Open Research Newcastle
Browse

Risk stratification after biochemical failure following curative treatment of locally advanced prostate cancer: data from the TROG 96.01 trial

Download (1.33 MB)
journal contribution
posted on 2025-05-11, 10:39 authored by Allison Steigler, James W. Denham, Keen-Hun Tai, Chris Wynne, David S. Lamb, Nigel A. Spry, David Joseph, John Matthews, Chris Atkinson, Sandra Turner, John North, David Christie
Purpose: Survival following biochemical failure is highly variable. Using a randomized trial dataset, we sought to define a risk stratification scheme in men with locally advanced prostate cancer (LAPC). Methods: The TROG 96.01 trial randomized 802 men with LAPC to radiation ± neoadjuvant androgen suppression therapy (AST) between 1996 and 2000. Ten-year follow-up data was used to develop three-tier post-biochemical failure risk stratification schemes based on cutpoints of time to biochemical failure (TTBF) and PSA doubling time (PSADT). Schemes were evaluated in univariable, competing risk models for prostate cancer-specific mortality. The performance was assessed by c-indices and internally validated by the simple bootstrap method. Performance rankings were compared in sensitivity analyses using multivariable models and variations in PSADT calculation. Results. 485 men developed biochemical failure. c-indices ranged between 0.630 and 0.730. The most discriminatory scheme had a high risk category defined by PSADT < 4 months or TTBF < 1 year and low risk category by PSADT > 9 months or TTBF > 3 years. Conclusion: TTBF and PSADT can be combined to define risk stratification schemes after biochemical failure in men with LAPC treated with short-term AST and radiotherapy. External validation, particularly in long-term AST and radiotherapy datasets, is necessary.

Funding

NHMRC

9936572

209801

455520

History

Journal title

Prostate Cancer

Volume

2012

Pagination

1-11

Publisher

Hindawi Publishing

Place published

London, UK

Language

  • en, English

College/Research Centre

Faculty of Health and Medicine

School

School of Medicine and Public Health

Usage metrics

    Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC