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Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm

BACKGROUND: Complex genomic profiling (CGP) has transformed cancer treatment decision making, yet there is a lack of robust and quantifiable evidence for how utilisation of CGP improves patient outcomes. OBJECTIVE: This study evaluated cohort level clinical effectiveness of CGP to improve overall su...

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Autores principales: O’Haire, Sophie, Degeling, Koen, Franchini, Fanny, Tran, Ben, Luen, Stephen J, Gaff, Clara, Smith, Kortnye, Fox, Stephen, Desai, Jayesh, IJzerman, Maarten
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512745/
https://www.ncbi.nlm.nih.gov/pubmed/36063280
http://dx.doi.org/10.1007/s11523-022-00910-0
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author O’Haire, Sophie
Degeling, Koen
Franchini, Fanny
Tran, Ben
Luen, Stephen J
Gaff, Clara
Smith, Kortnye
Fox, Stephen
Desai, Jayesh
IJzerman, Maarten
author_facet O’Haire, Sophie
Degeling, Koen
Franchini, Fanny
Tran, Ben
Luen, Stephen J
Gaff, Clara
Smith, Kortnye
Fox, Stephen
Desai, Jayesh
IJzerman, Maarten
author_sort O’Haire, Sophie
collection PubMed
description BACKGROUND: Complex genomic profiling (CGP) has transformed cancer treatment decision making, yet there is a lack of robust and quantifiable evidence for how utilisation of CGP improves patient outcomes. OBJECTIVE: This study evaluated cohort level clinical effectiveness of CGP to improve overall survival (OS) in real-world advanced cancer patients using a registry-based matched control population. PATIENTS AND METHODS: Two cohorts of advanced and refractory cancer patients were seen in consecutive series for early phase trial enrolment consideration. The first cohort (CGP group) accessed tumour profiling via a research study; while the second cohort that followed was not profiled. Overall survival between cohorts was compared using Kaplan-Meier curves and Cox proportional hazard models. Potential confounding was analysed and adjusted for using stabilised weights based on propensity scores. RESULTS: Within the CGP group, 25 (17.6%) patients received treatment informed by CGP results and this subgroup had significantly improved survival compared with CGP patients in whom results did not impact their treatment (unadjusted HR = 0.44, (0.22–0.88), p = 0.02). However, when comparing the entire CGP cohort with the No CGP cohort, no significant survival benefit was evident with adjusted median OS for CGP of 13.5 months (9.2–17.0) compared with 11.0 (9.2–17.4) for No CGP (adjusted HR = 0.92, (0.65–1.30), p = 0.63). CONCLUSIONS: This study utilised real-world data to simulate a control arm and quantify the clinical effectiveness of genomic testing. The magnitude of survival benefit for patients who had CGP result-led treatments was insufficient to drive an overall survival gain for the entire tested population. Translation of CGP into clinics requires strategies to ensure higher rates of tested patients obtain clinical benefit to deliver on the value proposition of CGP in an advanced cancer population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11523-022-00910-0.
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spelling pubmed-95127452022-09-28 Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm O’Haire, Sophie Degeling, Koen Franchini, Fanny Tran, Ben Luen, Stephen J Gaff, Clara Smith, Kortnye Fox, Stephen Desai, Jayesh IJzerman, Maarten Target Oncol Original Research Article BACKGROUND: Complex genomic profiling (CGP) has transformed cancer treatment decision making, yet there is a lack of robust and quantifiable evidence for how utilisation of CGP improves patient outcomes. OBJECTIVE: This study evaluated cohort level clinical effectiveness of CGP to improve overall survival (OS) in real-world advanced cancer patients using a registry-based matched control population. PATIENTS AND METHODS: Two cohorts of advanced and refractory cancer patients were seen in consecutive series for early phase trial enrolment consideration. The first cohort (CGP group) accessed tumour profiling via a research study; while the second cohort that followed was not profiled. Overall survival between cohorts was compared using Kaplan-Meier curves and Cox proportional hazard models. Potential confounding was analysed and adjusted for using stabilised weights based on propensity scores. RESULTS: Within the CGP group, 25 (17.6%) patients received treatment informed by CGP results and this subgroup had significantly improved survival compared with CGP patients in whom results did not impact their treatment (unadjusted HR = 0.44, (0.22–0.88), p = 0.02). However, when comparing the entire CGP cohort with the No CGP cohort, no significant survival benefit was evident with adjusted median OS for CGP of 13.5 months (9.2–17.0) compared with 11.0 (9.2–17.4) for No CGP (adjusted HR = 0.92, (0.65–1.30), p = 0.63). CONCLUSIONS: This study utilised real-world data to simulate a control arm and quantify the clinical effectiveness of genomic testing. The magnitude of survival benefit for patients who had CGP result-led treatments was insufficient to drive an overall survival gain for the entire tested population. Translation of CGP into clinics requires strategies to ensure higher rates of tested patients obtain clinical benefit to deliver on the value proposition of CGP in an advanced cancer population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11523-022-00910-0. Springer International Publishing 2022-09-05 2022 /pmc/articles/PMC9512745/ /pubmed/36063280 http://dx.doi.org/10.1007/s11523-022-00910-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc/4.0/Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research Article
O’Haire, Sophie
Degeling, Koen
Franchini, Fanny
Tran, Ben
Luen, Stephen J
Gaff, Clara
Smith, Kortnye
Fox, Stephen
Desai, Jayesh
IJzerman, Maarten
Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm
title Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm
title_full Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm
title_fullStr Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm
title_full_unstemmed Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm
title_short Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm
title_sort comparing survival outcomes for advanced cancer patients who received complex genomic profiling using a synthetic control arm
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9512745/
https://www.ncbi.nlm.nih.gov/pubmed/36063280
http://dx.doi.org/10.1007/s11523-022-00910-0
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