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Survival Analysis in Patients with Metastatic Merkel Cell Carcinoma Treated with Avelumab
INTRODUCTION: Complex underlying risk functions associated with immuno-oncology treatments have led to exploration of different methods (parametric survival, spline, landmark, and cure-fraction models) to estimate long-term survival outcomes. The objective of this study was to examine differences in...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Healthcare
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822847/ https://www.ncbi.nlm.nih.gov/pubmed/31350728 http://dx.doi.org/10.1007/s12325-019-01034-0 |
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author | Lanitis, Tereza Proskorovsky, Irina Ambavane, Apoorva Hunger, Matthias Zheng, Ying Bharmal, Murtuza Phatak, Hemant |
author_facet | Lanitis, Tereza Proskorovsky, Irina Ambavane, Apoorva Hunger, Matthias Zheng, Ying Bharmal, Murtuza Phatak, Hemant |
author_sort | Lanitis, Tereza |
collection | PubMed |
description | INTRODUCTION: Complex underlying risk functions associated with immuno-oncology treatments have led to exploration of different methods (parametric survival, spline, landmark, and cure-fraction models) to estimate long-term survival outcomes. The objective of this study was to examine differences in estimated short- and long-term survival in previously treated metastatic Merkel cell carcinoma (mMCC) patients receiving avelumab, when using alternative extrapolation approaches. METHODS: Efficacy data from the phase 2 JAVELIN Merkel 200 trial (part A) with at least 12 months of follow-up were analyzed. Standard parametric survival analyses and analyses of overall survival (OS) as a function of surrogate outcomes comprised of response (landmark analyses) and progression-free survival plus post-progression survival (PFS + PPS) were used to project OS. Overall survival throughout lifetime was projected and compared with the observed OS data with at least 24 months of follow-up. RESULTS: Estimated OS from all three approaches provided a good fit to the observed OS curve from at least 12 months of follow-up. However, performance compared with OS data from at least 24 months showed that the landmark approach followed by PFS + PPS provided a better fit to the data as compared to standard parametric analysis. Mean life expectancy estimated with avelumab was 2.48 years with best-fitting parametric function (a log-normal distribution), 3.15 years with the landmark approach, and 3.54 years with PFS + PPS. CONCLUSION: Although standard parametric survival analysis may provide a good fit to short-term survival, it appears to underestimate the long-term survival benefits associated with avelumab in mMCC. Extrapolations based on surrogate outcomes of response or progression predict OS outcomes from longer follow-up better and appear to provide more clinically plausible projections. FUNDING: EMD Serono Inc, Rockland, MA, a business of Merck KGaA, Darmstadt, Germany. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12325-019-01034-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6822847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Healthcare |
record_format | MEDLINE/PubMed |
spelling | pubmed-68228472019-11-06 Survival Analysis in Patients with Metastatic Merkel Cell Carcinoma Treated with Avelumab Lanitis, Tereza Proskorovsky, Irina Ambavane, Apoorva Hunger, Matthias Zheng, Ying Bharmal, Murtuza Phatak, Hemant Adv Ther Original Research INTRODUCTION: Complex underlying risk functions associated with immuno-oncology treatments have led to exploration of different methods (parametric survival, spline, landmark, and cure-fraction models) to estimate long-term survival outcomes. The objective of this study was to examine differences in estimated short- and long-term survival in previously treated metastatic Merkel cell carcinoma (mMCC) patients receiving avelumab, when using alternative extrapolation approaches. METHODS: Efficacy data from the phase 2 JAVELIN Merkel 200 trial (part A) with at least 12 months of follow-up were analyzed. Standard parametric survival analyses and analyses of overall survival (OS) as a function of surrogate outcomes comprised of response (landmark analyses) and progression-free survival plus post-progression survival (PFS + PPS) were used to project OS. Overall survival throughout lifetime was projected and compared with the observed OS data with at least 24 months of follow-up. RESULTS: Estimated OS from all three approaches provided a good fit to the observed OS curve from at least 12 months of follow-up. However, performance compared with OS data from at least 24 months showed that the landmark approach followed by PFS + PPS provided a better fit to the data as compared to standard parametric analysis. Mean life expectancy estimated with avelumab was 2.48 years with best-fitting parametric function (a log-normal distribution), 3.15 years with the landmark approach, and 3.54 years with PFS + PPS. CONCLUSION: Although standard parametric survival analysis may provide a good fit to short-term survival, it appears to underestimate the long-term survival benefits associated with avelumab in mMCC. Extrapolations based on surrogate outcomes of response or progression predict OS outcomes from longer follow-up better and appear to provide more clinically plausible projections. FUNDING: EMD Serono Inc, Rockland, MA, a business of Merck KGaA, Darmstadt, Germany. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s12325-019-01034-0) contains supplementary material, which is available to authorized users. Springer Healthcare 2019-07-26 2019 /pmc/articles/PMC6822847/ /pubmed/31350728 http://dx.doi.org/10.1007/s12325-019-01034-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Original Research Lanitis, Tereza Proskorovsky, Irina Ambavane, Apoorva Hunger, Matthias Zheng, Ying Bharmal, Murtuza Phatak, Hemant Survival Analysis in Patients with Metastatic Merkel Cell Carcinoma Treated with Avelumab |
title | Survival Analysis in Patients with Metastatic Merkel Cell Carcinoma Treated with Avelumab |
title_full | Survival Analysis in Patients with Metastatic Merkel Cell Carcinoma Treated with Avelumab |
title_fullStr | Survival Analysis in Patients with Metastatic Merkel Cell Carcinoma Treated with Avelumab |
title_full_unstemmed | Survival Analysis in Patients with Metastatic Merkel Cell Carcinoma Treated with Avelumab |
title_short | Survival Analysis in Patients with Metastatic Merkel Cell Carcinoma Treated with Avelumab |
title_sort | survival analysis in patients with metastatic merkel cell carcinoma treated with avelumab |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6822847/ https://www.ncbi.nlm.nih.gov/pubmed/31350728 http://dx.doi.org/10.1007/s12325-019-01034-0 |
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