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Research ArticleClinical Studies

Long-term Response to First-line Pazopanib Therapy in mRCC Patients: A Multicenter Italian Experience

ANDREA SBRANA, ELISA BIASCO, FEDERICO PAOLIERI, ERICA PALESANDRO, CLAUDIA CASERTA, ROBERTO IACOVELLI, BEATRICE DETTI, DANIELE SANTINI, ALESSANDRA MOSCA, FRANCO MORELLI, GIUSEPPE FORNARINI, UGO DE GIORGI, CRISTINA MASINI and LUCA GALLI
Anticancer Research August 2018, 38 (8) 4913-4918; DOI: https://doi.org/10.21873/anticanres.12807
ANDREA SBRANA
1U.O. Oncologia Medica 2 Universitaria, Polo Oncologico, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
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  • For correspondence: andreasbrana89@gmail.com
ELISA BIASCO
2DH Oncologico Portoferraio, Azienda Toscana Nord Ovest, Livorno, Italy
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FEDERICO PAOLIERI
1U.O. Oncologia Medica 2 Universitaria, Polo Oncologico, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
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ERICA PALESANDRO
3Istituto di Candiolo – IRCCS, Turin, Italy
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CLAUDIA CASERTA
4S. C. Oncologia Medica, Azienda Ospedaliera S. Maria, Terni, Italy
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ROBERTO IACOVELLI
5U.O.C. Oncologia Medica, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy
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BEATRICE DETTI
6U.O. Radioterapia, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy
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DANIELE SANTINI
7U.O.S. Day Hospital di Oncologia, Università Campus Biomedico, Rome, Italy
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ALESSANDRA MOSCA
8S.C. Oncologia Medica, Azienda Ospedaliero-Universitaria Maggiore della Carità, Novara, Italy
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FRANCO MORELLI
9U.O.C. Oncologia, Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
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GIUSEPPE FORNARINI
10U.O. Oncologia Medica 1, Policlinico San Martino, Genoa, Italy
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UGO DE GIORGI
11U.O. Oncologia Medica, IRST, Meldola, Italy
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CRISTINA MASINI
12U.O. Oncologia Medica, Azienda Ospedaliera di Reggio Emilia, Reggio Emilia, Italy
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LUCA GALLI
1U.O. Oncologia Medica 2 Universitaria, Polo Oncologico, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
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Abstract

Background/Aim: The specific characteristics of patients who are most likely to benefit from pazopanib therapy are still uncertain. We report on the results of an Italian multicenter, retrospective analysis investigating the factors associated with longer response to first-line pazopanib in patients with metastatic renal cell carcinoma. Patients and Methods: Adult patients were considered if they had received treatment with pazopanib (800 mg/day) for >12 months in the first-line setting. Results: In total, 112 patients were evaluated. Median duration of pazopanib treatment was 22.6 months (IQR 17.8 months). Median PFS was 22.6 months (95%CI= 20.2-25.0). Eighty-three patients (74.1%) had a PFS ≥18 months. Median OS was 32.9 months (95%CI=30.2-35.6). At statistical analysis, only PS score (1+ vs. 0) was significantly associated with PFS (HR=1.76; 95%CI=1.02-3.05; p=0.04). Conclusion: Pazopanib therapy may be suitable for all patients with mRCC, and especially in those with PS 0.

  • mRCC
  • pazopanib
  • response
  • first-line

Over the last years, a number of targeted and innovative therapies have been approved for the treatment of metastatic renal cell carcinoma (mRCC) in the so-called ‘antiangiogenic era’ (1, 2). In the first-line setting, the recent ESMO guidelines recommend a treatment with bevacizumab plus IFN-α, sunitinib or pazopanib in patients with good or intermediate risk and clear-cell histology (3). The selection of therapy should be based upon patients' characteristics and the specific efficacy and safety profiles of each treatment (4, 5).

In particular, pazopanib (Votrient®; Novartis, Basel, Switzerland), is an orally administered multi-targeted tyrosine kinase inhibitor that inhibits VEGFR-1, -2 and -3, PDGFR-α and -β, and the stem cell factor receptor c-Kit (6). This molecule was registered based on a global randomized, placebo-controlled, phase III study (7), and more recently it was shown to be as effective as sunitinib, but in association with a higher overall response rate (ORR) in the pivotal phase III COMPARZ trial (8, 9). Interestingly, the results of the crossover PISCES trial showed a patient preference for pazopanib over sunitinib (10).

However, the specific characteristics of patients who are most likely to benefit from pazopanib therapy remain to be fully disclosed (11). In a recent post-hoc analysis of the COMPARZ trial, presented at the 2017 ASCO meeting, no baseline factor associated with long duration of response to pazopanib treatment was identified. Noteworthy, data from daily clinical practice could complement the results of pivotal trials and help identify the patient who may show prolonged response to pazopanib therapy (11).

Figure 1.
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Figure 1.

Selection of patients.

Here, we report the results of an Italian multicenter analysis aimed at investigating the factors associated with longer response to first-line pazopanib in mRCC patients.

Patients and Methods

Study setting and design. This was a multicenter, retrospective study conducted in 20 oncological centers located all over the Italian territory. The local Ethical Committees have approved the study design; all patients had signed an informed consent to the use of their personal data for research purposes before enrolment.

Patient selection. Clinical charts of patients were reviewed to identify eligible subjects. Patients were included in this analysis if they met the following criteria: (i) age ≥18 years at first diagnosis of mRCC; and (ii) had received treatment with pazopanib for >12 months in the first-line setting. No other inclusion or exclusion criteria were applied.

Treatment. Pazopanib was administered at the standard dose of 800 mg/day. Supportive care and standard management were provided according to the practice of each participating center.

Evaluations. Progression-free survival (PFS) and overall survival (OS) were the primary efficacy endpoints. PFS was defined as the time from the initiation of pazopanib treatment to progression or death, whichever occurred first. Patients were censored if no progression or death was observed at the time of analysis. OS was defined as the time from treatment initiation to death; patients alive at the time of analysis were censored. Safety considerations were also performed.

Statistical analysis. Descriptive and comparative statistics were performed to evaluate the following patients' characteristics: age at diagnosis, histotype and prior nephrectomy, TNM staging before starting pazopanib, metastatic sites, performance status (PS) and Fuhrman grade before starting pazopanib, baseline haemoglobin, serum level of lactic dehydrogenase (LDH) before the initiation of therapy, baseline calcemia, duration of treatment, and best response to pazopanib according to the RECIST criteria, version 1.1. Laboratory measurements were performed according to the standard practice of each center.

PFS and OS were calculated using the Kaplan–Meier method. The log-rank test was used for comparison of the survival curves. Long-term responders to pazopanib were defined as patients with PFS ≥18 months. The Cox proportional hazards model was used to analyse the association between clinical features at baseline and PFS, calculating the hazard ratio (HR) and 95%CIs. The selection of variables was carried out using the significance obtained from the univariate Cox model, considering the significance level of p≤0.2, and relevance in the literature.

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Table I.

Patients' demographic and clinical characteristics.

Figure 2.
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Figure 2.

Kaplan–Meier analysis of progression-free survival.

Adverse events were graded according to the Common Terminology Criteria for Adverse Events (CTCAE), version 4.0.

The EPI Info software (version 5.3 and 7) was used for descriptive analysis, and Stata (ver.11) for survival analysis.

Results

Baseline characteristics. In total, 112 patients met the inclusion criteria and were therefore evaluated (Figure 1). Table I shows patients' demographic and clinical characteristics. In total, 78 patients (70%) were males; mean age at diagnosis was 63±10 years (range=37-85 years). Only two patients (2%) had a diagnosis of non-clear cell RCC. The wide majority of patients (95.5%) had prior nephrectomy. The lungs were the most frequent metastatic site. Overall, 79 patients (70.5%) had a PS of 0; Heng class of risk was favorable in 40 patients (35.7%) and intermediate in 46 (41.1%).

Median calcemia and LDH levels before starting pazopanib were 9.25 mg/dl (range=4.8-12.6 mg/dl) and 251.5 u/l (range=126-500 u/l), respectively. Forty-two (37.5%) patients had baseline LDH levels higher than 240 u/l. Patients with calcemia levels higher than 10 mg/l were 11 (9.8%). For both variables, the percentage of missing data was about 20%.

Four patients had neutropenia (<1,700 cells/mm3; information was missing for 17 patients). A total of ten patients (information was missing for 14 patients) had thrombocytopenia (<150,000 cells/mm3).

Pazopanib therapy. Median duration of pazopanib treatment was 22.6 months (IQT: 17.8 months). Best response to pazopanib treatment was complete response in nine patients (8%), partial response in 63 patients (56.3%), and stable disease in 38 subjects (33.9%); for two patients (1.8%) information on best response to treatment was missing. Median follow-up time was 36.3 months. At the last follow-up visit, 56 (50%) patients were still receiving pazopanib. In the remaining 56 patients, treatment was discontinued due to disease progression (n=42), drug-related adverse events (n=7), patient's choice (n=5), while two patients had died.

Figure 3.
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Figure 3.

Kaplan–Meier analysis of progression-free survival according to progression-free survival.

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Table II.

Univariate analysis of progression-free survival.

Efficacy analysis. Median PFS was 22.6 months (95%CI=20.2-25.0) (Figure 2). Eighty-three patients (74.1%) had a PFS ≥18 months and were, therefore, defined as long-term responders. Ninety-three patients (83.0%) were still alive at the last follow-up; the median OS was 32.9 months (95%CI=30.2-35.6).

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Table III.

Multivariate analysis of progression-free survival.

As shown in Table II, PS (1+ vs. 0) was significantly associated with the PFS HR: 1.76, 95%CI=1.02-3.05; p=0.04). Other variables such as gender, LDH levels and calcemia levels did not reach a significance level of p≤0.2 and for this reason were not included in the Cox regression model. In the multivariate analysis (Table III and Figure 3), baseline PS was an independent predictor of PFS. No differences in PFS were reported between patients with favorable risk according to the Heng criteria (28.1 months; 95%CI=26.3-30.9) and those with intermediate risk (26.8 months; 95%CI: 24.7-29.0).

Characteristics of long-term responders. The patient characteristics were compared among patients with long-term response to pazopanib and those without (Table IV). Overall, there were more patients with PS 0 in the group with PFS ≥18 months (56%) than in the group with PFS <18 months (44.0%; p<0.05). Other patient characteristics such as baseline LDH and calcemia levels did not differ significantly between the two groups.

Safety analysis. Overall, the most common adverse events were hypertension and diarrhea (Table V). Twenty-three out of 223 adverse events were grade ≥3. The most common grade ≥3 adverse events were hypertension (n=8) and diarrhea (n=8). No deaths directly related to treatment were observed.

Discussion

The identification of the patient's and disease characteristics associated with prolonged response to first-line pazopanib therapy for mRCC may help guide treatment selection.

Although with all the limitations of any retrospective analysis (e.g., poor reporting and high number of missing data), this ‘field-practice’ study suggests that long response to pazopanib treatment may be achieved regardless of a number of baseline factors, which include gender, LDH levels and calcemia levels. On the other hand, baseline PS of 0 – indicative of good patient's overall status – was associated with prolonged OS. No special safety concerns were reported.

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Table IV.

Patients characteristics according to PFS categories.

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Table V.

Pazopanib treatment-related adverse events.

Our data are, overall, in line with those reported in the recent post-hoc analysis of the COMPARZ trial, which did not disclose any specific factor associated with longer response to pazopanib therapy (12). In more details, patients included in the intention-to-treat population of the pivotal COMPARZ trial were analyzed for differences in long-term response (≥10 months) according to rate of response, PFS, and time to response. The overall percentage of long-term responders was 14% with pazopanib and 13% with sunitinib; corresponding figures for PFS were 31.4% and 33.6%, respectively. This similar result between the two molecules was consistent regardless of the cut-off applied to define long-term duration of response and any other baseline characteristic. However, a shorter time to achieve complete or partial response was observed with pazopanib compared with sunitinib (11.9 weeks; 95%CI=11.3-12.1 vs. 17.4 weeks; 95%CI=12.7-18.0).

In another analysis, conducted in a ‘field-practice’ scenario and still unpublished, PS of 0 and history of nephrectomy were predictors of long-term response (13). A total of 153 patients treated with pazopanib were included; of them, 33 patients (22%) were identified as long-term responders (median PFS: ≥18 months). Median PFS was 27.2 months (95%CI=23.0-35.2) in long-term responders and 6.9 months (95%CI=5.0-8.5) in the remaining subjects. Noteworthy, and in line with our findings, long-term responders were more likely to have good PS at baseline (ECOG score=0) (42.4% vs. 18.3%; p=0.004). Moreover, they were more likely to present a history of nephrectomy (81.8% vs. 57.5%; p=0.010) than non-long-term responders. At multivariate analysis, both ECOG=0 at baseline (vs. ECOG=1 (OR=0.38; 95% CI=0.16-0.89) and vs. ECOG≥2 (OR=0.07, 95%CI=0.01-0.54)) and history of nephrectomy (OR=3.33; 95%CI=1.28-8.65) were confirmed as predictors of long-term response.

Similar investigations have also been performed for sunitinib (14). Differing from current findings on pazopanib, in a retrospective analysis of data from eight clinical trials and the expanded access program (n=5,714), several factors, namely Caucasian ethnicity, ECOG=0, time from diagnosis to treatment ≥1 year, clear cell histology, no liver metastasis, lactate dehydrogenase ≤1.5 × ULN, corrected calcium ≤10 mg/dl, hemoglobin above ULN, platelets ≤ULN, body mass index ≥25 kg/m2, and low neutrophil-to-lymphocyte ratio were associated with response lasting ≥18 months.

Overall, we believe that the above-described results may help guide treatment selection.

Conclusion

Evidence collected to date in different settings seem to support that first-line pazopanib therapy may be suitable for all patients with mRCC, and especially those with PS 0. This finding definitely requires confirmation in a prospective study, conducted both in a ‘field-practice’ scenario and in a more selected trial setting.

Acknowledgements

Editorial and scientific assistance for the preparation of this manuscript was provided by Luca Giacomelli, PhD, Lilia Biscaglia, PhD, and Aashni Shah (Polistudium, Milan, Italy), on behalf of Content Ed Net; this assistance was supported by Novartis.

Footnotes

  • Conflicts of Interest

    The Authors have no conflicts of interest directly relevant to this study.

  • Received May 22, 2018.
  • Revision received June 11, 2018.
  • Accepted June 12, 2018.
  • Copyright© 2018, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved

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Long-term Response to First-line Pazopanib Therapy in mRCC Patients: A Multicenter Italian Experience
ANDREA SBRANA, ELISA BIASCO, FEDERICO PAOLIERI, ERICA PALESANDRO, CLAUDIA CASERTA, ROBERTO IACOVELLI, BEATRICE DETTI, DANIELE SANTINI, ALESSANDRA MOSCA, FRANCO MORELLI, GIUSEPPE FORNARINI, UGO DE GIORGI, CRISTINA MASINI, LUCA GALLI
Anticancer Research Aug 2018, 38 (8) 4913-4918; DOI: 10.21873/anticanres.12807

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Long-term Response to First-line Pazopanib Therapy in mRCC Patients: A Multicenter Italian Experience
ANDREA SBRANA, ELISA BIASCO, FEDERICO PAOLIERI, ERICA PALESANDRO, CLAUDIA CASERTA, ROBERTO IACOVELLI, BEATRICE DETTI, DANIELE SANTINI, ALESSANDRA MOSCA, FRANCO MORELLI, GIUSEPPE FORNARINI, UGO DE GIORGI, CRISTINA MASINI, LUCA GALLI
Anticancer Research Aug 2018, 38 (8) 4913-4918; DOI: 10.21873/anticanres.12807
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