Pazopanib in patients with metastatic renal cell carcinoma: a single-center, real-world, retrospective Chinese study
Introduction
Renal cell carcinoma (RCC) accounts for the majority of kidney cancers (approximately 80–90%), with nearly 75–80% of RCC patients having the clear cell histology type (1). In China, the incidence of RCC had increased from 3.96/100,000 in 2005 to 4.99/100,000 in 2014 (2). Metastatic RCC (mRCC) is one of the most treatment-resistant cancers; approximately 25–30% of RCC patients have distant metastasis at diagnosis, and 20–30% of RCC patients who undergo nephrectomy will develop mRCC (3). The widespread adoption of National Comprehensive Cancer Network (NCCN) guideline for RCC (4) was based on clinical trials mostly conducted in western population. Considering the global variability in patient characteristics and medical practice, there is an urgent need to clarify the management of mRCC specific to Chinese
Pazopanib, an oral receptor tyrosine kinase inhibitor (TKI), can inhibit vascular endothelial growth factor receptor (VEGFR), platelet-derived growth factor receptor (PDGFR) and c-Kit, exerting an antiangiogenesis effect that can inhibit both tumor cell proliferation and metastasis (5). The safety and efficacy of pazopanib in advanced metastatic RCC patients were demonstrated in a randomized, double-blind, phase III trial (6). Furthermore, the COMPARZ (Pazopanib Versus Sunitinib in the Treatment of Locally Advanced and/or Metastatic Renal Cell Carcinoma) trial, a randomized, double-blind, sunitinib-controlled phase III study, demonstrated the noninferiority of pazopanib to sunitinib in respect to progression-free survival (PFS) and overall survival (OS), with the safety and quality-of-life profiles favoring pazopanib (7,8). In a pooled analysis of a Chinese subgroup of the COMPARZ trial, pazopanib and sunitinib showed similar PFS. However, pazopanib demonstrated better safety in the Chinese subgroup (9). Therefore Pazopanib was recommended as first-line therapy for relapsed or stage IV surgically unresectable clear-cell RCC cases in the National Comprehensive Cancer Network (NCCN) guidelines and the Chinese Society of Clinical Oncology (CSCO) guidelines with a high level of evidence (4,10).
In China, pazopanib is now one of the most frequently used VEGFR-TKIs for mRCC patients. However, selecting the appropriate TKI for an individual patient can be challenging. Several real-world factors must be considered, including the experiences of urologists, the efficacy of TKIs, the different incidence rates of adverse events (AEs), patient symptoms, and Eastern Cooperative Oncology Group (ECOG) performance status (PS) score. Due to this uncertainty, real-world studies have been used to complement randomized controlled trials (RCTs) by including more diverse patient populations, and improving the quantity and quality of the evidence used in guidelines (11).
Thus, as RCTs may not be representative of real-world practice, our study aimed to evaluate the efficacy and safety of first-line pazopanib in Chinese mRCC patients.
We present the following article in accordance with the STROBE reporting checklist (available at http://dx.doi.org/10.21037/tau-21-111).
Methods
Study design and patient population
This was a single-center, retrospective study conducted to determine the efficacy and safety of pazopanib therapy for mRCC. The study enrolled patients who were admitted to Fujian Medical University Union Hospital from 1st May 2017 to 31st January 2020. Data were retrieved from the electronic medical records and reviewed retrospectively. To be eligible, patients were required to meet the following inclusion criteria: (I) histologically confirmed advanced mRCC; (II) pazopanib received as first-line treatment according to the conventional schedule of 800 mg/day; (III) aged≥18 years; last date of following 30th August 2020. Pazopanib (800 mg/day) was administered orally without interruption until disease progression, unacceptable toxicities, or mortality. Dose modification or discontinuation was administered according to the patients’ tolerance. Clinical and laboratory data collected in the initiation of pazopanib treatment included International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) risk (12), age, sex, ECOG PS score, histologic type, previous nephrectomy, previous local therapy, number and site of metastasis, and comorbidity. Ethical approval was obtained from the institutional ethics committee of Fujian Medical University Union Hospital (NO.: 2021KY011). The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013), and written informed consent was provided by all patients prior to pazopanib treatment.
Assessments
The primary endpoint was PFS, defined as the time from pazopanib initiation to physician-assessed disease progression or death due to any cause, whichever occurred first. The secondary endpoint included objective response rate ORR that was defined as the proportion of patients with complete response (CR) or partial response (PR) according to Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. Other secondary endpoints were treatment-related adverse events (AEs) and OS. AEs assessed by common terminology criteria for adverse events (CTCAE) 4.0 version. OS was defined as the time from the starting of pazopanib to death for any cause. Prior to treatment, Patient demographics, medical history, physical examination and disease characteristics were recorded in detail as the baseline data. Efficacy was evaluated i approximately every 3 months (±4 weeks), and safety assessments were carried out every 4 weeks. Tumor responses were evaluated based on the radiologist's assessment and the physician's clinical judgment.
Statistical analysis
Continuous variables are expressed as medians and ranges, and categorical variables are expressed as numbers and percentages. Evaluation of data were based on 95% confidence intervals (CIs) and point estimates. Median PFS and ORR were stratified by baseline characteristics, including age, the number of metastatic organs, baseline bone, lung, and liver metastasis etc. Kaplan-Meier analysis was used to analyze PFS and OS. Comparisons between arms were made using a log-rank test (one sided) that was stratified by an IMDC risk subgroup. To find the impact of baseline characteristics on efficacy outcomes, Cox proportional hazards regression models (for PFS and OS) were used. All analyses were performed using SPSS version 19 (IBM Corp.). A P value <0.05 was considered statistically significant.
Results
Patients and baseline demographics
A total of 32 patients, with a median age of 57 years (range 29–75 years), were selected, 23 of whom were men; 78.1% patients had an ECOG PS ≥2, and 71.9% patients were clear cell carcinoma. According to IMDC criteria, the percentages of patients with favorable risk (FR), intermediate risk (IR), and poor risk (PR) were 37.5%, 56.2%, and 6.3%, respectively. The median number of metastatic organs was 1 (range 1–5), and patients with 1 metastatic organ accounted for 53%. The remaining 47% of patients had 2 or more metastatic lesions, mostly involving the lungs and bone. Fifteen patients (46.9%) had pre-existing comorbidities, including hypertension, diabetes, cardio- and cerebrovascular disease, and immune-related disease. Hypertension (46.9%) was the most common comorbid illness. Seventeen (53.1%) patients received nephrectomy, with five of these patients experiencing cytoreductive nephrectomy. At the time of data collection, all patients were followed up. The median follow-up duration was 23.8 months [95% confidence interval (CI), 6.5–41.6 months]. The patients’ baseline demographics and clinical characteristics are summarized in Table 1.
Full table
Clinical outcomes
Median PFS was 18.3 months (95% CI: 15.9–20.7 months; Figure 1A). At the time of analysis, 12 patients (37.5%) were still in follow-up for progression. Of the all patients, objective progression was observed in 24 (75%). Median OS has not yet been reached. The 1-, 2- and 3-year survival probabilities were 90.6%, 78.1%, and 65.6%, respectively. Twelve patients (37.5%) died during the study, with the cause of death being the disease under study in 12 of 12 patients (100%). No patients showed complete response (CR), 12 patients had partial response (PR), and 18 patients had stable disease (SD), resulting in an ORR of 37.5%.
According to IMDC criteria, 12 (37.5%) patients had 0 factors, 12 (37.5%) had 1 factor, 6 (18.8%) had 2 factors, 1 (3.1%) had 3 factors, and 1 (3.1%) had 4 factors. Thus, 12 were classified into the FR subgroup (37.5%), 18 were classified into the IR subgroup (56.3%), and 2 were classified into the PR subgroup (6.2%). The ORR was the highest in the FR subgroup (58.3%), compared with IR subgroup and PR subgroup (Table 2). Median PFS showed a statistically significant difference among the subgroups (22.1 months in the FR subgroup, 17.1 months in the IR subgroup, and 5 months in the PR subgroup; P<0.001; Figure 1B). For the percentage of maximal tumor change, 30 tumors were downsized (Figure 2). Partial response was observed in 7 tumors (58.3%) in the FR subgroup, 5 (27.8%) tumors in the IR subgroup, and 0 tumors in PR subgroup.
Full table
The subgroup analyses are presented in Table 3. In the IR subgroup, median PFS was 17.8 months (95% CI: 15.7–19.9 months) and 8.0 months (95% CI: 3.3–12.9 months) for patients with 1 and 2 risk factors, respectively (Table 3). This means that patients who had 1 risk factor had longer median PFS. In the ECOG PS analysis, a higher ORR and median PFS were found for patients with PS <2 as compared to those with a PS ≥2. For ECOG PS <2, the ORR was 48%, and the median PFS was 20.1 months, compared to 0% and 8.1 months for patients with ECOG PS ≥2 (Table 3). Meanwhile, for the number of metastatic sites, patients with <1 metastasis site showed a higher ORR (64.7%) and median PFS (23.7 months) (Table 3). Finally, in the metastasis site analysis, patients with solitary lung metastasis showed the highest ORR (66.7%) and median PFS (22.1 months) (Table 3).
Full table
Prognostic factors for PFS
We used the univariable and multivariable Cox regression to analyze the prognostic factors for PFS among mRCC patients treated with pazopanib (Table 4). Univariate analyses identified 3 significant prognostic predictors for PFS, including prior nephrectomy, number of metastases, and bone metastasis. The results of multivariate analysis suggested that a shorter PFS was strongly associated with the following prognostic factors: >1 metastatic organ and PR.
Full table
Safety
Adverse events were reported in 30 patients (93.8%), the majority of which were Common Terminology Criteria for Adverse Events (CTCAE) grade 1 or 2 in severity. The 3 most common treatment-related AEs were change in hair color (69.0%), diarrhea (63.0%), and hypertension (50.0%). Change in hair color (69%), diarrhea (47%), fatigue (44%), and stomatitis (38%) were the most common grade 1–2 AEs. The 4 most common treatment-related grade 3 events were diarrhea (16.0%), hypertension (16.0%), hand-foot syndrome (16.0%), and increased alanine aminotransferase (ALT) (12.0%). No grade 4 toxicity was reported. In all, 32 patients (100%) started first-line pazopanib at 800 mg daily, and 16 (50%) of these patients required dose reductions due to AEs. The treatment-related AEs that occurred in at least 10% of patients are summarized in Table 5.
Full table
Discussion
Pazopanib is the first-line TKI treatment of mRCC patients and exerts an antiangiogenic effect that inhibits cancer cell proliferation and metastasis (5,13). The COMPARZ study demonstrated the non-inferiority of pazopanib versus sunitinib in PFS and OS on the basis of independent review committee (IRC) evaluation (7,8). According to the investigator assessment of the Chinese population analysis of the COMPARZ trial, no significant difference in median PFS was found between the two therapies, with 13.9 months for pazopanib and 14.3 months for sunitinib. Patients treated with sunitinib had a median OS of 29.5 months until follow-up, whereas median OS has not been reached for pazopanib. A significantly higher ORR was observed in the pazopanib group (investigator assessment: 41% versus 23%, P=0.0052; independent review: 35% versus 20%, P=0.0203) (9). This result indicated that pazopanib has a better tumor-shrinking effect than sunitinib in the Chinese population. However, there remains a need to validate the effectiveness in a real-world Chinses population outside of clinical trials. This retrospective study found that in first-line real-world Chinese mRCC patients, treatment with pazopanib was both well tolerated and effective. Pazopanib achieved an objective response in 37.5% of patients. The estimated median PFS was 18.3 months (95% CI: 15.9–20.7 months). These results compared favorably with the outcomes of the Chinese subgroup pooled analysis of the COMPARZ study, and indicate that Chinese patients may derive clinical benefits from pazopanib treatment.
The treatment of mRCC has entered an era where immunotherapy and targeted therapy coexist. The NCCN guidelines have recommended three immune combination therapies (nivolumab + ipilimumab, pembrolizumab + axitinib, avelumab + axitinib) and five targeted drugs (pazopanib, sunitinib, axitinib, cabozantinib, temsirolimus) as the first-line treatment (14). However, there is a lack of reliable biomarkers to guide oncologists in choosing between immunotherapy and targeted drugs. The IMDC model was still used externally to stratify mRCC patients in clinical trials and to guide mRCC patient prognosis (15). At 42 months of follow-up in the CheckMate 214 study, nivolumab plus ipilimumab demonstrated improved efficacy outcomes versus sunitinib in IR and PR patients. However, in FR patients, the ORR was 54.0% and 28.8% for sunitinib versus nivolumab + ipilimumab, respectively, while the median PFS was 28.8 and 17.0 months, respectively (16). This means that in FR patients, both ORR and median PFS can be improved with TKIs alone. In our real-world study, FR patients achieved a high ORR (58.3%) and longer median PFS (22.1 months) with pazopanib, compared with the IR and PR patients.
Based on Keynote 426 study, the survival benefit of pembrolizumab + axitinib was observed across all of the IMDC risk groups (17). Therefore the combination of pembrolizumab + axitinib was recommended as first-line treatment in the NCCN guidelines (14). However, in the 2020 updated analysis of Keynote-426, in FR patients, the 2-years OS rate was 85.3% and 87.7% for pembrolizumab + axitinib versus sunitinib (HR =1.06, 95% CI, 0.60–1.86, P=0.58), respectively, the median PFS was 20.8 and 18.0 months (HR =0.79, 95% CI, 0.51–1.09, P=0.078) (18). So in FR patients, the survival benefit of combination therapy versus sunitinib is not as obvious as in IR and PR patients. Treatment strategies for advanced renal cell carcinoma should focus on the entire treatment process. However, there is no clinical trial similar to SWICH and SWITH II study (19,20), which was designed to compare the overall survival of mRCC with the strategies of first-line immunotherapy followed by TKIs or first-line TKIs with subsequent immunotherapy. Furthermore, from the perspective of pharmacoeconomics, pembrolizumab + axitinib is not cost-effective when compared with sunitinib for mRCC patients as first-line therapy in China (21). Even in the United States, it is controversial whether the cost-effectiveness of combination therapy is superior to sunitinib for mRCC patients, especially for FR patients (22,23). Currently, in China, pazopanib has been included in the medical insurance and charity policy, and its treatment costs are similar to or even less than sunitinib. From this cost-effectiveness point of view, pazopanib may be the first-line treatment for patients with low-risk advanced renal cell carcinoma.
Apart from favorable risk, it is unclear whether all patients with intermediate risk should be treated by the same strategy, as the IR patient group in our study comprised 1 or 2 risk factors. The PRICINPAL (Prospective Observational Study of Pazopanib in Patients with Advanced Renal Cell Carcinoma) study, a large prospective real-world study, demonstrated that intermediate risk patients with 1 risk factor had a longer median PFS than those with 2 factors (24). In our study, we found that the median PFS was 17.8 months for those with 1 risk factor versus 8.0 months for those with 2 risk factors in the Chinese population. This result was in line with previous retrospective study, in which patients with 1 risk factor received longer PFS than those with 2 risk factors (25-27). In a Korean real-world study, complete response and partial response patients had favorable risk, a longer disease-free interval to systemic therapy, a greater proportion of lung metastasis, and less metastasis, compared with stable disease and progressive disease patients (28). Our clinical subgroup analysis outcomes also exhibited similar trends, including number of metastatic organs, site of metastatic organs, and ECOG PS. For PR and long median PFS patients in our study, we observed a greater proportion of patients with ECOG PS <2, more than 1 metastatic organ, and only lung metastasis. Our findings suggest that the intermediate prognostic risk model can be further stratified into Chinese mRCC patients, a subgroup composed of factor number, ECOG PS <2, 1 metastatic, organ, and only lung metastasis. This may lead to the greater prediction accuracy of pazopanib treatment outcomes. Our findings may increase the suitability of treatment choices for Chinese mRCC patients, particularly if applied to the real-world treatment of programmed cell death protein 1 (PD-1) combined with TKI vs. TKI therapy. Of course, based on the CheckMate 016 study, pazopanib in combination with pembrolizumab occurred unacceptable toxicity (29). So in the real world, we should try to avoid using pazopanib in combination with pembrolizumab. If this protocol is chosen, pazopanib must also be reduced to 600 mg/day or less for combination therapy, with attention to monitoring for AEs such as drug-induced hepatotoxicity. Despite the superior efficacy found with the combination of TKI and immunotherapy, the use of pazopanib monotherapy is still a viable option for mRCC patients, particularly in these subsets: patients with 1 risk factor, ECOG PS <2, 1 metastatic, organ, and only lung metastasis.
In addition to the above, our results found that that high tumor burden (>1 metastatic organ) and poor-risk were negative prognostic factors for PFS in mRCC patients, which consistent with previous pazopanib studies (28,30).
Overall, the safety of pazopanib observed in this study was similar to that observed in the COMPARZ Chinese subgroup pooled study (9). Diarrhea and hypertension were the most common AEs. The most concerning AE of increased alanine aminotransferase/aspartate transaminase was mainly grade 1–2, and cases of grade 3–4 AEs occurred less frequently than in other studies, including the COMPARZ trial. Compared with COMPARZ Chinese subgroup pooled analysis, bone marrow suppression and hepatotoxicity occurred in fewer cases, while diarrhea, hypertension, nausea, and hair color changes appeared more frequently. The AE profile was acceptable. Because the AE profile of pazopanib was different from sunitinib, the severity of hematologic toxicity and the hand-foot syndrome was mild, and the incident rate was lower than that of sunitinib. Therefore, pazopanib is suitable for patients with grade 3 or above hematologic AE and intolerability of hand-foot syndrome during sunitinib treatment (30-32). In a randomized, double-blind, crossover, controlled, phase III study to compare the quality of life (QOL) and drug safety of patients treated with pazopanib versus sunitinib (PISCES study), The primary endpoint was patient preference, assessed at 22 weeks. When asked about reasons for selecting one drug over another, about 70% selected pazopanib due to better QOL, compared with 22% of the sunitinib-treated patients and the remaining 8% of patients having no preference (33). Therefore, pazopanib could be a better first-line TKI for mRCC than sunitinib.
In our study, the median PFS reach to 18.3 months, longer than most reported studies (6,8,9,30). The following reasons may explain. There is a potential selection bias to this retrospective study. According to the investigator assessment of the Chinese population subgroup analysis of the COMPARZ trial, favorable-risk, intermediate-risk, and Poor-risk patients represented 22%, 64%, and 13%, respectively, of the pazopanib cohort (9). In our study, the composition ratio was 37.5%, 56.2%, and 6.3%. It follows that our study had a lower proportion of poor-risk patients with poor clinical outcomes compared to the COMPARZ trial. In addition, our single-center data showed that more than half of the patients in this study had previous renal resection, and 40% of the patients received local cytoreductive treatment (primary tumor resection, metastasis tumor resection, or stereotactic body radiation therapy). RCC is a highly heterogeneous malignant tumor. Theoretically, TKI treatment alone cannot inhibit multiple tumor cells with different mutation pathways, which will eventually lead to resistance to systemic therapy. On the other hand, cytoreductive surgery and other treatments reduce the tumor burden, objectively minimize drug-resistant tumor cell clones, delay the time of tumor resistance, and ultimately extend the effective time of therapy.
This study also had several limitations, including its small sample size, single-center data, short follow-up time, and retrospective design. However, our data were consistent and comparable with previous results reported in both randomized clinical trials and real-world studies. To more conclusively assess the real-world efficacy and safety of pazopanib in Chinese patients, large-sample, multicenter, prospective studies are needed. This way, a more precise evaluation and screening of the patient population can be realized.
Acknowledgments
The inclusion of co-authors reflects the fact that the work came from active collaboration between researchers and acknowledges input into team-based research.
Funding: This work was supported by grants from Natural Science Foundation of Fujian Province (2019J01153), and Startup Fund for scientific research, Fujian Medical University (2019QH1053).
Footnote
Reporting Checklist: The authors have completed the STROBE reporting checklist. Available at http://dx.doi.org/10.21037/tau-21-111
Data Sharing Statement: Available at http://dx.doi.org/10.21037/tau-21-111
Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/tau-21-111). The authors have no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. Ethical approval was obtained from the institutional ethics committee of Fujian Medical University Union Hospital (No. 2021KY011). The study was conducted in accordance with the Declaration of Helsinki (as revised in 2013), and written informed consent was provided by all patients prior to pazopanib treatment.
Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0/.
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(English Language Editor: J. Gray)