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TRK Fusion Cancer: Patient Characteristics and Survival Analysis in the Real-World Setting
BACKGROUND: Neurotrophic tyrosine receptor kinase (NTRK) gene fusions are oncogenic drivers in various tumor types. While NTRK gene fusions are predictive of benefit from tropomyosin receptor kinase inhibitors regardless of tumor type, the prognostic significance of NTRK gene fusions in a pan-tumor...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105201/ https://www.ncbi.nlm.nih.gov/pubmed/33893941 http://dx.doi.org/10.1007/s11523-021-00815-4 |
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author | Bazhenova, Lyudmila Lokker, Andrew Snider, Jeremy Castellanos, Emily Fisher, Virginia Fellous, Marc Nanda, Shivani Zong, Jihong Keating, Karen Jiao, Xiaolong |
author_facet | Bazhenova, Lyudmila Lokker, Andrew Snider, Jeremy Castellanos, Emily Fisher, Virginia Fellous, Marc Nanda, Shivani Zong, Jihong Keating, Karen Jiao, Xiaolong |
author_sort | Bazhenova, Lyudmila |
collection | PubMed |
description | BACKGROUND: Neurotrophic tyrosine receptor kinase (NTRK) gene fusions are oncogenic drivers in various tumor types. While NTRK gene fusions are predictive of benefit from tropomyosin receptor kinase inhibitors regardless of tumor type, the prognostic significance of NTRK gene fusions in a pan-tumor setting remains unclear. OBJECTIVE: This study evaluated the characteristics and prognosis of tropomyosin receptor kinase fusion cancer in the real-world setting. PATIENTS AND METHODS: This retrospective study used a de-identified clinico-genomic database and included patients with cancer who had comprehensive genomic profiling between January 2011 and July 2018. Patients were classified as having cancer with NTRK gene fusions or NTRK wild-type genes. Patients were matched with a 1:4 ratio (NTRK fusion:NTRK wild-type) using the Mahalanobis distance method on demographic and clinical characteristics, including age and Eastern Cooperative Oncology Group performance status. Descriptive analysis of clinical and molecular characteristics was conducted. Kaplan–Meier estimator and Cox regression were used for overall survival analysis. RESULTS: Median overall survival was 12.5 months (95% confidence interval 9.5–not estimable) and 16.5 months (95% confidence interval 12.5–22.5) in the NTRK gene fusion (n = 27) and NTRK wild-type cohorts (n = 107), respectively (hazard ratio 1.44; 95% confidence interval 0.61–3.37; p = 0.648). Co-occurrence of select targetable biomarkers including ALK, BRAF, ERBB2, EGFR, ROS1, and KRAS was lower in cancers with NTRK gene fusions than in NTRK wild-type cancers. CONCLUSIONS: Although the hazard ratio for overall survival suggested a higher risk of death for patients with NTRK gene fusions, the difference was not statistically significant. Co-occurrence of NTRK gene fusions and other actionable biomarkers was uncommon. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11523-021-00815-4. |
format | Online Article Text |
id | pubmed-8105201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-81052012021-05-11 TRK Fusion Cancer: Patient Characteristics and Survival Analysis in the Real-World Setting Bazhenova, Lyudmila Lokker, Andrew Snider, Jeremy Castellanos, Emily Fisher, Virginia Fellous, Marc Nanda, Shivani Zong, Jihong Keating, Karen Jiao, Xiaolong Target Oncol Original Research Article BACKGROUND: Neurotrophic tyrosine receptor kinase (NTRK) gene fusions are oncogenic drivers in various tumor types. While NTRK gene fusions are predictive of benefit from tropomyosin receptor kinase inhibitors regardless of tumor type, the prognostic significance of NTRK gene fusions in a pan-tumor setting remains unclear. OBJECTIVE: This study evaluated the characteristics and prognosis of tropomyosin receptor kinase fusion cancer in the real-world setting. PATIENTS AND METHODS: This retrospective study used a de-identified clinico-genomic database and included patients with cancer who had comprehensive genomic profiling between January 2011 and July 2018. Patients were classified as having cancer with NTRK gene fusions or NTRK wild-type genes. Patients were matched with a 1:4 ratio (NTRK fusion:NTRK wild-type) using the Mahalanobis distance method on demographic and clinical characteristics, including age and Eastern Cooperative Oncology Group performance status. Descriptive analysis of clinical and molecular characteristics was conducted. Kaplan–Meier estimator and Cox regression were used for overall survival analysis. RESULTS: Median overall survival was 12.5 months (95% confidence interval 9.5–not estimable) and 16.5 months (95% confidence interval 12.5–22.5) in the NTRK gene fusion (n = 27) and NTRK wild-type cohorts (n = 107), respectively (hazard ratio 1.44; 95% confidence interval 0.61–3.37; p = 0.648). Co-occurrence of select targetable biomarkers including ALK, BRAF, ERBB2, EGFR, ROS1, and KRAS was lower in cancers with NTRK gene fusions than in NTRK wild-type cancers. CONCLUSIONS: Although the hazard ratio for overall survival suggested a higher risk of death for patients with NTRK gene fusions, the difference was not statistically significant. Co-occurrence of NTRK gene fusions and other actionable biomarkers was uncommon. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11523-021-00815-4. Springer International Publishing 2021-04-24 2021 /pmc/articles/PMC8105201/ /pubmed/33893941 http://dx.doi.org/10.1007/s11523-021-00815-4 Text en © The Author(s) 2021 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 Bazhenova, Lyudmila Lokker, Andrew Snider, Jeremy Castellanos, Emily Fisher, Virginia Fellous, Marc Nanda, Shivani Zong, Jihong Keating, Karen Jiao, Xiaolong TRK Fusion Cancer: Patient Characteristics and Survival Analysis in the Real-World Setting |
title | TRK Fusion Cancer: Patient Characteristics and Survival Analysis in the Real-World Setting |
title_full | TRK Fusion Cancer: Patient Characteristics and Survival Analysis in the Real-World Setting |
title_fullStr | TRK Fusion Cancer: Patient Characteristics and Survival Analysis in the Real-World Setting |
title_full_unstemmed | TRK Fusion Cancer: Patient Characteristics and Survival Analysis in the Real-World Setting |
title_short | TRK Fusion Cancer: Patient Characteristics and Survival Analysis in the Real-World Setting |
title_sort | trk fusion cancer: patient characteristics and survival analysis in the real-world setting |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8105201/ https://www.ncbi.nlm.nih.gov/pubmed/33893941 http://dx.doi.org/10.1007/s11523-021-00815-4 |
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