Cargando…
Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer
BACKGROUND: With the identification of new targetable drivers and the recent emergence of novel targeted drugs, using comprehensive genomic profiling in lieu of the routine testing for classic drivers in the clinical care for advanced NSCLC has been increasingly advocated. However, the key assumptio...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485523/ https://www.ncbi.nlm.nih.gov/pubmed/34592968 http://dx.doi.org/10.1186/s12916-021-02089-z |
_version_ | 1784577553413963776 |
---|---|
author | Zhao, Shen Zhang, Zhonghan Zhan, Jianhua Zhao, Xin Chen, Xinru Xiao, Liyun Wu, Kui Ma, Yuxiang Li, Mengzhen Yang, Yunpeng Fang, Wenfeng Zhao, Hongyun Zhang, Li |
author_facet | Zhao, Shen Zhang, Zhonghan Zhan, Jianhua Zhao, Xin Chen, Xinru Xiao, Liyun Wu, Kui Ma, Yuxiang Li, Mengzhen Yang, Yunpeng Fang, Wenfeng Zhao, Hongyun Zhang, Li |
author_sort | Zhao, Shen |
collection | PubMed |
description | BACKGROUND: With the identification of new targetable drivers and the recent emergence of novel targeted drugs, using comprehensive genomic profiling in lieu of the routine testing for classic drivers in the clinical care for advanced NSCLC has been increasingly advocated. However, the key assumption justifying this practice, that comprehensive genomic profiling could lead to effective anticancer therapies and improve patient outcomes, remains unproved. METHODS: Comprehensive genomic profiling was prospectively applied in 1564 advanced NSCLC patients to identify potentially actionable genomic alterations. Patients were assigned to genotype-matched targeted therapies or nonmatched therapies based on the profiling results. Its utility in directing treatments was determined by the proportion of patients receiving genotype-matched targeted therapies and the proportion of patients being enrolled into genotype-matched clinical trials. Its impacts on patient outcomes were assessed by comparing progression-free survival (PFS) and overall survival (OS) between patients who received a genotype-matched and nonmatched therapy. RESULTS: From October 2016 to October 2019, tumor genomic profiles were established in 1166 patients, leading to a matched targeted therapy in 37.7% (n = 440) and a genotype-matched trial enrollment in 20.9% of patients (n = 244). Potentially actionable alterations were detected in 781 patients (67.0%). For these patients, a genomic profiling-directed matched therapy significantly improved PFS (9.0 months vs 4.9 months, P < 0.001) and OS (3.9 years vs 2.5 years, P < 0.001) compared with a nonmatched therapy. Excluding patients with standard targeted therapies, genomic profiling led to a matched targeted therapy in 16.7% (n = 24) and a matched trial enrollment in 11.2% (n = 16) of patients. No PFS (4.7 months vs 4.6 months, P = 0.530) or OS (1.9 years vs 2.4 years, P = 0.238) benefit was observed with the use of genotype-matched targeted therapies in this population. CONCLUSIONS: Comprehensive genomic profiling is of clinical utility in assisting treatment selection, facilitating clinical trial enrollment, and improving patient outcomes in advanced NSCLC. However, for patients carrying alterations without standard-of-care targeted drugs, the interpretation of genomic profiling results should be careful given the low likelihood of benefit from the investigational or off-label use of targeted therapies in this population in the current treatment landscape. TRIAL REGISTRATION: ChiCTR1900027582 (retrospectively registered on 19 November 2019) SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02089-z. |
format | Online Article Text |
id | pubmed-8485523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84855232021-10-04 Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer Zhao, Shen Zhang, Zhonghan Zhan, Jianhua Zhao, Xin Chen, Xinru Xiao, Liyun Wu, Kui Ma, Yuxiang Li, Mengzhen Yang, Yunpeng Fang, Wenfeng Zhao, Hongyun Zhang, Li BMC Med Research Article BACKGROUND: With the identification of new targetable drivers and the recent emergence of novel targeted drugs, using comprehensive genomic profiling in lieu of the routine testing for classic drivers in the clinical care for advanced NSCLC has been increasingly advocated. However, the key assumption justifying this practice, that comprehensive genomic profiling could lead to effective anticancer therapies and improve patient outcomes, remains unproved. METHODS: Comprehensive genomic profiling was prospectively applied in 1564 advanced NSCLC patients to identify potentially actionable genomic alterations. Patients were assigned to genotype-matched targeted therapies or nonmatched therapies based on the profiling results. Its utility in directing treatments was determined by the proportion of patients receiving genotype-matched targeted therapies and the proportion of patients being enrolled into genotype-matched clinical trials. Its impacts on patient outcomes were assessed by comparing progression-free survival (PFS) and overall survival (OS) between patients who received a genotype-matched and nonmatched therapy. RESULTS: From October 2016 to October 2019, tumor genomic profiles were established in 1166 patients, leading to a matched targeted therapy in 37.7% (n = 440) and a genotype-matched trial enrollment in 20.9% of patients (n = 244). Potentially actionable alterations were detected in 781 patients (67.0%). For these patients, a genomic profiling-directed matched therapy significantly improved PFS (9.0 months vs 4.9 months, P < 0.001) and OS (3.9 years vs 2.5 years, P < 0.001) compared with a nonmatched therapy. Excluding patients with standard targeted therapies, genomic profiling led to a matched targeted therapy in 16.7% (n = 24) and a matched trial enrollment in 11.2% (n = 16) of patients. No PFS (4.7 months vs 4.6 months, P = 0.530) or OS (1.9 years vs 2.4 years, P = 0.238) benefit was observed with the use of genotype-matched targeted therapies in this population. CONCLUSIONS: Comprehensive genomic profiling is of clinical utility in assisting treatment selection, facilitating clinical trial enrollment, and improving patient outcomes in advanced NSCLC. However, for patients carrying alterations without standard-of-care targeted drugs, the interpretation of genomic profiling results should be careful given the low likelihood of benefit from the investigational or off-label use of targeted therapies in this population in the current treatment landscape. TRIAL REGISTRATION: ChiCTR1900027582 (retrospectively registered on 19 November 2019) SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-021-02089-z. BioMed Central 2021-10-01 /pmc/articles/PMC8485523/ /pubmed/34592968 http://dx.doi.org/10.1186/s12916-021-02089-z Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Zhao, Shen Zhang, Zhonghan Zhan, Jianhua Zhao, Xin Chen, Xinru Xiao, Liyun Wu, Kui Ma, Yuxiang Li, Mengzhen Yang, Yunpeng Fang, Wenfeng Zhao, Hongyun Zhang, Li Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer |
title | Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer |
title_full | Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer |
title_fullStr | Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer |
title_full_unstemmed | Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer |
title_short | Utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer |
title_sort | utility of comprehensive genomic profiling in directing treatment and improving patient outcomes in advanced non-small cell lung cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8485523/ https://www.ncbi.nlm.nih.gov/pubmed/34592968 http://dx.doi.org/10.1186/s12916-021-02089-z |
work_keys_str_mv | AT zhaoshen utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT zhangzhonghan utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT zhanjianhua utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT zhaoxin utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT chenxinru utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT xiaoliyun utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT wukui utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT mayuxiang utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT limengzhen utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT yangyunpeng utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT fangwenfeng utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT zhaohongyun utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer AT zhangli utilityofcomprehensivegenomicprofilingindirectingtreatmentandimprovingpatientoutcomesinadvancednonsmallcelllungcancer |