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E-Poster Display

1346P - Comparison of clinical outcomes of patients with METΔex14 NSCLC treated with first-line capmatinib in the GEOMETRY mono-1 study with those of a cohort of real-world patients

Date

17 Sep 2020

Session

E-Poster Display

Topics

Tumour Site

Non-Small Cell Lung Cancer

Presenters

Juergen Wolf

Citation

Annals of Oncology (2020) 31 (suppl_4): S754-S840. 10.1016/annonc/annonc283

Authors

J. Wolf1, J.W. Neal2, A.S. Mansfield3, V. Doban4, H. Kanakamedala5, W. Wu5, A. Joshi4, E. de Jong6, M. Giovannini4, C.S. Baik7

Author affiliations

  • 1 Oncology, University Hospital Cologne, Cologne - Cologne/DE
  • 2 Stanford Cancer Institute, Stanford University, Stanford/US
  • 3 Division Of Medical Oncology, Mayo Clinic, 55905 - Rochester/US
  • 4 Oncology Global Development, Novartis Pharmaceuticals Corporation, 07936 - East Hanover/US
  • 5 Oncology, Genesis Research, Hoboken/US
  • 6 Global Medical Affairs, Novartis Pharma AG, CH-4002 - Basel/CH
  • 7 Medical Oncology, Seattle Cancer Care Alliance, 98109 - Seattle/US

Resources

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Abstract 1346P

Background

Capmatinib (Tabrecta®) is an orally bioavailable, highly potent and selective MET inhibitor (METi). Data from the GEOMETRY mono-1 study, a non-randomized, phase 2 trial of capmatinib in patients (pts) with MET exon 14 skipping mutation (METΔex14) metastatic NSCLC, demonstrated an objective response rate of 68% in treatment-naïve pts.

Methods

This retrospective cohort study examined the clinical characteristics, treatment patterns, and clinical outcomes of a cohort of real-world (RW) pts with METΔex14 NSCLC from the Flatiron Health-Foundation Medicine de-identified Clinico-genomic Database. RW progression-free survival (rwPFS) and overall survival (OS) of pts who received first-line chemotherapy and/or immune checkpoint inhibitor therapy in the metastatic setting were compared with RECIST-based PFS and OS of treatment-naive METΔex14 NSCLC pts who received capmatinib in the GEOMETRY mono-1 trial. An inverse odds weighting approach was used as a method of covariate balancing that estimated the Average Treatment effect on the Treated (ATT).

Results

Baseline demographics and clinical characteristics are in the table. Median (95% CI) PFS was 12.0 (5.5, 20.7) vs median rwPFS of 6.1 (3.4, 8.1) months for the trial and RW pts, respectively; following ATT weighting, median PFS was 12.0 (5.5, 20.7) vs median rwPFS of 6.2 (3.4, 9.1) months, respectively. Median (95% CI) OS was 20.8 (12.4, not reached [NR]) vs 14.8 (7.7, 26.2) months for the trial and RW pts respectively; following ATT weighting, median OS was 20.8 (12.4, NR) vs 20.0 (7.2, NR) months, respectively. A number of RW pts received METi after progression on first line (n=11, pre-weighting; n=8.8, after ATT-weighting) Table: 1346P

Real-world patients
GEOMETRY mono-1 (N = 28) Pre-weighting (N = 41) After ATT-weighting (N = 29.4)
Female sex 18 (64) 19 (46) 19.8 (67)
Age at treatment start, mean (SD) 72.4 (7) 74 (8.5) 72 (8.2)
History of smoking 10 (36) 26 (63) 9.5 (32)
Histology
Squamous cell carcinoma 2 (7) 2 (5) 2.2 (7)
Adenocarcinoma 25 (89) 38 (93) 26.8 (91)
Other 1(4) 1 (2) 0.4 (1)
Brain metastasis 3 (11) 10 (24) 2.3 (8)
ECOG PS at baseline
0 7 (25) 9 (22) 7.3 (25)
1 21 (75) 32 (78) 22.1 (75)
Index treatment group
PD-L1 monotherapy - 6 (15) 2.2 (8)
PD-L1 + chemotherapy - 9 (22) 5.5 (19)
Platinum-doublet chemotherapy - 25 (61) 21.6 (73)
Single-agent chemotherapy - 1 (2) 0.1 (0)
Trial treatment 28 (100) - -

Results are n (%) unless otherwise stated.

.

Conclusions

Based on this retrospective RW comparison, capmatinib confers longer PFS vs treatments available as first-line for advanced METΔex14 NSCLC, before and after matching for differences in baseline and clinical characteristics.

Clinical trial identification

NCT02414139.

Editorial acknowledgement

Martin Wallace, Novartis Pharma AG.

Legal entity responsible for the study

Novartis Pharmaceuticals Corporation.

Funding

Novartis Pharmaceutical Corporation.

Disclosure

J. Wolf: Honoraria (self), Advisory/Consultancy: Amgen; Honoraria (self), Advisory/Consultancy: AstraZeneca; Honoraria (self), Advisory/Consultancy: Blueprint; Honoraria (self), Advisory/Consultancy, Research grant/Funding (institution): Bristol-Myers Squibb; Honoraria (self), Advisory/Consultancy: Boehringer Ingelheim; Honoraria (self), Advisory/Consultancy: Chugai; Honoraria (self), Advisory/Consultancy: Ignyta; Honoraria (self), Advisory/Consultancy, Research grant/Funding (institution): Janssen; Honoraria (self), Advisory/Consultancy: Eli Lilly; Honoraria (self), Advisory/Consultancy: Loxo; Honoraria (self), Advisory/Consultancy: Merck Sharp & Dohme; Honoraria (self), Advisory/Consultancy, Research grant/Funding (institution): Novartis; Honoraria (self), Advisory/Consultancy, Research grant/Funding (institution): Pfizer; Honoraria (self), Advisory/Consultancy, Research grant/Funding (institution): Roche; Honoraria (self), Advisory/Consultancy: Takeda; Honoraria (self), Advisory/Consultancy: Bayer; Honoraria (self), Advisory/Consultancy: Daiichi Sankyo; Honoraria (self), Advisory/Consultancy: Seattle Genetics. J.W. Neal: Honoraria (self): Research to Practice; Honoraria (self): MLI Peerview; Honoraria (self): Medscape; Honoraria (self): Biomedical Learning Institute; Honoraria (self): Prime Oncology; Honoraria (self): Rockpointe; Honoraria (self): CME Matters; Honoraria (self): MJH CME; Advisory/Consultancy: AstraZeneca; Advisory/Consultancy: Genentech/Roche; Advisory/Consultancy: Exelixis; Advisory/Consultancy: Jounce Therapeutics; Advisory/Consultancy: Takeda Pharmaceuticals; Advisory/Consultancy: Eli Lilly and Company; Advisory/Consultancy: Calithera Biosciences; Advisory/Consultancy: Amgen; Advisory/Consultancy: Iovance Biotherapeutics; Research grant/Funding (institution): Genentech/Roch; Research grant/Funding (institution): Merck; Research grant/Funding (institution): Novartis; Research grant/Funding (institution): Boehringer Ingelheim; Research grant/Funding (institution): Exelixis; Research grant/Funding (institution): Nektar Therapeutics; Research grant/Funding (institution): Takeda Pharmaceuticals; Research grant/Funding (institution): Adaptimmune; Research grant/Funding (institution): GSK. A.S. Mansfield: Advisory/Consultancy: Trovagene; Advisory/Consultancy: Genentech; Advisory/Consultancy: Bristol-Myers Squibb; Advisory/Consultancy, Travel/Accommodation/Expenses: AbbVie; Travel/Accommodation/Expenses: Roche; Research grant/Funding (institution): Novartis. V. Doban, A. Joshi, E. de Jong, M. Giovannini: Full/Part-time employment: Novartis. H. Kanakamedala, W-H. Wu: Full/Part-time employment: Genesis Research. C.S. Baik: Advisory/Consultancy, Research grant/Funding (institution): AstraZeneca; Research grant/Funding (institution): Calgene Inc; Research grant/Funding (institution): Novartis; Research grant/Funding (institution): MedImmune; Research grant/Funding (institution): Genentech Inc; Research grant/Funding (institution): Loxo Oncology; Research grant/Funding (institution): Pfizer; Research grant/Funding (institution): Spectrum Pharmaceuticals; Research grant/Funding (institution): BluePrint Medicines; Research grant/Funding (institution): Daiichi Sankyo Inc; Research grant/Funding (institution): Rain Therapeutics; Research grant/Funding (institution): AbbVie; Research grant/Funding (institution): TP Therapeutics; Research grant/Funding (institution): Lilly Oncology.

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