Raw Diet for Prostate Cancer
Eur J Cancer Prev. Author manuscript; available in PMC 2015 Mar 1.
Published in final edited form as:
PMCID: PMC4091618
NIHMSID: NIHMS595579
Dietary Factors and Risk of Advanced Prostate Cancer
Wambui G. Gathirua-Mwangi
1Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
Jianjun Zhang
1Department of Epidemiology, Richard M. Fairbanks School of Public Health, Indiana University, Indianapolis, Indiana, USA
2Indiana University Melvin and Bren Simon Cancer Center, Indianapolis, Indiana, USA
The publisher's final edited version of this article is available at Eur J Cancer Prev
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Abstract
Objective
Prostate cancer is the second most common cancer among men in the world. Although some nutrients have been linked to the development of total prostate cancer, it remains unclear whether these nutrients modulate the risk of its clinical significant form – advanced tumor. Therefore, this study sought to perform a systematic review of the literature on this topic.
Methods
The papers reviewed were identified from PubMed by searching key words, diet and advanced, metastatic, or lethal prostate cancer. A total of 46 papers published until September 2012 met our eligibility criteria and thus were evaluated in this review.
Results
Epidemiologic studies have overall showed that the habitual consumption of a diet high in saturated fat, well-done meats, and calcium is associated with an increased risk of advanced prostate cancer. An inconsistent association was observed for intakes of total meat, fruits, and vegetables. Although most case-control studies suggest that intakes of these nutrients or foods significantly alter advanced prostate cancer risk, cohort studies yielded mixed results. No apparent effect of fish and zinc intake on advanced prostate cancer was found in most epidemiologic studies.
Conclusions
Epidemiologic studies conducted to date have revealed that some dietary factors modulate the risk of advanced prostate cancer. If these findings are confirmed by more adequately-powered epidemiologic studies, especially prospective cohort studies that measure the nutrients and their biochemical indicators, the risk of advanced prostate cancer, which is fatal and thus clinically significant, may be reduced by dietary modification or chemoprevention.
Keywords: diet, advanced prostate cancer, epidemiology, prevention
Introduction
Prostate cancer is a leading cause of cancer death in most developed countries and an emerging public health problem in developing countries (Jemal et al., 2011). On the global level, prostate cancer is the second most commonly diagnosed cancer and the sixth leading cause of cancer death among men (Jemal et al., 2011). To date, however, the etiology of this malignancy remains unclear, with age, race, and family history as the only well-established risk factors (Hsing and Devesa, 2001; Leitzmann and Rohrmann, 2012).
Ecologic and migrant studies have offered substantial evidence that dietary factors may play a role in the etiology of prostate cancer (Rose et al., 1986). Specifically, populations with high intake of saturated fat and red meats have an increased risk of prostate cancer compared with populations with low intake of these nutrients or food items (Ma and Chapman, 2009; Michaud et al., 2001; Rose et al., 1986). Remarkable increase in the risk of this disease has been observed after men in East Asia immigrated to North America (Whittemore et al., 1995). Prostate cancer incidence rates have been rapidly increasing in China, Korea, Japan, and Singapore during the last several decades (Zhang et al., 2012). This upward change has been primarily ascribed to the occurrence of nutrition transition in these countries during the same period of time (Zhang et al., 2012). Nutrition transition is defined by a gradual change towards the Westernized diet characterized by high intake of energy, animal fat, and meats and low intake of fiber (Zhang et al., 2012). Although aforementioned descriptive epidemiologic studies suggest that dietary habits influence the risk of prostate cancer, case-control and cohort studies have provided mixed results on dietary etiology of this malignancy (Michaud et al., 2001; Zhu et al., 2005).
Prostate cancer can be either indolent or aggressive. While indolent tumors may remain asymptomatic for a whole life, aggressive tumors can rapidly progress to advanced disease (Brassell et al., 2011). A growing body of evidence suggests that these two types of prostate cancer have a different etiology (Rose, 1997). One of the potential reasons for inconsistent results of case-control and cohort studies examining the association between diet and prostate cancer may be that most of these studies had a small number of advanced tumors. Given the clinical importance of advanced prostate cancer, it is crucial to understand which nutrients, foods, or food groups significantly modulate the risk of its occurrence. Therefore, this paper sought to review the current evidence of epidemiologic studies on this topic.
Materials and Methods
A PubMed search of published papers was conducted through September 2012 to identify studies eligible for review. A total of 280 papers were found when keywords 'diet' and 'advanced prostate cancer'; 'diet' and 'lethal prostate cancer'; and 'diet' and 'metastatic prostate cancer' were used. A paper was eligible for review if it reported separate risk estimates [odds ratio (OR) or relative risk (RR)] for advanced, lethal, or metastatic prostate cancer. The abstracts of all these papers were reviewed to determine whether they met the inclusion criteria. When an abstract did not provide sufficient information for this eligibility evaluation, its full paper was examined instead. Studies were excluded if they were published as a review paper or reported in the form of an abstract only. To ensure the adequacy of published data for review, we only examined the nutrients, foods, or food groups that have been investigated in relation to risk of advanced prostate cancer in at least three independent studies. The nutrients, foods, or food groups that met this criterion are meat and meat products, fat, calcium, dairy products, fruits and vegetables, lycopene, vitamins, fish, zinc, and dietary patterns.
The following information was extracted from each of eligible papers: author(s), publication year, study population, study design, geographical location, sample size, dietary assessment methods, risk estimates [(OR or RR) and 95% confidence intervals (95% CI)], and confounders controlled for in multiple regression analysis. If more than one paper was published using data collected from the same study, the paper that analyzed most recent data or had the largest (or larger) sample size was included in this review.
Results
The dietary factors reviewed for their associations with the risk of advanced prostate cancer included meat and meat products (Table 1), fat (Table 2), calcium, vitamin D, and dairy products (Table 3), fruits, vegetables, and vitamins (Table 4), lycopene and tomato products (Table 5), and fish and other dietary factors. Lycopene abounds in tomatoes and tomato products (Giovannucci, 1999). The results of epidemiologic studies evaluating the effects of tomatoes and tomato products on advanced prostate cancer were presented in a separate table because a large number of studies have investigated this association. The results shown in all tables are risk estimates (ORs or RRs) comparing the highest with the lowest intake categories of nutrients or foods.
Table 1
Epidemiologic Studies Evaluating Intakes of Meat and its Mutagens and Risk of Advanced Prostate Cancer
Author, Year (ref), Country | Study Population | OR/RR (95% CI)* | P-trend | Confounders Adjusted for | |
---|---|---|---|---|---|
| |||||
Case-Control Studies | |||||
| |||||
Amin et al., 2008 Canada | 188 aggressive cases 268 controls | Red meat, ham, sausage | 1.09 (0.65-2.45) | 0.47 | Age, ethnicity, education, family history of prostate cancer, smoking, alcohol consumption, sexually transmitted infections, cystitis, and prostatitis |
Chicken | 1.04 (0.59-1.84) | 0.33 | |||
| |||||
John et al., 2011 USA | 726 cases (531 advanced) 527 controls | Total meat: | 0.94 (0.64-1.38) | 0.44 | Age, race, BMI, socioeconomic status, family history of prostate cancer, and, intake of energy, fat, fruits, and vegetables |
White meat: | 0.82 (0.56-1.18) | 0.15 | |||
Red meat: | 1.53 (0.93-2.49) | 0.02 | |||
Hamburgers: | 1.79 (1.10-2.92) | 0.02 | |||
Steak: | 1.45 (0.89-2.35) | 0.16 | |||
Processed meat: | 1.57 (0.94-2.36) | 0.05 | |||
Bacon: | 1.42 (0.94-2.16) | 0.88 | |||
Sausage: | 1.37 (0.91-2.04) | 0.99 | |||
| |||||
Punnen et al., 2011 USA | 470 aggressive cases 512 controls | Beef, pork, ham, lamb | 1.25 (0.74-2.1) | 0.43 | Age, sex, race, institution, and energy intake |
Grilled beef | 1.61 (1.13-2.3) | 0.004 | |||
Well done beef | 2.16 (1.4-3.38) | <0.001 | |||
Well done hamburger | 2.04 (1.4-2.95) | <0.001 | |||
PhlP | 1.32 (0.86-2.1) | 0.13 | |||
MelQX | 1.69 (1.08-2.6) | 0.02 | |||
DiMelQx | 1.53 (1.0-2.35) | 0.005 | |||
Benzo[a]pyrene | 1.34 (0.87-2.1) | 0.17 | |||
| |||||
Joshi et al., 2012 USA | 1,140 advanced cases 717 localized cases 1,096 controls | Red meat: | 1.0 (0.8-1.4) | 0.67 | Age, BMI, family history of prostate cancer, alcohol drinking, cigarette smoking, intake of energy, fat, fruits, and vegetables |
Hamburger | 1.2 (0.9-1.6) | 0.32 | |||
Steak | 1.0 (0.8-1.4) | 0.78 | |||
Poultry | 0.7 (0.6-1.0) | 0.009 | |||
Processed meat: | 1.1 (0.8-1.5) | 0.270 | |||
Bacon | 1.0 (0.7-1.3) | 0.72 | |||
Sausage | 1.1 (0.9-1.5) | 0.55 | |||
Grilled red meat | 1.1 (0.8-1.5) | 0.48 | |||
Oven broiled red meat | 1.0 (0.7-1.4) | 0.62 | |||
Pan fried red meat | 1.3 (1.0-1.8) | 0.035 | |||
Baked red meat | 0.9 (0.5-1.6) | 0.190 | |||
High temp cooked red meat | 1.4 (1.0-1.9) | 0.026 | |||
Well done red meat | 1.4 (1.1-1.8) | 0.013 | |||
High temp. cooked hamburger | 1.7 (1.3-2.2) | <0.001 | |||
Well done hamburger | 1.0 (0.8-1.4) | 0.747 | |||
High temperature cooked steak | 1.1 (0.8-1.4) | 0.67 | |||
Well done steak | 1.3 (0.9-1.8) | 0.36 | |||
PhlP | 1.2 (0.9-1.6) | 0.245 | |||
MelQX | 1.0 (0.8-1.4) | 0.417 | |||
DiMelQx | 1.0 (0.8-1.3) | 0.68 | |||
Benzo[a]pyrene | 0.9 (0.7-1.1) | 0.396 | |||
| |||||
Cohort Studies | |||||
| |||||
Schuurman et al., 1999 The Netherlands | 58,279 subjects, 642 cases 6.3 years of follow-up | Fresh meat and poultry | 1.00 (0.91–1.09) | Age, family history of prostate cancer, and socioeconomic status | |
Beef | 0.92 (0.77–1.10) | ||||
Pork | 1.06 (0.91–1.23) | ||||
Minced meat (beef & pork) | 0.90 (0.71–1.14) | ||||
Chicken | 1.11 (0.87–1.42) | ||||
Liver | 0.79 (0.63–0.99) | ||||
Other meat | 1.09 (0.98–1.21) | ||||
Cured meat | 1.00 (0.88–1.14) | ||||
Boiled ham | 0.95 (0.64–1.40) | ||||
Bacon | 1.04 (0.66–1.65) | ||||
Lean meat products | 1.01 (0.63–1.60) | ||||
Other sliced cold meat | 1.01 (0.74–1.39) | ||||
| |||||
Cross et al., 2005 USA | 29,361 men 1,338 prostate cancer cases 520 advanced cases 9 years of follow-up | Red meat: | 0.92 (0.66-1.29) | 0.92 | Age, race, study center, family history of prostate cancer, history of diabetes, number of screening exams during follow-up, smoking status, physical activity, aspirin use, BMI, and intake of total energy, supplemental vitamin E, and lycopene |
Processed meat: | 1.01 (0.74-1.37) | 0.99 | |||
Barbecued meat: | 0.96 (0.71-1.30) | 0.61 | |||
Pan fried meat: | 0.86 (0.64-1.15) | 0.41 | |||
Very well done meat: | 1.23 (0.73-2.06) | 0.44 | |||
PhIP: | 1.23 (0.73-2.06) | 0.59 | |||
| |||||
Allen et al., 2008 Europe | 142,251 men, 2,727 cases (541 advanced) 8.7 years of follow-up | Total Protein intake: | 1.12 (0.64-1.94] | 0.70 | Educational level, marital status, height, weight, and energy intake. |
Animal protein: | 0.95 (0.62-1.45] | 0.82 | |||
Dairy protein: | 1.28 (0.73-2.22] | 0.39 | |||
Plant protein: | 0.75 (0.27-2.10] | 0.58 | |||
| |||||
Choi et al., 2008 USA | 18,314 men 661 cases (CARET study) 12 years follow-up | Dietary Iron | 1.4 (0.9-2.0) | 0.07 | Race, random assignment, family history of prostate cancer in first-degree relatives, alcohol consumption, smoking status, smoking pack-year, age at enrollment, BMI, and intake of energy and antioxidants. |
| |||||
Koutros et al., 2008 USA | 23,080 subjects 668 incident cases 140 advanced cases 197,017 person-years of follow up | Total meat: | 0.93 (0.51-0.70) | 0.80 | Age, state of residence, race, family history of prostate cancer, and smoking status |
Red meat: | 0.89 (0.50-1.60) | 0.92 | |||
Chicken: | 1.65 (0.90-3.04) | 0.36 | |||
Bacon: | 0.69 (0.40-1.18) | 0.11 | |||
Beef Steaks: | 0.87 (0.38-1.99) | 0.84 | |||
Pork chops /Ham steaks: | 1.08 (0.62-1.89) | 0.72 | |||
Hamburgers: | 1.08 (0.48-2.44) | 0.94 | |||
Grilled meat: | 1.08 (0.48-2.44) | 0.28 | |||
Pan fried meat | 0.79 (0.49-1.27) | 0.73 | |||
Broiled meat: | 0.95 (0.61-1.49) | 0.38 | |||
Rare or medium total meat | 1.19 (0.75-1.88) | 0.71 | |||
Well & very well done total meat | 1.97 (1.26-3.08) | 0.004 | |||
| |||||
Sinha et al., 2009 USA | 10,313 subjects 1,102 advanced cases 419 fatal cases 175,343 person-years of follow-up | Red meat: | 1.31 (1.05-1.65) | 0.04 | Age, race, BMI, education, marital status, family history of prostate cancer, prostate-specific antigen screening in the past 3 years, history of diabetes, smoking history, time since quitting for former smokers, and smoking dose, frequency of vigorous physical activity, intakes of energy, alcohol, calcium, tomatoes, a-linolenic acid, vitamin E, zinc, and selenium |
White meat: | 1.10 (0.88-1.36) | 0.21 | |||
Processed meat: | 1.32 (1.08-1.61) | 0.008 | |||
Iron | 0.95 (0.61-1.46) | 0.86 | |||
Heme Iron | 1.28 (1.03-1.58) | 0.02 | |||
Nitrite | 1.24 (1.02-1.51) | 0.03 | |||
Nitrate | 1.31 (1.07-1.61) | 0.03 | |||
Grilled | 1.36 (1.10-1.69) | 0.01 | |||
Pan fried | 1.13 (0.96-1.32) | 0.34 | |||
Microwaved | 1.03 (0.82-1.30) | 0.86 | |||
Broiled | 1.00 (0.87-1.15) | 0.82 | |||
Rare/medium | 1.14 (0.92-1.41) | 0.41 | |||
Well/very well done | 1.04 (0.84-1.28) | 0.33 | |||
Iron | 0.95 (0.61-1.46) | 0.86 | |||
PhlP: | 0.85 (0.66-1.11) | 0.03 | |||
MeIQx: | 0.86 (0.65-1.14) | 0.38 | |||
DiMeIQx: | 1.13 (0.89-1.42) | 0.34 | |||
Benzo[a]pyrene | 1.28 (1.00-1.65) | 0.002 | |||
| |||||
Agalliu et al., 2011 Canada | Subcohort 1,979 661 cases 173 advanced cases 2 years of follow-up | Red meat | 1.38 (0.80-2.39) | 0.10 | Age, race, BMI, exercise activity, and education |
Total Iron | 0.72 (0.42-1.23) | 0.65 | |||
| |||||
Richman et al., 2011 USA | 51,529 subjects 199 lethal prostate cancer 306,715 person-year of follow-up | Total Red meat: | 1.07 (0.66-1.75) | 0.99 | Age, BMI, smoking, vigorous activity, and intake of energy and lycopene intake. Risk estimates for all red meats and poultry were also adjusted for eggs. Unprocessed and processed red meat were adjusted for each other |
Total unprocessed red meat | 0.64 (0.38-1.06) | 0.03 | |||
Total processed red meat | 1.52 (0.89-2.60) | 0.20 | |||
Poultry: | 1.15 (0.74-1.78) | 0.89 | |||
| |||||
Sander et al., 2011 Europe | 9,578 subjects 337 incident cases 123 advanced cases 104,195 person-years of follow-up | PhlP: | 0.89 (0.51-1.56) | 0.49 | Age, smoking, family history of prostate cancer, PSA screening, and intake of dairy products |
MeIQx: | 0.91 (0.53-1.57) | 0.91 | |||
DiMeIQx: | 1.05 (0.61-1.82) | 0.71 | |||
Strong browning | 0.94 (0.50-1.77) | 0.16 | |||
Light browning | 0.73 (0.41-1.28) | 0.21 | |||
| |||||
Wright et al., 2011 Finland | 27,111 subjects 1929 incident cases 438 advanced cases 21 years of follow-up | Red meat | 0.80 (0.62-1.05) | 0.23 | Smoking (dose and duration), trial intervention assignment, education Level, and dietary fat intake |
Beef | 0.89 (0.68-1.16) | 0.54 | |||
Sausage | 1.62 (1.08-2.43) | 0.88 |
Table 2
Epidemiologic Studies Evaluating Intakes of fat and Risk of Advanced Prostate Cancer
Author / Country | Sample Size | OR/RR (95% CI)* | P-trend | Confounders Adjusted for | |
---|---|---|---|---|---|
| |||||
Case-Control Studies | |||||
| |||||
Slattery et.al., 1990 USA | 352 Cases 674 Controls | Saturated fat - Adolescent | 1.1 (0.6-1.9) | Adult risk estimates adjusted for age and adolescent HSF intake; adolescent risk estimates adjusted for age and adult HSF intake | |
Saturated fat - Adult | 1.8 (1.0-3.2) | ||||
| |||||
Whittemore et. al., 1995 USA & Canada | 1,655 cases 1,645 controls | Total Fat | Age, region of residence, and education | ||
Black | 1.1 (0.57-2.20) | 0.42 | |||
White | 1.8 (0.89-3.7) | 0.36 | |||
Chinese-Americans | 2.6 (0.71-9.3) | 0.38 | |||
Japanese Americans | 1.1 (0.47-2.50) | 0.49 | |||
All ethnic groups | 1.5 (1.0- 2.2) | 0.12 | |||
Saturated Fat | |||||
Black | 1.4 (0.48-4.2) | 0.08 | |||
White | 2.4 (0.72-7.7) | 0.17 | |||
Chinese-Americans | 3.0 (0.20-45.7) | 0.33 | |||
Japanese Americans | 8.7 (1.5-50.2) | 0.02 | |||
All ethnic groups | 2.8 (1.5-5.2) | <0.01 | |||
| |||||
Bairati et.al., 1998 | 427 Prostate cancer cases 142 advanced cases Controls (not reported) | Total fat | 1.59 (0.87-2.91) | Age, energy intake, method of detection, and cancer treatment. | |
Saturated fat | 2.15 (1.14-4.04) | ||||
Monounsaturated fat | 1.30 (0.70-2.41) | ||||
Polyunsaturated fat | 0.68 (0.37-1.22) | ||||
Linoleic acid | 0.66 (0.36-1.20) | ||||
Linolenic acid | 1.04 (0.58 -1.89) | ||||
Total vegetable fat | 0.58 (0.32-1.03) | ||||
Total animal fat | 1.90 (1.04-3.48) | ||||
| |||||
Hayes et.al., 1999 USA | 932 cases (449 black & 483 white) 293 advanced cases 1,201 controls | Animal fat: | Age, study site, and intake of non-fat energy | ||
Black | 3.1 (1.5-6.50) | 0.006 | |||
White | 2.4 (1.1-5.50) | 0.02 | |||
| |||||
De Stefani et.al., 2000 Uruguay | 217 advanced cases 430 controls | Total fat | 1.33 (0.75-2.34) | 0.32 | Age, residence, urban/rural status, education, BMI, family history of prostate cancer in a first degree relative, and intake of energy, fruits, vegetables; further adjusted for saturated fat, monounsaturated fat, linoleic acid, and linolenic acid where applicable |
Saturated fat | 1.44 (0.82-2.52) | 0.45 | |||
Monounsaturated fat | 1.91 (0.60-6.02) | 0.15 | |||
Linoleic acid | 0.69 (0.39-1.19) | 0.05 | |||
α-Linolenic acid | 3.91 (1.50-10.1) | 0.001 | |||
Animal linolenic acid | 2.98 (1.02-8.68) | 0.007 | |||
Vegetable linolenic acid | 2.03 (1.01-4.07) | 0.02 | |||
| |||||
Agalliu et.al., 2011 Canada | Subcohort 1,979 661 cases 173 advanced cases 2 years of follow-up | Polyunsaturated fat | 0.61 (0.34-1.06) | 0.06 | Age, race, BMI, exercise activity, and education |
| |||||
Cohort Studies | |||||
| |||||
Wright et.al., 2011 Finland | 27,111 subjects 1929 incident cases 438 advanced cases 21 years of follow-up | Phytanic acid | 1.38 (1.02-1.89) | 0.06 | Smoking (dose and duration), trial intervention assignment, education, and intake of energy and fat |
Dairy fat | 1.25 (0.93-1.66) | 0.38 |
Table 3
Epidemiologic Studies Evaluating Intakes of Calcium, Vitamin D, and Dairy Products and Risk of Advanced Prostate Cancer
Author / Country | Sample Size | OR/RR (95% CI)* | P-trend | Confounders Adjusted for | |
---|---|---|---|---|---|
| |||||
Case Control Studies | |||||
| |||||
Amin et.al., 2008 Canada | 188 aggressive cases 268 controls | Dairy products | 1.16 (0.68-1.97) | 0.58 | Age, ethnicity, education, family history of prostate cancer, smoking, alcohol consumption, sexually transmitted infections, cystitis, and prostatitis |
| |||||
Rowland et.al., 2011 USA | 533 cases (256 advanced prostate cancer) 250 controls | Total Calcium | 2.08 (1.22-3.53) | 0.001 | Age and family history of prostate cancer |
Dietary calcium | 2.48 (1.43-4.28) | 0.001 | |||
Calcium Supplements | 3.15 (1.09-9.15) | ||||
| |||||
Cohort Studies | |||||
| |||||
Giovannucci et.al., 1998 USA | 47,781 subjects 423 Advanced cases 9 years of follow-up | Total Calcium | 2.97 (1.61-6.50) | 0.002 | Age, BMI at age 21, intake of energy, fat, vitamin D, phosphorus, vitamin E, lycopene, and fructose |
Phosphorus | 0.67 (0.40-1.13) | ||||
Vitamin D intake | 1.48 (0.91-2.39) | ||||
| |||||
Schuurman et.al., 1999 The Netherlands | 58,279 subjects 642 prostate cancer cases 6.3 years of follow-up | Milk and milk products | 0.99 (0.95–1.03) | Age, family history of prostate cancer, and socioeconomic status | |
Whole milk, fermented | 0.84 (0.66–1.05) | ||||
Low-fat milk, fermented | 1.03 (0.95–1.11) | ||||
Whole milk | 1.00 (0.95–1.06) | ||||
Low-fat milk | 0.99 (0.93–1.06) | ||||
Cheese 22.8 | 0.92 (0.78–1.08) | ||||
Cheese | 1.05 (0.66–1.68) | ||||
Low-fat cheese | 0.95 (0.60–1.52) | ||||
| |||||
Ahn et.al., 2007 USA | 29,509 men 1,910 cases 986 aggressive cases 9 years of follow-up | Total dairy | 1.07 (0.79-1.45) | 0.73 | Age, race, BMI, study center, family history of prostate cancer, smoking status, physical activity, history of diabetes, education, and number of screening examinations during the follow-up period, and intake of energy and red meat |
Low fat dairy | 1.17 (0.90-1.53) | 0.66 | |||
High fat dairy | 1.13 (0.91-1.42) | 0.43 | |||
Total Calcium | 0.58 (0.34-1.02) | 0.66 | |||
Dietary Calcium | 0.77 (0.38-1.55) | 0.54 | |||
Supplemental Calcium | 1.03 (0.64-1.65) | 0.84 | |||
| |||||
Park et.al., 2007 USA | 293,888 subjects 10,180 incident cases (1,426 cases) 6 years of follow-up | Total Calcium | 1.25 (0.91-1.71) | 0.006 | Age, race, education, marital status, BMI, vigorous physical, alcohol consumption, history of diabetes, family history of prostate cancer, screening for prostate cancer, and intakes of energy, tomatoes, red meat, fish, vitamin E, and α-linolenic acid |
Whole milk | 0.93 (0.58-1.49) | 0.20 | |||
Low fat milk | 0.87 (0.68-1.12) | 0.91 | |||
Skim milk | 1.23 (0.99-1.64) | 0.01 | |||
Cheese | 1.03 (0.75-1.42) | 0.85 | |||
Yogurt | 0.78 (0.25-2.50) | 0.68 | |||
| |||||
Allen et al., 2008 Europe | 142,251 subjects 2,727 Prostate cancer cases 541 advanced cases 8.7 years of follow-up | Total calcium | 1.05 [0.91-2.22] | 0.49 | Education, marital status, height, weight and energy intake |
Dairy calcium: | 1.04 [0.91-1.22] | 0.57 | |||
Non dairy calcium: | 1.04 [0.47-2.29] | 0.93 | |||
| |||||
Wright et al., 2011 Finland | 27,111 subjects 1929 incident cases 438 advanced cases 21 years of follow-up | Total dairy | 0.89 (0.58-1.37) | 0.47 | Smoking (dose and duration), trial intervention assignment, education, and intake of energy and fat |
Butter | 1.45 (1.07-1.96) | 0.05 | |||
Cheese | 1.35 (1.01-1.81) | 0.35 | |||
Cream | 1.28 (0.97-1.67) | 0.04 | |||
Cultured milk | 1.21 (0.92-1.60) | 0.15 | |||
Ice cream | 0.92 (0.70-1.21) | 0.60 | |||
Low-fat milk | 0.74 (0.56-0.99) | 0.15 | |||
Sour milk | 1.23 (0.94-1.62) | 0.16 | |||
Whole milk | 0.95 (0.70-1.29) | 0.15 | |||
Yogurt | 1.01 (0.77-1.32) | 0.94 | |||
Dairy fat | 1.25 (0.93-1.66) | 0.38 | |||
Calcium | 1.62 (1.08-2.43) | 0.04 |
Table 4
Epidemiologic Studies Evaluating Intakes of Fruits, Vegetables, and Vitamins and Risk of Advanced Prostate Cancer
Author | Sample Size | OR/RR (95% CI)* | P-trend | Confounders Adjusted for | |
---|---|---|---|---|---|
| |||||
Case-Control Studies | |||||
| |||||
Kolonel et al., 2000 USA & Canada | 1619 cases (514 advanced) 1618 controls | Dark green vegetables | 0.88 (0.62-1.24) | 0.35 | Age, education, ethnicity, geographic area, and calories. |
Yellow-orange vegetables | 0.67 (0.48-0.94) | 0.01 | |||
Cruciferous vegetables | 0.61 (0.42-0.88) | 0.006 | |||
Corn | 0.78 (0.56-1.10) | 0.12 | |||
Carrots | 0.50 (0.36-0.70) | 0.001 | |||
All vegetables | 0.67 (0.46-0.96) | 0.04 | |||
Citrus fruits | 1.22 (0.88-1.70) | 0.45 | |||
Papaya | 0.85 (0.62-1.18) | 0.34 | |||
All fruits | 1.13 (0.80-1.60) | 0.36 | |||
Soy foods | 0.59 (0.35-1.00) | 0.13 | |||
Legumes (excluding soy) | 0.73 (0.50-1.07) | 0.11 | |||
All legumes | 0.74 (0.52-1.06) | 0.04 | |||
| |||||
Amin et al., 2008 Canada | 188 aggressive cases 268 controls | Any green vegetables Fruits (fresh juice) | 0.89 (0.65-2.14) | 0.27 | Age, ethnicity, education, family history of prostate cancer, smoking, alcohol consumption, sexually transmitted infections, cystitis, and prostatitis. |
1.55 (0.91-2.62) | 0.10 | ||||
| |||||
Hardin et al., 2011 | 470 aggressive cases 512 controls | All vegetables | 0.71 (0.48-1.05) | 0.04 | Age, race, institution, energy intake, and history of first-degree relative with prostate cancer. |
Cruciferous veg. | 0.91 (0.62-1.33) | 0.20 | |||
Leafy vegetables | 0.66 (0.46-0.96) | 0.02 | |||
High carotenoid veg | 0.71 (0.48-1.04) | 0.04 | |||
Tomato | 1.12 (0.76-1.67) | 0.74 | |||
All fruits | 0.70 (0.48-1.03) | 0.18 | |||
High Vitamin C | 0.69 (0.47-1.00) | 0.09 | |||
High carotenoid fruits | 0.79 (0.54-1.14) | 0.26 | |||
| |||||
Cohort Studies | |||||
| |||||
Giovannuci et al., 1998 USA | 47,781 subjects 423 advanced cases 9 years of follow-up | Vitamin D intake | 1.48 (0.91-2.39) | 0.64 | Age, BM1 at age 21, intake of energy, fat, vitamin D, phosphorus, vitamin E, lycopene, and fructose |
Fruit intake | 0.63 (0.43-0.93) | ||||
Total Fructose | 0.51 (0.33-0.80) | 0.007 | |||
α-Linolenic acid | 1.33 (0.97-1.81) | 0.007 | |||
| |||||
Giovannucci et al., 2003 USA | 47,365 men 2,969 incident cases 14 years of follow-up | Cruciferous Vegetables: | Age, time period, BMI at age 21, BMI in 1986, height, cigarette pack-years in the previous 10 years, family history of prostate cancer, history of diabetes mellitus, vigorous physical activity, and intakes of total calories, red meat, processed meat, fish, linolenic acid, calcium, and tomato sauce | ||
< 65 years old | 0.90 (0.48-1.70) | 0.25 | |||
≥ 65 years old | 1.10 (0.77-1.59) | 0.07 | |||
| |||||
Stevens et al., 2006 USA | 65,836 men 5,158 incident cases 9 years follow-up | Dietary folate | 0.78 (0.53-1.15) | 0.21 | Age, race, education, intake of energy, calcium, vitamin B12, and ethanol, family history of prostate cancer, prostate-specific antigen screening, and history of diabetes. |
Total folate | 0.79 (0.54-1.17) | 0.58 | |||
| |||||
Lawson et al., 2007 USA | 295,344 subjects 10,241 Incident cases 1,476 advanced cases 6 years of follow-up | Multivitamin | 1.32 (1.04-1.67) | 0.21 | Age, BMI, race, height, family history of prostate cancer, education, smoking status, alcohol drinking, physical activity, marital status, personal history of diabetes, and intakes of tomato, and tomato products, fish, red meat, linolenic acid, dietary calcium, individual calcium supplement, dietary vitamin D, dietary zinc, individual zinc supplement, dietary vitamin E, and individual vitamin E supplement. |
Selenium use | 1.53 (0.82-2.85) | 0.36 | |||
No Selenium use | 1.28 (0.98-1.67) | 0.28 | |||
Vitamin E | 1.32 (0.98-1.77) | 0.55 | |||
No Vitamin E | 1.09 (0.66-1.81) | 0.30 | |||
Folate use | 1.19 (0.69-1.05) | 0.63 | |||
No Folate use | 1.29 (0.98-1.70) | 0.27 | |||
| |||||
Weinstein et al., 2007 USA | 29,133 subjects 1,732 incident cases 19 years of follow-up | α-tocopherol | 0.56 (0.36-0.85) | 0.002 | Age at randomization, trial intervention arm, serum cholesterol, weight, urban residence, and education. |
| |||||
Wright et al., 2007 USA | 295,344 subjects 10,241 incident cases (1,476 advanced cases) 5 years of follow-up | Supplemental Vit. E | 0.86 (0.65-1.13) | 0.11 | Age, race, BMI, education, personal history of diabetes, family history of prostate cancer, and intake of red meat, a-linolenic acid, vitamin C (including supplements), and h-carotene (including supplements) |
α-tocopherol | 0.93 (0.76-1.13) | 0.21 | |||
β-tocopherol | 1.00 (0.84-1.19) | 0.90 | |||
γ-tocopherol | 0.68 (0.56-0.84) | 0.001 | |||
δ-tocopherol | 0.80 (0.67-0.96) | 0.01 | |||
| |||||
Nimptsch et al., 2008 Europe | 11,319 men 268 incident cases (113 advanced) 8.6 years of follow-up | Phyloquinone | 1.09 (0.52-2.27) | 0.93 | Smoking, education, vigorous physical activity, energy from fat, alcohol, nonfat-non alcohol energy, calcium, vitamin D, tomato or tomato products (All nutrients entered as quartile-dummies), BMI, history of diabetes, and family history of prostate cancer. |
Menaquinones | 0.33 (0.14-0.80) | 0.01 | |||
MK-42 | 0.71 (0.40-1.27) | ||||
MK-5-9 | 0.80 (0.64-1.00) | ||||
Menaquinones-from meat | 0.84 (0.50-1.41) | ||||
Menaquinones (from dairy products) | 0.79 (0.63-0.98) | ||||
| |||||
Kasperzyk et al., 2009 Sweden | No. of men in cohort (not reported) 525 total prostate cancer 295 advanced cases | Folate | 1.04 (0.63-1.72) | 0.71 | Age at diagnosis, calendar year of diagnosis, non-alcohol energy intake, height, BMI at diagnosis, and smoking status. Models for folate, riboflavin, vitamin B-6, vitamin B-12, and methionine were additionally adjusted for alcohol use |
Riboflavin | 0.96 (0.60-1.52) | 0.58 | |||
Vit B-6 | 1.40 (0.64-1.72) | 0.87 | |||
Vit B-12 | 0.74 (0.45-1.22) | 0.26 | |||
Methionine | 1.07 (0.67-1.73) | 0.82 | |||
| |||||
Takachi et al., 2010 Japan | 46,033 subjects 93 advanced cases 321,061 person-years of follow-up | Fruit | 1.07 (0.57-2.00) | 0.41 | Age, public health center area, BMI, smoking status, marital status, alcohol consumption, intake of dairy food and soy products, green tea consumption, vitamin supplement use, screening examinations |
Total vegetables | 1.06 (0.55-2.06) | 0.91 | |||
Green leafy vegetables | 0.66 (0.36-1.21) | 0.36 | |||
Cruciferous vegetables | 1.04 (0.51-2.12) | 0.62 | |||
Yellow vegetables | 0.72 (0.38-1.37) | 0.28 | |||
| |||||
Key et al., 2007 Europe | 137,001 subjects 966 incident cases matched with 1064 controls 6 years of follow-up | Sum of plasma carotenoids | 0.35 (0.17-0.78) | 0.04 | Smoking status, alcohol intake, BMI, marital status, physical activity, and education |
Plasma lycopene | 0.40 (0.19-0.88) | 0.05 | |||
| |||||
Agalliu et al., 2011 Canada | Subcohort 1979 Advanced cases 173 2 years of follow-up | Oxidative balance score | 0.91 (0.54-1.51) | 0.91 | Age at baseline, race, BMI, exercise activity, and education |
Cruciferous vegetables | 1.28 (0.74-2.20) | 0.67 | |||
Total vitamin C | 0.72 (0.44-1.19) | 0.96 | |||
Total Vitamin E | 1.39 (0.85-2.27) | 0.09 | |||
β-Carotene | 1.26 (0.76-2.09) | 0.87 | |||
β-Cryptoxanthin | 0.75 (0.44-1.29) | 0.21 | |||
Lutein & Zexanthin | 0.81 (0.48-1.36) | 0.11 | |||
Selenium | 0.46 (0.14-1.35) | 0.13 |
Table 5
Epidemiologic Studies Evaluating Intakes of Lycopene and Tomato Products and Risk of Advanced Prostate Cancer
Author | Sample Size | OR/RR (95% CI)* | P-trend | Confounders Adjusted for | |
---|---|---|---|---|---|
| |||||
Case Control Studies | |||||
| |||||
Kolonel et al., 2000 USA & Canada Multi-ethnic | 1,619 cases (514 advanced) 1,618 controls | Tomatoes | 0.96 (0.48-1.93) | 0.76 | Age, education, ethnicity, geographic area, and energy intake |
| |||||
Amin et al., 2008 Canada | Aggressive cases 188 268 controls | Tomatoes | 1.27 (0.72-2.23) | 0.39 | Age, ethnicity, education, family history of prostate cancer, smoking, and alcohol consumption, sexually transmitted infections, cystitis, and prostatitis. |
| |||||
Agalliu et al., 2011 Canada | Subcohort 1979 Advanced cases 173 | Lycopene | 0.71 (0.42-1.20) | 0.98 | Age at baseline, race, BMI, exercise activity, and education |
| |||||
Cohort Studies | |||||
| |||||
Giovannucci et al., 2002 USA | 47,365 subjects 2,481 incident cases 12 years of follow-up | Tomato sauce | 0.65 (0.42-0.99) | 0.02 | Age, time period, ancestry, BMI at age 21, and intakes of energy, calcium, phosphorus, fructose, vitamin D, vitamin E, fat, and linolenic acid |
| |||||
Kirsh et al., 2006 USA | 29,361 men 1,338 incident cases (520 advanced) 4.2 years follow-up | Lycopene | 1.11 (0.83-1.47) | 0.80 | Age, race, BMI, study center, family history of prostate cancer, smoking status, physical activity, intake of energy, supplemental vitamin E, fat, red meat, history of diabetes, aspirin use, and previous number of screening exams within the follow-up period |
Spaghetti/Tomato sauce | 0.81 (0.5-1.16) | 0.31 | |||
Pizza | 0.79 (0.56-1.10) | 0.12 | |||
Lasagna | 0.96 (0.70-1.33) | 0.92 | |||
| |||||
Takachi et al., 2010 Japan | 46,033 subjects 93 advanced cases 321,061 person-years of follow-up | Tomato & tomato products | 0.90 (0.49-1.67) | 0.89 | Age, public health center area, BMI, smoking status, marital status, alcohol consumption, intake of dairy food and soy products, green tea consumption, vitamin supplement use, screening examinations |
| |||||
Key et al., 2007 Europe | 966 incident cases 1,064 controls | Lycopene | 0.40 (0.19-0.88) | 0.05 | Smoking status, alcohol intake, BMI, marital status, physical activity, and education |
1. Meat and Meat products
Case-Control Studies
Most case-control studies showed inconsistent associations between meat intake and the risk of advanced prostate cancer, whereas the promoting effect was overall consistent across studies for intakes of well-done meats and suspected carcinogens derived from the meats cooked in this manner (Table 1). In a population-based case-control study, total meat and white meat consumption was not associated with the risk of advanced prostate cancer (John et al., 2011), but a significantly progressively elevated risk of advanced prostate cancer were observed for higher intake of hamburgers (p-trend = 0.02) (John et al., 2011). In another study, intake of red meat, hamburger, steak, poultry, sausage, processed meat and bacon did not alter advanced prostate cancer risk (Joshi et al., 2012).
A number of suspected mutagens or carcinogens are produced when meats are cooked at high temperature (Gu et al., 2010; Sinha et al., 1998; Sugimura et al., 2004). Depending on the types of meat and level of doneness, the mutagens detected in cooked meat include: heterocyclic amines [e.g. 2-amino-1-methyl1–6-phenylimidazo[4,5-b]pyridine (PhIP), 2-amino-3,8-dimethylimidazo-[4,5-b]quinoxaline (MeIQx), and 2-amino-3, 4,8-trimethylimidazo-[4,5-f]quinoxaline (DiMeIQx), and polycyclic aromatic hydrocarbons [e.g. benzo(a)pyrene (BaP)] (Gu et al., 2010; Sinha et al., 1998; Sugimura et al., 2004). One study has demonstrated a marginally significant association between PhIP intake and the risk of advanced prostate cancer [OR (95% CI): 1.2 (0.9, 1.6), for quintile 5 vs. quintile 1] (Joshi et al., 2012). In addition, intakes of red meat [OR (95% CI): 1.4 (1.0,1.9), for quintile 5 vs. quintile 1, p-trend=0.026] and hamburger [OR (95% CI): 1.7 (1.3, 2.2), for quartile 4 vs. quartile 1, p-trend=<0.001] cooked at high temperature, well-done red meat [OR (95% CI): 1.4 (1.1, 1.8), for quartile 4 vs. quartile 1, p-trend=0.013], and pan-fried red meat [OR (95% CI): 1.3 (1.0,1.8), for quartile 4 vs. quartile 1, p-trend=0.035] were found to increase the risk of advanced prostate cancer (Joshi et al., 2012). These results were confirmed by a study in which an increased risk was observed for high intakes of grilled beef, well-done beef, and well-done hamburger (Punnen et al., 2011). In addition, intake of MelQx [OR (95% CI): 1.69 (1.08, 2.64), for quartile 4 vs. quartile 1, p-trend=0.02] and DiMelQX [OR (95% CI): 1.53 (1.00, 2.35), for quartile 4 vs. quartile 1, p-trend=0.005] were associated with an elevated risk of aggressive prostate cancer (clinical stage III/IV tumors or Gleason score ≥7) (Punnen et al., 2011). However, Amin et al, found no association for intakes of red meat, ham and sausage (analyzed as one group), and chicken with the risk of aggressive prostate cancer (Amin et al., 2008).
Cohort Studies
Cohort studies conducted to date overall revealed a modest, inconsistent association between intake of meat and meat products and the risk of advanced prostate cancer (Table 1). Total meat consumption was weakly associated with a significantly reduced risk of advanced prostate cancer in one study (Koutros et al., 2008). An inverse but insignificant association was detected between intake of total unprocessed red meat and the risk of lethal prostate cancer (Richman et al., 2011).
Although the results on the associations of red or white meat consumption with advanced prostate cancer risk were conflicting, most studies suggested that high intakes of meats cooked at high temperature significantly increased risk (Cross et al., 2005; John et al., 2011; Koutros et al., 2008; Sander et al., 2011; Schuurman et al., 1999; Wright et al., 2011). Intakes of red meat, processed meat, heme iron, nitrite/nitrate (derived from meat, grilled or barbecued meat), and B[a]P conferred an elevated risk of advanced prostate cancer in one study (Sinha et al., 2009). However, dietary iron was not associated with the risk of advanced prostate cancer in another study (Choi et al., 2008). It has been also reported that intake of well-done meat was associated with an approximately two-fold increased risk of advanced disease in a dose-response manner [RR (95% CI): 1.97 (1.26, 3.08), for tertile 3 vs. tertile1, p-trend 0.004) (Koutros et al., 2008). Increased risk associated with consumption of very well done or strongly browned meat was not statistically significant in other studies (Cross et al., 2005; Sander et al., 2011). Hamburger intake was not associated with risk of advanced prostate cancer (Koutros et al., 2008). In addition, intakes of PhIP, MeIQx, and DiMeIQx did not significanlty influence the risk of advanced prostate cancer in a European study (Sander et al., 2011).
The effect of total protein intake was examined but no significant association was found with the risk of advanced prostate cancer, and null results were also obtained for the association between intakes of animal, dairy, and plant proteins and the risk of advanced prostate cancer (Allen et al., 2008). Liver intake was significantly associated with a reduced risk of advanced prostate cancer [RR (95% CI); 0.79 (0.63, 0.99), for quartile 4 vs. quartile 1] in a Dutch study (Schuurman et al., 1999).
2. Fat
Case-Control Studies
Case-control studies have consistently revealed that intake of total fat and particularly saturated fat was significantly associated with an increased risk of advanced prostate cancer (Bairati et al., 1998; De Stefani et al., 2000; Slattery et al., 1990; Whittemore et al., 1995) (Table 2). Dietary intake of monounsaturated fat (Bairati et al., 1998; De Stefani et al., 2000), polyunsaturated fat (Agalliu et al., 2011; Bairati et al., 1998), linoleic acid, and linolenic acid (Bairati et al., 1998; De Stefani et al., 2000) were generally not associated with advanced prostate cancer risk. When the type and source of linolenic acid were considered, α-linolenic acid and linolenic acid from animal sources (De Stefani et al., 2000) were positively and significantly associated with advanced prostate cancer risk. Higher intake of animal fat was positively associated with the risk of advanced prostate cancer (Bairati et al., 1998; Hayes et al., 1999), whereas a borderline inverse association was observed for total vegetable fat [OR (95% CI): 0.58 (0.32, 1.03), for quartile 4 vs. quartile 1] (Bairati et al., 1998).
Cohort Studies
To our knowledge, only one cohort study has examined fat intake in relation to the risk of advanced prostate cancer. Phytanic acid is a saturated fatty acid present predominantly in red meat and dairy products. Higher phytanic acid intake was associated with an elevated risk of advanced prostate cancer [RR (95% CI): 1.38 (1.02, 1.89) for quartile 4 vs quartile 1] (Wright et al., 2011).
3. Calcium, Vitamin D, and Dairy Products
Case-Control Studies
Dairy products are rich sources of calcium and vitamin D (Rowland et al., 2011). At the time this review was prepared, only one case-control study had investigated the association between calcium intake and advanced prostate cancer risk (Table 3). High calcium intake was associated with an over two-fold increased risk of advanced prostate cancer [OR (95% CI): 2.08 (1.22, 3.53) for quartile 4 vs. quartile 1) (Rowland et al., 2011). Similar results were obtained when total intake of calcium from both diet and supplements was used in the analysis (Rowland et al., 2011). No association was found between intake of dairy products and the risk of advanced prostate cancer (Amin et al., 2008).
Cohort Studies
While most cohort studies suggested that high calcium intake increased the risk of advanced prostate cancer, the effects of milk and other dairy products on aggressive prostate tumors were inconsistent across those studies (Table 3). Schuurman et al., reported no association between intake of milk and milk products and the risk of advanced prostate cancer (Schuurman et al., 1999). However, a significant positive association with calcium intake was observed in another study [RR (95% CI); 1.62 (1.08, 2.43), for quartile 4 vs. quartile] (Wright et al., 2011). This finding was confirmed by a large cohort study (Giovannucci et al., 1998). In the latter study, high calcium consumption significantly increased the risk of advanced prostate cancer [RR (95% CI): 2.97 (1.61, 5.50), for ≥2,000 mg/day vs. < 500 mg/day intake, p-trend = 0.002] (Giovannucci et al., 1998). In a prospective cohort study in which 1,426 cases of advanced prostate cancer was accrued during 6-years of follow-up, a positive but insignificant association was observed between total calcium intake and advanced prostate cancer (Park et al., 2007). Two other studies did not reveal the positive association of total calcium and dietary and supplemental calcium with the risk of advancced prostate cancer (Ahn et al., 2007; Allen et al., 2008).
The associations of other dairy products with the risk of advanced prostate cancer was also evaluated in many studies. Skim milk was associated with an elevated risk of advanced prostate cancer [RR (95% CI): 1.23 (0.99, 1.64), for >2,000 mg/day vs <500 mg/day intake, p-trend = 0.01] (Park et al., 2007). However, intake of low-fat milk did not alter the risk of advanced prostate cancer (Schuurman et al., 1999) or even reduced risk (Wright et al., 2011). In a Dutch population, significant positive association was detected between intakes of butter and cheese and the risk of advanced prostate cancer (Wright et al., 2011). In the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Prevention Trial, intakes of total dairy, low fat dairy, and high fat dairy products did not influence the risk of aggressive prostate cancer (Ahn et al., 2007). Furthermore, intakes of calcium from dietary and supplemental sources did not alter the risk of aggressive prostate cancer (Ahn et al., 2007). In only one study, the association between vitamin D and advanced prostate cancer was examined, with null results reported (Giovannucci and Clinton, 1998).
4. Fruits, Vegetables, and Vitamins
Case-Control Studies
A few case-control studies have reported an overall inverse association between intakes of fruits and vegetables and the risk of advanced prostate cancer (Table 4). Kolonel et.al. reported that intake of all vegetables were associated with a 33% reduced risk of advanced prostate cancer (Kolonel et al., 2000). This protective effect was confined to yellow-green vegetables, cruciferous vegetables, and carrots (Kolonel et al., 2000). Intake of fruits did not modulate the risk of advanced prostate cancer (Kolonel et al., 2000). When aggressive prostate cancer was considered, only leafy vegetables [OR (95% CI): 0.66 (0.46, 0.96), for quartile 4 vs quartile 1, p-trend=0.02] were found to be protective (Hardin et al., 2011). Intake of all vegetables, carotenoid-rich vegetables, all fruits (excluding juice), and vitamin C were marginally significantly associated with a reduced risk of aggressive prostate cancer (p-trend = 0.04 for all vegetables) (Hardin et al., 2011). However, the aforementioned potential benefits conferred by vegetable consumtion were not observed in another case-control study (Amin et al., 2008).
Cohort Studies
The results from cohort studies examining the association between intakes of fruit and vegetables and the risk of advanced prostate cancer were largely inconsistent (Table 4). In a cohort study, fruit intake was inversely associated with the risk of advanced prostate cancer [RR (95%): 0.63 (0.43, 0.93), for > 5 vs. ≤1 serving/day]. However, this inverse association was primarily accounted for by fructose intake [RR (95%) CI: 0.51 (0.33, 0.80), for >70 g vs. ≤40 g/day, p-trend = 0.007) (Giovannucci et al., 1998).Takachi et al did not find any association of fruit intake with the risk of advanced prostate cancer (Takachi et al., 2010). Most cohort studies did not reveal that intakes of total vegetables, green leafy vegetables, yellow vegetables, cruciferous vegetables, and fruits protected against advanced prostate cancer (Agalliu et al., 2011; Giovannucci et al., 2003;Takachi et al., 2010).
Micronutrinets abound in fresh vegetables and fruits. Several studies have examined the association between micronutrients and advanced prostate cancer. It was reported that higher intakes of menaquinones (vitamin K2) (Nimptsch et al., 2008), α-tocopherol (Weinstein et al., 2007), γ-tocopherol, and δ-tocopherol (Wright et al., 2007) were associated with a lower risk of advanced prostate cancer. Similar protective effect for advanced disease was observed for high plasma concentrations of total carotenoids (including α-carotene, β-carotene, β-cryptoxanthin, canthaxanthin, lutein, lycopene, and zexanthin) in the European Prospective Investigation into Cancer and Nutrition Study (Key et al., 2007). However, null results were obtained for vitamin C, β-carotene, β-cryptoxanthin, lutein/zexanthin, selenium, phylloquinone (vitamin K1), and folate in some other studies (Agalliu et al., 2011; Nimptsch et al., 2008; Stevens et al., 2006; Weinstein et al., 2007). The influence of vitamin supplement use on prostate cancer has been also evaluated (Lawson et al., 2007). In the NIH-AARP Diet and Health Study, men who reported an excessive use of multivitamins experienced a significantly increased risk of advanced prostate cancer [RR (95%): 1.32 (1.04, 1.67), for quartile 4 vs. quartile 1] (Lawson et al., 2007). However, some individual micronutrients (vitamin E, selenium, and folate] were not associated with the risk of advanced prostate cancer in the same study (Lawson et al., 2007). Similar null results were found for nutrients involved in one-carbon metabolism (folate, vitamin B2, vitamin B6, vitamin B12, and methionine) in another cohort study (Kasperzyk et al., 2009).
5. Lycopene and Tomato Products
There is a growing body of evidence that lycopene has a beneficial effect on prostate cancer (Dahan et al., 2008; Haseen et al., 2009). Lycopene may suppress prostate carcinogenesis through decreasing lipid oxidation, enhancing antioxidant capacities, and inhibiting cell proliferation (Wei and Giovannucci 2012). The association between lycopene intake and advanced prostate cancer has been evaluated in several studies (Table 5). Giovannucci et.al. reported an inverse association between tomato sauce intake and advanced prostate cancer risk (Giovannucci et al., 2002). In an European study, plasma concentrations of lycopene were associated with a 60% reduced risk of advanced prostate cancer [RR 95% CI: 0.40 (0.19, 0.88) for quintile 5 vs. quintile 1] (Key et al., 2007). It should be pointed out that protective effect on advanced prostate cancer was not detected in some other studies for intake of lycopene (Agalliu et al., 2011; Kirsh et al., 2006), tomatoes and tomato products (Takachi et al., 2010), and other tomato-based food products (pizza, lasagna, and spagghetti) (Kirsh et al., 2006).
6. Other dietary factors
Other dietary factors in relation to advanced prostate cancer are briefly summarized below due to the relative scarcity of data available from epidemiologic studies.
Fish
Three cohorts conducted in the Netherlands (Schuurman et al., 1999), USA (Augustsson et al., 2003), and Finland (Wright et al., 2011) showed that fish consumption did not influence the risk of advanced prostate cancer. However, a significantly reduced risk of metastatic prostate cancer associated with fish consumption was observed in a US cohort [RR (95% C.I): 0.56 (0.37, 0.86), for quartile 4 vs. quartile 1] (Augustsson et al., 2003).
Tea
A number of animal studies have demonstrated that green tea extracts (including polyphenols and catechins) inhibit the growth of prostate tumor (Henning et al., 2011; Siddiqui et al., 2006). This anticarcinogenic effect has been extensively reviewed in a meta-analysis (Zheng et al., 2011). To our knowledge, only one epidemiologic study has investigated the effect of tea consumption on prostate cancer risk (Kurahashi et al., 2008). In that cohort study among Japanese men, green tea consumption was associated with a 48% reduced risk of advanced prostate cancer after adjustment for confounders [RR (95% CI): 0.52 (0.28-0.96) for quintile 5 vs. quintile 1] (Kurahashi et al., 2008). In a randomized chemoprevention trial among 60 volunteers with high-grade prostate intraepithelial neoplasia (precursors of prostate cancer), men who received 600 mg/day of green tea catechins experienced a significant lower risk of prostate cancer than those who received placebo after one-year follow-up (incidence: 3.3% in intervention vs. 30% in placebo, p<0.01) (Bettuzzi et al., 2006).
Zinc
In a case-control study reported by Gallus et.al, zinc intake was not associated with an altered risk of advanced prostate cancer (Gallus et al., 2007), but a potentially reduced risk was found in a cohort study [RR (95% CI): 0.67 (0.41, 1.10), for quartile 4 vs. quartile 1] (Epstein et al., 2011). This insignificant benefit was also observed for intake of zinc from supplements for both aggressive prostate cancer [RR (95% CI): 0.70 (0.41, 1.19), for quartile 4 vs. quartile 1)] and metastasized cancer [RR (95% CI): 0.34 (0.13, 1.09), for quartile 4 vs. quartile 1] (Gonzalez et al., 2009).
Dietary Patterns
In addition to the evaluation of individual nutrients and specific foods, a few case-control studies have investigated whether dietary patterns play a role in the etiology of prostate cancer. The Western diet, characterized by high intake of energy, red meats, and fat and low intake of fiber, has been associated with an increased risk of advanced prostate cancer in an Australian study [OR (95% CI): 2.11 (1.25, 3.60), for quartile 4 vs. quartile 1, p-trend=<0.01] (Ambrosini et al., 2008) and an Uruguayan study [OR (95% CI): 2.35 (1.44, 3.85), for quartile 4 vs. quartile 1, p-trend=<0.0001] (De Stefani et al., 2010), but not in an American study (Wu et al., 2006).
Discussion
Epidemiologic evidence overall suggests that the habitual consumption of a diet high in saturated fat, well-done meats, and calcium conferred an increased risk of advanced prostate cancer. The effects of other nutrients and foods on the development of advanced prostate cancer were largely inconsistent across epidemiologic studies.
A number of epidemiologic studies have shown that intakes of total meats and white meats are not associated with the risk of advanced prostate cancer (Alexander et al., 2010). However, methods for cooking meats should be considered when meat consumption is evaluated for its effect on prostate carcinogenesis. Most, although not all, epidemiologic studies have consistently revealed that intakes of well-done meats and mutagens derived from meats cooked at high temperature (e.g. grilled, fried, and barbecued meats) were associated with a significantly elevated risk of advanced prostate cancer in a dose-response manner (p-trend ≤0.01 for well-done meats for most studies) (Koutros et al., 2008; Punnen et al., 2011; Sinha et al., 2009). The ORs or RRs for the highest vs. lowest categories of intake of well-done meats ranged from 1.28 to 2.16 (Cross et al., 2005; Joshi et al., 2012; Koutros et al., 2008; Punnen et al., 2011; Sinha et al., 2009). The potential role of well-done meats in prostate cancer etiology is biologically plausible because prostate tumors have been induced in rats fed on a meat-derived mutagen (PHiP) (Shirai et al., 1997). Furthermore, PhIP-DNA adducts that may cause DNA mutations and initiate carcinogenesis were detected in all lobes of the prostate of rats receiving PhIP in the same study (Shirai et al., 1997).
As mentioned previously, ecologic and migrant studies strongly suggest that intake of fat and especially animal fat (primarily saturated fat) was associated with an increased risk of prostate cancer (Rose et al., 1986; Whittemore et al., 1995). This obsevation has gained further support from increasing trends in prostate cancer incidence in East Asia over last few decades probably as a consequence of nutrition transition toward the Western diet (Zhang et al., 2012). However, the results from analytical epidemiologic studies on the effect of fat and types of fat on prostate cancer risk were mixed. Most case-control studies have shown a significant, positive association between intakes of total fat and especially saturated fat and the risk of advanced prostate cancer, with risk estimates (ORs) ranged from 1.4 to 8.7 (Bairati et al., 1998; De Stefani et al., 2000; Whittemore et al., 1995). A number of animal studies suggest that fat is implicated in prostate carcinogenesis by promoting oxidative stress and inflammation in the prostate gland (Hill, 1987; Vykhovanets et al., 2011).
To date, one case-control study has demonstrated that dietary intake of calcium was monotonically associated with an increased risk of advanced prostate cancer (p-trend = 0.001) (Rowland et al., 2011). Similar but less consistent results were obtained from cohort studies. Vitamin D was not associated with an elevated risk of advanced prostate cancer (Giovannucci and Clinton, 1998). Vitamin D enhances the absorption of calcium in the gut. Experimental studies have demonstrated that vitamin D promotes the differentiation and suppresses the proliferation of prostate cells (Samuel and Sitrin, 2008). It has been put forward that high calcium intake increases the risk of prostate cancer through reducing circulating levels of 1,25-dihydroxyvitamin D, most active form of this vitamin (Williams et al., 2012).
Most case-control studies have demonstrated a significant, inverse association between intakes of vegetables (yellow-green, cruciferous, carrots, and legumes) and the risk of advanced prostate cancer, with risk estimates (ORs) ranged from 0.36 to 0.96 (Hardin et al., 2011; Kolonel et al., 2000). However, no association was found between intake of vegetables and the risk of advanced prostate cancer in most cohort studies (Agalliu et al., 2011; Stevens et al., 2006; Takachi et al., 2010). Similarly, fruit intake was overall not associated with the risk of advanced prostate cancer in both case-control (Amin et al., 2008; Hardin et al., 2011; Kolonel et al., 2000) and cohort studies (Takachi et al., 2010). Excessive use of multivitamins increases the risk of advanced prostate cancer (Lawson et al., 2007). Vitamin E naturally occurs in eight chemical forms that include tocopherols and tocotrienols (Jiang et al., 2001); α -, γ-, and δ-tocopherol intake has been significantly associated with a reduced risk of advanced prostate cancer, with reported risk estimates (RRs) being from 0.36 to 0.96 (Weinstein et al., 2007; Wright et al., 2007). Vegetables and fruits contain a variety of chemical compounds including vitamin C, carotenoids, flavonoids, phenols, and fiber. These molecules possess antioxidant properties, bind and dilute carcinogens, or alter hormone metabolism (McDermott, 2000), which offers biochemical mechanisms for the protective effect of vegetables and fruits on prostate cancer.
Lycopene is derived largely from tomatoes and tomato-based products (Dahan et al., 2008). As experimental studies have provided ample evidence supporting that lycopene has anticarcinogenic properties that have been mentioned previously, a number of epidemiologic studies have investigated its effect on total prostate cancer (Etminan et al., 2004). A meta-analysis showed a modest inverse association between lycopene intake and the risk of total prostate cancer (Etminan et al., 2004). Among a few studies that reported risk estimates for advanced prostate cancer, a significantly reduced risk was observed for men who exhibited high plasma concentrations of lycopene in an European cohort study (Key et al., 2007). However, this protective effect was not detected in other cohort studies based on the analysis of dietary intake of lycopene (Agalliu et al., 2011; Kirsh et al., 2006). It has been reported that lycopene from raw and cooked tomatoes have different intestinal bioavailability (Gartner et al., 1997), which may offer a partial explanation for the null effect of dietary lycopene on advanced prostate cancer.
The results obtained from epidemiologic studies of dietary patterns in relation to disease risk are more directly applicable to dietary recommendations than those from studies of individual nutrients because people can manipulate nutrient intake by their choice of foods. Two case-control studies have shown that maintaining a Western diet pattern was significantly associated with an over two-fold elevated risk of advanced prostate cancer in a dose-response manner (p-trend < 0.001) (Ambrosini et al., 2008; De Stefani et al., 2010). Similar results were not observed from a cohort study (Wu et al., 2006). In addition, other dietary patterns (e.g. a prudent dietary pattern) were not found to influence the risk of advanced prostate cancer (De Stefani et al., 2010; Wu et al., 2006). Collectively, more epidemiologic studies are encouraged to evaluate the effect of various dietary patterns on the occurrence of total and particularly aggressive prostate cancer because of the importance and relevance of research in this area for cancer etiology, prevention, and control.
Several factors might have contributed to observed inconsistent results of some nutrients and foods in relation to advanced prostate cancer. To date, most studies on this topic have examined total prostate cancer only. In the studies that reported separate results for advanced tumors, the number of advanced prostate cases was generally small, which offer inadequate statistical power to detect modest effects. In addition, scarce data are available on the effect of diet on the risk of aggressive and metastatic prostate cancer. Measured and unmeasured confounding should be considered in the interpretation of results obtained from any epidemiologic studies. Although age, race, and family history were treated as confounders in most studies, adjustment for other potential confounding factors were different among reviewed studies. Last, food frequency questionnaire has been used in the majority of nutritional epidemiologic studies over last two decades. A number of validation studies have shown that underreporting of fat and meats and over reporting of vegetables and fruits intake are common among these studies (Macdiarmid and Blundell, 1998). These dietary measurement errors could result in misclassification of subjects with regard to their dietary intakes of nutrients and foods and consequently the attenuation of true associations of dietary factors with the risk of advanced prostate cancer (Bingham et al., 2003). Recall bias inherent in food frequency questionnaire could be overcome by measuring biochemical indicators of nutrients in various biological specimens (e.g. blood, urine, and tissue). However, these nutritional biomarkers were not determined in most epidemiologic studies.
In summary, epidemiologic studies conducted to date overall suggest that high intakes of saturated fat, meats cooked at high temperature, and calcium are associated with an increased risk of advanced prostate cancer. It should be noted that these results were largely based on a relatively small number of advanced prostate tumors in most epidemiologic studies reviewed. More adequately-powered epidemiologic studies (especially prospective cohort studies) that measure both dietary intake of nutrients and their biomarkers are warranted to further elucidate the role of diet in the etiology of advanced prostate cancer. As dietary factors are modifiable, identifying nutrients or food groups that modulate the risk of advanced prostate cancer can offer effective and practical strategies for its primary prevention.
Flowchart of selecting papers included in this review
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Source: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4091618/
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