|Year : 2015 | Volume
| Issue : 5 | Page : 839-844
The association between metabolic syndrome and advanced prostate cancer in Chinese patients receiving radical prostatectomy
Gui-Ming Zhang1, Yao Zhu2, Da-Hai Dong3, Cheng-Tao Han1, Cheng-Yuan Gu2, Wei-Jie Gu1, Xiao-Jian Qin2, Li-Jiang Sun3, Ding-Wei Ye1
1 Department of Urology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
2 Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, China
3 Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, China
|Date of Submission||20-Aug-2014|
|Date of Decision||27-Sep-2014|
|Date of Acceptance||25-Nov-2014|
|Date of Web Publication||16-Jan-2015|
Department of Urology, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai
Department of Urology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong
Source of Support: None, Conflict of Interest: None
The global incidence of metabolic syndrome (MetS) is dramatically increasing. Considerable interest has been devoted to the relationship between MetS and prostate cancer (PCa) risk. However, few studies have examined the association between MetS and PCa progression. This retrospective study consisted of 1016 patients with PCa who received radical prostatectomy. The association between MetS and pathological features was evaluated using logistic regression analysis. Compared with patients without MetS, those with MetS indicated an increased risk of prostatectomy Gleason score (GS) ≥8 (odds ratio [OR] =1.670, 95% confidence interval (CI) 1.096-2.545, P= 0.017), and a 1.5-fold increased risk of pT3-4 disease (OR = 1.583, 95% CI 1.106-2.266, P= 0.012). The presence of MetS was an independent predictor of lymph node involvement (OR = 1.751, 95% CI 1.038-2.955, P= 0.036). Furthermore, as the number of MetS components accumulated, the risk of a GS ≥ 8 increased. The present study indicates a significant association between MetS and advanced PCa. The results need to be evaluated in large-scale prospective cohorts.
Keywords: Gleason score; metabolic syndrome; pathology; prostate cancer
|How to cite this article:|
Zhang GM, Zhu Y, Dong DH, Han CT, Gu CY, Gu WJ, Qin XJ, Sun LJ, Ye DW. The association between metabolic syndrome and advanced prostate cancer in Chinese patients receiving radical prostatectomy. Asian J Androl 2015;17:839-44
|How to cite this URL:|
Zhang GM, Zhu Y, Dong DH, Han CT, Gu CY, Gu WJ, Qin XJ, Sun LJ, Ye DW. The association between metabolic syndrome and advanced prostate cancer in Chinese patients receiving radical prostatectomy. Asian J Androl [serial online] 2015 [cited 2020 Feb 29];17:839-44. Available from: http://www.ajandrology.com/text.asp?2015/17/5/839/148138 - DOI: 10.4103/1008-682X.148138
Gui.Ming Zhang, Yao Zhu.
These authors contributed equally to this work.
| Introduction|| |
Prostate cancer (PCa) is the second most common malignancy among men and ranks as the second leading cause of cancer-related mortality in developed countries.  Epidemiological studies report that the incidence of PCa in western countries is 10-15 times higher than that of Asian countries.  However, with a change in lifestyle, PCa has become the sixth most common cancer among Chinese men, especially in urban areas.  Therefore, although the underlying mechanisms responsible for PCa carcinogenesis are not fully understood, growing evidence suggests that it can be partly explained by western lifestyle factors, for example, excess calorie intake and sedentary living habits. ,
Over the past few decades, metabolic syndrome (MetS) has become a more prevalent global health issue,  and is thought to influence PCa etiology. Individual components of MetS, such as obesity, hypertension, diabetes, and dyslipidemia, have each been linked to increased PCa risk. ,,, A large-scale research project in Scandinavia also found a positive association between MetS and PCa risk.  However, only a few studies have investigated the relationship between MetS and pathological features of PCa, and these studies have drawn conflicting conclusions. For instance, Kheterpal et al.  reported that MetS patients had a higher Gleason score (GS) and higher pathological stage. Another research group also observed a significant association between MetS and higher PCa grade.  Conversely, Jeon et al.  found that the presence of MetS was correlated with decreased risk of high-grade PCa in a Korean population. Given the inconsistency of existing information, as well as tumor heterogeneity in patients of different ethnic backgrounds, the present study was intended to provide additional data on the association between MetS and pathological characteristics of PCa in a Chinese population.
| Patients and Methods|| |
This retrospective study included 1597 consecutive patients with clinically localized PCa from two clinical centers: the Department of Urology at Fudan University Shanghai Cancer Center from January 2005 to June 2014, and the Department of Urology at the Affiliated Hospital of Qingdao University from January 2011 to June 2014. All patients underwent radical prostatectomy and standard pelvic lymphadenectomy. Patients who received neoadjuvant therapy were not enrolled in the study. In addition, 202 patients were excluded because of missing serum lipid profile data. Finally, clinicopathological information of the total 1016 patients, including age, height, weight, history of hypertension and diabetes, lipid profiles, preoperative prostate-specific antigen (PSA) levels, biopsy GS, clinical stage, prostatectomy GS, and pathological stage, was gathered from medical records and analyzed. The study protocol was approved by the Institutional Research Review Boards of the two clinical centers, and written informed consent was acquired from all participants.
Metabolic syndrome was defined according to the criteria recommended by the Chinese Diabetes Society,  which requires that at least three of four of the following standards are met: (1) overweight and obesity - body mass index (BMI) ≥25 kg m−2 ; (2) hypertension - systolic and diastolic blood pressure ≥ 140 and 90 mmHg, respectively, on three consecutive occasions, or a physician's diagnosis of hypertension; (3) diabetes - fasting glucose ≥ 6.1 mmol l−1 , or a physician's diagnosis; (4) hypertriglyceridemia and/or low high-density lipoprotein (HDL) level - serum triglyceride level ≥ 1.7 mmol l−1 and/or HDL-cholesterol level < 0.9 mmol l−1 .
Differences in categorical variables were compared using Chi-squared tests. Unconditional logistic regression analysis was performed to estimate odds ratios (ORs) and 95% confidence intervals (CI). Two-sided P < 0.05 were considered statistically significant. SPSS 20.0 software (IBM Corporation, Armonk, NY, USA) was used for statistical analyses.
| Results|| |
This study included 1016 patients with newly diagnosed PCa with a median age of 68 years (age range: 41-79 years). The range of preoperative PSA levels was 1.13-303.00 ng ml−1 (median: 14.82 ng ml−1 ). According to the American Joint Committee on Cancer TNM staging system (2002), there were 484, 270, and 262 patients with ≤ cT2a, cT2b, and ≥ cT2c disease, respectively. Postoperative pathological assessments determined that 644 patients had pT2 disease and 372 patients had pT3-4 disease. In addition, lymph node involvement was found in 93 patients. [Table 1] indicates the demographic and clinicopathological characteristics of the patients.
|Table 1: Demographic and clinicopathological characteristics of the 1016 PCa patients undergoing radical prostatectomy |
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Comparisons of each component of MetS with pathological PCa features are listed in [Table 2]. Diabetes was prevalent in PCa patients with prostatectomy GS ≥ 8, pT3-4 disease, or lymph node involvement. Overweight and dyslipidemia were also associated with worse pathological features of PCa. However, no significant difference in hypertension was observed between patients with different pathological features.
|Table 2: Association of individual components of MetS with pathological features of PCa |
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Next, the association between postoperative pathological features and preoperative PSA levels, biopsy GS, clinical stage, and MetS was analyzed using univariate and multivariable logistic regression models, respectively. As shown in [Table 3], after adjusting for potential confounders, MetS was associated with an increased risk of prostatectomy GS ≥ 8 (OR = 1.670, 95% CI 1.096-2.545), and with a 1.5-fold increased risk of pT3-4 disease (OR = 1.583, 95% CI 1.106-2.266). Furthermore, the presence of MetS was an independent predictor of lymph node involvement (OR = 1.751, 95% CI 1.038-2.955).
|Table 3: Logistic regression analyses of the association of MetS with pathological features in PCa patients |
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[Table 4] indicates crude and adjusted ORs and 95% CIs for pathological features according to the number of MetS components present. A biological gradient was observed between the number of MetS components and the risk of prostatectomy GS ≥ 8, and lymph node involvement, although no statistical significance existed for lymph node involvement. With respect to pathological stage, no obvious biological gradient existed despite marginal significance (P = 0.060).
|Table 4: Association between number of MetS components and pathological features of PCa patients |
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| Discussion|| |
Metabolic syndrome is characterized by a cluster of abnormal biochemical factors with a prevalence of 35%-39% among adults in the United States and nearly 20% in China. , Recent studies have proven a relationship between MetS and increased risk of cancers, including hepatocellular carcinoma, gastric cancer, pancreatic cancer, breast cancer, and colorectal cancer. ,,,, In addition, MetS and its components are likewise associated with tumor progression in some cancers. ,,,
The relationship between MetS and PCa has also been examined. Although a consensus has not been reached, most researchers have considered MetS and its individual components to be independent risk factors for PCa risk. However, studies focusing on the association between MetS and PCa progression are scarce and inconsistent. A positive association between MetS and higher GS was reported by several research groups, ,,, yet no significant relationship was found between MetS and GS in studies by Beebe-Dimmer et al.  and Han et al. Interestingly, Jeon et al.  observed that MetS was inversely associated with GS. The present study found that patients with MetS were prone to having a higher GS and lymph node involvement. In addition, a positive association of MetS was observed with ≥ pT3 disease, which is in agreement with the studies conducted by Kheterpal et al.  However, this positive association was not found in two other studies. , These discrepancies might be caused by different ethnic backgrounds and MetS definitions. Compared with people in developed countries, the Chinese population has different pharmaceutical interventions and lifestyle modifications. Furthermore, the range of PSA levels was relatively large, and 37.3% of patients had a PSA level over 20 ng ml−1 in our setting. Although the association of pathological characteristics with MetS has been adjusted and stratified by PSA levels, potential bias may exist. On the other hand, the criteria adopted by these research groups are not the same. For example, Han et al. used National Cholesterol Education Program/Adult Treatment Panel III criterion, which assesses obese status by abdominal circumference;  Yet Kheterpal et al.  employed the criterion defined by the International Diabetes Federation, which is based on BMI ≥ 30 kg m−2 . Clearly, further research using large-scale populations is needed.
The relationship between individual component of MetS and worse pathological features of PCa has been reported: patients with higher tumor grade and higher disease stage were more obese and more dyslipidemic, and had elevated visceral adipose tissue accumulation and fasting plasma insulin levels. , However, MetS is a unification of multiple metabolic components; hence, analyzing MetS as one single variable may be inadequate, and may result in neglecting independent effects and interactions of each individual component. The accumulating impact of MetS components on PCa risk and PCa mortality has also been evaluated. An increasing number of MetS components was correlated with a higher probability of PCa, as well as higher PCa mortality. , The present study, for the first time, assessed the accumulating effect of each single component of MetS and their association with pathological features. A biological gradient for the relationship of MetS with prostatectomy GS and lymph node involvement was observed: as the number of MetS component increased, the risk of GS ≥ 8 and lymph node involvement was elevated, and coexistence was more likely, although there was no significance with lymph node involvement.
The exact method by which MetS influences PCa progression remains uncertain. There are several plausible explanations: based on insulin resistance, MetS denotes dysregulation of the insulin-like growth factor (IGF) signaling pathway, as well as a pro-inflammatory condition and abnormal adipokines levels. IGF-1 has important proliferation stimulation and anti-apoptosis effects on carcinogenesis.  It has also been found that IGF-1 can stimulate tumor angiogenesis.  Some cytokines associated with a pro-inflammatory state, such as interleukin (IL)-6, IL-8, and cyclooxygenase-2, have all been demonstrated to promote PCa initiation and progression. , Furthermore, altered levels of circulating adipokines are also associated with PCa risk and PCa invasion. , Thus, further studies are warranted to reveal the complex molecular mechanisms by which MetS is linked to PCa.
The present study also conveys other clinical implications. Since MetS is considered a possible etiology of PCa, and it might contribute to PCa progression, better control of MetS may prevent PCa development. In addition, accurate preoperative staging is important for the management selection of PCa. Nevertheless, a large portion of tumors are over- or under-staged.  Given the association between MetS and pathological features, this information might be helpful to accurately predict stage in MetS patients.
The present study has limitations that merit mentioning. First and foremost, the data were analyzed retrospectively, which carries an intrinsic selection bias. The retrospective design only allowed us to evaluate the temporal association between MetS and PCa progression, thereby causal inferences are limited. Second, some important information, such as family history, diet, and physical activity, and medication usage, including aspirin, anti-diabetes drugs, and statins, was not gathered. These potential confounders might limit the statistical power of this study. In addition, the evaluation of overweight was carried out only by BMI in our study, whereas evidence suggests that waist circumference is more closely related to metabolic changes in comparison with BMI. , Third, information pertaining to the duration of MetS, which may theoretically influence the natural development of PCa, was also lacking. Finally, all the data were based on Chinese men and thus the results cannot be generalized to other ethnic populations. Further prospective research conducted using large patient groups with a long follow-up is needed.
| Conclusions|| |
In summary, the presence of MetS was associated with an increased risk of higher GS, pT3-4 diseases and lymph node involvement. Furthermore, as the number of MetS components increased, the risk of GS ≥ 8 was elevated, and analogous trends existed for lymph node involvement, despite the lack of statistical significance. Further studies are warranted to assess the possible implication of MetS prevention on PCa development.
| Author Contributions|| |
GMZ and YZ designed the study, collected, analyzed and interpreted the clinical data, and wrote the manuscript. DHD, CTH and CYG collected part of the patients' clinical data. WJG and XJQ analyzed part of the data. LJS and DWY supervised the project and revised the manuscript. All authors vouch for the respective data and analysis, approved the final version and agreed to publish the manuscript.
| Competing Interests|| |
The authors declare that they have no conflict of interest.
| Acknowledgments|| |
This study was supported in part by grant from the National Natural Science Foundation of China (No. 81272837).
| References|| |
Jemal A, Bray F, Center MM, Ferlay J, Ward E, et al
. Global cancer statistics. CA Cancer J Clin
2011; 61: 69-90.
Hsing AW, Devesa SS. Trends and patterns of prostate cancer: what do they suggest? Epidemiol Rev
2001; 23: 3-13.
He J, Chen WQ. Chinese Cancer Registry Annual Report (2012). Beijing: Military Medical Science Press; 2012. p. 29.
Meyer F, Bairati I, Shadmani R, Fradet Y, Moore L. Dietary fat and prostate cancer survival. Cancer Causes Control
1999; 10: 245-51.
Pelser C, Mondul AM, Hollenbeck AR, Park Y. Dietary fat, fatty acids, and risk of prostate cancer in the NIH-AARP diet and health study. Cancer Epidemiol Biomarkers Prev
2013; 22: 697-707.
Malik S, Wong ND, Franklin SS, Kamath TV, L'Italien GJ, et al.
Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adults. Circulation
2004; 110: 1245-50.
Hammarsten J, Högstedt B. Hyperinsulinaemia: a prospective risk factor for lethal clinical prostate cancer. Eur J Cancer
2005; 41: 2887-95.
Fitzpatrick AL, Daling JR, Furberg CD, Kronmal RA, Weissfeld JL. Hypertension, heart rate, use of antihypertensives, and incident prostate cancer. Ann Epidemiol
2001; 11: 534-42.
Giovannucci E, Rimm EB, Stampfer MJ, Colditz GA, Willett WC. Height, body weight, and risk of prostate cancer. Cancer Epidemiol Biomarkers Prev
1997; 6: 557-63.
Hayashi N, Matsushima M, Yamamoto T, Sasaki H, Takahashi H, et al
. The impact of hypertriglyceridemia on prostate cancer development in patients aged≥60 years. BJU Int
2012; 109: 515-9.
Lund Håheim L, Wisløff TF, Holme I, Nafstad P. Metabolic syndrome predicts prostate cancer in a cohort of middle-aged Norwegian men followed for 27 years. Am J Epidemiol
2006; 164: 769-74.
Kheterpal E, Sammon JD, Diaz M, Bhandari A, Trinh QD, et al.
Effect of metabolic syndrome on pathologic features of prostate cancer. Urol Oncol
2013; 31: 1054-9.
Ozbek E, Otunctemur A, Dursun M, Sahin S, Besiroglu H, et al.
The metabolic syndrome is associated with more aggressive prostate cancer. Asian Pac J Cancer Prev
2014; 15: 4029-32.
Jeon KP, Jeong TY, Lee SY, Hwang SW, Shin JH, et al
. Prostate cancer in patients with metabolic syndrome is associated with low grade Gleason score when diagnosed on biopsy. Korean J Urol
2012; 53: 593-7.
Chinese Diabetes Association. [The Chinese medical association recommendation about metabolic syndrome]. Chin J Diabetes Mellitus
2004; 12: 156-61.
Ford ES, Li C, Zhao G. Prevalence and correlates of metabolic syndrome based on a harmonious definition among adults in the US. J Diabetes
2010; 2: 180-93.
Thomas GN, Ho SY, Janus ED, Lam KS, Hedley AJ, et al.
The US National Cholesterol Education Programme Adult Treatment Panel III (NCEP ATP III) prevalence of the metabolic syndrome in a Chinese population. Diabetes Res Clin Pract
2005; 67: 251-7.
Turati F, Talamini R, Pelucchi C, Polesel J, Franceschi S, et al.
Metabolic syndrome and hepatocellular carcinoma risk. Br J Cancer
2013; 108: 222-8.
Lindkvist B, Almquist M, Bjørge T, Stocks T, Borena W, et al.
Prospective cohort study of metabolic risk factors and gastric adenocarcinoma risk in the Metabolic Syndrome and Cancer Project (Me-Can). Cancer Causes Control
2013; 24: 107-16.
Wu Q, Chen G, Wu WM, Zhou L, You L, et al.
Metabolic syndrome components and risk factors for pancreatic adenocarcinoma: a case-control study in China. Digestion
2012; 86: 294-301.
Esposito K, Chiodini P, Capuano A, Bellastella G, Maiorino MI, et al.
Metabolic syndrome and postmenopausal breast cancer: systematic review and meta-analysis. Menopause
2013; 20: 1301-9.
Forootan M, Tabatabaeefar M, Yahyaei M, Maghsoodi N. Metabolic syndrome and colorectal cancer: a cross-sectional survey. Asian Pac J Cancer Prev
2012; 13: 4999-5002.
Zhang GM, Zhu Y, Luo L, Zhang HL, Gu CY, et al.
Prevalence of dyslipidaemia in patients with renal cell carcinoma: a case-control study in China. BJU Int
2014; 113: E75-81.
Duggan C, Onstad L, Hardikar S, Blount PL, Reid BJ, et al
. Association between markers of obesity and progression from Barrett's esophagus to esophageal adenocarcinoma. Clin Gastroenterol Hepatol
2013; 11: 934-43.
Tal S, Melzer E, Chsherbakov T, Malnick S. Metabolic syndrome is associated with increased prevalence of advanced colorectal polyps. J Nutr Health Aging
2014; 18: 22-5.
Park J, Morley TS, Kim M, Clegg DJ, Scherer PE. Obesity and cancer - mechanisms underlying tumour progression and recurrence. Nat Rev Endocrinol
2014; 10: 455-65.
Castillejos-Molina R, Rodríguez-Covarrubias F, Sotomayor M, Gómez-Alvarado MO, Villalobos-Gollás M, et al.
Impact of metabolic syndrome on biochemical recurrence of prostate cancer after radical prostatectomy. Urol Int
2011; 87: 270-5.
De Nunzio C, Freedland SJ, Miano R, Trucchi A, Cantiani A, et al.
Metabolic syndrome is associated with high grade Gleason score when prostate cancer is diagnosed on biopsy. Prostate
2011; 71: 1492-8.
Morote J, Ropero J, Planas J, Bastarós JM, Delgado G, et al.
Metabolic syndrome increases the risk of aggressive prostate cancer detection. BJU Int
2013; 111: 1031-6.
Beebe-Dimmer JL, Nock NL, Neslund-Dudas C, Rundle A, Bock CH, et al.
Racial differences in risk of prostate cancer associated with metabolic syndrome. Urology
2009; 74: 185-90.
Han BK, Choi WS, Yu JH, Han JH, Chang IH, et al
. The characteristics of prostate cancer with metabolic syndrome in Korean men. Korean J Urol
2007; 48: 585.
Hammarsten J, Högstedt B. Clinical, haemodynamic, anthropometric, metabolic and insulin profile of men with high-stage and high-grade clinical prostate cancer. Blood Press
2004; 13: 47-55.
Qu YY, Dai B, Kong YY, Chang K, Ye DW, et al.
Influence of obesity on localized prostate cancer patients treated with radical prostatectomy. Asian J Androl
2013; 15: 747-52.
Bhindi B, Locke J, Alibhai SM, Kulkarni GS, Margel DS, et al.
Dissecting the association between metabolic syndrome and prostate cancer risk: analysis of a large clinical cohort. Eur Urol
2015; 67: 64-70.
Ibrahim YH, Yee D. Insulin-like growth factor-I and cancer risk. Growth Horm IGF Res
2004; 14: 261-9.
Hoeben A, Landuyt B, Highley MS, Wildiers H, Van Oosterom AT, et al
. Vascular endothelial growth factor and angiogenesis. Pharmacol Rev
2004; 56: 549-80.
Pothiwala P, Jain SK, Yaturu S. Metabolic syndrome and cancer. Metab Syndr Relat Disord
2009; 7: 279-88.
Nguyen DP, Li J, Tewari AK. Inflammation and prostate cancer: the role of interleukin 6 (IL-6). BJU Int
2014; 113: 986-92.
Gu CY, Li QX, Zhu Y, Wang MY, Shi TY, et al.
Genetic variations of the ADIPOQgene and risk of prostate cancer in Chinese Han men. Asian J Androl
2014; 16: 878-83.
Zhang Q, Sun LJ, Qi J, Yang ZG, Huang T. Influence of adipocytokines and periprostatic adiposity measurement parameters on prostate cancer aggressiveness. Asian Pac J Cancer Prev
2014; 15: 1879-83.
Ward JF, Slezak JM, Blute ML, Bergstralh EJ, Zincke H. Radical prostatectomy for clinically advanced (cT3) prostate cancer since the advent of prostate-specific antigen testing: 15-year outcome. BJU Int
2005; 95: 751-6.
Liu Y, Tong G, Tong W, Lu L, Qin X. Can body mass index, waist circumference, waist-hip ratio and waist-height ratio predict the presence of multiple metabolic risk factors in Chinese subjects? BMC Public Health
2011; 11: 35.
Riondino S, Roselli M, Palmirotta R, Della-Morte D, Ferroni P, et al
. Obesity and colorectal cancer: role of adipokines in tumor initiation and progression. World J Gastroenterol
2014; 20: 5177-90.
[Table 1], [Table 2], [Table 3], [Table 4]