Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • My Cart

Search

  • Advanced search
Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Research Articles

Circulating Insulin-Like Growth Factor-I and Binding Protein-3 and Risk of Prostate Cancer

Gianluca Severi, Howard A. Morris, Robert J. MacInnis, Dallas R. English, Wayne D. Tilley, John L. Hopper, Peter Boyle and Graham G. Giles
Gianluca Severi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Howard A. Morris
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert J. MacInnis
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Dallas R. English
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Wayne D. Tilley
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
John L. Hopper
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Peter Boyle
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Graham G. Giles
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1055-9965.EPI-05-0823 Published June 2006
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Tables

  • Table 1.

    Demographic characteristics and hormone levels of subjects (cases and subcohort)

    Prostate cancer cases
    Subcohort (n = 1,826)
    Aggressive* (n = 88)Nonaggressive (n = 430)
    Age at baseline (y), n (%)
        <502 (2)18 (4)578 (32)
        50-5914 (16)120 (28)565 (31)
        60+72 (82)292 (68)683 (37)
    Country of birth, n (%)
        Australia/New Zealand/United Kingdom72 (82)342 (80)1,321 (72)
        Italy13 (15)49 (11)260 (14)
        Greece3 (3)39 (9)245 (13)
    Smoking, n (%)
        Never33 (38)176 (41)723 (40)
        Former49 (56)209 (49)815 (45)
        Current6 (7)45 (11)288 (16)
    Alcohol (g/d), n (%)
        No alcohol25 (28)88 (21)337 (18)
        1-3949 (56)275 (64)1,172 (64)
        40+14 (16)66 (15)315 (17)
    Body mass index, mean (SD)27.9 (3.8)27.1 (3.5)27.2 (3.6)
    Hormone and PSA levels,† median (interquartile range)
        PSA‡ (ng/mL)4.6 (2.1-18.4)3.4 (1.9-6.9)0.8 (0.5-1.5)
        IGF-I (nmol/L)22 (19-26)22 (17-28)23 (18-29)
        IGFBP-3 (nmol/L)107 (93-123)106 (90-125)107 (91-124)
        IGF-I/IGFBP-3 molar ratio0.21 (0.19-0.25)0.21 (0.17-0.25)0.22 (0.18-0.26)
    • ↵* A tumor was classified as aggressive if Gleason score was >7 or stage was advanced (T4 or N+ or M+). We were not able to define aggressiveness for six cases because Gleason score and tumor stage were not available (clinical diagnoses only).

    • ↵† The number of missing measures was 25 for PSA.

    • ↵‡ PSA levels at blood draw (baseline), not at diagnosis.

  • Table 2.

    Relative risk of prostate cancer by quartile of hormone levels and by tumor aggressiveness

    Q1*Q2, HR† (95% CI)Q3, HR (95% CI)Q4, HR (95% CI)Ptrend‡P§
    All prostate cancer
        IGF-IReference0.88 (0.66-1.18)1.08 (0.80-1.44)1.07 (0.79-1.46)0.5—
        IGFBP-3Reference1.03 (0.76-1.39)1.19 (0.88-1.60)1.49 (1.11-2.00)0.008—
        IGF-I/IGFBP-3Reference0.92 (0.69-1.22)0.95 (0.71-1.28)0.82 (0.61-1.11)0.2—
    Nonaggressive prostate cancer
        IGF-IReference0.87 (0.64-1.18)0.99 (0.72-1.36)1.09 (0.79-1.51)0.6—
        IGFBP-3Reference1.02 (0.74-1.40)1.16 (0.84-1.59)1.40 (1.02-1.92)0.04—
        IGF-I/IGFBP-3Reference0.94 (0.69-1.27)0.95 (0.70-1.31)0.84 (0.61-1.17)0.3—
    Aggressive prostate cancer
        IGF-IReference1.03 (0.56-1.91)1.58 (0.87-2.87)1.07 (0.54-2.11)0.50.7
        IGFBP-3Reference1.06 (0.57-2.00)1.26 (0.68-2.36)1.88 (1.03-3.41)0.050.4
        IGF-I/IGFBP-3Reference0.86 (0.47-1.57)1.02 (0.56-1.85)0.78 (0.42-1.47)0.6>0.9
    Late-onset prostate cancer (>64 y)
        IGF-IReference0.88 (0.63-1.22)1.12 (0.80-1.57)1.08 (0.75-1.54)0.5—
        IGFBP-3Reference1.04 (0.74-1.45)1.19 (0.85-1.66)1.44 (1.03-2.03)0.04—
        IGF-I/IGFBP-3Reference0.90 (0.65-1.26)1.03 (0.73-1.44)0.84 (0.60-1.19)0.5—
    Early-onset prostate cancer (≤64 y)
        IGF-IReference0.89 (0.52-1.53)0.93 (0.53-1.62)1.05 (0.62-1.78)0.80.8
        IGFBP-3Reference1.03 (0.56-1.87)1.21 (0.67-2.20)1.63 (0.93-2.85)0.060.6
        IGF-I/IGFBP-3Reference0.97 (0.58-1.60)0.74 (0.43-1.26)0.74 (0.43-1.29)0.20.5
    Follow-up from 2 y onwards
        IGF-IReference0.95 (0.70-1.30)1.15 (0.84-1.58)1.02 (0.73-1.42)0.60.6∥
        IGFBP-3Reference0.95 (0.69-1.31)1.08 (0.78-1.48)1.45 (1.06-1.98)0.030.5∥
        IGF-I/IGFBP-3Reference0.93 (0.69-1.26)1.00 (0.73-1.37)0.80 (0.58-1.11)0.30.9∥
    • NOTE: A tumor was classified as aggressive if Gleason score was >7 or stage was advanced (T4 or N+ or M+). We were not able to define aggressiveness for six cases because Gleason score and tumor stage were not available (clinical diagnoses only).

    • ↵* Quartiles were assigned within each laboratory batch to adjust for any variation between batches.

    • ↵† HRs from Cox regression models adjusted for country of birth (Australia/New Zealand, United Kingdom, Italy, or Greece) and alcohol consumption. The Prentice method has been used to take into account the case-cohort sampling (see Materials and Methods). HRs by tumor aggressiveness and age at diagnosis were obtained from Cox regression models fitted using competing risks methods.

    • ↵‡ The hypothesis of a linear trend in the HR was tested, including in the model a pseudo-continuous variable computed assigning the median level of the specific hormone for each quartile.

    • ↵§ Test for difference in the estimates for the pseudo-continuous variables (i.e., linear trend) between aggressive and nonaggressive cases and between early-onset and late-onset cases.

    • ↵∥ Test for difference in the estimates for the pseudo-continuous variables (i.e., linear trend) between the first 2 years and the rest of the follow-up.

PreviousNext
Back to top
Cancer Epidemiology Biomarkers & Prevention: 15 (6)
June 2006
Volume 15, Issue 6
  • Table of Contents
  • Table of Contents (PDF)

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Epidemiology, Biomarkers & Prevention article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Circulating Insulin-Like Growth Factor-I and Binding Protein-3 and Risk of Prostate Cancer
(Your Name) has forwarded a page to you from Cancer Epidemiology, Biomarkers & Prevention
(Your Name) thought you would be interested in this article in Cancer Epidemiology, Biomarkers & Prevention.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Circulating Insulin-Like Growth Factor-I and Binding Protein-3 and Risk of Prostate Cancer
Gianluca Severi, Howard A. Morris, Robert J. MacInnis, Dallas R. English, Wayne D. Tilley, John L. Hopper, Peter Boyle and Graham G. Giles
Cancer Epidemiol Biomarkers Prev June 1 2006 (15) (6) 1137-1141; DOI: 10.1158/1055-9965.EPI-05-0823

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Circulating Insulin-Like Growth Factor-I and Binding Protein-3 and Risk of Prostate Cancer
Gianluca Severi, Howard A. Morris, Robert J. MacInnis, Dallas R. English, Wayne D. Tilley, John L. Hopper, Peter Boyle and Graham G. Giles
Cancer Epidemiol Biomarkers Prev June 1 2006 (15) (6) 1137-1141; DOI: 10.1158/1055-9965.EPI-05-0823
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Materials and Methods
    • Results
    • Discussion
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Early-Life Risk Factors for Breast Cancer
  • Sugary Drink Consumption and Colorectal Cancer Risk
  • HPV Testing in Self-samples and Urine
Show more Research Articles
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • Online First
  • Current Issue
  • Past Issues

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Epidemiology, Biomarkers & Prevention

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

Advertisement