these studies food groups were restricted by a limited food-frequency questionnaire (FFQ). Finally, two studies, conducted rather recently in Uruguay, examined in detail the role of meat and plant foods in the aetiology of oesophageal cancer (De Stefani ,2001). Since the present study examined 64 food items, and included more than 30 new cases of the malignancy, we considered that the results could be more informative than the results of previous studies. This study, like other hospital based case–control studies, is limited by a number of drawbacks. Recall bias is an important limitation, mainly for cases, and could result in misclassification bias. For this reason, we decided to interview patients about their consumption habits 2 years before the date of the interview. Interviewer bias was avoided by careful training of the workers who personally conducted the interviews. Finally, the lack of validation study of the FFQ is a limitation. On the other hand, the high response rates, both for cases and controls are a strength of this research. Therefore, we decided to examine the role of foods in the aetiology of squamous cell carcinoma of the oesophagus.

MATERIAL AND METHODS

In the time period January 1998–December 2001, a case–control study on squamous cell carcinoma of the oesophagus was carried out in the four major hospitals in Montevideo, Uruguay. In this period, 175 newly diagnosed and histologically verified cases with squamous cell cancer of the oesophagus were considered eligible for the study. Nine patients (5.1%) were too ill and it was decided to exclude this subset of patients. The final number of cases was 166 (response rate 94.8%). In the same time period and in the same hospitals, 692 patients with conditions not related with tobacco smoking, alcohol drinking and without recent changes in their diets were considered eligible for the study. From this initial number of patients, 28 refused the interview, leading a final total of 664 controls (response rate 95.9%). These controls were frequency matched to cases on age (in decennia) and sex. Controls were afflicted by the following diseases: eye disorders (181 patients, 27.3%), abdominal hernia (145, 21.8%), acute appendicitis (54, 8.1%), diseases of the skin (54, 8.1%), injuries (51, 7.7%), varicose veins (43, 6.5%), urinary stones (33, 5.0%), hydatid cyst (33, 5.0%) blood disorders (33, 5.0%), fractures (32, 4.8%) and osteoarticular disorders (five, 0.7%). Both cases and controls were administered with a questionnaire shortly after admission. The interviewers were two trained social workers, mostly unawere of the dietary risk factors for oesophageal cancer. The questionnaire included the following sections: (1) a sociodemographic section, (2) a complete tobacco smoking section, (3) a complete alcohol drinking section, (4) a maté section, including queries on daily amount, years of ingestion and temperature, (5) a complete occupation history, including job titles, industry and years of employment, (6) a family history of cancer in first-degree relatives, (7) self-reported height and weight 5 years before the date of the inteview, (8) menstrual and reproductive events and (9) a FFQ on 64 food items, considered representative of the usual Uruguayan diet. This FFQ was not validated but was tested for reproducibility with reasonably good results. In brief, foods and beverages were recorded as servings per year. Foods and food groups are shown in appendix.

Statistical methods

Food groups were categorised in quartiles, following the distribution of the control series. In order to compensate overeating or undereating, foods were energy adjusted by the residuals method of Willett and Stampfer (1986). The main food groups (meats, dairy foods, plant foods) were compared with each control condition, taking eye disorders as the referent disease by polytomous regression (Hosmer and Lemeshow, 1989). The results were homogeneous for each food group (data not shown). Relative risks, approximated by the odds ratios (ORs), were estimated by multiple logistic unconditional regression (Breslow and Day, 1980). Tests for trend were calculated after entering the categorical variables as continuous. All calculations were performed with the STATA programme (1999).

RESULTS

The distribution of cases and controls by sociodemographic variables and selected risk factors is shown in Table 1 . As expected from the frequency-matched design, age and sex were similarly distributed among both series. Also, residence and urban/rural status were mostly similar among cases and controls. Cases were significantly less educated and showed similar income compared with controls. On the other hand, cases displayed a significantly lower body mass index (P=0.005), whereas total calory intake was slightly higher among cases as compared with controls (P=0.56). Cases consumed a higher amount of cigarettes than controls (P<0.001), and ingested more alcohol (P=0.02). Maté ingestion was higher among cases compared with controls (P=0.01) and maté drinked very hot was associated with a strong elevation in risk (OR 3.82, 95% CI 1.47–9.93, P-value <0.001).
Table 1

Distribution of cases and controls by sociodemographic variables and other risk factors

VariableCasesControlsOR95 % CIP-value for trend
Age (years)
 40–4910 (6.0)40 (6.0)   
 50–5934 (20.5)136 (20.5)   
 60–6960 (36.1)240 (36.1)   
 70–7948 (28.9)192 (28.9)   
 80–8914 (8.4)56 (8.4)NA (2)  
      
Sex     
 Male137 (82.5)548 (82.5)   
 Female29 (17.5)116 (17.5)NA (2)  
Residence     
 Montevideo63 (37.9)269 (40.5)1.0
 Other counties103 (62.1)395 (59.5)1.10.8–1.6 
      
Urban/rural status     
 Urban123 (74.1)501 (75.5)1.0  
 Rural43 (25.9)163 (24.5)1.10.7–1.6 
      
Education (years)     
0–260 (36.1)205 (30.9)1.0  
3–569 (41.6)224 (33.7)1.00.7–1.6 
6+37 (22.3)235 (35.4)0.50.3–0.80.008
      
Income (US dollars)     
 ⩽15351 (30.7)257 (38.7)1.0  
 154+64 (38.6)243 (36.6)1.30.9–2.0 
 Unknown51 (30.7)164 (24.7) 
      
Body mass index     
 ⩽23.264 (38.6)167 (25.1)1.0  
 23.3–25.239 (23.5)165 (24.9)0.60.4–0.9 
 25.3–27.430 (18.1)166 (25.0)0.50.3–0.8 
 27.5+33 (19.9)166 (25.0)0.50.3–0.80.002
      
Total energy intake
 ⩽178135 (21.1)166 (25.0)1.0  
 1782–215539 (23.5)166 (25.0)1.10.7–1.8 
 2156–258543 (25.9)166 (25.0)1.20.7–2.0 
 2586+49 (29.5)166 (25.0)1.40.9–2.30.15
      
Tobacco smokingc     
 Non-smokers29 (17.5)201 (30.3)1.0  
 1–2419 (11.4)134 (20.2)0.90.5–1.8 
 25–4428 (16.9)120 (18.1)1.60.9–2.8 
 45–6440 (24.1)109 (16.4)2.51.5–4.4 
 65+50 (30.1)100 (15.1)3.52.0–3.9<0.001
      
Alcohol drinkingd
Non-drinkers50 (30.1)273 (41.1)1.0  
 1–6029 (17.5)134 (20.2)1.20.7–1.9 
 61–12034 (20.5)114 (17.2)1.60.9–2.6 
 121–24030 (18.1)89 (13.4)1.81.1–3.1 
 241+23 (13.9)54 (8.1)2.31.3–4.10.0005
      
Maté drinkinge     
 Non-drinkers6 (3.6)83 (12.5)1.0  
 0.1–0.936 (21.7)126 (19.0)3.91.6–9.9 
 1.0–1.992 (55.4)329 (49.5)3.91.6–9.2 
 2.0+32 (19.3)126 (19.0)3.51.4–8.90.04
      
Maté temperature     
 Warm9 (5.7)29 (7.6)1.0  
 Hot117 (74.0)324 (85.3)1.20.5–2.5 
 Very hot32 (20.3)27 (7.1)3.81.5–9.90.0002
      
Type of tobacco     
 Non-smokers29 (17.5)201 (30.3)1.0  
 Blond85 (51.2)320 (48.2)1.81.2–2.9 
 Black52 (31.3)143 (21.5)2.51.5–4.20.0003
      
Type of cigarette     
 Non-smokers29 (17.5)201 (30.3)1.0  
 Manufactured34 (20.5)149 (22.4)1.60.9–2.7 
 Hand-rolled103 (62.0)314 (47.3)2.31.4–3.60.0002
 No. of patients166 (100)664 (100)   

Unadjusted odds ratios.

Percentages among brackets.

Pack-years.

Mililitres of ethanol.

Litres day−1.

Unadjusted odds ratios. Percentages among brackets. Pack-years. Mililitres of ethanol. Litres day−1. Odds ratios of squamous cell cancer of the oesophagus for significant foods are shown in Table 2 . Red meat, stewed meat, salted meat and total grains were directly associated with risk of oesophageal cancer (OR for high intake of stewed meat 2.04, 95% CI 1.16–3.58, P-value for trend=0.002). White meat, fish, cheese, raw vegetables, citrus fruits, other fruits, total fruits, total vegetables and fruits and pulses were inversely associated with risk of squamous cell carcinoma of the oesophagus (OR for high intake of citrus fruits 0.18, 95% CI 0.09–0.36, P-value for trend <0.001).
Table 2

Odds ratios of squamous cell cancer of the esophagus for significant food groups

FoodaCasesbControlsbORcORd95% CI
Red meat
 ⩽23426 (15.7)166 (25.0)1.01.0 
 235–36539 (23.5)166 (25.0)1.501.350.75–2.42
 366–46936 (21.5)167 (25.1)1.381.170.64–2.11
 470+65 (39.2)165 (24.9)2.512.431.40–4.23
  P-value trend<0.0010.002 
      
White meat
 ⩽2466 (39.8)166 (25.0)1.01.0 
 25–7637 (22.3)166 (25.0)0.560.610.38–1.00
 77–13032 (19.3)166 (25.0)0.480.550.33–0.92
 131+31 (18.7)166 (25.0)0.470.510.30–0.86
  P-value trend0.0010.008 
      
Fish
 056 (33.7)166 (25.0)1.01.0 
 1–1246 (27.7)166 (25.0)0.820.900.55–1.48
 13–5237 (22.3)166 (25.0)0.660.780.47–1.30
 53+27 (16.3)166 (25.0)0.430.530.30–0.92
  P-value trend0.0030.02 
      
Salted meat
 0128 (77.1)558 (84.0)1.01.0 
 1–7814 (8.4)66 (9.9)0.920.880.46–1.68
 79+24 (14.5)40 (6.0)2.612.191.21–3.98
  P-value trend0.0020.03 
      
Stewed meat
 ⩽7826 (15.7)166 (25.0)1.01.0 
 79–14230 (18.1)166 (25.0)1.151.000.54–1.85
 143–23451 (30.7)166 (25.0)1.961.801.02–3.16
 235+59 (35.5)166 (25.0)2.272.041.16–3.58
  P-value trend<0.0010.002 
      
Grains
 ⩽79431 (18.7)166 (25.0)1.01.0 
 795–109440 (24.1)166 (25.0)1.291.260.72–2.22
 1095–167841 (24.7)166 (25.0)1.321.190.69–2.07
 1679+54 (32.5)166 (25.0)1.741.801.05–3.08
  P-value trend0.030.04 
      
Cheese
 ⩽5254 (32.5)166 (25.0)1.01.0 
 53–7845 (27.1)166 (25.0)0.830.860.53–1.39
 79–23432 (19.3)166 (25.0)0.590.610.36–1.02
 235+35 (21.1)166 (25.0)0.650.610.36–1.03
  P-value trend0.030.03 
      
Raw vegetables
 ⩽7265 (39.2)166 (25.0)1.01.0 
 73–15646 (27.7)166 (25.0)0.710.800.50–1.28
 157–31232 (19.3)166 (25.0)0.490.510.31–0.85
 313+23 (13.8)166 (25.0)0.360.390.22–0.68
  P-value trend<0.001<0.001 
      
Citrus fruits
 070 (42.2)166 (25.0)1.01.0 
 1–7848 (28.9)166 (25.0)0.680.620.39–0.99
 79–18235 (21.1)166 (25.0)0.500.470.28–0.77
 183+13 (7.8)166 (25.0)0.180.180.09–0.36
  p-value trend<0.001<0.001 
      
Other fruits
 ⩽14063 (37.9)166 (25.0)1.01.0 
 141–26248 (28.9)166 (25.0)0.760.800.50–1.27
 263–48830 (18.1)166 (25.0)0.480.540.32–0.91
 489+25 (15.1)166 (25.0)0.400.540.31–0.95
  P-value trend<0.0010.009 
      
Total fruits
 ⩽22278 (47.0)166 (25.0)1.01.0 
 223–40044 (26.5)166 (25.0)0.560.560.35–0.89
 401–61531 (18.7)166 (25.0)0.390.450.27–0.75
 616+13 (7.8)166 (25.0)0.170.190.10–0.37
  P-value trend<0.001<0.001 
      
Total veg.and fruits
 ⩽65867 (40.4)166 (25.0)1.01.0 
 659–98647 (28.3)166 (25.0)0.700.750.47–1.20
 987–140531 (18.7)166 (25.0)0.460.530.32–0.89
 1406+21 (12.6)166 (25.0)0.310.380.21–0.68
  P-value trend<0.001<0.001 
      
Pulses
 ⩽647 (28.3)166 (25.0)1.01.0 
 7–1748 (28.9)166 (25.0)1.020.750.45–1.24
 18–3635 (21.1)166 (25.0)0.740.660.39–1.12
 37+36 (21.7)166 (25.0)0.760.590.35–0.99
  P-value trend0.150.04 

Servings per year.

Percentages among brackets.

Unadjusted ORs.

Odds ratios adjusted for age, sex, residence, urban/rural status, education, body mass index, tobacco smoking, alcohol drinking, maté drinking and total energy intake.

Servings per year. Percentages among brackets. Unadjusted ORs. Odds ratios adjusted for age, sex, residence, urban/rural status, education, body mass index, tobacco smoking, alcohol drinking, maté drinking and total energy intake. Total processed meat (see appendix), fried meat, barbecued meat, total dairy foods, butter, whole milk, ice cream, boiled eggs, fried eggs, all desserts, total fat-rich foods (red meat, processed meat, dairy foods, eggs and desserts), cooked vegetables, tubers and total plant foods (all vegetables, all fruits, grains, tubers and pulses) were not associated with risk of squamous cell carcinoma of the oesophagus. The final model after including all significant foods is shown in Table 3 . This model included total white meat (poultry, fish), stewed meat, salted meat, raw vegetables and citrus fruits, citrus fruits being the strongest term (OR for low intake of citrus fruits 5.26, P-value <0.001). Among nondietary factors, tobacco smoking remained significantly associated with risk of squamous cell carcinoma of the oesophagus (OR for heavy smokers 3.45, 95% CI 1.71–7.00, P-value for trend <0.0001). Also, maté temperature was significantly and positively associated with the malignancy (OR for drinkers of very hot maté 2.09, 95% CI 1.25–3.53). Finally, alcohol drinking displayed a significant increased risk (OR 2.32, 95% CI 1.13–4.77) (data not included in Table 3).
Table 3

Final model including food groups

FoodaCasesbControlsbORcORd95 % CI
White meat
 ⩽2466 (39.8)166 (25.0)1.01.0 
 25–7637 (22.3)166 (25.0)0.560.640.38–1.09
 77–13032 (19.3)166 (25.0)0.480.560.32–0.97
 131+31 (18.7)166 (25.0)0.470.540.31–0.96
  P-value trend0.0010.04 
      
Salted meat
 0128 (77.1)558 (84.0)1.01.0 
 1–7814 (8.4)66 (9.9)0.921.000.50–2.01
 79+24 (14.5)40 (6.0)2.612.341.22–4.49
  P-value trend0.0010.04 
      
Stewed meat
 ⩽7826 (15.7)166 (25.0)1.01.0 
 79–14230 (18.1)166 (25.0)1.150.830.44–1.55
 143–23451 (30.7)166 (25.0)1.961.490.83–2.67
 235+59 (35.5)166 (25.0)2.271.801.01–3.24
  P-value trend<0.0010.007 
      
Raw vegetables
 ⩽7265 (39.2)166 (25.0)1.01.0 
 73–15646 (27.7)166 (25.0)0.710.990.61–1.64
 157–31232 (19.3)166 (25.0)0.490.650.38–1.10
 313+23 (13.8)166 (25.0)0.360.510.28–0.93
  P-value trend<0.0010.009 
      
Citrus fruits
 070 (42.2)166 (25.0)1.01.0 
 1–7848 (28.9)166 (25.0)0.680.610.37–0.98
 79–18235 (21.1)166 (25.0)0.500.490.29–0.82
 183+13 (7.8)166 (25.0)0.180.190.10–0.38
  P-value trend<0.001<0.001 

Servings per year.

Percentages among brackets.

Unadjusted ORs.

Odds ratios adjusted for age, sex, residence, urban/rural status, education, body mass index, tobacco smoking, alcohol drinking, maté drinking, total energy intake and for each other.

Servings per year. Percentages among brackets. Unadjusted ORs. Odds ratios adjusted for age, sex, residence, urban/rural status, education, body mass index, tobacco smoking, alcohol drinking, maté drinking, total energy intake and for each other.

DISCUSSION

According to the results of the present study, red meat, stewed meat and salted meat were associated with moderate to strong effects on the risk of squamous cell oesophageal carcinoma. On the other hand, white meat, poultry and fish displayed moderate inverse associations with oesophageal cancer. Among plant foods, total vegetables were weakly associated with this disease, whereas raw vegetables were strongly protective. Finally, total fruits, citrus fruits and other fruits were the most protective food groups with reductions in risk close to 80%. Previous studies on foods and risk of squamous cell oesophageal cancer (Victora ; Brown ; Bosetti ; Castellsagué ) displayed stronger effects of fruits compared with vegetables. It is possible that cooked vegetables are not associated with squamous cell of the oesophagus due to temperature of the water. More specifically, vegetables are rich in thermolabile nutrients that are destroyed by the heat in the process of cooking (Tavani ; Bosetti ). On the other hand, fruits are more often eaten raw, leaving nutrients not affected by the cooking process. Citrus fruits are rich in vitamin C, a potent anticarcinogen in oesophageal cancer (Gao ; Bosetti ; Castellsagué ). Finally, the effect of fruits on previous studies was similar in both histologies, that is, squamous cell carcinoma and adenocarcinoma of the oesophagus (Tzonou ; Cheng ; Sharp ). It should be noted that the last studies (Cheng ; Sharp ) were conducted only among women. Stewed meat is a frequent food item in the Uruguayan population, particularly in people of the lower socioeconomic strata and among rural dwellers. In the present study, stewed meat was a strong risk factor for oesophageal cancer. We would suggest that stewed meat acts through thermal injury, like maté drinking (De Stefani ; Castellsagué ). Studies conducted in other populations implicate soups (Bosetti ) and other hot beverages (Hu ) as risk factors for squamous cell oesophageal cancer. Also, in this study, salted meat was directly associated with an increased risk of squamous cell oesophageal cancer. Previous studies (World Cancer Research Fund 1997; De Stefani ) suggested that salted meat is a rich source of nitrosamines. These substances have been implicated in oesophageal carcinogenesis (Ohshima and Bartsch 1981). Poultry and fish were protective foods in our study. In fact, the effect of fish was stronger than the inverse association of poultry. Previous studies reported a'protective effect of fish, in particular lean fish (Launoy ; Bosetti ). Fish is rich in polyunsaturated fats, like olive oil (Launoy ; Bosetti ). These nutrients were found as inversely associated with the risk of squamous cell oesophageal cancer. The mechanism of action of poultry is less clear in this malignancy. A previous study reported a protective effect of poultry (Bosetti ). A recent case–control study on breast cancer also revealed a reduction in risk for total white meat, fish and skinless chicken (Ronco ). In this study, the inverse association between skinless and nonfried chicken and breast cancer was suggested as possibly due to its lesser content of fat. Several studies on oesophageal cancer reported a final model including nondietary and dietary factors (Victora ; Castelletto ; Launoy ; Cheng ; Sharp ). In our final model, which excluded nondietary factors, citrus fruits were the more significant and stronger term (P-value for trend <0.001), followed by stewed meat (P-value=0.007) and fresh vegetables (P-value=0.009). Tobacco smoking, alcohol drinking and maté temperature remained as significant factors but with slightly reduced risks. In summary, this study on squamous cell carcinoma of the oesophagus replicates previous studies on the protective effects of raw vegetables, citrus fruits and noncitrus fruits. Also, salted meat, a rich source of nitrosamines, was a strong risk factor. Finally, boiled meat, a component of stews that are ingested very hot is, possibly, a risk factor for this malignancy. The effect of this type of meat is much higher among smokers of black tobacco and hand-rolled cigarettes, compared with smokers of blond tobacco and commercial cigarettes.
  23 in total

Review 1.  Nutrition and esophageal cancer.

Authors:  K K Cheng; N E Day
Journal:  Cancer Causes Control       Date:  1996-01       Impact factor: 2.506

2.  Influence of mate drinking, hot beverages and diet on esophageal cancer risk in South America.

Authors:  X Castellsagué; N Muñoz; E De Stefani; C G Victora; R Castelletto; P A Rolón
Journal:  Int J Cancer       Date:  2000-11-15       Impact factor: 7.396

3.  Meat intake and risk of squamous cell esophageal cancer: a case-control study in Uruguay.

Authors:  E De Stefani; H Deneo-Pellegrini; P Boffetta; M Mendilaharsu
Journal:  Int J Cancer       Date:  1999-07-02       Impact factor: 7.396

4.  Diet and squamous-cell cancer of the oesophagus: a French multicentre case-control study.

Authors:  G Launoy; C Milan; N E Day; M P Pienkowski; M Gignoux; J Faivre
Journal:  Int J Cancer       Date:  1998-03-30       Impact factor: 7.396

5.  Food groups and risk of squamous cell esophageal cancer in northern Italy.

Authors:  C Bosetti; C La Vecchia; R Talamini; L Simonato; P Zambon; E Negri; D Trichopoulos; P Lagiou; R Bardini; S Franceschi
Journal:  Int J Cancer       Date:  2000-07-15       Impact factor: 7.396

6.  Nutritional and haematological status of Chinese farmers: the influence of 13.5 months treatment with riboflavin, retinol and zinc.

Authors:  D I Thurnham; N Munoz; J B Lu; J Wahrendorf; S F Zheng; K M Hambidge; M Crespi
Journal:  Eur J Clin Nutr       Date:  1988-08       Impact factor: 4.016

7.  Risk factors for esophageal cancer in lifelong nonsmokers.

Authors:  A Tavani; E Negri; S Franceschi; C La Vecchia
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1994 Jul-Aug       Impact factor: 4.254

8.  Hot and cold mate drinking and esophageal cancer in Paraguay.

Authors:  P A Rolón; X Castellsagué; M Benz; N Muñoz
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  1995-09       Impact factor: 4.254

9.  Risk factors for squamous cell carcinoma of the oesophagus in women: a case-control study.

Authors:  L Sharp; C E Chilvers; K K Cheng; P A McKinney; R F Logan; P Cook-Mozaffari; A Ahmed; N E Day
Journal:  Br J Cancer       Date:  2001-11-30       Impact factor: 7.640

10.  Oesophageal cancer studies in the Caspian Littoral of Iran: results of a case-control study.

Authors:  P J Cook-Mozaffari; F Azordegan; N E Day; A Ressicaud; C Sabai; B Aramesh
Journal:  Br J Cancer       Date:  1979-03       Impact factor: 7.640

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  20 in total

1.  Meat consumption and risk of esophageal and gastric cancer in a large prospective study.

Authors:  Amanda J Cross; Neal D Freedman; Jiansong Ren; Mary H Ward; Albert R Hollenbeck; Arthur Schatzkin; Rashmi Sinha; Christian C Abnet
Journal:  Am J Gastroenterol       Date:  2010-10-26       Impact factor: 10.864

2.  Food preparation methods, drinking water source, and esophageal squamous cell carcinoma in the high-risk area of Golestan, Northeast Iran.

Authors:  Asieh Golozar; Arash Etemadi; Farin Kamangar; Akbar Fazeltabar Malekshah; Farhad Islami; Dariush Nasrollahzadeh; Behnoosh Abedi-Ardekani; Masoud Khoshnia; Akram Pourshams; Shahriar Semnani; Haji Amin Marjani; Ramin Shakeri; Masoud Sotoudeh; Paul Brennan; Philip Taylor; Paolo Boffetta; Christian Abnet; Sanford Dawsey; Reza Malekzadeh
Journal:  Eur J Cancer Prev       Date:  2016-03       Impact factor: 2.497

3.  Esophageal cancer epidemiology in blacks and whites: racial and gender disparities in incidence, mortality, survival rates and histology.

Authors:  Claudia R Baquet; Patricia Commiskey; Kelly Mack; Stephen Meltzer; Shiraz I Mishra
Journal:  J Natl Med Assoc       Date:  2005-11       Impact factor: 1.798

4.  Meat and heme iron intake and risk of squamous cell carcinoma of the upper aero-digestive tract in the European Prospective Investigation into Cancer and Nutrition (EPIC).

Authors:  Annika Steffen; Manuela M Bergmann; María-José Sánchez; Maria-Dolores Chirlaque; Paula Jakszyn; Pilar Amiano; J Ramón Quirós; Aurelio Barricarte Gurrea; Pietro Ferrari; Isabelle Romieu; Veronika Fedirko; H B As Bueno-de-Mesquita; Peter D Siersema; Petra H M Peeters; Kay-Tee Khaw; Nick Wareham; Naomi E Allen; Francesca L Crowe; Guri Skeie; Göran Hallmanns; Ingegerd Johansson; Signe Borgquist; Ulrika Ericson; Rikke Egeberg; Anne Tjønneland; Kim Overvad; Verena Grote; Kuanrong Li; Antonia Trichopoulou; Despoina Oikonomidou; Menelaos Pantzalis; Rosario Tumino; Salvatore Panico; Domenico Palli; Vittorio Krogh; Alessio Naccarati; Traci Mouw; Anne-Claire Vergnaud; Teresa Norat; Heiner Boeing
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-02       Impact factor: 4.254

5.  Associations of red and processed meat with survival among patients with cancers of the upper aerodigestive tract and lung.

Authors:  Fayth L Miles; Shen-Chih Chang; Hal Morgenstern; Donald Tashkin; Jian-Yu Rao; Wendy Cozen; Thomas Mack; Qing-Yi Lu; Zuo-Feng Zhang
Journal:  Nutr Res       Date:  2016-01-26       Impact factor: 3.315

6.  Food group intake and risk of subtypes of esophageal and gastric cancer.

Authors:  Stephanie A Navarro Silvera; Susan T Mayne; Harvey Risch; Marilee D Gammon; Thomas L Vaughan; Wong-Ho Chow; Robert Dubrow; Janet B Schoenberg; Janet L Stanford; A Brian West; Heidrun Rotterdam; William J Blot; Joseph F Fraumeni
Journal:  Int J Cancer       Date:  2008-08-15       Impact factor: 7.396

Review 7.  Environmental causes of esophageal cancer.

Authors:  Farin Kamangar; Wong-Ho Chow; Christian C Abnet; Sanford M Dawsey
Journal:  Gastroenterol Clin North Am       Date:  2009-03       Impact factor: 3.806

Review 8.  Carcinogenic food contaminants.

Authors:  Christian C Abnet
Journal:  Cancer Invest       Date:  2007 Apr-May       Impact factor: 2.176

9.  The Global Burden of Esophageal Cancer: A Disability-Adjusted Life-Year Approach.

Authors:  Benjamin J Di Pardo; Nathan W Bronson; Brian S Diggs; Charles R Thomas; John G Hunter; James P Dolan
Journal:  World J Surg       Date:  2016-02       Impact factor: 3.352

10.  Urinary Concentrations of Polycyclic Aromatic Hydrocarbon Metabolites in Maté Drinkers in Rio Grande do Sul, Brazil.

Authors:  Antonio Barros Lopes; Marcela Metzdorf; Luiza Metzdorf; Marcos Paulo Ramalho Sousa; Caroline Kavalco; Arash Etemadi; Natalie R Pritchett; Gwen Murphy; Antonia M Calafat; Christian C Abnet; Sanford M Dawsey; Renato Borges Fagundes
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-12-20       Impact factor: 4.254

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