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Local failure events in prostate cancer treated with radiotherapy: A pooled analysis of 18 randomized trials from the meta-analysis of randomized trials in cancer of the prostate consortium (LEVIATHAN)

  • Ting Martin Ma,
  • Fang-I Chu,
  • Howard Sandler,
  • Felix Y. Feng,
  • Jason A. Efstathiou,
  • Christopher U. Jones,
  • Mack Roach 3rd,
  • Seth A. Rosenthal,
  • Thomas Pisansky,
  • Jeff M. Michalski,
  • Michel Bolla,
  • Theo M. de Reijke,
  • Philippe Maingon,
  • Anouk Neven,
  • James Denham,
  • Allison Steigler,
  • David Joseph,
  • Abdenour Nabid,
  • Luis Souhami,
  • Nathalie Carrier,
  • Luca Incrocci,
  • Wilma Heemsbergen,
  • Floris J. Pos,
  • Matthew R. Sydes,
  • David P. Dearnaley,
  • Alison C. Tree,
  • Isabel Syndikus,
  • Emma Hall,
  • Clare Cruickshank,
  • Shawn Malone,
  • Soumyajit Roy,
  • Yilun Sun,
  • Nicholas G. Zaorsky,
  • Nicholas G. Nickols,
  • Nicholas G. Nickols,
  • Matthew B. Rettig,
  • Michael L. Steinberg,
  • Vishruth K. Reddy,
  • Michael Xiang,
  • Tahmineh Romero,
  • Daniel E. Spratt,
  • Amar U. Kishan

Context

The prognostic importance of local failure after definitive radiotherapy (RT) in National Comprehensive Cancer Network intermediate- and high-risk prostate cancer (PCa) patients remains unclear.

Objective

To evaluate the prognostic impact of local failure and the kinetics of distant metastasis following RT.

Evidence acquisition

A pooled analysis was performed on individual patient data of 12 533 PCa (6288 high-risk and 6245 intermediate-risk) patients enrolled in 18 randomized trials (conducted between 1985 and 2015) within the Meta-analysis of Randomized Trials in Cancer of the Prostate Consortium. Multivariable Cox proportional hazard (PH) models were developed to evaluate the relationship between overall survival (OS), PCa-specific survival (PCSS), distant metastasis-free survival (DMFS), and local failure as a time-dependent covariate. Markov PH models were developed to evaluate the impact of specific transition states.

Evidence synthesis

The median follow-up was 11 yr. There were 795 (13%) local failure events and 1288 (21%) distant metastases for high-risk patients and 449 (7.2%) and 451 (7.2%) for intermediate-risk patients, respectively. For both groups, 81% of distant metastases developed from a clinically relapse-free state (cRF state). Local failure was significantly associated with OS (hazard ratio [HR] 1.17, 95% confidence interval [CI] 1.06–1.30), PCSS (HR 2.02, 95% CI 1.75–2.33), and DMFS (HR 1.94, 95% CI 1.75–2.15, p < 0.01 for all) in high-risk patients. Local failure was also significantly associated with DMFS (HR 1.57, 95% CI 1.36–1.81) but not with OS in intermediate-risk patients. Patients without local failure had a significantly lower HR of transitioning to a PCa-specific death state than those who had local failure (HR 0.32, 95% CI 0.21–0.50, p < 0.001). At later time points, more distant metastases emerged after a local failure event for both groups.

Conclusions

Local failure is an independent prognosticator of OS, PCSS, and DMFS in high-risk and of DMFS in intermediate-risk PCa. Distant metastasis predominantly developed from the cRF state, underscoring the importance of addressing occult microscopic disease. However a “second wave” of distant metastases occurs subsequent to local failure events, and optimization of local control may reduce the risk of distant metastasis.