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Lin D, Lai P, Zhang W, Lin J, Wang H, Hu X, Guo J. Development and validation of a nomogram to evaluate the therapeutic effects of second-line axitinib in patients with metastatic renal cell carcinoma. Front Oncol 2023; 13:1071816. [PMID: 36874101 PMCID: PMC9975492 DOI: 10.3389/fonc.2023.1071816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 01/31/2023] [Indexed: 02/17/2023] Open
Abstract
The unpredictable biological behavior and tumor heterogeneity of metastatic renal cell carcinoma (mRCC) cause significant differences in axitinib efficacy. The aim of this study is to establish a predictive model based on clinicopathological features to screen patients with mRCC who can benefit from axitinib treatment. A total of 44 patients with mRCC were enrolled and divided into the training set and validation set. In the training set, variables related with the therapeutic efficacy of second-line treatment with axitinib were screened through univariate Cox proportional hazards regression and least absolute shrinkage and selection operator analyses. A predictive model was subsequently established to assess the therapeutic efficacy of second-line treatment with axitinib. The predictive performance of the model was evaluated by analyzing the concordance index and time-dependent receiver operating characteristic, calibration, and decision curves. The accuracy of the model was similarly verified in the validation set. The International Metastatic RCC Database Consortium (IMDC) grade, albumin, calcium, and adverse reaction grade were identified as the best predictors of the efficacy of second-line axitinib treatment. Adverse reaction grade was an independent prognostic index that correlated with the therapeutic effects of second-line treatment with axitinib. Concordance index value of the model was 0.84. Area under curve values for the prediction of 3-, 6-, and 12-month progression-free survival after axitinib treatment were 0.975, 0.909, and 0.911, respectively. The calibration curve showed a good fit between the predicted and actual probabilities of progression-free survival at 3, 6, and 12 months. The results were verified in the validation set. Decision curve analysis revealed that the nomogram based on a combination of four clinical parameters (IMDC grade, albumin, calcium, and adverse reaction grade) had more net benefit than adverse reaction grade alone. Our predictive model can be useful for clinicians to identify patients with mRCC who can benefit from second-line treatment with axitinib.
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Affiliation(s)
- Dengqiang Lin
- Department of Urology, Zhongshan Hospital (Xiamen Branch), Fudan University, Xiamen, China
| | - Peng Lai
- Department of Urology, Zhongshan Hospital (Xiamen Branch), Fudan University, Xiamen, China
| | - Wen Zhang
- Department of Traditional Chinese Medicine, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jinglai Lin
- Department of Urology, Zhongshan Hospital (Xiamen Branch), Fudan University, Xiamen, China
| | - Hang Wang
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiaoyi Hu
- Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jianming Guo
- Department of Urology, Zhongshan Hospital (Xiamen Branch), Fudan University, Xiamen, China.,Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
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Stăncioiu L, Gherman AMR, Brezeștean I, Dina NE. Vibrational spectral analysis of Sorafenib and its molecular docking study compared to other TKIs. J Mol Struct 2022. [DOI: 10.1016/j.molstruc.2021.131507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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Karner C, Kew K, Wakefield V, Masento N, Edwards SJ. Targeted therapies for previously treated advanced or metastatic renal cell carcinoma: systematic review and network meta-analysis. BMJ Open 2019; 9:e024691. [PMID: 30826762 PMCID: PMC6429896 DOI: 10.1136/bmjopen-2018-024691] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
OBJECTIVE To compare the effectiveness and safety of treatments for advanced or metastatic renal cell carcinoma (amRCC) after treatment with vascular endothelial growth factor (VEGF)-targeted treatment. DESIGN Systematic review and network meta-analysis of randomised controlled trials (RCTs) and comparative observational studies. MEDLINE, EMBASE and Cochrane Library were searched up to January 2018. PARTICIPANTS People with amRCC requiring treatment after VEGF-targeted treatment. INTERVENTIONS Axitinib, cabozantinib, everolimus, lenvatinib with everolimus, nivolumab, sorafenib and best supportive care (BSC). OUTCOMES Primary outcomes were overall survival (OS) and progression-free survival (PFS); secondary outcomes were objective response rate (ORR), adverse events, and health-related quality of life (HRQoL). RESULTS Twelve studies were included (n=5144): five RCTs and seven observational studies. Lenvatinib with everolimus significantly increased OS and PFS over everolimus (HR 0.61, 95% Credible Interval [95%CrI]: 0.36 to 0.96 and 0.47, 95%CrI: 0.26 to 0.77, respectively) as did cabozantinib (HR 0.66, 95%CrI: 0.53 to 0.82 and 0.51, 95%CrI: 0.41 to 0.63, respectively). This remained the case when observational evidence was included. Nivolumab also significantly improved OS versus everolimus (HR 0.74, 95%CrI: 0.57 to 0.93). OS sensitivity analysis, including observational studies, indicates everolimus being more effective than axitinib and sorafenib. However, inconsistency was identified in the OS sensitivity analysis. PFS sensitivity analysis suggests axitinib is more effective than everolimus, which may be more effective than sorafenib. The results for ORR supported the OS and PFS analyses. Nivolumab is associated with fewer grade 3 or grade 4 adverse events than lenvatinib with everolimus or cabozantinib. HRQoL could not be analysed due to differences in tools used. CONCLUSIONS Lenvatinib with everolimus, cabozantinib and nivolumab are effective in prolonging the survival for people with amRCC subsequent to VEGF-targeted treatment, but there is considerable uncertainty about how they compare to each other and how much better they are than axitinib and sorafenib. PROSPERO REGISTRATION NUMBER CRD42017071540.
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Affiliation(s)
- Charlotta Karner
- British Medical Journal Technology Assessment Group (BMJ-TAG), BMA House, London, UK
| | - Kayleigh Kew
- British Medical Journal Technology Assessment Group (BMJ-TAG), BMA House, London, UK
| | - Victoria Wakefield
- British Medical Journal Technology Assessment Group (BMJ-TAG), BMA House, London, UK
| | - Natalie Masento
- British Medical Journal Technology Assessment Group (BMJ-TAG), BMA House, London, UK
| | - Steven J Edwards
- British Medical Journal Technology Assessment Group (BMJ-TAG), BMA House, London, UK
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Proskorovsky I, Benedict A, Negrier S, Bargo D, Sandin R, Ramaswamy K, Desai J, Cappelleri JC, Larkin J. Axitinib, cabozantinib, or everolimus in the treatment of prior sunitinib-treated patients with metastatic renal cell carcinoma: results of matching-adjusted indirect comparison analyses. BMC Cancer 2018; 18:1271. [PMID: 30567533 PMCID: PMC6300002 DOI: 10.1186/s12885-018-5157-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Accepted: 11/29/2018] [Indexed: 01/05/2023] Open
Abstract
Background In the absence of head-to-head trials comparing axitinib with cabozantinib or everolimus, the aim of this study was to conduct an indirect comparison of their relative efficacy in patients with metastatic renal cell carcinoma (mRCC), using data from the AXIS and METEOR trials. Methods Progression-free survival (PFS) and overall survival (OS) in prior sunitinib-treated patients with mRCC were compared by conducting matching-adjusted indirect comparison (MAIC) analyses, including base-case and sensitivity analyses. Individual patient-level data from prior sunitinib-treated patients who received axitinib in AXIS were weighted to match published baseline characteristics of prior sunitinib-treated patients who received either cabozantinib or everolimus in METEOR. Results There was no statistically significant difference in PFS (aHR [adjusted hazard ratio] = 1.15 [CI: 0.82–1.63]) and OS (aHR = 1.00 [CI: 0.69–1.46]) between axitinib versus cabozantinib in the base-case analysis. In the sensitivity analysis, PFS (aHR = 1.39 [CI: 1.00–1.92]) and OS (aHR = 1.35 [CI: 0.95–1.92]) were shorter for axitinib compared with cabozantinib; however, the OS difference was not statistically significant. Axitinib was associated with significantly longer PFS compared with everolimus in the base-case (aHR = 0.53 [CI: 0.36–0.80]) and sensitivity analyses (aHR = 0.63 [CI: 0.45–0.88]), respectively. Results suggested an OS benefit for axitinib versus everolimus in base-case analyses (aHR = 0.63 [CI: 0.42–0.96]); however, the difference in OS in the sensitivity analysis was not statistically significant (aHR = 0.84 [CI: 0.59–1.18]). Conclusions MAIC analyses suggest PFS and OS for axitinib and cabozantinib are dependent on the Memorial Sloan Kettering Cancer Center definition used; in the base-case analysis, there was no significant difference in PFS and OS between axitinib and cabozantinib. In the sensitivity analysis, PFS in favour of cabozantinib was significant; however, the trend for prolonged OS with cabozantinib was not significant. For axitinib and everolimus, MAIC analyses indicate patients treated with axitinib may have an improved PFS and OS benefit when compared to everolimus. Disparities between the base-case and sensitivity analyses in this study underscore the importance of adjusting for the differences in baseline characteristics and that naïve indirect comparisons are not appropriate.
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Affiliation(s)
- Irina Proskorovsky
- Evidera, 7575 Trans-Canada Highway, Suite 404, Montreal, Quebec, H4R 1V6, Canada.
| | | | | | | | - Rickard Sandin
- Pfizer AB, Vetenskapsvägen 10, 191 90, Sollentuna, Sweden
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Second-line treatment after sunitinib therapy in patients with renal cell carcinoma: a comparison of axitinib and mammalian target of rapamycin inhibitors. Oncotarget 2018; 9:37017-37025. [PMID: 30651932 PMCID: PMC6319347 DOI: 10.18632/oncotarget.26439] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 11/26/2018] [Indexed: 01/05/2023] Open
Abstract
This retrospective study compared the outcomes of sequential therapy using sunitinib followed by axitinib or the mammalian target of rapamycin (mTOR) inhibitors (everolimus or temsirolimus). Among 234 patients treated with molecular-targeted drugs for metastatic renal cell carcinoma, we selected 137 patients treated with sunitinib as the first-line therapy. We then compared patients treated with axitinib (n = 52) or mTOR inhibitors (n = 31), as the second-line treatment, and investigated the progression-free survival (PFS) and overall survival (OS). The PFS of axitinib-treated patients (median 8.7 months) was superior to that of mTOR inhibitors-treated patients (median 3.4 months; P = 0.001). Additionally, the OS from baseline of axitinib-treated patients (median 69 months) was superior to that of mTOR inhibitors-treated patients (median 33.4 months; P = 0.034). A multivariate analysis was performed with the following factors: the drugs used for the second-line treatment, the Memorial Sloan Kettering Cancer Center risk classification during the initial treatment, whether the discontinuation of the first-line treatment was due to adverse events, and whether the duration of response of the first-line treatment was less than 6 or 12 months. Importantly, the drugs used for the second-line treatment and Memorial Sloan Kettering Cancer Center risk classification were independent factors. Our findings suggest that axitinib works better than mTOR inhibitors after the first-line treatment with sunitinib.
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Comparative effectiveness in urology: a state of the art review utilizing a systematic approach. Curr Opin Urol 2018; 27:380-394. [PMID: 28426464 DOI: 10.1097/mou.0000000000000405] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
PURPOSE OF REVIEW Comparative effectiveness research plays a vital role in healthcare delivery by guiding evidence-based practices. We performed a state-of-the-art review of comparative effectiveness research in the urology literature for 2016, utilizing a systematic approach. Seven high-impact papers are reviewed in detail. RECENT FINDINGS Across the breadth of urology, there were several important studies in comparative effectiveness research, of which we will highlight two randomized controlled trials and five observational trials: radiotherapy, prostatectomy, and active monitoring have equivalent mortality outcomes in patients with localized prostate cancer; the ideal modality of patient education is yet to be determined, and written education has minimal effect on patient perception of prostate specific antigen screening; robotic prostatectomy is associated with higher perioperative complication rates on a population basis; racial disparities exist in incontinence rates after treatment for localized prostate cancer, but not in irritative, bowel, or sexual function; androgen deprivation therapy is associated with higher fracture, peripheral artery disease, and cardiac-related complications than bilateral orchiectomy; robotic and open cystectomy offer comparable cancer-specific mortality and perioperative outcomes; and bonuses for low-cost hospitals can inadvertently reward low-quality hospitals. SUMMARY There have been major advancements in comparative effectiveness research in urology in 2016.
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Edwards SJ, Wakefield V, Cain P, Karner C, Kew K, Bacelar M, Masento N, Salih F. Axitinib, cabozantinib, everolimus, nivolumab, sunitinib and best supportive care in previously treated renal cell carcinoma: a systematic review and economic evaluation. Health Technol Assess 2018; 22:1-278. [PMID: 29393024 PMCID: PMC5817410 DOI: 10.3310/hta22060] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Several therapies have recently been approved for use in the NHS for pretreated advanced or metastatic renal cell carcinoma (amRCC), but there is a lack of comparative evidence to guide decisions between them. OBJECTIVE To evaluate the clinical effectiveness and cost-effectiveness of axitinib (Inlyta®, Pfizer Inc., NY, USA), cabozantinib (Cabometyx®, Ipsen, Slough, UK), everolimus (Afinitor®, Novartis, Basel, Switzerland), nivolumab (Opdivo®, Bristol-Myers Squibb, NY, USA), sunitinib (Sutent®, Pfizer, Inc., NY, USA) and best supportive care (BSC) for people with amRCC who were previously treated with vascular endothelial growth factor (VEGF)-targeted therapy. DATA SOURCES A systematic review and mixed-treatment comparison (MTC) of randomised controlled trials (RCTs) and non-RCTs. Primary outcomes were overall survival (OS) and progression-free survival (PFS). Secondary outcomes were objective response rates (ORRs), adverse events (AEs) and health-related quality of life (HRQoL). MEDLINE, EMBASE and The Cochrane Library were searched from inception to January and June 2016 for RCTs and non-RCTs, respectively. Two reviewers abstracted data and performed critical appraisals. REVIEW METHODS A fixed-effects MTC was conducted for OS, PFS [hazard ratios (HRs)] and ORR (odds ratios), and all were presented with 95% credible intervals (CrIs). The RCT data formed the primary analyses, with non-RCTs and studies rated as being at a high risk of bias included in sensitivity analyses (SAs). HRQoL and AE data were summarised narratively. A partitioned survival model with health states for pre progression, post progression and death was developed to perform a cost-utility analysis. Survival curves were fitted to the PFS and OS results from the MTC. A systematic review of HRQoL was undertaken to identify sources of health state utility values. RESULTS Four RCTs (n = 2618) and eight non-RCTs (n = 1526) were included. The results show that cabozantinib has longer PFS than everolimus (HR 0.51, 95% CrI 0.41 to 0.63) and both treatments are better than BSC. Both cabozantinib (HR 0.66, 95% CrI 0.53 to 0.82) and nivolumab (HR 0.73, 95% CrI 0.60 to 0.89) have longer OS than everolimus. SAs were consistent with the primary analyses. The economic analysis, using drug list prices, shows that everolimus may be more cost-effective than BSC with an incremental cost-effectiveness ratio (ICER) of £45,000 per quality-adjusted life-year (QALY), as it is likely to be considered an end-of-life treatment. Cabozantinib has an ICER of £126,000 per QALY compared with everolimus and is unlikely to be cost-effective. Nivolumab was dominated by cabozantinib (i.e. more costly and less effective) and axitinib was dominated by everolimus. LIMITATIONS Treatment comparisons were limited by the small number of RCTs. However, the key limitation of the analysis is the absence of the drug prices paid by the NHS, which was a limitation that could not be avoided owing to the confidentiality of discounts given to the NHS. CONCLUSIONS The RCT evidence suggests that cabozantinib is likely to be the most effective for PFS and OS, closely followed by nivolumab. All treatments appear to delay disease progression and prolong survival compared with BSC, although the results are heterogeneous. The economic analysis shows that at list price everolimus could be recommended as the other drugs are much more expensive with insufficient incremental benefit. The applicability of these findings to the NHS is somewhat limited because existing confidential patient access schemes could not be used in the analysis. Future work using the discounted prices at which these drugs are provided to the NHS would better inform estimates of their relative cost-effectiveness. STUDY REGISTRATION This study is registered as PROSPERO CRD42016042384. FUNDING The National Institute for Health Research Health Technology Assessment programme.
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Lakomy R, Poprach A, Bortlicek Z, Melichar B, Chloupkova R, Vyzula R, Zemanova M, Kopeckova K, Svoboda M, Slaby O, Kiss I, Studentova H, Juracek J, Fiala O, Kopecky J, Finek J, Dusek L, Hejduk K, Buchler T. Utilization and efficacy of second-line targeted therapy in metastatic renal cell carcinoma: data from a national registry. BMC Cancer 2017; 17:880. [PMID: 29268716 PMCID: PMC5740580 DOI: 10.1186/s12885-017-3901-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Accepted: 12/08/2017] [Indexed: 12/20/2022] Open
Abstract
Background It is well known that patient characteristics and survival outcomes in randomized trials may not necessarily be similar to those in real-life clinical practice. The aim of the present study was to analyse second line treatment strategies in the real-world practice and to estimate the outcomes of patients treated with second-line targeted therapy for metastatic renal cell carcinoma (mRCC). Methods This is a retrospective, registry-based study using data from the national registry of targeted therapies for mRCC. The RENIS registry contains data on 3049 patients who started the therapy with at least one targeted agent before 31 December, 2014. Of these patients, 1029 had a record of at least two different targeted therapies and sufficient data for analysis. Survival analysis was carried out using the Kaplan-Meier method. Statistical significance of differences in survival between subgroups was assessed using the log-rank test. Results The median overall survival from the start of second-line treatment was 17.0 months (95% confidence interval [CI] 14.5–19.5 months), 17.1 months (95% CI 14.5–19.8), and 15.4 months (95% CI 11.0–19.7) for second-line everolimus, sorafenib, and sunitinib, respectively. Patients receiving second-line everolimus were older at the start of second-line treatment, more likely to have metachronous disease, and less likely to be previously treated with cytokines or to continue to third-line treatment than patients treated with second-line sunitinib or sorafenib. Progression-free survival (PFS) correlated with PFS on first-line treatment only for everolimus. Conclusions In this retrospective study, no significant differences in survival were observed between the cohorts treated with different second-line agents including everolimus, sorafenib, and sunitinib.
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Affiliation(s)
- Radek Lakomy
- Department of Comprehensive Cancer Care and Faculty of Medicine, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | - Alexandr Poprach
- Department of Comprehensive Cancer Care and Faculty of Medicine, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | - Zbynek Bortlicek
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Bohuslav Melichar
- Department of Oncology, Palacky University Medical School and Teaching Hospital, I.P. Pavlova 6, 775 20, Olomouc, Czech Republic
| | - Renata Chloupkova
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Rostislav Vyzula
- Department of Comprehensive Cancer Care and Faculty of Medicine, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | - Milada Zemanova
- Department of Oncology, First Faculty of Medicine, Charles University and General University Hospital, U Nemocnice 499/2, 128 08, Prague, Czech Republic
| | - Katerina Kopeckova
- Department of Oncology, Second Faculty of Medicine, Charles University and Motol University Hospital, Prague, Czech Republic
| | - Marek Svoboda
- Department of Comprehensive Cancer Care and Faculty of Medicine, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | - Ondrej Slaby
- Department of Comprehensive Cancer Care and Faculty of Medicine, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | - Igor Kiss
- Department of Comprehensive Cancer Care and Faculty of Medicine, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | - Hana Studentova
- Department of Oncology, Palacky University Medical School and Teaching Hospital, I.P. Pavlova 6, 775 20, Olomouc, Czech Republic
| | - Jaroslav Juracek
- Department of Comprehensive Cancer Care and Faculty of Medicine, Masaryk Memorial Cancer Institute and Masaryk University, Brno, Czech Republic
| | - Ondrej Fiala
- Department of Oncology, Charles University and University Hospital, Svobody 80, 304 60, Pilsen, Czech Republic
| | - Jindrich Kopecky
- Department of Oncology, Hradec Králové University Hospital and Faculty of Medicine, Charles University, Hradec Králové, Sokolská 581, 50005, Hradec Králové, Czech Republic
| | - Jindrich Finek
- Department of Oncology, Charles University and University Hospital, Svobody 80, 304 60, Pilsen, Czech Republic
| | - Ladislav Dusek
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Karel Hejduk
- Institute of Biostatistics and Analyses, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Tomas Buchler
- Department of Oncology, First Faculty of Medicine, Charles University and Thomayer Hospital, Videnska 800, 140 59, Prague, Czech Republic.
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Everolimus Versus Axitinib as Second-line Therapy in Metastatic Renal Cell Carcinoma: Experience From Institut Gustave Roussy. Clin Genitourin Cancer 2017; 15:e1081-e1088. [DOI: 10.1016/j.clgc.2017.07.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Revised: 07/18/2017] [Accepted: 07/21/2017] [Indexed: 01/15/2023]
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Lewis JR, Kerridge I, Lipworth W. Use of Real-World Data for the Research, Development, and Evaluation of Oncology Precision Medicines. JCO Precis Oncol 2017; 1:1-11. [DOI: 10.1200/po.17.00157] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Although randomized controlled trials remain the scientific ideal for determining the efficacy and safety of new treatments, they are sometimes insufficient to address the evidentiary requirements of regulators and payers. This is particularly the case when it comes to precision medicines because trials are often small, deliver incomplete insights into outcomes of most interest to policymakers (eg, overall survival), and may fail to address other complex diagnostic and treatment-related questions. Additional methods, both experimental and observational, are increasingly being used to fill critical evidentiary gaps. A number of modified early- and late-phase trial designs have been proposed to better support earlier biomarker validation, patient identification, and selection for regulatory studies, but there is still a need for confirmatory evidence from real-world data sources. These data are usually provided through observational, postapproval, phase IIIB and IV studies, which rely heavily on registries and other electronic data sets—most notably data from electronic health records. It is, therefore, crucial to understand what ethical, practical, and scientific challenges are raised by the use of electronic health records to generate evidence about precision medicines.
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Affiliation(s)
- Jan R.R. Lewis
- All authors: Sydney Health Ethics, University of Sydney, Sydney, New South Wales, Australia
| | - Ian Kerridge
- All authors: Sydney Health Ethics, University of Sydney, Sydney, New South Wales, Australia
| | - Wendy Lipworth
- All authors: Sydney Health Ethics, University of Sydney, Sydney, New South Wales, Australia
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D'Aniello C, Vitale MG, Farnesi A, Calvetti L, Laterza MM, Cavaliere C, Della Pepa C, Conteduca V, Crispo A, De Vita F, Grillone F, Ricevuto E, De Tursi M, De Vivo R, Di Napoli M, Cecere SC, Iovane G, Amore A, Piscitelli R, Quarto G, Pisconti S, Ciliberto G, Maiolino P, Muto P, Perdonà S, Berretta M, Naglieri E, Galli L, Cartenì G, De Giorgi U, Pignata S, Facchini G, Rossetti S. Axitinib after Sunitinib in Metastatic Renal Cancer: Preliminary Results from Italian "Real-World" SAX Study. Front Pharmacol 2016; 7:331. [PMID: 27733829 PMCID: PMC5039205 DOI: 10.3389/fphar.2016.00331] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Accepted: 09/07/2016] [Indexed: 12/20/2022] Open
Abstract
Axitinib is an oral angiogenesis inhibitor, currently approved for treatment of metastatic renal cell carcinoma (mRCC) after failure of prior treatment with Sunitinib or cytokine. The present study is an Italian Multi-Institutional Retrospective Analysis that evaluated the outcomes of Axitinib, in second-line treatment of mRCC. The medical records of 62 patients treated with Axitinib, were retrospectively reviewed. The Progression Free Survival (PFS), the Overall Survival (OS), the Objective Response Rate (ORR), the Disease Control Rate (DCR), and the safety profile of axitinib and sunitinib–axitinib sequence, were the primary endpoint. The mPFS was 5.83 months (95% CI 3.93–7.73 months). When patients was stratified by Heng score, mPFS was 5.73, 5.83, 10.03 months according to poor, intermediate, and favorable risk group, respectively. The mOS from the start of axitinib was 13.3 months (95% CI 8.6–17.9 months); the observed ORR and DCR were 25 and 71%, respectively. When stratified patients by subgroups defined by duration of prior therapy with Sunitinib (≤ vs. >median duration), there was a statistically significant difference in mPFS with 8.9 (95% CI 4.39–13.40 months) vs. 5.46 months (95% CI 4.04–6.88 months) for patients with a median duration of Sunitinib >13.2 months. DCR and ORR to previous Sunitinib treatment was associated with longer statistically mPFS, 7.23 (95% CI 3.95–10.51 months, p = 0.01) and 8.67 (95% CI 4.0–13.33 months, p = 0.008) vs. 2.97 (95% CI 0.65–5.27 months, p = 0.01) and 2.97 months (95% CI 0.66–5.28 months, p = 0.01), respectively. Overall Axitinib at standard schedule of 5 mg bid, was well-tolerated. The most common adverse events of all grades were fatig (25.6%), hypertension (22.6%), gastro-intestinal disorders (25.9%), and hypothyroidism (16.1%). The sequence Sunitinib–Axitinib was well-tolerated without worsening in side effects, with a median OS of 34.7 months (95% CI 18.4–51.0 months). Our results are consistent with the available literature; this retrospective analysis confirms that Axitinib is effective and safe in routine clinical practice.
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Affiliation(s)
- Carmine D'Aniello
- Oncology Unit, A.O.R.N. dei COLLI "Ospedali Monaldi-Cotugno-CTO," Naples, Italy
| | | | | | | | - Maria M Laterza
- Division of Medical Oncology, Department of Internal and Experimental Medicine "F. Magrassi," Second University of Naples - School of Medicine Naples, Italy
| | - Carla Cavaliere
- Department of Onco-Hematology Medical Oncology, S.G. Moscati Hospital of Taranto Taranto, Italy
| | - Chiara Della Pepa
- Department of Uro-Gynaecological Oncology, Division of Medical Oncology, Istituto Nazional Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Vincenza Conteduca
- Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori IRCCS Meldola, Italy
| | - Anna Crispo
- Unit of Epidemiology, Struttura Complessa di Statistica Medica, Biometria e Bioinformatica, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Ferdinando De Vita
- Division of Medical Oncology, Department of Internal and Experimental Medicine "F. Magrassi," Second University of Naples - School of Medicine Naples, Italy
| | - Francesco Grillone
- Medical Oncology Unit, Azienda Ospedaliera "Mater Domini," Catanzaro, Italy
| | - Enrico Ricevuto
- Oncology Network ASL1 Abruzzo, Oncology Territorial Care Unit, Division of Medical Oncology, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila L'Aquila, Italy
| | - Michele De Tursi
- Department of Medical, Oral and Biotechnological Sciences, University "G. D'Annunzio," Chieti, Italy
| | | | - Marilena Di Napoli
- Department of Uro-Gynaecological Oncology, Division of Medical Oncology, Istituto Nazional Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Sabrina C Cecere
- Department of Uro-Gynaecological Oncology, Division of Medical Oncology, Istituto Nazional Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Gelsomina Iovane
- Department of Uro-Gynaecological Oncology, Division of Medical Oncology, Istituto Nazional Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Alfonso Amore
- Hepatobiliary Unit, Division of Abdominal Surgical Oncology, National Cancer Institute "G. Pascale Foundation," IRCCS Naples, Italy
| | - Raffaele Piscitelli
- Pharmacy Unit, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Giuseppe Quarto
- Division of Urology, Department of Uro-Gynaecological Oncology, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Salvatore Pisconti
- Department of Onco-Hematology Medical Oncology, S.G. Moscati Hospital of Taranto Taranto, Italy
| | - Gennaro Ciliberto
- Scientific Direction, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Piera Maiolino
- Pharmacy Unit, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Paolo Muto
- Division of Radiation Oncology, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Sisto Perdonà
- Division of Urology, Department of Uro-Gynaecological Oncology, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | | | - Emanuele Naglieri
- Division of Medical Oncology, Istituto Oncologico Giovanni Paolo II Bari, Italy
| | - Luca Galli
- Oncology Unit 2, University Hospital of Pisa Pisa, Italy
| | | | - Ugo De Giorgi
- Department of Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori IRCCS Meldola, Italy
| | - Sandro Pignata
- Department of Uro-Gynaecological Oncology, Division of Medical Oncology, Istituto Nazional Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Gaetano Facchini
- Department of Uro-Gynaecological Oncology, Division of Medical Oncology, Istituto Nazional Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
| | - Sabrina Rossetti
- Department of Uro-Gynaecological Oncology, Division of Medical Oncology, Istituto Nazional Tumori IRCCS "Fondazione G. Pascale," Naples, Italy
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The Wide Experience of the Sequential Therapy for Patients with Metastatic Renal Cell Carcinoma. Curr Oncol Rep 2016; 18:66. [PMID: 27613167 DOI: 10.1007/s11912-016-0553-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Sequential targeted therapies are the standard of care for patients with metastatic renal cell carcinoma (mRCC). Several drugs are available for patients whose disease progresses while they receive initial tyrosine kinase inhibitor (TKI) therapy; these include nivolumab (an inhibitor of PD-1 receptor), everolimus (an inhibitor of the mechanistic target of rapamycin) or additional TKIs. Until now, there has been no clinical evidence to support the use of one strategy versus another, so investigators and physicians rely on experience, judgement and findings from molecular analyses to select the appropriate treatment. However, with the arrival of nivolumab and cabozantinib that provide an overall survival higher than other alternative treatments, therapeutic strategies may have changed. Here, we discuss findings from preclinical and clinical studies that might help clinicians to choose the optimal treatment approach for patients with mRCC who progress to initial therapy.
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