CheckMate-9ER: Patient-Reported Outcomes Show Significantly Improved Quality-of-Life Benefit of Novel Doublet for Advanced Renal Cell Carcinoma

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e17516-e17516
Author(s):  
J. Beaumont ◽  
D. Cella ◽  
T. Hutson ◽  
S. Bracarda ◽  
V. Grünwald ◽  
...  

e17516 Background: Patient-reported outcomes (PRO), including health-related quality of life (HRQL), were assessed in a Phase III trial of everolimus in metastatic renal cell carcinoma (mRCC) patients. Methods: Patients with mRCC were randomized (n=416) to receive everolimus or placebo plus best supportive care. Patients completed the FACT-Kidney Symptom Index- Disease Related Symptoms (FKSI-DRS) and EORTC-QLQ C30 at baseline and monthly during treatment. Karnofsky Performance Status (KPS) was also assessed at baseline and monthly during treatment. Primary analyses included time to deterioration defined as a decrease from baseline of at least 3 points for FKSI-DRS, at least 10% for EORTC Physical Function (PF) and Global Quality of Life (QL) scales, and at least 10 points for KPS. Secondary analyses considered tumor progressions that occurred prior to deterioration or censoring date as FKSI deterioration events and compared time to PRO deterioration by tumor progression. Comparisons were made using stratified log-rank tests and Cox proportional hazard models. Results: Time to deterioration in KPS was longer in the everolimus arm, and time to deterioration in FKSI-DRS was slightly longer ( Table ). There was no difference in time to deterioration in PF or QL. Secondary analyses showed median time to deterioration in FKSI-DRS was approximately doubled for the everolimus arm compared to placebo, and patients who progressed experienced a more rapid deterioration in FKSI-DRS and QL scores. Conclusions: Compared to placebo everolimus delayed progression of disease-related symptoms and KPS. No effect on time to deterioration of PF or QL could be determined. Secondary analyses suggest a delay in deterioration in kidney cancer related symptoms via tumor control. [Table: see text] [Table: see text]


2018 ◽  
Vol 36 (8) ◽  
pp. 757-764 ◽  
Author(s):  
David Cella ◽  
Bernard Escudier ◽  
Nizar M. Tannir ◽  
Thomas Powles ◽  
Frede Donskov ◽  
...  

Purpose In the phase III METEOR trial ( ClinicalTrials.gov identifier: NCT01865747), 658 previously treated patients with advanced renal cell carcinoma were randomly assigned 1:1 to receive cabozantinib or everolimus. The cabozantinib arm had improved progression-free survival, overall survival, and objective response rate compared with everolimus. Changes in quality of life (QoL), an exploratory end point, are reported here. Patients and Methods Patients completed the 19-item Functional Assessment of Cancer Therapy–Kidney Symptom Index (FKSI-19) and the five-level EuroQol (EQ-5D-5L) questionnaires at baseline and throughout the study. The nine-item FKSI–Disease-Related Symptoms (FKSI-DRS), a subset of FKSI-19, was also investigated. Data were summarized descriptively and by repeated-measures analysis (for which a clinically relevant difference was an effect size ≥ 0.3). Time to deterioration (TTD) was defined as the earlier of date of death, radiographic progressive disease, or ≥ 4-point decrease from baseline in FKSI-DRS. Results The QoL questionnaire completion rates remained ≥ 75% through week 48 in each arm. There was no difference over time for FKSI-19 Total, FKSI-DRS, or EQ-5D data between the cabozantinib and everolimus arms. Among the individual FKSI-19 items, cabozantinib was associated with worse diarrhea and nausea; everolimus was associated with worse shortness of breath. These differences are consistent with the adverse event profile of each drug. Cabozantinib improved TTD overall, with a marked improvement in patients with bone metastases at baseline. Conclusion In patients with advanced renal cell carcinoma, relative to everolimus, cabozantinib generally maintained QoL to a similar extent. Compared with everolimus, cabozantinib extended TTD overall and markedly improved TTD in patients with bone metastases.


2016 ◽  
Vol 27 ◽  
pp. vi284 ◽  
Author(s):  
D. Cella ◽  
B. Escudier ◽  
N. Tannir ◽  
T. Powles ◽  
F. Donskov ◽  
...  

2014 ◽  
Vol 32 (4_suppl) ◽  
pp. 418-418
Author(s):  
Mellar P. Davis ◽  
Ewa M. Matczak ◽  
Connie Chen ◽  
Beata Korytowsky ◽  
Helen Bhattacharyya ◽  
...  

418 Background: Low Hgb is linked with fatigue in cancer pts; however, the onset and severity of fatigue is multifactorial. The approved SU dosing schedule in mRCC is 4 weeks on treatment, 2 weeks off, and quality of life (QoL) when examined on day 28 is significantly worse than on day 1 of each cycle. The relationship between pt-reported fatigue and Hgb levels with SU in mRCC was investigated. Methods: Two randomized clinical trials of SU were combined to examine the pt-reported fatigue item from FKSI-15 which asks pts to indicate their level of fatigue on a 5-point Likert scale from 0=“not at all” to 4=“very much”. Data were collected at baseline (BL; cycle 1, day 1) and on days 28 and 42 of each 42-day cycle. For each visit, only pts who had data for both fatigue and Hgb at BL were included in the analysis. Results: 481 pts were included. Fatigue and Hgb levels at BL and over cycles 1–6 are shown in the table. Pts reported worse fatigue (higher score) at day 28 of each cycle than on day 42. Fatigue scores typically ranged from 1= “a little bit” to 2=“somewhat”. Changes in Hgb levels, however, were modest and opposite to fatigue changes i.e. were higher on day 28 of each cycle and lower on day 42. Findings were similar beyond cycle 6. Conclusions: Pts indicated less fatigue on day 42, after the 2-week break, than on day 28 of each cycle, consistent with previous overall QoL findings. Low Hgb is not associated with worse fatigue in mRCC pts receiving SU.This may be due to the multifactorial nature of fatigue. The ‘on’ and ‘off’ periods in intermittent dosing are important considerations of patients’ full experience of QoL. [Table: see text]


2014 ◽  
Vol 32 (14) ◽  
pp. 1412-1418 ◽  
Author(s):  
Bernard Escudier ◽  
Camillo Porta ◽  
Petri Bono ◽  
Thomas Powles ◽  
Tim Eisen ◽  
...  

Purpose Patient-reported outcomes may help inform treatment choice in advanced/metastatic renal cell carcinoma (RCC), particularly between approved targeted therapies with similar efficacy. This double-blind cross-over study evaluated patient preference for pazopanib or sunitinib and the influence of health-related quality of life (HRQoL) and safety factors on their stated preference. Patients and Methods Patients with metastatic RCC were randomly assigned to pazopanib 800 mg per day for 10 weeks, a 2-week washout, and then sunitinib 50 mg per day (4 weeks on, 2 weeks off, 4 weeks on) for 10 weeks, or the reverse sequence. The primary end point, patient preference for a specific treatment, was assessed by questionnaire at the end of the two treatment periods. Other end points and analyses included reasons for preference, physician preference, safety, and HRQoL. Results Of 169 randomly assigned patients, 114 met the following prespecified modified intent-to-treat criteria for the primary analysis: exposure to both treatments, no disease progression before cross over, and completion of the preference questionnaire. Significantly more patients preferred pazopanib (70%) over sunitinib (22%); 8% expressed no preference (P < .001). All preplanned sensitivity analyses, including the intent-to-treat population, statistically favored pazopanib. Less fatigue and better overall quality of life were the main reasons for preferring pazopanib, with less diarrhea being the most cited reason for preferring sunitinib. Physicians also preferred pazopanib (61%) over sunitinib (22%); 17% expressed no preference. Adverse events were consistent with each drug's known profile. Pazopanib was superior to sunitinib in HRQoL measures evaluating fatigue, hand/foot soreness, and mouth/throat soreness. Conclusion This innovative cross-over trial demonstrated a significant patient preference for pazopanib over sunitinib, with HRQoL and safety as key influencing factors.


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