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
Abstract 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 o...
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| Format: | Article |
| Language: | English |
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BMC
2023-05-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-023-10991-3 |
| _version_ | 1797811416318607360 |
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| author | Dong Hyuk Kang Joo Yong Lee Yunhee Lee U-Syn Ha |
| author_facet | Dong Hyuk Kang Joo Yong Lee Yunhee Lee U-Syn Ha |
| author_sort | Dong Hyuk Kang |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-13T07:23:19Z |
| format | Article |
| id | doaj.art-80501d8af65a4ea2a9ed4a7b9c6e2092 |
| institution | Directory Open Access Journal |
| issn | 1471-2407 |
| language | English |
| last_indexed | 2024-03-13T07:23:19Z |
| publishDate | 2023-05-01 |
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| series | BMC Cancer |
| spelling | doaj.art-80501d8af65a4ea2a9ed4a7b9c6e20922023-06-04T11:31:18ZengBMCBMC Cancer1471-24072023-05-0123111310.1186/s12885-023-10991-3Optimal 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 SystemDong Hyuk Kang0Joo Yong Lee1Yunhee Lee2U-Syn Ha3Department of Urology, Inha University College of MedicineDepartment of Urology, Severance Hospital, Urological Science Institute, Yonsei University College of MedicineDepartment of Urology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of KoreaDepartment of Urology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of KoreaAbstract 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.https://doi.org/10.1186/s12885-023-10991-3Renal cell carcinomaSunitinibPazopanibAxitinibCabozantinib |
| spellingShingle | Dong Hyuk Kang Joo Yong Lee Yunhee Lee U-Syn Ha 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 BMC Cancer Renal cell carcinoma Sunitinib Pazopanib Axitinib Cabozantinib |
| 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 | Renal cell carcinoma Sunitinib Pazopanib Axitinib Cabozantinib |
| url | https://doi.org/10.1186/s12885-023-10991-3 |
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