help button home button Endocrine Society JCEM ENDO 08
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS

This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Janssen, J. A. M. J. L.
Right arrow Articles by Schröder, F. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Janssen, J. A. M. J. L.
Right arrow Articles by Schröder, F. H.
The Journal of Clinical Endocrinology & Metabolism Vol. 89, No. 9 4391-4396
Copyright © 2004 by The Endocrine Society

Circulating Free Insulin-Like Growth Factor (IGF)-I , Total IGF-I, and IGF Binding Protein-3 Levels Do Not Predict the Future Risk to Develop Prostate Cancer: Results of a Case-Control Study Involving 201 Patients within a Population-Based Screening with a 4-Year Interval

J. A. M. J. L. Janssen, M. F. Wildhagen, K. Ito, B. G. Blijenberg, R. H. N. van Schaik, M. J. Roobol, H. A. P. Pols, S. W. J. Lamberts and F. H. Schröder

Departments of Internal Medicine (J.A.M.J.L.J., H.A.P.P., S.W.J.L.), Urology (M.F.W., K.I., M.J.R., F.H.S.), Clinical Chemistry (B.G.B., R.H.N.v.S.), Erasmus MC, 3015 GD Rotterdam, The Netherlands; and Department of Urology (K.I.), Gunma University Graduate School of Medicine, Showa-machi, Maebashi, Gunma, 371-8511, Japan

Address all correspondence and requests for reprints to: J. A. M. J. L. Janssen, M.D., Ph.D., Department of Internal Medicine, Room D-436, Erasmus MC, Dr Molewaterplein 40, 3015 GD Rotterdam, The Netherlands. E-mail: j.a.m.j.l.janssen{at}erasmusmc.nl.


    Abstract
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
Recent studies have reported that serum IGF-I levels in the highest quartile of the normal range and IGF binding protein-3 (IGFBP-3) in the lowest quartile of the normal range are associated with an increased risk of future prostate cancer and/or presence of prostate cancer. It has also been suggested that the measurement of circulating total IGF-I concentrations might be a useful tool for the early detection of prostate cancer in men with moderately increased prostate-specific antigen (PSA) levels.

To determine whether circulating free IGF-I, total IGF-I, and IGFBP-3 levels can predict future prostate cancer risk, we prospectively studied prostate cancer characteristics in a cohort of men during two rounds (mean interval, 4 yr) of a population-based screening study for prostate cancer. Two hundred one prostate cancer cases were detected at the second-round screening (aged 55–70 yr), and all these subjects were enrolled in the case group for the present study. Prostate cancer had been confirmed by biopsy in all cases. These 201 subjects were matched with the 201 nonprostate cancer cases by age, serum PSA range at the first-round screening (PSA < 2 ng/ml, n = 67; PSA = 2–3 ng/ml, n = 67; and PSA = 3–4 ng/ml, n = 67), and residence area.

At baseline, total IGF-I, free IGF-I, and IGFBP-3 levels and prostate volume of cases with prostate cancer were not different from those of healthy controls. PSA velocity was significantly different between cases and controls (P < 0.001).

Stepwise forward logistic regression analysis showed that only PSA levels at baseline and PSA at round 2 after 4 yr are good predictors of prostate cancer, whereas total IGF-I, free IGF-I, and IGFBP-3 did not predict the development of prostate cancer.

Only one of the 201 subjects with prostate cancer had metastases. Within the subjects with prostate cancer, there were no differences of IGF-I parameters with different tumor node metastasis categories and/or Gleason scores.

Our study suggests that the measurement of serum IGF-I and/or IGFBP-3 concentrations in addition to PSA does not improve the identification of men at high risk to develop early stages of prostate cancer. In addition, our results indicate that the endocrine IGF-I system is not directly involved in the growth of the early stages of prostate cancer.


    Introduction
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
PROSTATE CANCER IS a major cause of death due to malignancy in men over 50 yr of age. Recent studies link IGF-I to prostate cancer risk. Most, but not all, epidemiological studies have reported that high circulating levels of IGF-I are associated with an increased risk of future prostate cancer or with the presence of prostate cancer (1, 2, 3, 4, 5, 6, 7, 8, 9). There are at present no data to determine whether these findings were the cause or an effect. It has also been suggested that the measurement of circulating total IGF-I levels might be a useful tool for early detection of prostate cancer in men with moderately increased prostate-specific antigen (PSA) levels (10). However, IGF-I does not seem to predict progression and prognosis in prostate cancer patients (11, 12).

IGF-I is produced in large amounts by the liver and secreted into circulation (13). Hepatic production of IGF-I is predominantly dependent on GH secretion. Circulating total IGF-I levels are regulated by nutritional and genetic factors as well (14, 15). IGF-I is involved in the regulation of cell proliferation and differentiation but suppresses programed cell death as well (16). In vitro prostate cancer cells are responsive to the mitogenic effects of IGF-I (17).

Most circulating IGF-I (99%) is bound to IGF binding proteins (IGFBPs). Quantitatively, the most important IGFBP is IGFBP-3 (18). IGFBP-3 regulates IGF-I bioactivity and also independently modulates cell growth and survival. Changes in circulating IGFBP-3 levels have also been linked to prostate cancer. Although circulating IGFBP-3 levels were inversely associated with prostate cancer risk in the study of Chan et al. (1), a recent metaanalysis found a positive association between IGFBP-3 and prostate cancer risk (9).

PSA measurement is an important tool for identifying men at risk for prostate cancer. PSA correlates with the prostate volume in benign prostate hyperplasia and cancer and has been demonstrated to detect prostate cancer at an early stage (19, 20). PSA is an IGFBP-3 protease as well. Cleavage of IGFBP-3 by PSA causes a 10- to 100-fold decrease in the affinity of IGFBP-3 fragments to IGF-I (21). Elevation in serum PSA concentrations is correlated with decreased intact serum IGFBP-3 (22). These data together suggest that IGFBP-3 may also play a role in prostate cancer.

To determine whether circulating free IGF-I, total IGF-I, and IGFBP-3 levels indeed predict future prostate cancer risk, we prospectively studied prostate cancer characteristics in a cohort of men during two rounds of a population-based screening study for prostate cancer with a mean interval of 4 yr. We also studied whether PSA is associated with these parameters of the circulating IGF-I system.


    Subjects and Methods
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The European Randomized Study of Screening for Prostate Cancer (ERSPC) is a multicenter, randomized, population-based trial that investigates the impact of systematic PSA screening for prostate cancer on prostate cancer mortality and quality of life. The screening procedure and the recruitment of participants were previously described (23, 24). In the first round, prostate cancer had been diagnosed in 1,014 men of the 19,970 initially randomized for screening, whereas in the second round 4 yr later, the incidence of biopsy-proven prostate cancer was 475 of the 10,740 participants screened.

For the present study, a cohort of 4491 men aged 55–75 yr, all of whom had been randomly assigned to the screening group in the Rotterdam section of ERSPC, were studied (23). None of the participants had a previous diagnosis of prostate cancer. During the study period, screening was discontinued in all participants who reached the age of 75 yr. Men who did not respond to the invitation for screening were excluded from further evaluation in this report. The study was approved by a government commission supervising the compliance with the Dutch law on population screening, and written informed consent was obtained from every participant before randomization.

Screening protocols

First round of screening. The study cohort for the present study was recruited from the 19,970 men who were initially randomized for screening in the Rotterdam section of ERSPC. The first round of screening took place between June 1994 and March 1996. The 4133 men who accepted the invitation to the first screen underwent PSA measurement, digital rectal examination (DRE), and transrectal ultrasound investigation (TRUS). Blood samples were drawn in the nonfasting state. Biopsies were recommended for men whose serum PSA level was 4 ng/ml or greater, or if DRE and/or TRUS result was abnormal. Men who were recommended for biopsy but who either refused a biopsy or could not undergo a biopsy for medical reasons (e.g. because they were receiving anticoagulant therapy) were excluded from further evaluation.

Second round of screening. The second round of screening of the same population took place between June 1998 and December 2000. At this time, 2385 participants who had been screened 4 yr earlier were eligible and took part. By the time the second round of screening began, the screening protocol had been changed (25). In brief, because of low positive predictive value and sensitivity of DRE and TRUS, biopsies were now recommended to all participants with a serum PSA level of 3 ng/ml or higher, regardless of the outcome of DRE or TRUS (24).

To identify individuals with interval prostate cancers, a database from the local Rotterdam Comprehensive Cancer Registry was checked annually. The number of interval cancers (i.e. prostate cancers detected in a screened population outside regular screening) gives an indication of the efficacy of the screening protocol at baseline. In the cohort studied, prostate cancer was diagnosed outside the regular screening in only 18 men during the 4-yr interval and was found coincidentally in most cases (26).

Selection for the present case-control study. Inclusion criteria for the present study were: 1) men aged between 55 and 70 yr at first-round screening; 2) measurement of PSA level at first round; and 3) no prostate cancer at first-round screening.

Two hundred one prostate cancer cases were detected at the second-round screening, and all these subjects were enrolled in the case group for the present study. In all cases, prostate cancer had been confirmed by biopsy. Routine histopathological examination included the determination of stage and Gleason score (27, 28). PSA density (PSAD) and PSA density of the transition zone (PSATZD) were calculated for each subject (29).

Two hundred one participants without prostate cancer were selected from the 2385 men at the second-round screening. These 201 subjects were matched with the 201 prostate cancer cases by age (per 1-yr group), serum PSA range at the first-round screening (PSA < 2 ng/ml, n = 67; PSA = 2–3 ng/ml, n = 67; PSA = 3–4 ng/ml, n = 67), and for social background by place of residence (by postal code).

Blood biochemistry

Blood samples were taken by venipuncture. Serum was separated by centrifugation and stored at –80 C. PSA was measured using the Tandem-E immunoenzymetric assay (Hybritech Inc., San Diego, CA), and blood samples were drawn before the other tests were performed. PSA velocity (PSAV) [i.e. (PSA2 – PSA1/year)] was determined for each subject (30).

Total and free IGF-I and IGFBP-3 were assayed with commercially available immunoradiometric assays (Diagnostic Systems Laboratories, Webster, TX). All assays were carried out in a blinded manner, and quality-control samples were included within assay runs. Interassay coefficients of variation for total IGF-I, free IGF-I, and IGFBP-3 were 8.2, 10.3, and 1.9%, respectively. Intraassay coefficients of variation for total IGF-I, free IGF-I, and IGFBP-3 were 3.4, 10.7, and 3.9%, respectively. From four controls no blood was available for the measurement of parameters of the IGF-I system.

TRUS

TRUS was performed using a Brüel & Kjær model 1846 mainframe (Brüel & Kjær Medical, Naerum, Denmark) and a 7-MHz biplanar endorectal transducer with the participant in the left lateral decubitus position. The prostate volume and transition zone volume were measured using 5-mm step section planimetry.

Statistical analysis

Statistical analysis of the data was performed using SPSS for Windows (version 11.0; SPPS Inc., Chicago, IL). Data are presented as mean ± SD unless otherwise mentioned. P < 0.05 was considered significant. Data were tested for normality of distribution by Kolmogorov-Smirnov test, and, consequently, total IGF-I, free IGF-I, and PSA were log-transformed to obtain normal distribution.

Pearson’s correlation coefficients were calculated to assess associations between variables. Statistical analysis of differences between cases and controls were performed with the two-independent-sample t test if there was a normal distribution, and the Mann-Whitney U test if there was a nonnormal distribution. Independent factors for the prediction of prostate carcinoma were identified by a stepwise forward logistic regression analysis. The following variables were entered into the model log (total IGF-I), log (free IGF-I), IGFBP-3, PSAD, PSATZD, age at baseline, log (PSA visit 1), log (PSA visit 2), and PSAV.


    Results
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
The general characteristics of the whole study population are presented in Table 1Go. PSA values at baseline were not significantly different between cases and controls, whereas there was a significant difference at visit 2. Mean PSA at the first visit was 2.3 ng/ml, and mean PSA at the second visit was 3.7 ng/ml. At baseline, total IGF-I, free IGF-I, and IGFBP-3 levels, prostate volume, PSAD, and PSATZD of cases with prostate cancer were not different from those of healthy controls (Table 2Go). PSAV was significantly different between cases and controls [0.042 (0.068) ng/ml·yr, mean (SD), vs. 0.009 (0.027) ng/ml·yr; P < 0.001]. Total IGF-I was positively related to free IGF-I (r = 0.47, P < 0.01) and IGFBP-3 (r = 0.51, P < 0.01), and free IGF-I was positively related with IGFBP-3 (r = 0.13, P < 0.01). Total and free IGF-I did not significantly decrease with age (total IGF-I: r = –0.056, P = 0.26; free IGF-I: r = –0.088, P = 0.08), whereas IGFBP-3 did (r = –0.22, P < 0.01). Prostate volume and PSA were not associated with age at baseline (prostate volume: r = 0.060, P = 0.35; PSA: r = 0.039, P = 0.44). Circulating total IGF-I, free IGF-I, and IGFBP-3 levels were not related to prostate volume (total IGF-I: r = –0.035, P = 0.59; free IGF-I: r = 0.05, P = 0.42; IGFBP-3: r = –0.11, P = 0.09). There were also no significant relationships among total IGF-I, free IGF-I, and IGFBP-3 levels and PSA, PSAV, PSAD, PSATZD (data not shown). After stratifying for prostate volume, mean total IGF-I, free IGF-I, and IGFBP-3 levels were not significantly different between prostate cancer cases and controls (Table 3Go).


View this table:
[in this window]
[in a new window]
 
TABLE 1. General characteristics of the study population (402 men; 201 cases and 201 controls) at baseline (visit 1) and 4 yr later (visit 2)

 

View this table:
[in this window]
[in a new window]
 
TABLE 2. Characteristics of the IGF-I system and prostate volume in the study population at baseline (visit 1)

 

View this table:
[in this window]
[in a new window]
 
TABLE 3. Mean total IGF-I, free IGF-I, and IGFBP-3 levels, respectively, overall (n = 246) in prostate cancer cases (n = 128) and controls (n = 118) stratified by prostate volume

 
Clinical staging of the 201 cases with prostate cancer showed the following results: T1cN0M0, n = 132 subjects (65.7%); T2cN0M0, n = 35 subjects (17.4%); T2bcN0M0, n = 15 subjects (7.4%); T2cN0M0, n = 8 subjects (4.0%); T3aN0M0, n = 7 subjects (3.5%); and T3cN0M0, n = 3 subjects (1.5%). Only one of the 201 subjects had metastases [T2bN0M1, one subject (0.5%)].

There were no differences in IGF-I-related parameters between subjects with prostate cancer with different tumor node metastasis categories (T1–2 vs. T3–4) (Fig. 1Go). The Gleason scores of the 201 cases with prostate cancer were: Gleason grade 2–6, n = 157 subjects (78.2%) and Gleason grade 7–10, n = 41 subjects (20.5%). For three subjects, the Gleason score was missing (1.5%). There were no differences in IGF-I-related parameters between subjects with prostate cancer with different Gleason grades (Gleason grade 2–6 vs. Gleason grade 7–10) (Fig. 2Go).



View larger version (10K):
[in this window]
[in a new window]
 
FIG. 1. Boxplots of IGF-I parameters between subjects with prostate cancer with different tumor node metastasis categories [T1–2 (n = 191 subjects) vs. T3–4 (10 subjects)].

 


View larger version (13K):
[in this window]
[in a new window]
 
FIG. 2. Boxplots of IGF-I parameters between subjects with prostate cancer with different Gleason scores [Gleason score 2–6 (n = 157 subjects) vs. Gleason score 7–10 (41 subjects)]. For three subjects, the Gleason score was missing.

 
Stepwise forward logistic regression analysis showed that only log (PSA) levels at baseline and log (PSA) at round 2 after 4 yr are good predictors of prostate cancer (P < 0.001 and P < 0.001, respectively), whereas total IGF-I, free IGF-I, IGFBP-3, PSAD, PSATZD, age at baseline, prostate volume, and PSAV did not predict prostate cancer.


    Discussion
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 
In this population-based study, no differences in total IGF-I and IGFBP-3 levels were observed between patients with prostate cancer and healthy controls. Circulating free IGF-I levels may often reflect IGF-I bioactivity better than total IGF-I (31, 32). However, we also did not observe associations between serum free IGF-I concentrations and prostate cancer.

Our study suggests that the measurement of IGF-I and/or IGFBP-3 in addition to PSA does not improve the identification of men at high risk to develop prostate cancer during the subsequent 4 yr. The strength of our study is the population-based design and the number of included prostate cancer cases and controls, all matched at baseline for PSA levels, age, and social background. In addition, cases and controls had comparable prostate volumes at baseline, whereas all subjects with prostate cancer at the first screening round had been excluded from our study. In accordance with our findings also, no differences in circulating total IGF-I and IGFBP-3 levels between prostate cancer patients and healthy controls have been reported in several other studies (5, 6, 8, 11, 33, 34, 35, 36, 37).

However, there are also a number of studies that suggested that increased serum IGF-I concentrations and decreased IGFBP-3 levels were independently associated with prostate cancer risk (1, 2, 3, 4, 7, 8, 9, 38, 39, 40, 41).

What could be the reason for these conflicting results? Most of the protocols of the studies that reported a positive association between IGF-I and/or IGFBP-3 and prostate risk contained several methodological differences compared with our study design. Occurrence of prostate cancer in most previous studies was captured passively (1, 2, 3), whereas in our study we actively screened for prostate cancer. In addition, we included only subjects who after active screening were found to be free of prostate cancer at baseline. In addition, in our study, cases and controls were carefully matched for age, serum PSA range at baseline, and social background, whereas in other studies these variables were not often matched very well. Sample size in several other studies differed from ours as well (1, 2, 4, 9, 38, 40, 41). In many of these studies, prostate volume at baseline was not evaluated (1, 2, 3, 4, 9, 39, 40, 41). Moreover, heparinized whole blood was used to measure IGF-I levels in one study (1). It is known that there may be significant discrepancies in the values of IGF-I and IGFBP-3 measured in serum and plasma when samples collected from the same individuals are compared (42, 43). Furthermore, in the study of Chan et al. (1), baseline PSA levels were already elevated in those individuals who developed prostate cancer during follow-up (see also below). Moreover, the time elapsed between the measurement of IGF-I levels and the actual diagnosis of prostate cancer varied between studies.

Another plausible and probably the best explanation for all these inconsistent results has been given by Chan et al. (34). Although they initially reported a positive association between plasma levels of IGF-I and the risk of prostate cancer within the Physicians’ Health Study, they were not able to confirm these results 2 yr later, when studying a larger sample within the same Physicians’ Health Study (1, 34). However, they still found a strong positive association for plasma IGF-I and an inverse association for plasma IGFBP-3 for extraprostatic and distant metastatic prostate cancers. These associations, however, were absent when tumors were confined to the prostate gland (34). Chan et al. therefore concluded that circulating IGF-I and IGFBP-3 may predict the risk of developing advanced-stage prostate cancer, although the significance for their measurement for screening purposes of localized incident prostate cancer may be limited. Our study confirms this latter conclusion. In our study, based on clinical staging, only 11 of the 201 prostate cancers were not confined within the prostate gland. In addition, serum IGF-I and IGFBP-3 levels did not correlate with the Gleason score in biopsy samples of patients with prostate cancer, in accordance to previous findings (44).

Our observations may have clinical implications because they suggest that the endocrine (i.e. circulating) IGF-I system is not directly involved in the induction of the early growth of prostate cancer cells. However, this still does not exclude involvement of the IGF-I system in prostate cancer, because the previous observations of Chan et al. suggest that as soon there is extracapsular spread of prostate cancer cells, the serum levels of IGF-I and IGFBP-3 may become important, because they may directly influence the growth of prostate cancer cells.

Using stepwise forward logistic regression analysis PSA levels at baseline and at the second round after 4 yr were the only good predictors of prostate cancer in our study. PSA is the most abundant protease produced in the prostate. PSA is also an IGFBP-3 protease. We did not find any correlations among IGF-I, IGFBP-3, and PSA. In two previous reports (22, 45), a negative correlation between PSA and IGFBP-3 has been reported. An explanation for this may be that in our study no patients were included with very high PSA levels associated with advanced metastatic disease. In favor of this latter argument, it has been found by Koistinen et al. (46) that the elevated PSA levels occurring in serum of patients with early prostate cancer do not correlate with the proteolytic cleavage of circulating IGFBP-3. Our findings do not exclude that PSA and other prostatic BP-3 proteases may induce the release of free IGF-I by local proteolysis of IGFBP-3 in the prostate. However, a small study (47) did not find a difference in free IGF-I levels in the prostatic fluid of patients with prostate cancer and normal men.

In conclusion, total IGF-I, free IGF-I, and IGFBP-3 levels are not useful predictors of early stages of prostate cancer in a (population-based) screening setting. Our study confirms the findings of Chan et al., suggesting that the endocrine IGF-I system is not directly involved in the induction of the early growth of prostate cancer cells.


    Footnotes
 
Abbreviations: DRE, Digital rectal examination; IGFBP, IGF binding protein; PSA, prostate-specific antigen; PSAD, PSA density; PSATZD, PSA density of the transition zone; PSAV, PSA velocity; TRUS, transrectal ultrasound investigation.

Received February 9, 2004.

Accepted June 16, 2004.


    References
 Top
 Abstract
 Introduction
 Subjects and Methods
 Results
 Discussion
 References
 

  1. Chan JM, Stampfer MJ, Giovannucci E, Gann PH, Ma J, Wilkinson P, Hennekens CH, Pollak M 1998 Plasma insulin-like growth factor-I and prostate cancer risk: a prospective study. Science 279:563–566[Abstract/Free Full Text]
  2. Mantzoros CS, Tzonou A, Signorello LB, Stampfer M, Trichopoulos D, Adami HO 1997 Insulin-like growth factor 1 in relation to prostate cancer and benign prostatic hyperplasia. Br J Cancer 76:1115–1118[Medline]
  3. Wolk A, Mantzoros CS, Andersson SO, Bergstrom R, Signorello LB, Lagiou P, Adami HO, Trichopoulos D 1998 Insulin-like growth factor 1 and prostate cancer risk: a population-based, case-control study. J Natl Cancer Inst 90: 911–915
  4. Chokkalingam AP, Pollak M, Fillmore CM, Gao YT, Stanczyk FZ, Deng J, Sesterhenn IA, Mostofi FK, Fears TR, Madigan MP, Ziegler RG, Fraumeni Jr JF, Hsing AW 2001 Insulin-like growth factors and prostate cancer: a population-based case-control study in China. Cancer Epidemiol Biomarkers Prev 10:421–427[Abstract/Free Full Text]
  5. Finne P, Auvinen A, Koistinen H, Zhang WM, Maattanen L, Rannikko S, Tammela T, Seppala M, Hakama M, Stenman UH 2000 Insulin-like growth factor I is not a useful marker of prostate cancer in men with elevated levels of prostate-specific antigen. J Clin Endocrinol Metab 85:2744–2747[Abstract/Free Full Text]
  6. Baffa R, Reiss K, El-Gabry EA, Sedor J, Moy ML, Shupp-Byrne D, Strup SE, HauckWW, Baserga R, Gomella LG 2000 Low serum insulin-like growth factor 1 (IGF-1): a significant association with prostate cancer. Tech Urol 6:236–239[Medline]
  7. Cutting CW, Hunt C, Nisbet JA, Bland JM, Dalgleish AG, Kirby RS 1999 Serum insulin-like growth factor-1 is not a useful marker of prostate cancer. BJU Int 83:996–999[CrossRef][Medline]
  8. Kurek R, Tunn UW, Eckart O, Aumuller G, Wong J, Renneberg H 2000 The significance of serum levels of insulin-like growth factor-1 in patients with prostate cancer. BJU Int 85:125–129[CrossRef][Medline]
  9. Shi R, Berkel HJ, Yu H 2001 Insulin-like growth factor I and prostate cancer: a meta-analysis. Br J Cancer 85:991–996[CrossRef][Medline]
  10. Djavan B, Bursa B, Seitz C, Soeregi G, Remzi M, Basharkhah A, Wolfram R, Marberger M 1999 Insulin-like growth factor 1 (IGF-1), IGF-1 density, and IGF-1/PSA ratio for prostate cancer detection. Urology 54:603–606[CrossRef][Medline]
  11. Yu H, Nicar MR, Shi R, Berkel HJ, Nam R, Trachtenberg J, Diamandis EP 2001 Levels of insulin-like growth factor I (IGF-I) and IGF binding proteins 2 and 3 in serial postoperative serum samples and risk of prostate cancer recurrence. Urology 57:471–475[CrossRef][Medline]
  12. Shariat SF, Bergamaschi F, Adler HL, Nguyen C, Kattan MW, Wheeler TM, Slawin KM 2000 Correlation of preoperative plasma IGF-I levels with pathologic parameters and progression in patients undergoing radical prostatectomy. Urology 56:423–429[CrossRef][Medline]
  13. Collett-Solberg PF, Cohen P 2000 Genetics, chemistry, and function of the IGF/IGFBP system. Endocrine 12:121–136[CrossRef][Medline]
  14. Thissen JP, Ketelslegers JM, Underwood LE 1994 Nutritional regulation of the insulin-like growth factors. Endocr Rev 15:80–101[Abstract]
  15. Harrela M, Koistinen H, Kaprio J, Lehtovirta M, Tuomilehto J, Eriksson J, Toivanen L, Koskenvuo M, Leinonen P, Koistinen R, Seppala M 1996 Genetic and environmental components of interindividual variation in circulating levels of IGF-I, IGF-II, IGFBP-1, and IGFBP-3. J Clin Invest 98:2612–2615[Medline]
  16. Djavan B, Waldert M, Seitz C, Marberger M 2001 Insulin-like growth factors and prostate cancer. World J Urol 19:225–233[CrossRef][Medline]
  17. Figueroa JA, Lee AV, Jackson JG, Yee D 1995 Proliferation of cultured human prostate cancer cells is inhibited by insulin-like growth factor (IGF) binding protein-1: evidence for an IGF-II autocrine growth loop. J Clin Endocrinol Metab 80:3476–3482[Abstract]
  18. Jones JI, Clemmons DR 1995 Insulin-like growth factors and their binding proteins: biological actions. Endocr Rev 16:3–34[CrossRef][Medline]
  19. Parkes C, Wald NJ, Murphy P, George L, Watt HC, Kirby R, Knekt P, Helzlsouer KJ, Tuomilehto J 1995 Prospective observational study to assess value of prostate specific antigen as screening test for prostate cancer. BMJ 311:1340–1343[Abstract/Free Full Text]
  20. Stenman UH, Hakama M, Knekt P, Aromaa A, Teppo L, Leinonen J 1994 Serum concentrations of prostate specific antigen and its complex with {alpha}1-antichymotrypsin before diagnosis of prostate cancer. Lancet 344:1594–1598[CrossRef][Medline]
  21. Cohen P, Peehl DM, Graves HC, Rosenfeld RG 1994 Biological effects of prostate specific antigen as an insulin-like growth factor binding protein-3 protease. J Endocrinol 142:407–415[Abstract]
  22. Kanety H, Madjar Y, Dagan Y, Levi J, Papa MZ, Pariente C, Goldwasser B, Karasik A 1993 Serum insulin-like growth factor-binding protein-2 (IGFBP-2) is increased and IGFBP-3 is decreased in patients with prostate cancer: correlation with serum prostate-specific antigen. J Clin Endocrinol Metab 77:229–233[Abstract]
  23. Auvinen A, Rietbergen JB, Denis LJ, Schröder FH, Prorok PC 1996 Prospective evaluation plan for randomised trials of prostate cancer screening. The International Prostate Cancer Screening Trial Evaluation Group. J Med Screen 3:97–104[Medline]
  24. Schröder FH, van der Maas P, Beemsterboer P, Kruger AB, Hoedemaeker R, Rietbergen J, Kranse R 1998 Evaluation of the digital rectal examination as a screening test for prostate cancer. Rotterdam section of the European Randomized Study of Screening for Prostate Cancer. J Natl Cancer Inst 90:1817–1823[Abstract/Free Full Text]
  25. Beemsterboer PM, Kranse R, de Koning HJ, Habbema JD, Schröder FH 1999 Changing role of 3 screening modalities in the European randomized study of screening for prostate cancer (Rotterdam). Int J Cancer 84:437–441[CrossRef][Medline]
  26. van der Cruijsen-Koeter IW, van der Kwast TH, Schröder FH 2003 Interval carcinomas in the European Randomized Study of Screening for Prostate Cancer (ERSPC)-Rotterdam. J Natl Cancer Inst 95:1462–1466[Abstract/Free Full Text]
  27. Schröder FH, Hermanek P, Denis L, Fair WR, Gospodarowicz MK, Pavone-Macaluso M 1992 The TNM classification of prostate cancer. Prostate Suppl 4:129–138[Medline]
  28. Gleason DF 1992 Histologic grading of prostate cancer: a perspective. Hum Pathol 23:273–279[CrossRef][Medline]
  29. Kikuchi E, Nakashima J, Ishibashi M, Ohigashi T, Asakura H, Tachibana M, Murai M 2000 Prostate specific antigen adjusted for transition zone volume: the most powerful method for detecting prostate carcinoma. Cancer 89: 842–849
  30. Raaijmakers R, Wildhagen MF, Ito K, Pàez A, de Vries SH, Roobol MJ, Schröder FH 2004 Prostate-specific antigen change in the European Randomized Study of Screening for Prostate Cancer, section Rotterdam. Urology 63:316–320[CrossRef][Medline]
  31. Frystyk J, Skjaerbaek C, Dinesen B, Orskov H 1994 Free insulin-like growth factors (IGF-I and IGF-II) in human serum. FEBS Lett 348:185–191[CrossRef][Medline]
  32. Janssen JAMJL, van der Lely AJ, Lamberts SWJ 2003 Circulating free insulin-like growth-factor-I (IGF-I) levels should also be measured to estimate the IGF-I bioactivity. J Endocrinol Invest 26:588–594[Medline]
  33. Ismail AH, Pollak M, Behlouli H, Tanguay S, Begin LR, Aprikian AG 2002 Insulin-like growth factor-1 and insulin-like growth factor binding protein-3 for prostate cancer detection in patients undergoing prostate biopsy. J Urol 168:2426–2430[Medline]
  34. Chan JM, Stampfer MJ, Ma J, Gann P, Gaziano JM, Pollak M, Giovannucci E 2002 Insulin-like growth factor-I (IGF-I) and IGF binding protein-3 as predictors of advanced-stage prostate cancer. J Natl Cancer Inst 94:1099–1106[Abstract/Free Full Text]
  35. Woodson K, Tangrea JA, Pollak M, Copeland TD, Taylor PR, Virtamo J, Albanes D 2003 Serum insulin-like growth factor I: tumor marker or etiologic factor? A prospective study of prostate cancer among Finnish men. Cancer Res 63:3991–3994[Abstract/Free Full Text]
  36. Cohen P, Peehl DM, Stamey TA, Wilson KF, Clemmons DR, Rosenfeld RG 1993 Elevated levels of insulin-like growth factor-binding protein-2 in the serum of prostate cancer patients. J Clin Endocrinol Metab 76:1031–1035[Abstract]
  37. Ho PJ, Baxter RC 1997 Insulin-like growth factor-binding protein-2 in patients with prostate carcinoma and benign prostatic hyperplasia. Clin Endocrinol (Oxf) 46:145–154[CrossRef][Medline]
  38. Harman SM, Metter EJ, Blackman MR, Landis PK, Carter HB; Baltimore Longitudinal Study on Aging 2000 Serum levels of insulin-like growth factor I (IGF-I), IGF-II, IGF-binding protein-3, and prostate-specific antigen as predictors of clinical prostate cancer. J Clin Endocrinol Metab 85:4258–4265[Abstract/Free Full Text]
  39. Signorello LB, Brismar K, Bergstrom R, Andersson SO, Wolk A, Trichopoulos D, Adami HO 1999 Insulin-like growth factor-binding protein-1 and prostate cancer. J Natl Cancer Inst 91:1965–1967[Free Full Text]
  40. Stattin P, Bylund A, Rinaldi S, Biessy C, Dechaud H, Stenman UH, Egevad L, Riboli E, Hallmans G, Kaaks R 2000 Plasma insulin-like growth factor-I, insulin-like growth factor-binding proteins, and prostate cancer risk: a prospective study. J Natl Cancer Inst 92:1910–1917[Abstract/Free Full Text]
  41. Khosravi J, Diamandi A, Mistry J, Scorilas A 2001 Insulin-like growth factor I (IGF-I) and IGF-binding protein-3 in benign prostatic hyperplasia and prostate cancer. J Clin Endocrinol Metab 86:694–699[Abstract/Free Full Text]
  42. Yu H, Mistry J, Nicar MJ, Khosravi MJ, Diamandis A, van Doorn J, Juul A 1999 Insulin-like growth factors (IGF-I, free IGF-I and IGF-II) and insulin-like growth factor binding proteins (IGFBP-2, IGFBP-3, IGFBP-6, and ALS) in blood circulation. J Clin Lab Anal 13:166–172[CrossRef][Medline]
  43. Renehan AG, Jones J, O’Dwyer ST, Shalet SM 2003 Determination of IGF-I, IGF-II, IGFBP-2, and IGFBP-3 levels in serum and plasma: comparisons using the Bland-Altman method. Growth Horm IGF Res 13:341–346[CrossRef][Medline]
  44. Ismail HA, Pollak M, Behlouli H, Tanguay S, Begin LR, Aprikian AG 2003 Serum insulin-like growth factor (IGF)-1 and IGF-binding protein-3 do not correlate with Gleason score or quantity of prostate cancer in biopsy samples. BJU Int 92:699–702[Medline]
  45. Smith GL, Doherty AP, Mitchell H, Hanham IW, Christmas TJ, Epstein RJ 1999 Inverse relation between prostate-specific antigen and insulin-like growth factor-binding protein 3 in bone metastases and serum of patients with prostate cancer. Lancet 354:2053–2054
  46. Koistinen H, Paju A, Koistinen R, Finne P, Lovgren J, Wu P, Seppala M, Stenman UH 2002 Prostate-specific antigen and other prostate-derived proteases cleaved IGFBP-3, but prostate cancer is not associated with proteolytically cleaved circulating IGFBP-3. Prostate 50:112–118[CrossRef][Medline]
  47. Perk H, Serel TA, Delibas N, Sutcu R 2001 Prostatic fluid-free insulin-like growth factor-1 in relation to prostate cancer. BJU Int 88:946–949[Medline]



This article has been cited by other articles:


Home page
EndocrinologyHome page
Z. Wang, R. M. Luque, R. D. Kineman, V. H. Ray, K. T. Christov, D. D. Lantvit, T. Shirai, S. Hedayat, T. G. Unterman, M. C. Bosland, et al.
Disruption of Growth Hormone Signaling Retards Prostate Carcinogenesis in the Probasin/TAg Rat
Endocrinology, March 1, 2008; 149(3): 1366 - 1376.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
N. E. Allen, T. J. Key, P. N. Appleby, R. C. Travis, A. W. Roddam, S. Rinaldi, L. Egevad, S. Rohrmann, J. Linseisen, T. Pischon, et al.
Serum Insulin-like Growth Factor (IGF)-I and IGF-Binding Protein-3 Concentrations and Prostate Cancer Risk: Results from the European Prospective Investigation into Cancer and Nutrition
Cancer Epidemiol. Biomarkers Prev., June 1, 2007; 16(6): 1121 - 1127.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
G. Severi, H. A. Morris, R. J. MacInnis, D. R. English, W. D. Tilley, J. L. Hopper, P. Boyle, and G. G. Giles
Circulating insulin-like growth factor-I and binding protein-3 and risk of prostate cancer.
Cancer Epidemiol. Biomarkers Prev., June 1, 2006; 15(6): 1137 - 1141.
[Abstract] [Full Text] [PDF]


Home page
EndocrinologyHome page
Z. Wang, G. S. Prins, K. T. Coschigano, J. J. Kopchick, J. E. Green, V. H. Ray, S. Hedayat, K. T. Christov, T. G. Unterman, and S. M. Swanson
Disruption of Growth Hormone Signaling Retards Early Stages of Prostate Carcinogenesis in the C3(1)/T Antigen Mouse
Endocrinology, December 1, 2005; 146(12): 5188 - 5196.
[Abstract] [Full Text] [PDF]


Home page
Cancer Epidemiol. Biomarkers Prev.Home page
F. Meyer, P. Galan, P. Douville, I. Bairati, P. Kegle, S. Bertrais, S. Czernichow, and S. Hercberg
A Prospective Study of the Insulin-Like Growth Factor Axis in Relation with Prostate Cancer in the SU.VI.MAX Trial
Cancer Epidemiol. Biomarkers Prev., September 1, 2005; 14(9): 2269 - 2272.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Clin. Nutr.Home page
S. C Larsson, K. Wolk, K. Brismar, and A. Wolk
Association of diet with serum insulin-like growth factor I in middle-aged and elderly men
Am. J. Clinical Nutrition, May 1, 2005; 81(5): 1163 - 1167.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Submit a related Letter to the Editor
Right arrow Purchase Article
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Request Copyright Permission
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Janssen, J. A. M. J. L.
Right arrow Articles by Schröder, F. H.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Janssen, J. A. M. J. L.
Right arrow Articles by Schröder, F. H.


HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
Endocrinology Endocrine Reviews J. Clin. End. & Metab.
Molecular Endocrinology Recent Prog. Horm. Res. All Endocrine Journals