INTRODUCTION
Prostate cancer (PCa) is a major cause of death and the second most frequently diagnosed malignancy among men in the world, accounting for about 15% of total cancer diagnoses.
1 In South Korea, PCa incidence has increased steadily, while its mortality rate has declined slowly, due to extension of life expectancy of Korean, trend of western dietary style, and increased PSA screening.
1
To date, the proven risk factors for PCa are age, race, family history, and genetic factors. The rapid economic growth of developing countries and the widespread western diet have changed the pattern of disease in Korean over the past decade. The increase in obesity and metabolic syndrome in Korean population is a typical change. It was reported that obesity is strongly associated with the development of advanced PCa in a recent meta-analysis, indicating that acquired risk factors related to life style are associated with aggressiveness and progression of PCa. In the study of United States, Gleason score 7 or more PCa had positive correlations with body mass index (BMI), waist circumference (WC), body fat mass and fat-free mass.
2 In addition, in large European cohort study, abdominal fat had been shown to increase the risk of advanced PCa.
2 A prospective cohort study in Australia revealed that weight, BMI and weight gain in adulthood were associated with the development of high risk PCa, but not with the all PCa risk.
3 In addition, recent some studies on Asian populations have shown that PSA is age-dependent, increasing gradually with age, but negatively correlated with BMI. It is usually thought to be due to hemodilution by increasing body fluid volume.
4
In addition to obesity, other components of metabolic syndrome are also known to be associated with the risk of PCa. However, the relationship between lifestyle-related risk factors, such as dyslipidemia and diabetes, and the development and progression of PCa remains unclear and has not been concluded. Most of these studies had few cases and short follow-up periods.
5,6
These factors influence the reliability of PSA and raise the probability of false positives in obese patients, raising questions about the usefulness of PSA screening. It is necessary to study obesity and other confounding factors for PSA level at this time as Koreans become aged and the obesity population increases. Therefore, we studied the relationships between obesity indicators (weight, height, BMI, and WC), fasting blood sugar (FBS), lipid profiles, estimated glomerular filtration rate (GFR), and PSA in Korean men undergoing prostate health check-up including routine physical screening, transrectal ultrasonography, and digital rectal examination (DRE). The aim of this study was to determine whether obesity indices and confounding factors have effects on PSA.
DISCUSSION
The incidence of PCa has increased not only in Korea but also globally, which is related to the aging of the population. Diabetes, obesity and dyslipidemia are some of the adult diseases caused by the aging of the population. At present, It is unclear that what role they have on the development of PCa or PSA levels, and many scholars have a lot of questions about them.
This study showed that PSA level was negatively correlated with various indicators related to obesity after correction for the commonly known compounding factors age and prostate size. Since the 2000s, in many epidemiological studies, obesity has been suspected to be associated with the risk of various types of cancer as well as PCa.
8 In several meta-analyses, obesity has been found to be associated with the risk of PCa. The relative risks reported in these studies was not constant, but increased with increasing BMI, from 1.01 (95% confidence interval [CI], 1.00-1.02) per 1 kg/m
2 increment in BMI to 1.05 (95% CI, 1.01 −1.08).
9 However, the results of each of the studies in the meta-analysis show variable results. In some studies, PCa was not associated with obesity.
10 In few studies, obesity was considered a risk factor for PCa,
11 and in others, it was a protective factor.
12
One interesting point is that the results of the study differed according to geographical locations. In North American, obesity was not related to the risk of PCa, and on the other hand, in European and Australian studies, obesity generally increased the risk of PCa.
8 It is suspected that these regional differences are often due to the different national PSA screening rates. Unlike the United States, European countries tend not to routinely perform PSA screening.
As shown in our study, obesity tends to lower PSA levels. Furthermore, in our study, weight, BMI and WC were negatively associated with serum PSA level independent of age and TPV. Although the relationship between PSA and PCa risk is currently unclear, many previous studies have shown negative correlations between PSA and various obesity-related indicators. In large studies in the United States, BMI was negatively correlated with PSA level after adjusting for age and race.
13 In addition, in studies conducted in Asia, BMI reported negative correlations with PSA level. Unlike previous studies, we analyzed many confounding factors that may affect PSA levels including TPV, FBS, and dyslipidemia. Furthermore, obesity-related indicators included 3 different indicators such as body weight, BMI, and WC.
The effect of obesity on PSA is often explained by mechanism of hemodilution. It means that obesity results in a decrease in the PSA level in the blood as plasma volume increases in the human body. This theory suggested that the concentration of PSA is due to the function of plasma volume as well as the role of PSA poured into the circulation.
14 There are other theories about PSA levels. It is so-called “steroid hormone metabolism hypothesis” that PSA levels are regulated by the concentration of steroid hormones.
14 According to this theory, obesity affects PSA levels through various pathways and can affect the levels of human hormones and growth factors such as estrogen, testosterone, leptin, insulin, and insulin-like growth factor-1 influencing prostate growth.
15 In obese men, the amount of adipose tissue is high, which can increase the activity of aromatase by raising cyclic estrogen levels.
15
Several measures of obesity (BMI, WC, weight, and body fat percentage) are usually correlated, but represent different forms of obesity. BMI is the most common measure of obesity, and WC is usually a measure of abdominal obesity. The staging reversal of PCa in obese people is explained by several hypotheses. It is somewhat more difficult to palpate the prostate gland in obese people clinically. In obese people, the blood PSA levels are lower for a variety of reasons and until now, there is lesser chance of having a prostate biopsy.
16 In addition, it has been reported that obesity may promote PCa growth. In preclinical studies conducted to date, it is suspected that androgens promote PCa cell growth through the pathway of lipogenic gene expression, which causes lipid accumulation and regulates androgen signaling and lipogenesis.
17 Castration-resistant PCa appears to produce androgen
de novo from cholesterol and progesterone in the cancer cell, stimulating androgen receptors and growing PCa cells regardless of the concentration of circulating androgens.
18 In experimental studies, fatty acid synthase polymorphisms are associated with the carcinogenesis of PCa, and its high expression appears to be related to the development of high-risk PCa and high mortality in obese patients.
19 Many articles mentioned the relationship of PCa, obesity, and various other components of the metabolic syndrome. Recently, a unique aggressive subtype of PCa, called
TMPRSS2:ERG fusion has been introduced in relation to the effect of obesity on PCa prognosis.
20
Whether diabetes itself has a protective effect against PCa or reduces PSA levels remains unclear issues. In our study, PSA level was not associated with FBS. However, in many studies, diabetes and the risk of PCa has been reported to be inversely correlated. A common hypothesis is that hyperinsulinemia lowers testosterone levels, which may lower the risk of PCa.
21 Unfortunately, the results of several studies were not consistent, and usually reported high prevalence of high-risk PCa in diabetic men.
22 Although the mechanism is somewhat lacking in understanding, the theory that insufficient testosterone is involved in the proliferation cycle of the prostate, induces abnormal epithelial differentiation, and changes cancer cells into more aggressive cells is considered worthwhile.
23
Some previous prospective studies have addressed the association between total cholesterol and high-risk PCa.
24 However, total cholesterol and PSA were not related in our study. Taken together, previous results suggested that total cholesterol have no significant effect on PSA levels. In recent large-scale study, triglycerides appeared to have an effect on the aggressiveness and severity of PCa.
25 In addition, in the
in vitro studies, triglyceride-rich remnant lipoproteins have been promoted carcinogenesis according to up-regulating cellular signaling, such as MEK/ERK and Akt pathways, involved in modulating cell proliferation and growth, apoptosis, cell cycle arrest, and lipid biosynthesis.
26 One large study in China reported that triglycerides were inversely correlated to PSA levels.
27 However, this study did not find a relationship between triglyceride and PSA, and it seems that LDL cholesterol is weakly related to PSA. Therefore, further studies for relationship between lipid and PSA should be studied in patients with PCa because most of the current research has been done from healthy population.
This is a relatively large study to investigate the relationship between obesity, glucose and lipid and PSA. Our study population consisted of relatively healthy middle-aged men and included only those participants who did not have a history of diabetes and dyslipidemia prior to participation. In addition, our study was based on prediagnostic serologically measured values consistently in a single laboratory. This can help prevent reverse causation between causes and effects. However, our study was based solely on single baseline laboratory values and could not reflect sequential effects of metabolic components to PSA level over long periods of time. If repeated measurements are made throughout the life cycle, these limitations can be overcome in the future. Our study could not investigate lifestyle-related factors such as smoking history or dietary habit. However, according to the literature known to date, the aforementioned lifestyle-related factors are not considered to be associated with PSA levels.
In conclusion, this study found that several indices associated with obesity had an effect on PSA levels in Korean middle-aged men aged 38 to 60 years who underwent routine health examination, and these factors were independent of age and TPV. In the future, it may be necessary to provide reference values considering the effects of obesity indices for middle-aged men who perform PSA screening for the first time in life, unlike men aged 60 years or older.