Konference: 2015 40th Congress ESMO a 18th ECCO - účast ČR
Kategorie: Zhoubné nádory prsu
Téma: Breast Cancer - Advanced Disease
Číslo abstraktu: 1800
Autoři: Prof. Dr. Christoph C. Zielinski; Prof. Dr. István Lang; Prof. Moshe Inbar; MD Zsuzsanna Kahan, PhD.; MD Richard Greil, Ph.D.; Dr. Semir Beslija; Dr. Salomon M. Stemmer; Dr. Zaneta Zvirbule; Prof. MD Günther Steger; prof. MUDr. Bohuslav Melichar, Ph.D.; Dr. Tadeusz Pienkowski; Dr. Daniela Sirbu; prof. MUDr. Luboš Petruželka, CSc.; Dr. Alexandru Eniu; Bella Nisenbaum; Magdolna V. Dank; Rodica Anghel; Diethelm Messinger, MSc; prof. MD Thomas Brodowicz
Background: The open-label randomised phase III TURANDOT trial aimed to demonstrate non-inferior OS with first-line BEV–CAP vs BEV–PAC for LR/mBC. The interim analysis did not confirm non-inferior OS (stratified hazard ratio [HR] 1.04; 97.5% repeated confidence interval [CI]: −∞ to 1.69) [Lang Lancet Oncol 2013]. Here we report the final OS analysis.
Methods: Patients (pts) with HER2-negative LR/mBC who had received no prior chemotherapy for LR/mBC were randomised to either BEV–PAC (BEV 10mg/kg d1 & 15 + PAC 90mg/m2 d1, 8 & 15 q4w) or BEV–CAP (BEV 15mg/kg d1 + CAP 1000mg/m2 bid d1–14 q3w) until disease progression or unacceptable toxicity. Stratification factors were oestrogen/progesterone receptor (ER/PgR) status, country and menopausal status. The primary objective was to demonstrate non-inferior OS with BEV–CAP vs BEV–PAC in the per-protocol (PP) population by rejecting the null hypothesis of inferiority (HR ≥1.33) using a stratified Cox proportional hazard model. Sensitivity analyses included unstratified Cox model, intent-to-treat (ITT) and subgroup analyses.
Factor | Subgroup, PP population | Median OS, months | Unstratified HR (95%CI) | |
---|---|---|---|---|
BEV–PAC | BEV–CAP | |||
Hormone receptor status | ER and/or PgR positive (n=406) | 30.5 | 27.6 | 1.07 (0.85–1.35) |
Triple negative (n=124) | 24.4 | 17.7 | 1.35 (0.90–2.02) | |
Female menopausal status | Pre (n=95) | 27.6 | 23.0 | 1.75 (1.08–2.84) |
Post (n=431) | 30.3 | 26.1 | 1.04 (0.83–1.29) | |
ECOG performance status | 0 (n=350) | 32.6 | 31.4 | 1.07 (0.83–1.39) |
1/2 (n=181) | 20.9 | 20.5 | 1.23 (0.90–1.69) | |
Age, years | <65 (n=393) | 27.4 | 26.0 | 1.07 (0.85–1.35) |
≥65 (n=138) | 34.5 | 26.5 | 1.30 (0.86–1.95) | |
Visceral metastases | Yes (n=365) | 26.2 | 23.7 | 1.07 (0.85–1.36) |
No (n=166) | 35.4 | 30.9 | 1.20 (0.82–1.75) | |
Prior anthracycline and/or taxane | Yes (n=285) | 28.5 | 24.3 | 1.09 (0.83–1.43) |
No (n=246) | 32.3 | 28.0 | 1.16 (0.86–1.57) | |
Body surface area, m2 | <1.8 (n=322) | 26.9 | 27.2 | 0.94 (0.72–1.22) |
≥1.8 (n=209) | 31.6 | 22.5 | 1.53 (1.11–2.12) |
Results: At the primary final OS analysis in the PP population after deaths in 183 of 266 pts (69%) in the BEV–PAC arm and 201 of 265 (76%) in the BEV–CAP arm (median OS: 30.2 vs 26.1 months, respectively), the stratified HR was 1.02 (97.5% repeated CI: −∞ to 1.26) indicating non-inferiority. However, the unstratified Cox model (HR=1.13; 97.5% repeated CI: −∞ to 1.39) was not supportive. ITT analyses were consistent with the PP results. Subgroup results are shown in the table.
Conclusion: The primary objective was met at the final OS analysis. However, inconsistency between stratified and unstratified OS results and heterogeneity between subgroups is being explored further.
Conflict of interest: Corporate-sponsored Research: R Greil: Roche, Amgen, Celgene. G Steger: Novartis, Roche, Amgen, Teva, Celgene. T Pienkowski: Roche. D Sirbu: PSi, Verum Edu, INC Research. A Eniu: Roche, Astra Zeneca, GSK, Novartis. Other Substantive Relationships: C Zielinski: honoraria – Roche. consultancy and advisory role – Roche. Z Kahan: patents, royalties, other intellectual property – Springer. R Greil: honoraria – Roche, BMS, Celgene. consultancy and advisory role – Roche, BMS, Celgene. travel expenses – Roche. S Beslija: consultancy and advisory role – Roche. expert testimony – Roche, Abvic, Novartis. G Steger: consultancy and advisory role – Roche, Pfizer, Astra-Zeneca, Novartis, Teva, Amgen, Celgene. travel expenses – Roche, Novartis, Amgen, Teva, Celgene. B Melichar: honoraria – Roche, Novartis, GSK. consultancy or advisory role: Roche, Novartis GSK. travel expenses – Roche, Novartis, GSK: T Pienkowski: honoraria – Roche. travel expenses – Roche, Novartis. D Sirbu: consultancy or advisory role: A&D Pharma. A Eniu: honoraria – Roche, Astra Zeneca, Novartis. consultancy or advisory role: Roche, Astra Zeneca, Novartis. B Nisenbaum: travel expenses – Roche, Medison, Teva. D Messinger: employment – IST GmbH. T Brodowicz: consultancy or advisory role – Roche, Bayer, Novartis.
bevacizumab
Capecitabine
Metastatic Breast Cancer
Datum přednesení příspěvku: 27. 9. 2015