» Articles » PMID: 14532796

The Long-term Clinical Impact of Biochemical Recurrence of Prostate Cancer 5 or More Years After Radical Prostatectomy

Overview
Journal J Urol
Publisher Wolters Kluwer
Specialty Urology
Date 2003 Oct 9
PMID 14532796
Citations 73
Authors
Affiliations
Soon will be listed here.
Abstract

Purpose: Information regarding the clinical impact of delayed (5 years or greater) biochemical failure (BF) after radical prostatectomy (RP) is lacking. We undertook an investigation to differentiate the innocuous recurrence of serum prostate specific antigen (PSA) from that which heralds an eventual clinical failure (CF), and to determine if there is a period following RP when a patient is cured of clinical disease.

Materials And Methods: Men with clinically localized prostate cancer (PCA) undergoing RP (1987 to 1995) were identified from our longitudinal PCA registry. Outcome measurements were based on the detection of post-RP serum PSA 0.4 ng/ml or greater, clinical identification of cancer recurrence and disease related death.

Results: Following RP in 3,903 eligible men, 33% had a detectable PSA (median followup 8.8 years). Of these BFs 27% occurred after 5 or more disease-free years. Currently, 29% of all men with BF have clinical evidence of PCA, with 8% dying of PCA (median actuarial survival time from CF to death 9.8 years). Progression from BF to CF was not significantly altered by the disease-free interval (p = 0.544). A PSA doubling time less than 12 months significantly increased the risk of CF regardless of the interval from surgery. Risk factors for BF were significant throughout the duration of followup.

Conclusions: Patients are at prolonged risk for BF and CF following RP. Regardless of the timing of the initial PSA recurrence the PSA doubling time is the most powerful predictor of progression, stratifying patients with BF into high and low risk groups for CF.

Citing Articles

Leveraging cell death patterns to predict metastasis in prostate adenocarcinoma and targeting PTGDS for tumor suppression.

Chen B, Guo L, Wang L, Wu P, Zheng X, Tan C Sci Rep. 2024; 14(1):21680.

PMID: 39289451 PMC: 11408614. DOI: 10.1038/s41598-024-72985-w.


Marker Ki-67 is a potential biomarker for the diagnosis and prognosis of prostate cancer based on two cohorts.

Song Z, Zhou Q, Zhang J, Ouyang J, Zhang Z World J Clin Cases. 2024; 12(1):32-41.

PMID: 38292624 PMC: 10824173. DOI: 10.12998/wjcc.v12.i1.32.


Development of a novel, clinically relevant anoikis-related gene signature to forecast prognosis in patients with prostate cancer.

Liu X, Wang K Front Genet. 2023; 14:1166668.

PMID: 37719710 PMC: 10499615. DOI: 10.3389/fgene.2023.1166668.


A seven-gene prognosis model to predict biochemical recurrence for prostate cancer based on the TCGA database.

He Y, Zhang J, Chen Z, Sun K, Wu X, Wu J Front Surg. 2023; 9:923473.

PMID: 37255653 PMC: 10226533. DOI: 10.3389/fsurg.2022.923473.


Integrated analysis of single-cell and bulk RNA sequencing identifies a signature based on macrophage marker genes involved in prostate cancer prognosis and treatment responsiveness.

Li X, Zheng C, Xue X, Wu J, Li F, Song D Funct Integr Genomics. 2023; 23(2):115.

PMID: 37010617 DOI: 10.1007/s10142-023-01037-9.