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Cancer Prev Res (Phila). Author manuscript; available in PMC Apr 1, 2012.
Published in final edited form as:
PMCID: PMC3071449
NIHMSID: NIHMS264532
Body-mass index, prostate cancer-specific mortality and biochemical recurrence: A systematic review and meta-analysis
Yin Cao1,2 and Jing Ma2
1 Department of Epidemiology, Harvard School of Public Health, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
2 Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA
Request for reprints: Jing Ma, Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, 181 Longwood Avenue, Boston, MA 02115 ; jing.ma/at/channing.harvard.edu Tel: 617-525-2708 Fax: 617-525-2008
Increasing evidence suggested obesity, measured by body-mass index (BMI), was associated with prostate cancer-specific mortality, and its impact on biochemical recurrence was also inconclusive.
We systematically searched MEDLINE, EMBASE and bibliographies of retrieved studies up to Jan 5th, 2010. We used random-effects meta-analysis to assess the relative risks (RR) of prostate cancer-specific mortality and biochemical recurrence associated with a 5 kg/m2 increase in BMI.
Among the 6 population-based cohort studies in 1,263,483 initially cancer-free men, 6,817 prostate cancer deaths occurred; a 5kg/m2 increase in BMI was associated with 15% (RR 1.15, 95%CI 1.06–1.25, p<0.01) higher risk of dying of prostate cancer. In the 6 post-diagnosis survival studies on 18,203 patients with 932 prostate cancer deaths, a 5kg/m2 increase in BMI was associated with 20% higher prostate cancer-specific mortality (RR 1.20, 95%CI 0.99–1.46, p=0.06). In the 16 studies which followed 26,479 prostate cancer patients after primary treatment, a 5kg/m2 increase in BMI was significantly associated with 21% increased risk of biochemical recurrence (RR 1.21, 95%CI 1.11–1.31 p<0.01).
Elevated BMI is associated with risk of prostate cancer-specific mortality in prospective cohort studies and biochemical recurrence in prostate cancer patients. Its association with prostate cancer-specific mortality in diagnosed patients needs to be further evaluated.
Keywords: obesity, body-mass index, prostate cancer mortality, biochemical recurrence, meta-analysis
Obesity, a growing epidemic in all over the world, has been linked to mortality of several cancers (1), but only in the past 5 to 10 years, body-mass index (BMI) as a surrogate of adiposity has been extensively evaluated for prostate cancer incidence and mortality.
Higher BMI in mid/late adult life is weakly associated with higher risk of incident prostate cancer (2), but recently the pattern that obesity is associated with lower risk of low grade prostate cancer and higher risk of aggressive prostate cancer emerges (25). Increasing evidence suggested that higher BMI is associated with poorer outcomes, i.e. higher risk of prostate cancer-specific mortality among both obese healthy adults (4, 68) and prostate cancer patients (913), and higher rates of biochemical recurrence among diagnosed patients (1416), however, no systematic review data is available regarding the impact of obesity and overweight on prostate cancer progression.
It is crucial to review and evaluate the magnitude that obesity affects mortality and recurrence of prostate cancer as proper management of this modifiable life style factor may help improve prostate cancer outcomes. We therefore conducted a meta-analysis to quantitatively summarize the association between BMI and risk of dying of prostate cancer in initially cancer-free men, prostate cancer-specific mortality among the diagnosed, and biochemical recurrence in the treated.
Search Strategy
This systematic review was conducted according to the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines (17). We searched MEDLINE and EMBASE to identify relevant articles on human subjects that were written in English from the inception of each database to January 5, 2010 using the key words related to obesity (‘obesity’, ‘overweight’, ‘body weight’, ‘body mass index’, ‘BMI’, ‘weight’, ‘body size’, ‘adiposity’) combined with specific terms on prostate cancer mortality or biochemical recurrence (‘prostate cancer’ and ‘mortality’, ‘survival’, ‘death’, ‘prognosis’, ‘progression’ or ‘recurrence’). Bibliographies of retrieved papers were also searched.
Eligibility Criteria
The eligibility of each study was assessed independently by two investigators (Y.C., J.M.). We included only cohort studies of mid/late life BMI and prostate cancer-specific mortality (prostate cancer as the underlying cause of death), and clinical studies of BMI and biochemical recurrence after treatment. We excluded reviews, editorials, meta-analysis, animal studies or in vitro studies, and non-English written studies. Among the 40 studies we performed a full text review on, we excluded studies conducted among patients with metastatic prostate cancer (18, 19), using a broader definition of progression rather than biochemical recurrence (20) and in which BMI was not used to measure obesity (21, 22). For studies previously published on the same database (2325), we included only the most recent findings (16, 26).
We included studies that reported standardized forms of relative risk, risk ratio, hazard ratio or odds ratio, with estimates on confidence intervals (CIs), and used relative risks (RRs) to represent various effect estimates. We excluded studies failing to report the above estimates (2730) or presenting only univariate estimates (31, 32).
Data Extraction
Data extraction was conducted independently by two investigators (Y.C., J.M.) using a standardized data extraction form. For each included article, we extracted information on the title, authors, journal and publication year, study design, study population and setting, duration of follow-up, BMI categories, definition of biochemical recurrence, number of outcomes, the most adjusted effect estimates, and covariates controlled in multivariable analysis. For studies that presented findings from more than one database, we extracted only the most recent update from each of the databases (8, 33).
Statistical Analysis
We analyzed BMI as a continuous variable by first transforming all the relative risk estimates to the corresponding RRs for every 5kg/m2 increase in BMI, with the assumption that the risk increment is constant, and also allowed for a fair comparison among studies using different BMI categories.
Whenever RR per kg/m2 increase in BMI and its 95% CI were available, we used them to estimate the RR and 95% CI for every 5kg/m2 BMI increase. Category-specific RRs were converted into RRs associated with every 5kg/m2 increase in BMI by use of generalized least-squares for trend estimation whenever person-time data were available, or weighted least square method when only counts of death were available(34, 35). The value assigned to each BMI category was the mid-point for closed categories and was adjusted for half range of the neighborhood categories when categories were open-ended. In three studies where BMI was only divided into two open-ended categories, we assumed that the RR and CI estimate for the higher BMI category was similar to estimates for a 5kg/m2 increase in BMI(15, 36, 37). We validated such methods in studies which presented RRs for both continuous and categorical BMI, and found that the RR per kg/m2 increase obtained by conversion was similar with the RR for continuous BMI shown in the paper (11).
We pooled all the RRs for a 5kg/m2 increase in BMI using DerSimonian-Laired random-effect meta-analysis(38), and assessed the heterogeneity between studies by Q and I2 statistics. Sensitivity analysis was conducted by omitting one study at a time, generating the pooled estimates and comparing with the original estimates. Stratified meta-analysis was performed by country of study, BMI measurement, definition of biochemical recurrence, and specific treatment type within patients treated with radiation therapy. Funnel plots and both Begg’s and Egger’s tests were used to evaluate publication bias. We also calculated population attributable risk percent (PAR%) among diagnosed prostate cancer patients using available category specific RRs, based on prevalence of overweight and obesity of US males aged 60 and above from the National Health and Nutrition Examination Survey (NHANES) 2007–2008 (39).
All analyses were performed using STATA version 10.0 statistical software (Stata, College Station, Texas, USA). All statistical comparisons were 2-sided, and a p-value<0.05 was considered statistically significant.
Data Extracted and Quality
Twenty-six studies met the inclusion criteria. Of these studies, 12 evaluated BMI and prostate cancer-specific mortality(1, 4, 613, 40, 41) and 16 assessed biochemical recurrence after primary treatment (Figure 1).(1216, 26, 33, 36, 37, 4248) Two (12, 13) presented findings on both outcomes and therefore were included in both the meta-analyses of mortality and biochemical recurrence
Figure 1
Figure 1
Selection of studies for meta-analysis
Six of the 12 studies of prostate cancer-specific mortality were population-based cohort studies conducted among volunteers in the United States and Europe(1, 4, 68, 40). A total of 1,263,483 initially cancer-free men were prospectively followed up for an average of over ten years except one with 5.5 years(4), and 6,817 men died of prostate cancer (Table 1). BMI was self-reported, measured or retrieved from medical records at study enrollment. All the studies had controlled for smoking status.
Table 1
Table 1
Characteristics of identified studies on body-mass index and prostate cancer-specific mortality (N=12)
The other 6 studies (913, 41) followed the survival of 18,203 diagnosed prostate cancer patients in the United States and the Netherlands; 932 prostate cancer deaths were found. Prostate cancer patients were identified from population-based case-control or cohort studies(10, 11) or various clinical settings(9, 12, 13, 41). Four studies had an average follow-up of over 7 years but the two largest studies had only 4 years of follow-up(13, 41). The two population-based studies assessed BMI by self-report either one year before diagnosis(10) or at the study entrance years before diagnosis(11). Three clinical studies measured BMI at the time of first treatment(9, 12, 13), and one study retrieved post-diagnostic BMI from urologists at the time of entering the CaPSURE database(41). The two population-based studies controlled for smoking status but none of the 4 clinical studies did so. All the studies controlled for clinical risk, mostly through Gleason score.
The 16 studies on BMI and biochemical recurrence (1216, 26, 33, 36, 37, 4248) followed 26,479 prostate cancer patients after primary treatment for 2 to 10 years (Table 2). Majority were conducted in the United States, two in the Netherlands, one in Japan, and mostly in a single clinic or medical center. In most studies, BMI was measured or self-reported at study enrollment, either at diagnosis or right before surgery, while some did not indicate the timing for BMI measurement. Most studies controlled for preoperative clinical and/or pathologic characteristics, i.e. preoperative PSA, Gleason score, and surgical margin status but none of the studies controlled for smoking status.
Table 2
Table 2
Characteristics of identified studies on body-mass index and biochemical recurrence after prostate cancer treatment (N=16)
Main Findings
The pooled estimates for the 6 cohort studies showed a significant 15% (RR 1.15, 95% CI 1.06–1.25, p<0.01) higher risk of prostate cancer mortality associated with each 5kg/m2 increase in BMI (Figure 2a). The P value for heterogeneity from the Cochran Q test (Q=12.23) was 0.03 and I2 was 59%, suggesting a moderate heterogeneity between studies.
Figure 2
Figure 2
Figure 2
Figure 2a. Relative risks per 5kg/m2 increase of body-mass index and prostate cancer-specific mortality
Pooling the 6 post-diagnosis survival studies showed a 20% higher risk of prostate cancer-specific mortality (RR 1.20, 95% CI 0.99–1.46, p=0.06) associated with each 5kg/m2 increase in BMI (Figure 2a). The P value for heterogeneity from Cochran Q test (Q=19.18) was less than 0.01 and I2 was 74%, indicating high heterogeneity among studies. The high heterogeneity explains the borderline non-significance of the overall estimation, and was mainly driven by non-significant inverse association reported from the CaPSURE study,(41) which counted for more than a third of the pooled population.
A 5kg/m2 increase in BMI was associated with a 21% increased risk of biochemical recurrence (RR 1.21, 95% CI 1.11–1.31, P<0.01) (Figure 2b). The P value for heterogeneity was less than 0.01(Q=63.15) and I2 was 75%, suggesting a high degree of heterogeneity among studies. We also evaluated the association by types of treatment because severe obesity might prohibit patients from receiving surgical treatment and thus bias the overall estimate. Among the eleven (12 data points) studies of radical prostatectomy, ten (11 data points) showed positive associations and nine were statistically significant. The pooled estimate showed that a 5kg/m2 BMI increase was associated with a significant 25% higher risk of biochemical recurrence (RR 1.25, 95% CI 1.12–1.40, P<0.01; Q=54.63 I2=79%). Among patients treated with radiation therapy with or without ADT, four of the 5 studies showed positive associations and three were statistically significant. The pooled estimate showed that a 5kg/m2 BMI increase was associated with a significant 15% higher risk of biochemical recurrence (RR 1.15, 95% CI 1.03–1.28, P=0.01; Q=7.09 I2=44%).
Sensitivity Analysis
We conducted sensitivity analysis by omitting one study at a time, generating the pooled estimates and comparing with the original estimates. Omitting any one of 6 population-based cohort studies had no dramatic influence on the original pooled RRs, with newly pooled RR ranging from 1.11 (95% CI 1.04–1.18) to 1.20 (95% CI 1.05–1.35). In the 6 post-diagnosis survival studies, omitting Davies et al generated a significant RR 1.30 (95% CI 1.15–1.47), while none of the other had a huge influence on the original estimates with RRs ranging from 1.17 (95% CI 0.95–1.39) to 1.26 (95% CI 0.99–1.54). Of the 16 studies on BMI and biochemical recurrence, none of the studies altered significance of the original estimate with newly pooled RRs from 1.24 (95% CI 1.14–1.34) to 1.30 (95% CI 1.19–1.41).
Subsequent sensitivity analysis by stratification suggested greater RR in studies conducted in the United States compared to Europe, self-reported BMI compared to measured BMI in population-based cohort study, post diagnosis survival study and study of biochemical recurrence among patients treated with radical prostatectomy (Table 3). RR was slighter lower and non-significant (RR 1.24; 95% CI (0.98–1.58) in studies (12, 37, 42, 43, 48) that used definition of biochemical recurrence other than single PSA ≥0.2ng/mL (15, 26, 36, 47) or single PSA >0.2ng/mL, two of 0.2ng/mL, or secondary treatment for a high PSA level after radical prostatectomy (16, 33). Among patients treated with radiation therapy, no association between BMI and biochemical recurrence was detected in patients receiving brachytherapy (RR 0.99; 95% CI 0.78–1.25) (13, 46).
Table 3
Table 3
Stratified meta-analysis of the assocation of BMI and prostate cancer-specific mortality and biochemical recurrence
Publication Bias
Publication bias was not observed among the 6 population-based cohort studies and the 6 post-diagnosis survival studies on BMI and prostate cancer-specific mortality. Significant publication bias as indicated by an asymmetric funnel plot among the 16 studies on BMI and biochemical recurrence revealed the possibility of selective publication of positive findings.
Population attributable risk percent (PAR%) in diagnosed patients
In total, 20% of the prostate cancer deaths were attributable to overweight (10.9%) and obesity (9.1%) without the study by Davies et al. With this study, the PAR% was 11.7% in total, 6.1% from overweight and 5.6% from obesity.
We found that higher BMI in initially cancer-free population was significantly associated with higher risk of future prostate cancer mortality. Among diagnosed patients, higher BMI was associated with a significantly higher risk of biochemical recurrence after primary treatment, and a borderline non-significantly elevated risk of prostate cancer-specific mortality. To our knowledge, this is the first meta-analysis that comprehensively summarized and quantitatively analyzed the current findings on obesity and outcomes of prostate cancer.
Previously, two meta-analyses on BMI and risk of prostate cancer were published, but each addressed different hypothesis compared to our study. Robinson et al summarized findings on the association of childhood and young adulthood BMI and risk of advanced prostate cancer and fatal prostate cancer (only 1 study on fatal outcome), and the RR was close to the null (RR 1.01, 95% CI: 0.89–1.14) for each 5-unit increase in BMI (49), indicating little impact of young adulthood BMI on risk of advanced prostate cancer. MacInnis et al meta-analyzed both cohort and case controls studies on BMI and risk of advanced prostate cancer, and found that BMI was associated with 12% higher risk of advanced prostate cancer (RR 1.12, 95% CI: 1.01–1.23) for each 5-unit increase (2). However, the association of BMI and fatal prostate cancer was not addressed in that study. In the present study, we assessed endpoints of disease progression such as prostate cancer mortality and biochemical recurrence among healthy population as well as among the diagnosed patients to specifically evaluate the role of adiposity on prostate cancer progression.
Overall, we found that the magnitude of the pooled effect estimates were quite similar with 15%–21% increased risk for each 5 kg/m2 increase in BMI, despite different study designs (cohort or survival studies), study settings (cohort from healthy group or clinical studies), outcome assessments (prostate cancer-specific mortality or recurrence), or from multiple countries with different social economic or racial (Caucasians, African Americans, and Asian men) backgrounds. The similar pooled estimates across different types of clinical treatments further suggest the robust association between obesity and prostate cancer progression.
Several possible explanations have been proposed. First, such association could be due to delayed diagnosis and more advanced stage at diagnosis in obese men. It has been suggested that obesity makes prostate cancer early detection more difficult due to less PSA screening, lower accuracy of digital rectal examination in obese men and lower PSA values caused by obesity-related hemodilution (33, 50). Obese individual has higher chance to be missed as the cancer detected by PSA screening is so small and larger prostate gland (51) makes the detection of existent cancer less likely (52). Although the existence of such detection bias could not be fully ruled out, studies by Wright et al and Ma et al suggested that elevated BMI was significantly associated with higher risk of prostate cancer-specific mortality in those without PSA screening (4) and in both pre and PSA screening era (11). Alternatively, difficulties in treatment, such as increased risk of positive surgical margins (12, 23, 31), and the greater day-to-day variation of prostate location that leads to lower dose and less effective radiation (53), could also contribute to the poorer outcome observed in diagnosed patients. However, the association with recurrence is still strong and significant after adjusting for margin status in many of the studies included in our analysis (Table 2).
Potential biological mechanisms of adiposity and prostate cancer progression have been proposed and under investigation. Hormonal and metabolic changes in obese men are the primary concern. One hypothesis is that certain obesity-related metabolic dysregulation such as hyperinsulinemia and/or hypoadiponectinemia favors aggressive neoplastic behavior (11, 54). It was also found that lower levels of testosterone in obese men may be linked to poorly differentiated and hormone insensitive tumors (55, 56). Obesity is also associated with increased levels of free IGF-1, which is found to stimulate growth of prostate cell lines in vitro and be more closely related to advanced stage prostate cancer in human (57).
High heterogeneity was detected among the studies reviewed in the present analysis. The stratified meta-analyses suggested strong and consistent association between BMI and higher prostate cancer mortality and biochemical recurrence in studies conducted in the United States. Smaller relative risks in the few available studies from Europe could be attributable to large variability in the linear transformed RRs under a lower prevalence of obesity in European countries. We also found that studies using self-reported BMI presented stronger association than studies utilizing measure BMI, and different magnitudes of association between BMI and biochemical recurrence among patients on different radiation therapies were also observed. These evidence reflected the need of investigations in different countries and among different subgroup of patients.
In further reviewing the heterogeneity between cohort studies and clinical studies, several issues are worth noting. First, missing data of BMI and shorter period of follow-up in clinical studies could bias the estimate and limit the findings. For example, in the study by Siddiqui et al, 23% of the patients had missing BMI and in Davies et al, only 53% of the patients in the CaPSURE database were included. Both studies and the study by van Roermund et al had lower prostate cancer-specific mortality (3–4%) compared to other studies either due to short follow-up of 3–4 years or selection of much healthier individuals. Secondly, clinical studies have detailed treatment information but many of these studies lack of data for major confounding factors such as cigarette smoking. The J-shape association of BMI with total mortality confounded by cigarette smoking (58, 59) may apply similarly to BMI and prostate cancer mortality, as current smokers may have increased risk of dying of prostate cancer (60, 61). However, none of the clinical studies included in our analysis controlled for smoking. In contrast, although large prospective cohort studies tend to have a more valid measurement of exposure and covariates, as well as complete follow-up, these studies usually lack detailed clinical treatment information. Therefore, the totality of the evidence obtained from different population, study settings, and outcome assessments in our meta-analysis provide a more objective conclusion.
Over the past two decades, widespread PSA screening significantly increased the number of prostate cancers detected at very early stage, whereas cancer-specific mortality remains relatively constant over time (62). Many men with localized tumors, especially those obese or overweight men are likely to have diabetes and cardiovascular disease and are more likely to die of diseases other than prostate cancer. Since the majority of the studies reviewed in this meta-analysis did not control for competing causes of death, the pooled RR could be an attenuated estimate.
Timing of the BMI assessment is important to evaluate the possibility of reverse causation, i.e. weight change influenced by disease severity or treatments (i.e. ADT causes weight gain even after a short period of treatment (63), and is crucial to the design of intervention strategy. In our study, all of the 6 cohort studies and study by Ma et al assessed BMI years in mid-life and found stronger association, suggesting that adiposity precede cancer progression. This observation provides encouraging evidence for using weight management as a long term strategy to prevent death from prostate cancer at the population level. Although whether weight control will help improve outcomes among overweight and obese patient remains unknown, our findings from BMI measured at diagnosis or before surgery suggest additional clinical benefit to improve outcome from prostate cancer. These interventions may include increasing self-awareness, more early detection efforts by health professionals, more counseling on healthy lifestyle (i.e. exercise) after diagnosis and appropriate individualized treatment for overweight or obese patients.
The strengths of our study include the use of generalized least square methods for relative risk transformations associated with a standard per 5 kg/m2 increase in BMI to allow for comparisons among different studies using different BMI categories, the use of the random-effect model to incorporate heterogeneity, separated analysis on BMI and fatal prostate cancer by different study design and different outcomes, sensitivity analysis, and estimation of population attributable risk.
Meta-analysis of observational studies cannot avoid undetected biases and confounding factors inherent in the original studies. Analyzing BMI as a continuous variable by first transforming all the relative risk estimates to the corresponding RRs for every 5kg/m2 increase in BMI was a way to allow for comparisons among studies but it also assumed the risk increment was constant. We validated such methods in studies that presented RRs for both continuous and categorical BMI, and found that the RR per kg/m2 increase obtained by conversion was similar with the RR for continuous BMI shown in the paper (11).
We did not include four studies (2730) on biochemical recurrence that did not present relative risk estimates or confidence intervals. Among these four studies, two studies in Canada showed that BMI was predictive of reduced biochemical disease free survival among patients treated with radiation therapy (27) or radical prostatectomy (30). Another two consecutive studies by Merrick et al showed null association between BMI and biochemical recurrence free survival in patients treated with brachytherapy, which were consistent with studies included in our meta-analysis (Table 3). We also excluded two studies that presented only univariate relative risk estimates since the association of BMI and prostate cancer outcome are potentially confounded by confounding factors such as age. Among these two, Motamedinia et al found no difference in the obese and nonobese patients’ actual observed biochemical failure rate, whereas Amling et al showed that obesity alone predicted biochemical recurrence with RR 1.20 (95% CI 1.02–1.42) for obese vs non-obese patients. The association was not significant in the multivariate model after adjusting for pathologic variables but the study unfortunately did not present the data. They also found that increased BMI was associated worse pathologic outcomes, i.e. BMI was an independent predictor of higher Gleason grade cancer, thus suggested that the association between obesity and poor biochemical recurrence could be mediated by pathologic factors. If true, our pooled RR would be a conservative estimate of the association between BMI and biochemical recurrence as majority of the studies included in our meta-analysis had adjusted for pathologic variables.
In conclusion, this meta-analysis provides the first quantitative assessment of the evidence accumulated up to date from 26 studies of a pooled population of 1,302,246 from different countries, various study designs, and majority were published within the past 5 years. It showed a consistent 15–21% increased risk of fatal prostate cancer or biochemical recurrence, and an estimated 12–20% of prostate cancer deaths could be attributable to overweight and obesity. Further investigations are needed to evaluate the role of BMI measured at different stages of life, before, at, or after prostate cancer diagnosis, the impact of weight control on prostate cancer-specific and all-cause mortality. Studies of biomarkers and genetic markers related to adiposity and energy metabolism will provide biological plausibility for a causal role and can guide the development of effective and targeted cancer prevention and therapeutic strategies. Randomized weight control interventions in clinical setting or community-based program could provide a more definitive answer.
Acknowledgments
We thank Dr. Yi Ning for programming support for the analyses in this paper and Daad Abraham for technical support in preparation of the meta-analysis.
Grant Support: The study was supported by grant # 019894 and NIH R01 CA42182-19.
1. Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ. Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults. N Engl J Med. 2003;348:1625–38. [PubMed]
2. MacInnis RJ, English DR. Body size and composition and prostate cancer risk: systematic review and meta-regression analysis. Cancer Causes Control. 2006;17:989–1003. [PubMed]
3. Rodriguez C, Freedland SJ, Deka A, Jacobs EJ, McCullough ML, Patel AV, et al. Body mass index, weight change, and risk of prostate cancer in the Cancer Prevention Study II Nutrition Cohort. Cancer Epidemiol Biomarkers Prev. 2007;16:63–9. [PubMed]
4. Wright ME, Chang SC, Schatzkin A, Albanes D, Kipnis V, Mouw T, et al. Prospective study of adiposity and weight change in relation to prostate cancer incidence and mortality. Cancer. 2007;109:675–84. [PubMed]
5. Gong Z, Neuhouser ML, Goodman PJ, Albanes D, Chi C, Hsing AW, et al. Obesity, diabetes, and risk of prostate cancer: results from the prostate cancer prevention trial. Cancer Epidemiol Biomarkers Prev. 2006;15:1977–83. [PubMed]
6. Andersson SO, Wolk A, Bergstrom R, Adami HO, Engholm G, Englund A, et al. Body size and prostate cancer: a 20-year follow-up study among 135006 Swedish construction workers. J Natl Cancer Inst. 1997;89:385–9. [PubMed]
7. Giovannucci E, Liu Y, Platz EA, Stampfer MJ, Willett WC. Risk factors for prostate cancer incidence and progression in the health professionals follow-up study. Int J Cancer. 2007;121:1571–8. [PMC free article] [PubMed]
8. Rodriguez C, Patel AV, Calle EE, Jacobs EJ, Chao A, Thun MJ. Body mass index, height, and prostate cancer mortality in two large cohorts of adult men in the United States. Cancer Epidemiol Biomarkers Prev. 2001;10:345–53. [PubMed]
9. Efstathiou JA, Bae K, Shipley WU, Hanks GE, Pilepich MV, Sandler HM, et al. Obesity and mortality in men with locally advanced prostate cancer: analysis of RTOG 85–31. Cancer. 2007;110:2691–9. [PMC free article] [PubMed]
10. Gong Z, Agalliu I, Lin DW, Stanford JL, Kristal AR. Obesity is associated with increased risks of prostate cancer metastasis and death after initial cancer diagnosis in middle-aged men. Cancer. 2007;109:1192–202. [PubMed]
11. Ma J, Li H, Giovannucci E, Mucci L, Qiu W, Nguyen PL, et al. Prediagnostic body-mass index, plasma C-peptide concentration, and prostate cancer-specific mortality in men with prostate cancer: a long-term survival analysis. Lancet Oncol. 2008;9:1039–47. [PMC free article] [PubMed]
12. Siddiqui SA, Inman BA, Sengupta S, Slezak JM, Bergstralh EJ, Leibovich BC, et al. Obesity and survival after radical prostatectomy: A 10-year prospective cohort study. Cancer. 2006;107:521–9. [PubMed]
13. van Roermund JG, Hinnen KA, Battermann JJ, Witjes JA, Bosch JL, Kiemeney LA, et al. Body mass index is not a prognostic marker for prostate-specific antigen failure and survival in Dutch men treated with brachytherapy. BJU Int. 2009 [PubMed]
14. Efstathiou JA, Chen MH, Renshaw AA, Loffredo MJ, D’Amico AV. Influence of body mass index on prostate-specific antigen failure after androgen suppression and radiation therapy for localized prostate cancer. Cancer. 2007;109:1493–8. [PubMed]
15. Hisasue S, Yanase M, Shindo T, Iwaki H, Fukuta F, Nishida S, et al. Influence of body mass index and total testosterone level on biochemical recurrence following radical prostatectomy. Jpn J Clin Oncol. 2008;38:129–33. [PubMed]
16. Jayachandran J, Banez LL, Aronson WJ, Terris MK, Presti JC, Jr, Amling CL, et al. Obesity as a predictor of adverse outcome across black and white race: results from the Shared Equal Access Regional Cancer Hospital (SEARCH) Database. Cancer. 2009;115:5263–71. [PMC free article] [PubMed]
17. Stroup DF, Berlin JA, Morton SC, Olkin I, Williamson GD, Rennie D, et al. Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group. JAMA. 2000;283:2008–12. [PubMed]
18. Halabi S, Ou SS, Vogelzang NJ, Small EJ. Inverse correlation between body mass index and clinical outcomes in men with advanced castration-recurrent prostate cancer. Cancer. 2007;110:1478–84. [PubMed]
19. Halabi S, Small EJ, Vogelzang NJ. Elevated body mass index predicts for longer overall survival duration in men with metastatic hormone-refractory prostate cancer. J Clin Oncol. 2005;23:2434–5. author reply 5. [PubMed]
20. Mallah KN, DiBlasio CJ, Rhee AC, Scardino PT, Kattan MW. Body mass index is weakly associated with, and not a helpful predictor of, disease progression in men with clinically localized prostate carcinoma treated with radical prostatectomy. Cancer. 2005;103:2030–4. [PMC free article] [PubMed]
21. Smith MR, Bae K, Efstathiou JA, Hanks GE, Pilepich MV, Sandler HM, et al. Diabetes and mortality in men with locally advanced prostate cancer: RTOG 92-02. J Clin Oncol. 2008;26:4333–9. [PMC free article] [PubMed]
22. Snowdon DA, Phillips RL, Choi W. Diet, obesity, and risk of fatal prostate cancer. Am J Epidemiol. 1984;120:244–50. [PubMed]
23. Freedland SJ, Aronson WJ, Kane CJ, Presti JC, Jr, Amling CL, Elashoff D, et al. Impact of obesity on biochemical control after radical prostatectomy for clinically localized prostate cancer: a report by the Shared Equal Access Regional Cancer Hospital database study group. J Clin Oncol. 2004;22:446–53. [PubMed]
24. Freedland SJ, Terris MK, Presti JC, Jr, Amling CL, Kane CJ, Trock B, et al. Obesity and biochemical outcome following radical prostatectomy for organ confined disease with negative surgical margins. J Urol. 2004;172:520–4. [PubMed]
25. Freedland SJ, Grubb KA, Yiu SK, Humphreys EB, Nielsen ME, Mangold LA, et al. Obesity and risk of biochemical progression following radical prostatectomy at a tertiary care referral center. J Urol. 2005;174:919–22. [PubMed]
26. Magheli A, Rais-Bahrami S, Trock BJ, Humphreys EB, Partin AW, Han M, et al. Impact of body mass index on biochemical recurrence rates after radical prostatectomy: an analysis utilizing propensity score matching. Urology. 2008;72:1246–51. [PMC free article] [PubMed]
27. Palma D, Pickles T, Tyldesley S. Obesity as a predictor of biochemical recurrence and survival after radiation therapy for prostate cancer. BJU Int. 2007;100:315–9. [PubMed]
28. Merrick GS, Galbreath RW, Butler WM, Wallner KE, Allen ZA, Adamovich E. Obesity is not predictive of overall survival following permanent prostate brachytherapy. Am J Clin Oncol. 2007;30:588–96. [PubMed]
29. Merrick GS, Butler WM, Wallner KE, Galbreath RW, Allen Z, Lief JH, et al. Influence of body mass index on biochemical outcome after permanent prostate brachytherapy. Urology. 2005;65:95–100. [PubMed]
30. Chun FK, Briganti A, Graefen M, Erbersdobler A, Walz J, Schlomm T, et al. Body mass index does not improve the ability to predict biochemical recurrence after radical prostatectomy. Eur J Cancer. 2007;43:375–82. [PubMed]
31. Amling CL, Riffenburgh RH, Sun L, Moul JW, Lance RS, Kusuda L, et al. Pathologic variables and recurrence rates as related to obesity and race in men with prostate cancer undergoing radical prostatectomy. J Clin Oncol. 2004;22:439–45. [PubMed]
32. Motamedinia P, Korets R, Spencer BA, Benson MC, McKiernan JM. Body mass index trends and role of obesity in predicting outcome after radical prostatectomy. Urology. 2008;72:1106–10. [PubMed]
33. Freedland SJ, Sun L, Kane CJ, Presti JC, Jr, Terris MK, Amling CL, et al. Obesity and oncological outcome after radical prostatectomy: impact of prostate-specific antigen-based prostate cancer screening: results from the Shared Equal Access Regional Cancer Hospital and Duke Prostate Center databases. BJU Int. 2008;102:969–74. [PubMed]
34. Orisini NBR, Greenland S. Generalized least squares for trend estimation of summarized dose-response data. Stata Journal. 2006;6:40–57.
35. Ning Y, Wang L, Giovannucci EL. A quantitative analysis of body mass index and colorectal cancer: findings from 56 observational studies. Obes Rev. 2009 [PubMed]
36. Freedland SJ, Isaacs WB, Mangold LA, Yiu SK, Grubb KA, Partin AW, et al. Stronger association between obesity and biochemical progression after radical prostatectomy among men treated in the last 10 years. Clin Cancer Res. 2005;11:2883–8. [PubMed]
37. Spangler E, Zeigler-Johnson CM, Coomes M, Malkowicz SB, Wein A, Rebbeck TR. Association of obesity with tumor characteristics and treatment failure of prostate cancer in African-American and European American men. J Urol. 2007;178:1939–44. discussion 45. [PubMed]
38. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7:177–88. [PubMed]
39. Flegal KM, Carroll MD, Ogden CL, Curtin LR. Prevalence and trends in obesity among US adults, 1999–2008. JAMA. 2010;303:235–41. [PubMed]
40. Eichholzer M, Bernasconi F, Jordan P, Stahelin HB. Body mass index and the risk of male cancer mortality of various sites: 17-year follow-up of the Basel cohort study. Swiss Med Wkly. 2005;135:27–33. [PubMed]
41. Davies BJ, Smaldone MC, Sadetsky N, Dall’era M, Carroll PR. The impact of obesity on overall and cancer specific survival in men with prostate cancer. J Urol. 2009;182:112–7. discussion 7. [PubMed]
42. Bassett WW, Cooperberg MR, Sadetsky N, Silva S, DuChane J, Pasta DJ, et al. Impact of obesity on prostate cancer recurrence after radical prostatectomy: data from CaPSURE. Urology. 2005;66:1060–5. [PubMed]
43. Strom SS, Wang X, Pettaway CA, Logothetis CJ, Yamamura Y, Do KA, et al. Obesity, weight gain, and risk of biochemical failure among prostate cancer patients following prostatectomy. Clin Cancer Res. 2005;11:6889–94. [PubMed]
44. Strom SS, Kamat AM, Gruschkus SK, Gu Y, Wen S, Cheung MR, et al. Influence of obesity on biochemical and clinical failure after external-beam radiotherapy for localized prostate cancer. Cancer. 2006;107:631–9. [PubMed]
45. Stroup SP, Cullen J, Auge BK, L’Esperance JO, Kang SK. Effect of obesity on prostate-specific antigen recurrence after radiation therapy for localized prostate cancer as measured by the 2006 Radiation Therapy Oncology Group-American Society for Therapeutic Radiation and Oncology (RTOG-ASTRO) Phoenix consensus definition. Cancer. 2007;110:1003–9. [PubMed]
46. Efstathiou JA, Skowronski RY, Coen JJ, Grocela JA, Hirsch AE, Zietman AL. Body mass index and prostate-specific antigen failure following brachytherapy for localized prostate cancer. Int J Radiat Oncol Biol Phys. 2008;71:1302–8. [PubMed]
47. King CR, Spiotto MT, Kapp DS. Obesity and risk of biochemical failure for patients receiving salvage radiotherapy after prostatectomy. Int J Radiat Oncol Biol Phys. 2009;73:1017–22. [PubMed]
48. van Roermund JG, Kok DE, Wildhagen MF, Kiemeney LA, Struik F, Sloot S, et al. Body mass index as a prognostic marker for biochemical recurrence in Dutch men treated with radical prostatectomy. BJU Int. 2009;104:321–5. [PubMed]
49. Robinson WR, Poole C, Godley PA. Systematic review of prostate cancer’s association with body size in childhood and young adulthood. Cancer Causes Control. 2008;19:793–803. [PubMed]
50. Banez LL, Hamilton RJ, Partin AW, Vollmer RT, Sun L, Rodriguez C, et al. Obesity-related plasma hemodilution and PSA concentration among men with prostate cancer. JAMA. 2007;298:2275–80. [PubMed]
51. Freedland SJ, Platz EA, Presti JC, Jr, Aronson WJ, Amling CL, Kane CJ, et al. Obesity, serum prostate specific antigen and prostate size: implications for prostate cancer detection. J Urol. 2006;175:500–4. discussion 4. [PubMed]
52. Kranse R, Beemsterboer P, Rietbergen J, Habbema D, Hugosson J, Schroder FH. Predictors for biopsy outcome in the European Randomized Study of Screening for Prostate Cancer (Rotterdam region) Prostate. 1999;39:316–22. [PubMed]
53. Millender LE, Aubin M, Pouliot J, Shinohara K, Roach M., 3rd Daily electronic portal imaging for morbidly obese men undergoing radiotherapy for localized prostate cancer. Int J Radiat Oncol Biol Phys. 2004;59:6–10. [PubMed]
54. Li H, Stampfer MJ, Mucci L, Rifai N, Qiu W, Kurth T, et al. A 25-year prospective study of plasma adiponectin and leptin concentrations and prostate cancer risk and survival. Clin Chem. 56:34–43. [PMC free article] [PubMed]
55. Platz EA, Leitzmann MF, Rifai N, Kantoff PW, Chen YC, Stampfer MJ, et al. Sex steroid hormones and the androgen receptor gene CAG repeat and subsequent risk of prostate cancer in the prostate-specific antigen era. Cancer Epidemiol Biomarkers Prev. 2005;14:1262–9. [PubMed]
56. Severi G, Morris HA, MacInnis RJ, English DR, Tilley W, Hopper JL, et al. Circulating steroid hormones and the risk of prostate cancer. Cancer Epidemiol Biomarkers Prev. 2006;15:86–91. [PubMed]
57. Chan JM, Stampfer MJ, Ma J, Gann P, Gaziano JM, Pollak M, et al. Insulin-like growth factor-I (IGF-I) and IGF binding protein-3 as predictors of advanced-stage prostate cancer. J Natl Cancer Inst. 2002;94:1099–106. [PubMed]
58. Lee IM, Manson JE, Hennekens CH, Paffenbarger RS., Jr Body weight and mortality. A 27-year follow-up of middle-aged men. JAMA. 1993;270:2823–8. [PubMed]
59. Manson JE, Willett WC, Stampfer MJ, Colditz GA, Hunter DJ, Hankinson SE, et al. Body weight and mortality among women. N Engl J Med. 1995;333:677–85. [PubMed]
60. Huncharek M, Haddock S, Reid RBK. Smoking as a Risk Factor for Prostate Cancer: A Meta-Analysis of 24 Prospective Cohort Studies. Am J Public Health. 2009 [PubMed]
61. Zu K, Giovannucci E. Smoking and aggressive prostate cancer: a review of the epidemiologic evidence. Cancer Causes Control. 2009 [PubMed]
62. Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ. Cancer statistics, 2009. CA Cancer J Clin. 2009;59:225–49. [PubMed]
63. Higano CS. Side effects of androgen deprivation therapy: monitoring and minimizing toxicity. Urology. 2003;61:32–8. [PubMed]