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Insulin-Like Growth Factor-I (IGF-I) and IGF Binding Protein-3 as Predictors of Advanced-Stage Prostate Cancer
- Source :
- CancerSpectrum Knowledge Environment. 94:1099-1106
- Publication Year :
- 2002
- Publisher :
- Oxford University Press (OUP), 2002.
-
Abstract
- BACKGROUND Plasma levels of insulin-like growth factor-I (IGF-I) have been associated with the risk of prostate cancer. However, the association of IGF-I with specific tumor stage and grade at diagnosis, which correlate with risk of recurrence and mortality, has not been studied rigorously. To determine whether plasma levels of IGF-I and its main circulating binding protein, IGF binding protein-3 (IGFBP-3), predict more aggressive forms of prostate cancer, we investigated the association between plasma levels of each and specific stages and grades of prostate cancer. METHODS We examined 530 case patients and 534 control subjects in a nested case-control study in the prospective Physicians' Health Study. Patients with prostate cancer diagnosed from 1982 through 1995 were matched to control subjects by age and smoking status. IGF-I and IGFBP-3 were measured in prospectively collected plasma samples. Conditional logistic regression models were used to estimate the relative risks (RRs) for prostate cancer associated with IGF-I and IGFBP-3, stratified on grade (Gleason score > or = 7 versus
- Subjects :
- Adult
Male
Risk
Oncology
Cancer Research
medicine.medical_specialty
medicine.medical_treatment
Sensitivity and Specificity
Insulin-like growth factor
Prostate cancer
Prostate
Internal medicine
medicine
Humans
Insulin-Like Growth Factor I
Stage (cooking)
Aged
Aged, 80 and over
Gynecology
business.industry
Case-control study
Prostatic Neoplasms
Middle Aged
medicine.disease
Confidence interval
Insulin-Like Growth Factor Binding Protein 3
Logistic Models
Prostate cancer screening
medicine.anatomical_structure
Case-Control Studies
Relative risk
business
Subjects
Details
- ISSN :
- 14602105
- Volume :
- 94
- Database :
- OpenAIRE
- Journal :
- CancerSpectrum Knowledge Environment
- Accession number :
- edsair.doi.dedup.....4ca5ad28ac6471d82ded58a88bd2c793
- Full Text :
- https://doi.org/10.1093/jnci/94.14.1099