Logo Medical Science Monitor

Call: +1.631.470.9640
Mon - Fri 10:00 am - 02:00 pm EST

Contact Us

Logo Medical Science Monitor Logo Medical Science Monitor Logo Medical Science Monitor

01 February 2011: Clinical Research  

PSA mass as a marker of prostate cancer progression after radical prostatectomy

Piotr Bryniarski ABCDEF , Andrzej Paradysz AD , Mieczyslaw Fryczkowski ABD

DOI: 10.12659/MSM.881395

Med Sci Monit 2011; 17(2): CR104-109

0 Comments

Background

Progression is diagnosed in 1 out of 4 patients after 3 years of radical treatment of prostate cancer [1]. Progression includes biochemical recurrence, local recurrence, distant metastases and death. Elevated preoperative PSA concentration, among other factors, is a strong predictor of progression after radical prostatectomy (RP) due to prostate cancer [2]. However, this marker has some limitations. Undoubtedly, a negative feature of PSA concentration is the fact that it is subject to hemodilution. Some authors claim that in overweight and obese patients PSA concentration is lower, which is, in the first place, caused by the aforementioned phenomenon. This phenomenon is supposed to consist of the dissolution of PSA mass in a large amount of plasma, finally resulting in lower PSA concentration [3,4]. Lower PSA concentration may falsely affect assessing the risk of progression after radical prostatectomy.

PSA is a protease whose physiological function is to liquefy semen. Every adult male is characterized by a quite invariable amount (mass) of this, secreted into the blood protein, depending on age, the size of prostate, the presence of cancer or other prostate diseases. However, standard PSA determination means that PSA mass is dissolved in plasma volume, which is mainly dependant on the degree of obesity.

PSA mass, as the absolute amount of PSA protein secreted into circulation, may be quite easily computed on the basis of physiological formulas for estimated body surface (EBS) and plasma volume (PV), and therefore is independent of the hemodilution phenomenon (Table 1).

In order to eliminate hemodilution, it was decided to evaluate the PSA mass in patients with prostate cancer and compare its usefulness with PSA concentration in prediction of cancer progression after RP.

Material and Methods

ETHICS:

The study was approved by the appropriate ethics committee and has therefore been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki. All patients gave their informed consent prior to inclusion in the study.

PATIENTS:

From 1994 until the end of 2007, 206 radical retropubic prostatectomies in Caucasian men suffering from prostate cancer were carried out in the Department of Urology in Zabrze, Medical University of Silesia in Katowice. The patients who underwent preoperative anti-androgen therapy, chemotherapy or radiotherapy were excluded from the study (29 patients), and 177 patients were qualified for inclusion.

All patients were divided according to:

The characteristics of the study group and subgroups are shown in Tables 2–4.

EVALUATIONS:

Two types of data were subjects of analysis. Preoperative data, such as age, height, weight, BMI, PSA concentration (immunoenzymatic Elecsys test; Cobas 6000 Hitachi), and postoperative data such as the extent of histopathologic differentiation of prostate tissue in Gleason score, extracapsular extension (pT3), the presence of lymph nodes metastases and the presence of positive surgical margins. Patients were under constant control in the Hospital Outpatient Clinic, thanks to which data concerning progression (biochemical recurrence, local recurrence, death) were also collected, and the cancer-specific survival time was determined. The total volume of plasma and the PSA mass were calculated on the basis of the formulas (Table 1) [5,6].

STATISTICS:

All constant variables’ distributions were analyzed with regard to normality by means of Kolmogorov-Smirnov and Lilliefors tests. By means of descriptive statistics the following characteristics were determined: mean or median, standard deviation and maximal and minimal values.

In order to determine differences between the groups, where variables were of categorical character, χ-square test was used. In order to determine differences between a number of independent groups, where continuous variables have distribution other than normal, Kruskal-Wallis test was used.

A multiple regression model was created to assess the correlation between BMI and PSA concentration. Covariates in the model included age, the extent of prostate cancer differentiation in Gleason score, extracapsular extension (pT3) and positive surgical margins.

In order to evaluate and compare the odds ratio of biochemical recurrence together with the elevated PSA concentration or mass, 2 models of logistic regression were used. Covariates in the models included age, BMI, the extent of prostate cancer differentiation in Gleason score, nodal metastases, extracapsular extension (pT3) and positive surgical margins. As both the concentration and the PSA mass did not show normal distribution, logarithmic (decimal) transformation of data was performed. With the assistance of receiver operating characteristic (ROC), curves from 2 models of logistic regression were compared.

Cancer-specific survival of patients was evaluated by means of Kaplan-Meier analysis, while the significance of differences between them was evaluated by means of log-rank test.

For all statistical tests, the critical level of significance was adopted at p<0.05. The statistical analysis was calculated by means of StatSoft Statistica v. 8.0.

Results

PREDICTIVE VALUE OF PSA MASS AND PSA CONCENTRATION:

Increasing values of PSA mass and PSA concentration had a statistically significant influence on the following features: extracapsular extension, presence of metastases in the surrounding lymph nodes, frequency of positive surgical margins, presence of biochemical and local recurrence and the rate of death (Table 4).

RELATIONSHIP BETWEEN PSA CONCENTRATION AND BMI:

The research demonstrated that PSA concentration and PSA mass do not differ in BMI groups (Table 3). Differences in preoperative PSA concentration between the 3 groups of patients are statistically insignificant (p=0.28). The total plasma volume is higher in obese patients (p<0.001). The model of multiple regression proved the lack of statistically significant correlation between preoperative PSA concentration and BMI (p=0.99). In patients with increasing BMI, pathologic stage T3 was more frequently observed (Table 4). After excluding from the analysis patients with stage T3, we observed a statistically significant negative correlation between BMI and PSA concentration (p=0.04) in multiple regression analysis.

CANCER-SPECIFIC SURVIVAL:

The study proved that the elevated preoperative value of PSA mass (p=0.02) is the factor that influences the cancer-specific survival of patients with prostate cancer after RP (Figure 1). Similarly higher values of PSA concentration had crucial impact on cancer-specific survival after RP (p=0.02)

ODDS RATIO OF BIOCHEMICAL RECURRENCE AFTER RP:

The odds ratio (range) of biochemical recurrence, with the PSA mass increased 10 times, is equal to 10.9 (p<0.001 for the whole model) (Table 5). The odds ratio of biochemical recurrence, with the PSA concentration increased 10 times, is equal to 8.5 (p<0.001 for the whole model).

ROC CURVES:

ROC curves for 2 models with PSA mass and PSA concentration showed an area under curve (AUC) of 0.74 and 0.69, respectively, for biochemical recurrence after RP (Figure 2). The difference (AUC) was statistically significant (p=0.04).

Discussion

There are various theories concerning the influence of obesity on the natural development, diagnostics or progression after radical treatment of prostate cancer. The 5-times increased percentage of biochemical recurrence observed in Afro-Americans, compared to Euro-Americans, is sometimes explained by a 3-times more frequent presence of overweight or obesity among the former [7]. Its influence is definitely negative, including the following:

Some authors suggest another factor, namely, lower PSA concentration in obese patients [14,15]. The consequence of the aforesaid correlation may impact on prostate cancer diagnosis and evaluation of progression after its radical treatment. Other authors deny the abovementioned connection [16]. The authors who showed that obese patients are characterized by lower PSA concentration refer to the phenomenon of hemodilution. The supporters of this theory claim that obesity is characterized by a larger amount of circulating blood, so, theoretically, the constant PSA mass circulating in the organism would be dissolved in a large amount of plasma, resulting in a lower PSA concentration. This phenomenon has already been described [3,4]. However, our research did not show that the elevated BMI has a significant influence on the preoperative PSA concentration in the whole study group. There are 2 hypotheses to explain the inconsistency:

The following research has been done on a group of patients of Caucasian race, while the aforesaid research has been frequently based on ethnically heterogeneous groups. The cause of differences between the outcomes can result from the polymorphism of the androgen receptor, which causes higher PSA concentration in Afro-Americans, as well as statistically significant greater obesity in this group [17,18]. That fact may have influenced the results of the aforementioned authors, and therefore the correlation between PSA concentration and BMI was observed. The influence of ethnic differences can, of course, be dismissed by appropriate statistical manipulations; nevertheless, it seems that research done on homogenous groups is characterized by greater statistical power.

On the other hand, in our study group obese patients were more likely to have stage T3 disease. This surely influenced increased PSA concentration in this group of patients, despite the hemodilution phenomenon. This observation was confirmed after excluding patients with stage T3. This fact may hinder the utilization of PSA mass in practice, while its usefulness may be limited to organ-confined prostate cancers. However, we emphasize that analysis of ROC curves indicate good predictive value of PSA mass in the whole study group.

In comparison of both parameters (PSA concentration and the PSA mass) it must be stressed that the probability of biochemical recurrence after RP is better predicted by PSA mass, which surely results from the fact that the PSA mass includes the element eliminating the phenomenon of hemodilution. Despite the fact that both preoperative parameters “equally well” evaluate the progression after RP, the PSA mass seems to be a little more sensitive parameter (which is indicated by the difference in the odds ratio and AUC).

References

1. Kattan MW, Wheeler TM, Scardino PT, Postoperative nomogram for disease recurrence after radical prostatectomy for prostate cancer: J Clin Oncol, 1999; 17; 1499-507, pmid: 10334537

2. Kattan MW, Eastham JA, Stapleton AMF, A preoperative nomogram for disease recurrence following radical prostatectomy for prostate cancer: J Natl Cancer Inst, 1998; 90; 766-71, pmid: 9605647

3. Bañez LL, Hamilton RJ, Partin AW, Obesity-related plasma hemodilution and PSA concentration among men with prostate cancer: JAMA, 2007; 298; 2275-80, pmid: 18029831

4. Vollmer RT, Humphrey PA, Tumor volume in prostate cancer and serum prostate-specific antigen: analysis from a kinetic viewpoint: Am J Clin Pathol, 2003; 119; 80-89, pmid: 12520701

5. Boer P, Estimated lean body mass as an index for normalization of body fluid volumes in humans: Am J Physiol, 1984; 247; 632-36

6. Du Bois D, Du Bois EF, A formula to estimate the approximate surface area if height and weight be known: Arch Intern Med, 1916; 17; 863-71

7. Spangler E, Zeigler-Johnson CM, Coomes M, 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, pmid: 17868722

8. Bray GA, Obesity: the disease: J Med Chem, 2006; 49; 4001-7, pmid: 16821759

9. Hsing AW, Reichardt JK, Stanczyk FZ, Hormones and prostate cancer: current perspectives and future directions: Prostate, 2002; 52; 213-35, pmid: 12111697

10. Kaaks R, Lukanova A, Sommersberg B, Plasma androgens, IGF-1, body size, and prostate cancer risk: a synthetic review: Prostate Cancer Prostatic Dis, 2000; 3; 157-72, pmid: 12497092

11. Gong Z, Agalliu I, Lin DW, 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, pmid: 17311344

12. Benez LL, Hamilton RJ, Vollmer RT, Can hemodilution explain the lower PSA concentrations among obese men?: J Urol, 2007; 177(Supl.4); abs.4

13. Rodriguez C, Patel AV, Calle EE, 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, pmid: 11319175

14. Werny DM, Thompson T, Saraiya M, Obesity is negatively associated with prostate-specific antigen in U.S. men, 2001–2004: Cancer Epidemiol Biomarkers Prev, 2007; 16; 70-76, pmid: 17179487

15. Baillargeon J, Pollock BH, Kristal AR, The association of body mass index and prostate-specific antigen in a population-based study: Cancer, 2005; 103; 1092-95, pmid: 15668913

16. Freedland SJ, Platz EA, Presti JC, Obesity, serum prostate specific antigen and prostate size: implications for prostate cancer detection: J Urol, 2006; 175; 500-4, pmid: 16406980

17. Saraiya M, Kottiri BJ, Leadbetter S, Total and percent free prostate-specific antigen levels among U.S. men, 2001–2002: Cancer Epidemiol Biomarkers Prev, 2005; 14; 2178-82, pmid: 16172229

18. Xu J, Meyers DA, Sterling DA, Association studies of serum prostate-specific antigen levels and the genetic polymorphisms at the androgen receptor and prostate-specific antigen genes: Cancer Epidemiol Biomarkers Prev, 2002; 11; 664-69, pmid: 12101115

In Press

Clinical Research  

Institutional and Regional Variations in Access to Clinical Trials and Next-Generation Sequencing in Turkis...

Med Sci Monit In Press; DOI: 10.12659/MSM.951027  

Clinical Research  

Low-Intensity Blood Flow-Restricted Multi-Joint Exercise Improves Muscle Function in Patients With Patellof...

Med Sci Monit In Press; DOI: 10.12659/MSM.950516  

Review article  

Musculoskeletal Ultrasound and MRI in the Evaluation of Chemotherapy-Induced Peripheral Neuropathy: A Review

Med Sci Monit In Press; DOI: 10.12659/MSM.951283  

Clinical Research  

Sensory Processing, Dissociation, and Affective Symptoms in Misophonia: A Cross-Sectional Study of 35 Adults

Med Sci Monit In Press; DOI: 10.12659/MSM.950938  

Most Viewed Current Articles

17 Jan 2024 : Review article   10,187,196

Vaccination Guidelines for Pregnant Women: Addressing COVID-19 and the Omicron Variant

DOI :10.12659/MSM.942799

Med Sci Monit 2024; 30:e942799

0:00

13 Nov 2021 : Clinical Research   3,708,487

Acceptance of COVID-19 Vaccination and Its Associated Factors Among Cancer Patients Attending the Oncology ...

DOI :10.12659/MSM.932788

Med Sci Monit 2021; 27:e932788

0:00

14 Dec 2022 : Clinical Research   2,341,643

Prevalence and Variability of Allergen-Specific Immunoglobulin E in Patients with Elevated Tryptase Levels

DOI :10.12659/MSM.937990

Med Sci Monit 2022; 28:e937990

0:00

16 May 2023 : Clinical Research   706,524

Electrophysiological Testing for an Auditory Processing Disorder and Reading Performance in 54 School Stude...

DOI :10.12659/MSM.940387

Med Sci Monit 2023; 29:e940387

0:00

Your Privacy

We use cookies to ensure the functionality of our website, to personalize content and advertising, to provide social media features, and to analyze our traffic. If you allow us to do so, we also inform our social media, advertising and analysis partners about your use of our website, You can decise for yourself which categories you you want to deny or allow. Please note that based on your settings not all functionalities of the site are available. View our privacy policy.

Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750