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Surrogate endpoints in cancer randomized controlled trials:

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Presentation on theme: "Surrogate endpoints in cancer randomized controlled trials:"— Presentation transcript:

1 Surrogate endpoints in cancer randomized controlled trials:
Application to sarcoma and breast cancer Marion Savina, INSERM U1219 et Institut Bergonié (Bordeaux) Yassine Laghzali, Institut du Cancer de Montpellier Simone Mathoulin-Pélissier, INSERM U1219 et Institut Bergonié (Bordeaux) Carine Bellera, INSERM U1219 et Institut Bergonié (Bordeaux) Sophie Gourgou , Institut du Cancer de Montpellier Journées du club SMAC 2017 –

2 Primary endpoints in phase III Randomized Controlled Trials (RCTs)
Overall Survival (OS) Gold standard in cancer RCTs Easily measurable Objectively defined: time from randomization to death Validated by health authorities Require a large number of patients and long follow-up Journées du club SMAC 2017 –

3 Primary endpoints in phase III Randomized Controlled Trails (RCTs)
Overall Survival (OS) Gold standard in cancer RCTs Easily measurable Objectively defined: time from randomization to death Validated by health authorities Require a large number of patients and long follow-up Alternative endpoints Progression-free survival (PFS) Include events other than death: disease progression, toxicity… Observed earlier and more frequently ↘ number of patients, duration and cost of the trials Require rigorous validation as surrogate endpoint for OS Journées du club SMAC 2017 –

4 Evaluation of surrogate endpoints
Final outcome Treatment effect on the surrogate endpoint Intervention Treatment effect on the final outcome Definition (Biomarker Definition Working Group, 2001) To replace the final outcome At the patient level: the surrogate correlates and predicts the final outcome At the trial level: the treatment effect on the surrogate correlates and predicts the treatment effect on the final outcome Specific to the therapeutic situation: disease, type of treatment, population,… Meta-analysis of RCTs using individual-patient data Journées du club SMAC 2017 –

5 Issues specific to the therapeutic situations
Soft-tissue sarcoma (STS) Rare and heterogeneous disease Median survival (metastatic setting) ~24 months → Difficulty to recruit a large number of patient 1 meta-analysis (Zer et al. 2016) PFS as surrogate for OS Aggregate data Journées du club SMAC 2017 –

6 Issues specific to the therapeutic situations
Soft-tissue sarcoma (STS) Rare and heterogeneous disease Median survival (metastatic setting) ~24 months → Difficulty to recruit a large number of patient 1 meta-analysis (Zer et al. 2016) PFS as surrogate for OS Aggregate data Breast cancer 33% of new cancer cases 5-year survival rate ~90% Longer survival in adjuvant setting → Very long follow-up to observe a tt effect on OS 1 meta-analysis (Ng et al., 2008) DFS as surrogate for OS Aggregate data Journées du club SMAC 2017 –

7 Methods – Meta-analyses of individual-patient data
Identification of eligible RCTs Published or soon-to be published Evaluating at least 1 time-to-event endpoint other than OS Contacts (PI / sponsors) and authorizations Data management / merging Common definition of endpoints (International DATECAN guidelines) Common follow-up duration Statistical analyses Individual-level association Trial-level association Journées du club SMAC 2017 –

8 Methods – Surrogate properties
Individual-level association Association between the endpoints: unit = patient Joint modeling of the candidate surrogate and OS 1-parameter copula function 0 (null association) < ρSpearman < 1 (perfect association) Trial-level association Association between the treatment effects: unit = trial Method 1: Weighted linear regression (WLR) Treatment effects (log(HR)) estimated independently (Cox models) Linear regression model weighted by trial size: 0 < R²WLR < 1 Method 2: 2-step model (2SM) Treatment effects (log(HR)) estimated simultaneously (copula function) Error-in-variable model: 0 < R²2SM < 1 Marion SAVINA – Journées du club SMAC 2017 –

9 Results – Metastatic STS: Data
14 RCTs N = 2 846 Median follow-up: 9.4 months months (median = 35.5 months) Treatment Metastatic setting Chemotherapy-based treatments Journées du club SMAC 2017 –

10 Results – Metastatic STS: Data
14 RCTs 2 RCTs with 2 experimental arms (same drug): combined into 1 experimental arm 1 RCT with 2 distinct analyses (1st line and 2nd line): considered as 2 distinct trials 15 trial units Journées du club SMAC 2017 –

11 Results – Metastatic STS: Endpoints
Endpoints (International DATECAN guidelines): Progression-free survival (PFS): time to progression or death Time-to progression (TTP): time to progression or death from cancer Time-to treatment failure (TTF): time to progression or death from cancer or death from treatment toxicity Censoring 2-year OS 6-month and 1-year surrogate endpoints Journées du club SMAC 2017 –

12 Results – Metastatic STS: 6-months PFS vs 2-year OS
Journées du club SMAC 2017 –

13 Results – Metastatic STS: 6-months PFS vs 2-year OS
Individual-level association: ρSpearman= 0.60 [0.56; 0.63] Journées du club SMAC 2017 –

14 Results – Metastatic STS: 6-months PFS vs 2-year OS
Individual-level association: ρSpearman= 0.60 [0.56; 0.63] Trial-level association: Method 1: Weighted linear regression Method 2: 2-step model Log(HR[6-months PFS]) log(HR[2-year OS]) R²WLR = 0.27 [0.00; 0.55] R²2SM = 0.08 [0.00; 0.98] Journées du club SMAC 2017 –

15 Results – Metastatic STS
Endpoint Follow-up Individual-level association ρSpearman [95%CI] Trial-level association R²WLR [95%CI] R²2SM [95%CI] PFS 6 months 0.60 [0.56; 0.63] 0.27 [0.00; 0.55] 0.08 [0.00; 0.98] 12 months 0.62 [0.59; 0.65] 0.33 [0.00; 0.59] 0.00 [0.00; 0.16] TTP 0.57 [0.54; 0.60] 0.25 [0.00; 0.54] 0.17 [0.00; 1.00] 0.60 [0.57; 0.63] 0.30 [0.00; 0.57] 0.01 [0.00; 0.41] TTF 0.58 [0.54; 0.61] 0.26 [0.00; 0.54] 0.16 [0.00; 1.00] 0.61 [0.58; 0.63] 0.31 [0.00; 0.58] 0.01 [0.00; 0.39] Journées du club SMAC 2017 –

16 Results – Adjuvant breast cancer: Data
5 RCTs N = Median follow-up: 53 months - 96 months (median = 74 months) Treatment Adjuvant setting Chemotherapy alone or in combination with hormonotherapy Journées du club SMAC 2017 –

17 Results – Adjuvant breast cancer: Data
5 RCTs → subdivided into groups of centers (trial unit) ≥ 200 patients / treatment arm for each trial unit ≥ 2 deaths / treatment arm for each trial unit 21 trial units Journées du club SMAC 2017 –

18 Results – Adjuvant breast cancer: Endpoints
Endpoints (International DATECAN guidelines): Relapse-free survival (RFS) Invasive disease-free survival (iDFS) Locoregional relapse-free survival (LRFS) Distant disease-free survival (DDFS) Death from any cause  Local events  Regional events  Metastatic events Contralateral breast cancer Second cancer Ipsilateral DCIS Contralateral DCIS RFS X  X iDFS LRFS DDFS Journées du club SMAC 2017 –

19 Results – Adjuvant breast cancer: Endpoints
Endpoints (International DATECAN guidelines): Relapse-free survival (RFS) Invasive disease-free survival (iDFS) Locoregional relapse-free survival (LRFS) Distant disease-free survival (DDFS) Censoring 7-year OS 2-year and 3-year surrogate endpoints Journées du club SMAC 2017 –

20 Results – Adjuvant breast cancer: 2-year RFS vs 7-year OS
Journées du club SMAC 2017 –

21 Results – Adjuvant breast cancer: 2-year RFS vs 7-year OS
Individual-level association: ρSpearman= 0.98 [0.98; 0.99] Journées du club SMAC 2017 –

22 Results – Adjuvant breast cancer: 2-year RFS vs 7-year OS
Individual-level association: ρSpearman= 0.98 [0.98; 0.99] Trial-level association: Method 1: Weighted linear regression Method 2: 2-step model Log(HR[2-year RFS]) log(HR[7-year OS]) R²WLR = 0.71 [0.41; 0.82] R²2SM = 0.72 [0.24; 1.00] Journées du club SMAC 2017 –

23 Results – Advanced breast cancer
Endpoint Follow-up Individual-level association ρSpearman [95%CI] Trial-level association R²WLR [95%CI] R²2SM [95%CI] RFS 2 years 0.98 [0.98; 0.99] 0.75 [0.48; 0.84] 0.72 [0.24; 1.00] 3 years 0.99 [0.98; 0.99] 0.71 [0.41; 0.82] 0.85 [0.33; 1.00] iDFS* 0.98 [0.98; 0.98] 0.78 [0.48; 0.86] 0.87 [0.46; 1.00] 0.72 [0.37; 0.83] 0.72 [0.21; 1.00] LRFS 0.73 [0.45; 0.83] 0.55** [0.27; 0.84] 0.76 [0.51; 0.85] 0.74** [0.55; 0.93] DDFS 0.99 [0.99; 0.99] 0.66 [0.34; 0.79] 0.76 [0.37; 1.00] 0.70 [0.40; 0.81] 0.82 [0.51; 1.00] * Estimated on 4 trials only (N = 9922) ** R² unadjusted on measurement errors Journées du club SMAC 2017 –

24 Conclusion Metastatic STS Breast cancer
Individual-level association: similar and moderate for the 3 endpoints Trial-level association: low with very wide confidence intervals that include 0 → OS should remain the primary endpoint for RCTs in metastatic STS Breast cancer Individual-level association: very high for the 4 endpoints Trial-level association: high but wide confidence intervals → Promising first results → Would require further evaluation with a larger dataset Journées du club SMAC 2017 –

25 Discussion Statistical methodology: 2-step model
Most recognized and statistically rigorous approach Require large amount of data to provide precise estimations Need for recommendations: Statistical methodology Surrogacy measures Validated grid to interpret the results Journées du club SMAC 2017 –

26 Marion SAVINA:

27 Back-up slides

28 Metastatic STS: Data Study Inclusion period N Treatment line
Control arm Experimental arm Median follow-up 62091 ≥ 2011 133 1st line Doxorubicin Trabectedin 9.4 months 62072 369 2nd to 5th line Placebo Pazopanib 14.6 months Taxogem* 70 2nd line Gemcitabine Gemcitabine + Docetaxel + Lenograstime 32.5 months 62061 118 Brostallicin 21.3 months 62012 455 Intensified Doxorubicin + Ifosfamide 56.4 months GEIS9 132 22.5 months Palsar 2 87 MAID** MAID** + MICE** 55.7 months 62971 326 Ifosfamide 51.7 months 62962 ≥ 1997 95 Doxorubicin pegylated liposomal 35.2 months 62941 ≥ 1995 86 1st and 2nd line Docetaxel 35.9 months Palsar 1 145 Intensified MAID** 93.0 months 62912 78 2nd-line 30.6 months 103 35.5 months 62903 315 Doxorubicin + Ifosfamide Doxorubicin + Ifosfamide + GM-GSF** 91.4 months 62901 ≥ 1991 334 Epirubicin 50.2 months * Only patients with leiomyosarcoma included ** MAID: Doxorubicin, Ifosfamide and Dacarbazine; MICE: Mesna, Ifosfamide, Carboplatin and Etoposide; GM-GSF: Recombinant human granulocyte-macrophage colony-stimulating factor.

29 Adjuvant breast cancer: Data
Study Inclusion period N Control arm Experimental arm Median follow-up EORTC-10901 1724 6 cycles of adjuvant combination chemotherapy + … 78.59 months Patient monitoring Tamoxifen PACS-01 1999 FEC* FEC* + Docetaxel 63.47 months HERA 1999 - 5081 Herceptin (1 year) Herceptin (2 year) 95.80 months PACS-04 3010 Epirubicin + Docetaxel 53.36 months PACS-05 1515 FEC* (6 cycles) FEC* (4 cycles) 73.69 months * FEC: Fluorouracile + Epirubicine + Cyclophosphamide

30 Results – Advanced breast cancer
Endpoint Follow-up Individual-level association ρSpearman [95%CI] Trial-level association R²WLR [95%CI] R²2SM [95%CI] RFS 2 years 0.98 [0.98; 0.99] 0.69 [0.00; 0.85] 0.63 [0.02; 1.00] 3 years 0.99 [0.98; 0.99] 0.63 [0.00; 0.82] 0.63 [0.13; 1.00] iDFS* 0.98 [0.98; 0.98] 0.74 [0.00; 0.87] 0.86 [0.61; 1.00]** 0.65 [0.00; 0.83] 0.66 [0.00; 1.00] LRFS 0.64 [0.00; 0.83] 0.64 [0.13; 1.00]** 0.91 [0.14; 0.95] 0.96 [0.88; 1.00]** DDFS 0.99 [0.99; 0.99] 0.54 [0.00; 0.78] 0.45 [0.00; 1.00] 0.61 [0.00; 0.81] 0.54 [0.00; 1.00] * Estimated on 4 trials only (N = 9922) ** R² unadjusted on measurement errors Journées du club SMAC 2017 –


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