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Intermediate clinical endpoints in early-stage breast cancer: an analysis of individual patient data from the Gruppo Italiano Mammella and Mammella Intergruppo trials.
Blondeaux, Eva; Xie, Wanling; Carmisciano, Luca; Mura, Silvia; Sanna, Valeria; De Laurentiis, Michelino; Caputo, Roberta; Turletti, Anna; Durando, Antonio; De Placido, Sabino; De Angelis, Carmine; Bisagni, Giancarlo; Gasparini, Elisa; Rimanti, Anita; Puglisi, Fabio; Mansutti, Mauro; Landucci, Elisabetta; Fabi, Alessandra; Arecco, Luca; Perachino, Marta; Bruzzone, Marco; Boni, Luca; Lambertini, Matteo; Del Mastro, Lucia; Regan, Meredith M.
Affiliation
  • Blondeaux E; U.O. Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Xie W; Division of Biostatistics, Dana-Farber Cancer Institute, Boston, USA.
  • Carmisciano L; Dipartimento di Medicina Clinica e Sperimentale, Università di Pisa, Pisa, Italy.
  • Mura S; Department of Medical Oncology, UOC Oncologia Medica, University Hospital of Sassari, Sassari, Italy.
  • Sanna V; Department of Medical Oncology, UOC Oncologia Medica, University Hospital of Sassari, Sassari, Italy.
  • De Laurentiis M; Istituto Nazionale per lo Studio e la Cura dei Tumouri, Fondazione Pascale IRCCS, Napoli, Italy.
  • Caputo R; Istituto Nazionale per lo Studio e la Cura dei Tumouri, Fondazione Pascale IRCCS, Napoli, Italy.
  • Turletti A; Medical Oncology, Ospedale Martini ASL Città di Torino, Torino, Italy.
  • Durando A; Breast Unit, Città della Salute e della Scienza, Ospedale S. Anna, Torino, Italy.
  • De Placido S; Department of Clinical Medicine and Surgery, University of Naples Federico II, Napoli, Italy.
  • De Angelis C; Department of Clinical Medicine and Surgery, University of Naples Federico II, Napoli, Italy.
  • Bisagni G; Department of Oncology and Advanced Technology, Oncology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
  • Gasparini E; Department of Oncology and Advanced Technology, Oncology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
  • Rimanti A; ASST Mantova, Azienda Ospedaliera Carlo Poma, Mantova, Italy.
  • Puglisi F; Department of Medical Oncology, Unit of Medical Oncology and Cancer Prevention, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy.
  • Mansutti M; Department of Medicine (DAME), University of Udine, Udine, Italy.
  • Landucci E; Azienda Sanitaria Universitaria Friuli Centrale, Udine, Italy.
  • Fabi A; Medical Oncology, S. Chiara Hospital, Pisa, Italy.
  • Arecco L; Precision Medicine Breast Unit, Scientific Directorate, Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
  • Perachino M; Department of Medical Oncology, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
  • Bruzzone M; Department of Internal Medicine and Medical Sciences (DiMI), School of Medicine, University of Genova, Genova, Italy.
  • Boni L; Department of Medical Oncology, U.O. Clinica di Oncologia Medica, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
  • Lambertini M; Department of Internal Medicine and Medical Sciences (DiMI), School of Medicine, University of Genova, Genova, Italy.
  • Del Mastro L; U.O. Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Regan MM; U.O. Epidemiology Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
EClinicalMedicine ; 70: 102501, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38685923
ABSTRACT

Background:

Intermediate clinical endpoints (ICEs) are frequently used as primary endpoint in randomised trials (RCTs). We aim to assess whether changes in different ICEs can be used to predict changes in overall survival (OS) in adjuvant breast cancer trials.

Methods:

Individual patient level data from adjuvant phase III RCTs conducted by the Gruppo Italiano Mammella (GIM) and Mammella Intergruppo (MIG) study groups were used. ICEs were computed according to STEEP criteria. Using a two-stage meta-analytic model, we assessed the surrogacy of each ICE at both the outcome (i.e., OS and ICE are correlated irrespective of treatment) and trial (i.e., treatment effects on ICE and treatment effect on OS are correlated) levels. The following ICEs were considered as potential surrogate endpoints of OS disease-free survival (DFS), distant disease-free survival (DDFS), distant relapse-free survival (DRFS), recurrence-free survival (RFS), recurrence-free interval (RFI), distant recurrence-free interval (DRFI), breast cancer-free interval (BCFI), and invasive breast cancer-free survival (IBCFS). The estimates of the degree of correlation were obtained by copula models and weighted linear regression. Kendall's τ and R2 ≥ 0.70 were considered as indicators of a clinically relevant surrogacy.

Findings:

Among the 12,397 patients enrolled from November 1992 to July 2012 in six RCTs, median age at enrolment was 57 years (interquartile range (IQR) 49-65). After a median follow-up of 10.3 years (IQR 6.4-14.5), 2131 (17.2%) OS events were observed, with 1390 (65.2%) attributed to breast cancer. At the outcome-level, Kendall's τ ranged from 0.69 for BCFI to 0.84 for DRFS. For DFS, DDFS, DRFS, RFS, RFI, DRFI, BCFI, and IBCFS endpoints, over 95% of the 8-year OS variability was attributable to the variation of the 5-year ICE. At the trial-level, treatment effects for the different ICEs and OS were strongly correlated, with the highest correlation for RFS and DRFS and the lowest for BCFI.

Interpretation:

Our results provide evidence supporting the use of DFS, DDFS, DRFS, RFS, RFI, DRFI, and IBCFS as primary endpoint in breast cancer adjuvant trials.

Funding:

This analysis was supported by the Italian Association for Cancer Research ("Associazione Italiana per la Ricerca sul Cancro", AIRC; IG 2017/20760) and by Italian Ministry of Health-5 × 1000 funds (years 2021-2022).
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