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Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System

BACKGROUND: The authors intend to compare the effects of each targeted therapy (TT) in the treatment of patients with metastatic renal cell carcinoma (mRCC) using big data based on the Korean National Health Insurance System (NHIS) and determine the optimal treatment sequence. METHODS: Data on the m...

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Autores principales: Kang, Dong Hyuk, Lee, Joo Yong, Lee, Yunhee, Ha, U-Syn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228030/
https://www.ncbi.nlm.nih.gov/pubmed/37254112
http://dx.doi.org/10.1186/s12885-023-10991-3
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author Kang, Dong Hyuk
Lee, Joo Yong
Lee, Yunhee
Ha, U-Syn
author_facet Kang, Dong Hyuk
Lee, Joo Yong
Lee, Yunhee
Ha, U-Syn
author_sort Kang, Dong Hyuk
collection PubMed
description BACKGROUND: The authors intend to compare the effects of each targeted therapy (TT) in the treatment of patients with metastatic renal cell carcinoma (mRCC) using big data based on the Korean National Health Insurance System (NHIS) and determine the optimal treatment sequence. METHODS: Data on the medical use of patients with kidney cancer were obtained from the NHIS database from January 1, 2002, to December 31, 2020. Patient variables included age, sex, income level, place of residence, prescribing department, and duration from diagnosis to the prescription date. The primary outcome was overall survival (OS) for each drug and sequencing. We performed propensity score matching (PSM) according to age, sex, and Charlson Comorbidity Index based on the primary TTs. RESULTS: After 1:1 PSM, the sunitinib (SUN) (n = 1,214) and pazopanib (PAZ) (n = 1,214) groups showed a well-matched distribution across the entire cohort. In the primary treatment group, PAZ had lower OS than SUN (HR, 1.167; p = 0.0015). In the secondary treatment group, axitinib (AXI) had more favorable OS than cabozantinib (CAB) (HR, 0.735; p = 0.0118), and everolimus had more adverse outcomes than CAB (HR, 1.544; p < 0.0001). In the first to second TT sequencing, SUN–AXI had the highest OS; however, there was no statistically significant difference when compared with PAZ–AXI, which was the second highest (HR, 0.876; p = 0.3312). The 5-year survival rate was calculated in the following order: SUN–AXI (51.44%), PAZ–AXI (47.12%), SUN–CAB (43.59%), and PAZ–CAB (34.28%). When the four sequencing methods were compared, only SUN–AXI versus PAZ–CAB (p = 0.003) and PAZ–AXI versus PAZ–CAB (p = 0.017) were statistically significant. CONCLUSIONS: In a population-based RWD analysis of Korean patients with mRCC, SUN-AXI sequencing was shown to be the most effective among the first to second TT sequencing methods in treatment, with a relative survival advantage over other sequencing combinations. To further support the results of this study, risk-stratified analysis is needed.
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spelling pubmed-102280302023-05-31 Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System Kang, Dong Hyuk Lee, Joo Yong Lee, Yunhee Ha, U-Syn BMC Cancer Research BACKGROUND: The authors intend to compare the effects of each targeted therapy (TT) in the treatment of patients with metastatic renal cell carcinoma (mRCC) using big data based on the Korean National Health Insurance System (NHIS) and determine the optimal treatment sequence. METHODS: Data on the medical use of patients with kidney cancer were obtained from the NHIS database from January 1, 2002, to December 31, 2020. Patient variables included age, sex, income level, place of residence, prescribing department, and duration from diagnosis to the prescription date. The primary outcome was overall survival (OS) for each drug and sequencing. We performed propensity score matching (PSM) according to age, sex, and Charlson Comorbidity Index based on the primary TTs. RESULTS: After 1:1 PSM, the sunitinib (SUN) (n = 1,214) and pazopanib (PAZ) (n = 1,214) groups showed a well-matched distribution across the entire cohort. In the primary treatment group, PAZ had lower OS than SUN (HR, 1.167; p = 0.0015). In the secondary treatment group, axitinib (AXI) had more favorable OS than cabozantinib (CAB) (HR, 0.735; p = 0.0118), and everolimus had more adverse outcomes than CAB (HR, 1.544; p < 0.0001). In the first to second TT sequencing, SUN–AXI had the highest OS; however, there was no statistically significant difference when compared with PAZ–AXI, which was the second highest (HR, 0.876; p = 0.3312). The 5-year survival rate was calculated in the following order: SUN–AXI (51.44%), PAZ–AXI (47.12%), SUN–CAB (43.59%), and PAZ–CAB (34.28%). When the four sequencing methods were compared, only SUN–AXI versus PAZ–CAB (p = 0.003) and PAZ–AXI versus PAZ–CAB (p = 0.017) were statistically significant. CONCLUSIONS: In a population-based RWD analysis of Korean patients with mRCC, SUN-AXI sequencing was shown to be the most effective among the first to second TT sequencing methods in treatment, with a relative survival advantage over other sequencing combinations. To further support the results of this study, risk-stratified analysis is needed. BioMed Central 2023-05-30 /pmc/articles/PMC10228030/ /pubmed/37254112 http://dx.doi.org/10.1186/s12885-023-10991-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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
Kang, Dong Hyuk
Lee, Joo Yong
Lee, Yunhee
Ha, U-Syn
Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System
title Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System
title_full Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System
title_fullStr Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System
title_full_unstemmed Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System
title_short Optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the Korean National Health Insurance System
title_sort optimal sequencing of the first- and second-line target therapies in metastatic renal cell carcinoma: based on nationally representative data analysis from the korean national health insurance system
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228030/
https://www.ncbi.nlm.nih.gov/pubmed/37254112
http://dx.doi.org/10.1186/s12885-023-10991-3
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