Literature DB >> 27286871

Variation in use of targeted therapies for metastatic renal cell carcinoma: Results from a Dutch population-based registry.

S De Groot1, S Sleijfer2, W K Redekop3, E Oosterwijk4, J B A G Haanen5, L A L M Kiemeney4,6, C A Uyl-de Groot3.   

Abstract

BACKGROUND: For patients with metastatic renal cell carcinoma (mRCC), targeted therapies have entered the market since 2006. The aims of this study were to evaluate the uptake and use of targeted therapies for mRCC in The Netherlands, examine factors associated with the prescription of targeted therapies in daily clinical practice and study their effectiveness in terms of overall survival (OS).
METHODS: Two cohorts from PERCEPTION, a population-based registry of mRCC patients, were used: a 2008-2010 Cohort (n = 645) and a 2011-2013 Cohort (n = 233). Chi-squared tests for trend were used to study time trends in the use of targeted therapy. Patients were grouped based on the eligibility criteria of the SUTENT trial, the trial that led to sunitinib becoming standard of care, to investigate the use of targeted therapies amongst patients fulfilling those criteria. Multi-level logistic regression was used to identify patient subgroups that are less likely to receive targeted therapies.
RESULTS: Approximately one-third of patients fulfilling SUTENT trial eligibility criteria did not receive any targeted therapy (29 % in the 2008-2010 Cohort; 35 % in the 2011-2013 Cohort). Patients aged 65+ years were less likely to receive targeted therapy in both cohorts and different risk groups (odds ratios range between 0.84-0.92); other factors like number of metastatic sites were of influence in some subgroups. Amongst treated patients, there was a decreasing trend in sunitinib use over time (p = 0.0061), and an increasing trend in pazopanib use (p = 0.0005).
CONCLUSIONS: Targeted therapies have largely replaced interferon-alfa as first-line standard of care. Nevertheless, many eligible patients in Dutch daily practice did not receive targeted therapies despite their ability to improve survival. Reasons for their apparent underutilisation should be examined more carefully.

Entities:  

Keywords:  Metastatic renal cell carcinoma; Overall survival; Population-based registry; Targeted therapy; Uptake and use

Mesh:

Substances:

Year:  2016        PMID: 27286871      PMCID: PMC4902930          DOI: 10.1186/s12885-016-2395-x

Source DB:  PubMed          Journal:  BMC Cancer        ISSN: 1471-2407            Impact factor:   4.430


Background

Kidney cancer accounts for about 3 % of all cancers with an estimated incidence of 115,200 in Europe in 2012 [1]. Renal cell carcinoma (RCC) represents 90 % of all kidney cancers [2]. The prognosis is relatively good for patients with localised disease, which can be treated with surgery, but the prognosis of patients with advanced or metastatic disease (mRCC) is poor [3]. Targeted therapies for mRCC have entered the market since 2006, sunitinib being the first. Sunitinib increased median progression-free survival (PFS) from five to 11 months [4], and overall survival (OS) from 22 to 26 months compared to interferon-alfa (IFN-a) in mRCC patients with a clear-cell histology [5]. Subsequently, it became standard of care for patients with a good or intermediate prognosis according to the Memorial Sloan Kettering Cancer Center (MSKCC) risk score [6]. Recently, the effectiveness of sunitinib was demonstrated in a broader ‘real-world’ population [7]. Bevacizumab (in combination with IFN-a) and pazopanib were added to guidelines as first-line therapies for patients with a good or intermediate prognosis in 2009 and 2010, respectively [6, 8]. For patients with a poor prognosis, temsirolimus was recommended [6] following the results of a multicentre, phase III trial in mRCC patients without any restrictions in histologic type, showing an increase in OS from seven to 11 months compared to IFN-a [9]. Furthermore, a number of second-line therapies have been added to guidelines, such as sorafenib, everolimus and axitinib [6, 10]. Obviously, full and swift implementation of guidelines into clinical practice is essential to maximise the benefits of new therapies. However, the adoption of innovations in cancer care is generally quite heterogeneous, and differs between countries, and regions within countries [11]. A study by Jonsson et al. showed widespread use of sunitinib in the eight of the countries they studied, despite small differences between countries [12]. Sorafenib was widely prescribed in France, while a very low uptake and use in the United Kingdom and the United States were found. Besides between-country variation, Jonsson et al. found within-country variation in Sweden and suggested that more detailed information is needed on the use of first- and second-line therapies, to determine the extent of potential under- and overconsumption in different regions and different patient populations [12]. The aims of this study were to evaluate the uptake and use of targeted therapies for mRCC in The Netherlands, examine factors associated with the prescription of targeted therapies in daily clinical practice and study their effectiveness in terms of OS.

Methods

Study population

A population-based registry (entitled PERCEPTION) was created to include patients with mRCC. The PERCEPTION registry consisted of two parts; a retrospective study and a prospective study. In the retrospective study, eligible patients were selected from the Netherlands Cancer Registry (NCR), which maintains a cancer registration database of all cancer patients in The Netherlands. Inclusion criteria for the retrospective study comprised a diagnosis of mRCC (i.e. metastases at initial presentation) of any histological subtype. Patients diagnosed from January 2008 until December 2010 in 42 of 51 hospitals (both general and academic) in four regions, covering approximately half of the country, were included. All patients were followed for a minimum of three years or until death (2008–2010 Cohort). The prospective study was designed differently in order to measure additional aspects of the disease, such as health-related quality of life (not reported in this study). In the prospective study, patients with RCC (all stages) of any histological subtype diagnosed from 2011 until June 30th 2013 in 25 of 32 hospitals (both general and academic) in three regions were included. In contrast to the 2008–2010 Cohort, this cohort also comprised patients with mRCC who were initially diagnosed with localised disease. Besides the NCR, the hospitals’ financing systems were used to select eligible patients at an early phase (for quality of life measurements). All patients were followed until the end of 2013 or until death (2011–2013 Cohort).

Data collection

Data on baseline demographics, clinical and laboratory factors were retrospectively collected from individual patient records by using uniform case report forms to ensure consistent data collection. Furthermore, data on treatment schemes and treatment endpoints (e.g. survival) were collected. Laboratory factors, such as haemoglobin and corrected calcium levels, were standardised according to routinely used reference values. Data were collected by personnel of the NCR and data collection stopped at the end of 2013.

Statistical analyses

To study differences in the proportion of patients receiving targeted therapy per half a year chi-squared tests were used. Exact tests were used to study possible time trends in the use of different therapies amongst treated patients. Additionally, chi-squared tests for trend were conducted. Then, the use of targeted therapies within risk groups was studied. Risk groups were created using a slightly modified version of the MSKCC risk score [3]; a time from initial diagnosis to metastatic diagnosis of less than one year was used as a risk factor instead of a time from initial diagnosis to initiation of treatment of less than one year, since many patients in the study population did not receive any targeted therapy, thereby making it impossible to calculate the time to treatment. Additionally, the WHO performance status was used instead of Karnofsky performance status. Furthermore, patients were grouped based on the eligibility criteria of the SUTENT trial [4], the trial that led to sunitinib becoming standard of care, to investigate the use of targeted therapies amongst patients fulfilling those criteria. Patients who had a clear-cell subtype, a WHO performance status of 0 or 1 and no brain metastases were classified as fulfilling the SUTENT trial eligibility criteria. To identify patient subgroups that are less likely to receive targeted therapies in daily clinical practice among patients fulfilling SUTENT trial eligibility criteria, multilevel mixed-effects logistic regression was used to account for between-hospital variance. At the patient-level, patient and disease characteristics were taken into account including baseline demographics, clinical and laboratory factors [13, 14]. Backward selection was used to select the covariates for the models; any non-significant covariates were excluded from the models one at a time. OS was calculated from the start of therapy until death from any cause or the date of last follow-up, whichever came first, using the Kaplan-Meier method. For patients not receiving any targeted therapy, OS was calculated from the date of diagnosis. Missing data regarding baseline characteristics were handled using multiple imputations by chained equations. This method generated imputations based on a set of imputation models, one for each variable with missing values [15]. All analyses were performed separately for the 2008–2010 Cohort and the 2011–2013 Cohort, because of differences in inclusion criteria, patient selection and duration of follow-up. The significance level was set at α = 0.10. Data analyses were conducted using STATA statistical analysis software (StataCorp. 2013. Stata Statistical Software: Release 13. College Station, TX: StataCorp LP).

Results

Patient and disease characteristics of the 2008–2010 Cohort

714 patients newly diagnosed with mRCC between 2008 and 2010 were identified. Of these patients 69 were excluded (Additional file 1: Figure S1), leaving 645 patients for data analysis. These patients were uniformly distributed across the three-year period since 213 patients were diagnosed in 2008, 216 in 2009 and 216 in 2010. Median follow-up was 3.3 years (95 % C.I.: 3.2–3.6). Table 1 shows the patient and disease characteristics for this cohort. Median age was 66 years (range 23–93) and the majority of patients was male (66 %). The distribution of patients according to the MSKCC risk score showed a high proportion of patients (58 %) with a poor prognosis (versus 42 % with an intermediate prognosis). Since all patients in the 2008–2010 Cohort presented with metastatic disease, none of them had a favourable prognosis (i.e. time from initial diagnosis was less than one year). Additional file 1: Table S1 provides the observed patient and disease characteristics (without imputations).
Table 1

Patient and disease characteristics 2008–2010 Cohort and 2011–2013 Cohort

2008–2010 Cohort: mRCC at the initial diagnosis (n = 621)2011–2013 Cohort: mRCC (n = 221)
Sex - n (%)
 Female21334 %6027 %
 Male40866 %16173 %
Median age - yr (range)6623–936627–93
Histology - n (%)
 Clear cell35457 %15269 %
 Othera 26743 %6931 %
WHO performance status - n (%)
 0–143069 %17881 %
 2–419131 %4219 %
Site of metastasis - n (%)
 One20633 %8739 %
 more than one41567 %13461 %
Liver metastasis - n (%)
 No50982 %17579 %
 Yes11218 %4621 %
Lung metastasis - n (%)
 No17328 %7433 %
 Yes44872 %14767 %
Bone metastasis - n (%)
 No39363 %15871 %
 Yes22837 %6329 %
Brain metastasis - n (%)
 No57192 %20090 %
 Yes508 %167 %
Haemoglobin - n (%)
 Normal20533 %8538 %
 < LLN41667 %13662 %
Neutrophil count - n (%)
 Normal38362 %15269 %
 > ULN23838 %6931 %
Platelet count - n (%)
 Normal45273 %15972 %
 > ULN16927 %6228 %
Albumin - n (%)
 Normal39163 %13059 %
 < LLN23037 %9141 %
Corrected serum calcium - n (%)
 Normal42168 %14063 %
 > ULN20032 %8137 %
Alkaline phosphatase - n (%)
 Normal43270 %15269 %
 > ULN18930 %6931 %
Lactate dehydrogenase - n (%)
 Normal37260 %17981 %
 >1.5 times ULN24940 %4219 %
Comorbidities - n (%)
 0–135657 %15168 %
 >126543 %6730 %
Time since RCC diagnosis
 > one yearNANA167 %
 < one yearNANA20492 %

NOTE: 24 patients in the 2008–2010 Cohort and 12 patients in the 2010–2013 Cohort were excluded from this table, since these patients received a metastasectomy (combined with a nephrectomy) with a possible curative intention, making systemic treatment redundant

Abbreviations: LLN lower limit of normal, ULN upper limit of normal, NA not applicable

amRCC was clinically established without histopathological confirmation in 17 % of patients and mRCC was classified as not otherwise specified without further subtyping in 13 % of patients (Cohort 2008–2010). It is likely that a substantial proportion of these patients had a clear cell subtype

Patient and disease characteristics 2008–2010 Cohort and 2011–2013 Cohort NOTE: 24 patients in the 2008–2010 Cohort and 12 patients in the 2010–2013 Cohort were excluded from this table, since these patients received a metastasectomy (combined with a nephrectomy) with a possible curative intention, making systemic treatment redundant Abbreviations: LLN lower limit of normal, ULN upper limit of normal, NA not applicable amRCC was clinically established without histopathological confirmation in 17 % of patients and mRCC was classified as not otherwise specified without further subtyping in 13 % of patients (Cohort 2008–2010). It is likely that a substantial proportion of these patients had a clear cell subtype

Uptake of targeted therapies and their use in daily clinical practice (2008–2010 Cohort)

Table 2 shows the first-line therapies used in the 2008–2010 Cohort. 336/645 patients (52 %) received a first-line therapy with the majority (282, 84 %) treated with sunitinib. The distribution of patients across first-line therapies (per half-year period) is presented in Fig. 1. There is evidence of a difference between the half-year periods in the proportion of patients receiving targeted therapy (p = 0.041), but the chi-squared test for trend did not yield a significant result. Furthermore, no shift was found in the use of first-line therapies amongst treated patients.
Table 2

Treatment patterns 2008–2010 Cohort and 2011–2013 Cohort

2008–2010 Cohort: mRCC at the initial diagnosis2011–2013 Cohort: mRCC
All patients (n = 645)Intermediate prognosis (n = 269)Poor prognosis (n = 376)All patients (n = 233)Favourable/intermediate prognosis (n = 136)Poor prognosis (n = 97)
No systemic therapy309 (48 %)105 (39 %)204 (54 %)94 (40 %)52 (38 %)42 (43 %)
First-line therapy336 (52 %)336 (100 %)164 (61 %)164 (100 %)172 (46 %)172 (100 %)139 (60 %)139 (100 %)84 (62 %)84 (100 %)55 (57 %)55 (100 %)
 Sunitinib282 (84 %)145 (88 %)137 (80 %)110 (79 %)66 (79 %)44 (80 %)
 Temsirolimus24 (7 %)5 (3 %)19 (11 %)3 (2 %)1 (1 %)2 (4 %)
 Sorafenib11 (3 %)7 (4 %)4 (2 %)4 (3 %)3 (4 %)1 (2 %)
 Bevacizumab + IFN-a6 (2 %)2 (1 %)4 (2 %)2 (1 %)1 (1 %)1 (2 %)
 Pazopanib4 (2 %)4 (2 %)0 (0 %)11 (8 %)7 (8 %)4 (7 %)
 IFN-a3 (1 %)0 (0 %)3 (2 %)1 (1 %)0 (0 %)1 (2 %)
 Everolimus3 (1 %)1 (1 %)2 (1 %)2 (1 %)1 (1 %)1 (2 %)
 Pazopanib-everolimus0 (0 %)0 (0 %)0 (0 %)3 (2 %)3 (4 %)0 (0 %)
 Other3 (1 %)0 (0 %)3 (2 %)3 (2 %)2 (2 %)1 (2 %)
Second-line therapy101 (16 %)101 (100 %)57 (21 %)57 (100 %)44 (12 %)44 (100 %)37 (16 %)37 (100 %)25 (18 %)25 (100 %)12 (12 %)12 (100 %)
 Everolimus40 (40 %)26 (46 %)14 (32 %)21 (57 %)12 (50 %)9 (75 %)
 Sorafenib28 (28 %)15 (26 %)13 (30 %)5 (14 %)4 (16 %)1 (8 %)
 Sunitinib14 (14 %)8 (14 %)6 (14 %)1 (3 %)1 (4 %)0 (0 %)
 Temsirolimus11 (11 %)4 (7 %)7 (16 %)3 (8 %)2 (8 %)1 (8 %)
 Pazopanib4 (4 %)2 (4 %)2 (5 %)5 (14 %)4 (16 %)1 (8 %)
 Bevacizumab + IFN-a1 (1 %)1 (2 %)0 (0 %)2 (5 %)2 (8 %)0 (0 %)
 Other3 (3 %)1 (2 %)2 (5 %)0 (0 %)0 (0 %)0 (0 %)
Fig. 1

Use of first-line drugs over time per half a year (2008–2010 Cohort)

Treatment patterns 2008–2010 Cohort and 2011–2013 Cohort Use of first-line drugs over time per half a year (2008–2010 Cohort) Of the 336 patients receiving first-line therapy, 101 patients (30 %) also received a second-line therapy, with everolimus being the most common (40 %), followed by sorafenib (28 %). There was an increasing trend in everolimus use over time (p < 0.0001) and a decreasing trend in sorafenib use (p < 0.0001); from 2010 onwards, everolimus largely replaced sorafenib.

Use of targeted therapies amongst patients with an intermediate prognosis (2008–2010 Cohort)

Forty-two percent (269/645) of the patients in the 2008–2010 Cohort had an intermediate prognosis. 105/269 patients (39 %) received no targeted therapy. Some (n = 15) of these patients received a metastasectomy (combined with a nephrectomy) with a possible curative intention, making systemic therapy redundant. 40 of the remaining 90 patients (44 %) who were given neither targeted therapy nor a metastasectomy (combined with a nephrectomy) fulfilled the SUTENT trial eligibility criteria, indicating that they might have been eligible for treatment with sunitinib or another targeted therapy. 164/269 patients (61 %) received a first-line treatment; the majority was treated with sunitinib (145/164; 88 %). Of the 145 patients treated with sunitinib, 102 fulfilled the SUTENT trial eligibility criteria. In patients fulfilling SUTENT trial eligibility criteria (including patients not receiving any targeted therapy and patients treated with sunitinib), patients with an abnormal neutrophil count (OR, 0.28; p = 0.045) were less likely to receive sunitinib, whereas patients with more than one metastatic site (OR, 3.35; p = 0.010) were more likely to receive sunitinib after adjustment for additional patient and disease characteristics (see frequencies in Table 3).
Table 3

Patient subgroups that are more of less likely to receive targeted therapy while fulfilling SUTENT trial eligibility criteria

2008–2010 Cohort: mRCC at the initial diagnosis2011–2013 Cohort: mRCC
Intermediate prognosis (n = 142)Poor prognosis (n = 99)Favourable/intermediate prognosis (n = 70)Poor prognosis (n = 39)
No targeted therapy (n = 40)Sunitinib (n = 102)No targeted therapy (n = 29)Sunitinib (n = 70)No targeted therapy n = 25Sunitinib n = 45No targeted therapy n = 13Sunitinib n = 26
Sex – n (%)
 FemaleNSNSNSNS2 (8 %)15 (33 %)NSNS
 MaleNSNSNSNS23 (92 %)30 (67 %)NSNS
Median age – yr (range)71 (43–84)62 (23–89)71 (44–79)61 (39–79)72 (57–82)63 (42–79)
Site of metastasis – n (%)
 one25 (62 %)38 (37 %)15 (53 %)20 (29 %)NSNSNSNS
 more than one15 (38 %)64 (63 %)14 (47 %)50 (71 %)NSNSNSNS
Neutrophil count – n (%)
 normal27 (68 %)87 (85 %)NSNSNSNSNSNS
 > ULN13 (33 %)15 (15 %)NSNSNSNSNSNS
Comorbidities
 Zero or oneNSNS15 (52 %)52 (74 %)NSNSNSNS
 More than oneNSNS14 (48 %)18 (26 %)NSNSNSNS

NOTE: This table shows patient subgroups that are more or less likely to receive targeted therapy (i.e. first-line sunitinib) among patients fulfilling SUTENT trial eligibility criteria (according to the multi-level mixed-effects models). The multi-level models initially included all patient and disease characteristics as mentioned in Table 1 (besides hospital of diagnosis). Not significant (NS) means that this variable was not significantly associated to prescription of sunitinib at α = 0.10 in a particular risk group/cohort

Abbreviations: NS not significant

Patient subgroups that are more of less likely to receive targeted therapy while fulfilling SUTENT trial eligibility criteria NOTE: This table shows patient subgroups that are more or less likely to receive targeted therapy (i.e. first-line sunitinib) among patients fulfilling SUTENT trial eligibility criteria (according to the multi-level mixed-effects models). The multi-level models initially included all patient and disease characteristics as mentioned in Table 1 (besides hospital of diagnosis). Not significant (NS) means that this variable was not significantly associated to prescription of sunitinib at α = 0.10 in a particular risk group/cohort Abbreviations: NS not significant The median OS of eligible patients not receiving any targeted therapy was 18.6 months (95 % C.I. 8.4–33.7). Table 4 presents the median OS in subgroups of patients with an intermediate prognosis treated with first-line sunitinib. Median OS of eligible patients treated with sunitinib was 14.8 months (95 % C.I. 10.8–16.1). Note that a different starting point was used for the survival analysis (compared to the survival analysis in patients not receiving any targeted therapy). The mean time from diagnosis to start of first-line sunitinib was 4.3 months (standard deviation [SD] 6.0).
Table 4

Overall survival in subgroups of patients treated with first-line sunitinib (Cohort 2008–2010 and Cohort 2011–2013)

2008–2010 Cohort: mRCC at the initial diagnosis2011–2013 Cohort: mRCC
nMedian OS in months (95 % C.I.)p-valuenMedian OS in months (95 % C.I.)p-value
All patients2829.1 (7.2–11.1)10910.1 (7.2–13.8)
Fulfilling SUTENT trial eligibility criteriaNo1106.5 (4.9–8.9)386.9 (3.4–10.9)
Yes17211.9 (8.8–14.6)0.00147112.1 (8.9-NR)0.0074
Brain metastasesNo2619.3 (7.6–11.9)10110.9 (7.8–18.0)
Yes214.3 (2.1–11.5)0.082082.5 (0.8–7.5)0.0125
WHO performance status0–124810.3 (8.4–13.0)10011.3 (7.8–18.0)
2–4343.3 (1.8–6.2)<0.000191.4 (0.6–7.5)<0.0001
HistologyClear cell20410.0 (7.6–13.3)8110.6 (7.2–20.3)
Non-clear cell786.9 (5.4–11.0)0.08092810.0 (3.5–13.8)0.3325
Age<65 years1628.9 (6.5–10.8)6411.3 (7.2–20.3)
> = 65 years12010.0 (6.5–13.8)0.83734510.0 (5.3–16.6)0.4294
Patients with an intermediate prognosis (or favourable prognosis)a 14514.6 (11.5–16.0)6516.6 (10.1-NR)
Fulfilling SUTENT trial eligibility criteriaNo4311.9 (6.5–18.3)2010.9 (2.7-NR)
Yes10214.8 (10.8–16.1)0.28974518.0 (10.1-NR)0.1212
Brain metastasesNo13614.6 (10.7–16.0)6116.6 (10.9-NR)
Yes911.9 (4.3–29.3)0.807246.9 (2.5-NR)0.2282
WHO performance status0–114314.4 (10.8–16.0)6416.6 (10.1-NR)
2–420.230410.2471
HistologyClear cell11114.8 (11.8–16.2)4918.0 (10.0-NR)
Non-clear cell3411.5 (6.3–17.7)0.19541613.8 (2.7-NR)0.3135
Age<65 years8710.8 (7.2–15.7)3612.1 (7.2-NR)
> = 65 years5816.1 (12.4–18.8)0.26062916.6 (8.5-NR)0.7157
Patients with a poor prognosis1376.1 (4.9–7.7)446.5 (3.4–10.0)
Fulfilling SUTENT trial eligibility criteriaNo674.7 (3.3–6.9)183.5 (1.3–7.8)
Yes706.8 (5.3–10.7)0.0145266.6 (3.8-NR)0.0720
Brain metastasesNo1256.5 (5.3–8.4)406.5 (3.8–10.1)
Yes122.1 (0.7–4.2)0.006241.2 (0.8-NR)0.0134
WHO performance status0–11056.9 (5.3–9.8)366.6 (3.8–10.1)
2–4323.1 (1.4–5.5)<0.000181.2 (0.6–7.5)0.0087
HistologyClear cell936.1 (4.6–7.8)326.5 (2.7–10.1)
Non-clear cell445.7 (3.7–10.3)0.6585124.1 (2.6-NR)0.9982
Age<65 years756.9 (4.9–9.8)287.8 (3.8–13.7)
> = 65 years625.4 (3.8–6.8)0.4044163.2 (1.1–6.6)0.0256

Abbreviations: C.I, confidence interval, NR not reached

aSince all patients in the 2008–2010 Cohort presented with metastatic disease, none of the patients had a favourable prognosis (i.e. time from initial RCC diagnosis was less than one year)

Overall survival in subgroups of patients treated with first-line sunitinib (Cohort 2008–2010 and Cohort 2011–2013) Abbreviations: C.I, confidence interval, NR not reached aSince all patients in the 2008–2010 Cohort presented with metastatic disease, none of the patients had a favourable prognosis (i.e. time from initial RCC diagnosis was less than one year) Median OS was 11.9 months (95 % C.I. 6.5–18.3) for ineligible patients treated with sunitinib, which was not significantly shorter than the OS of eligible patients treated with sunitinib. No significant differences were observed within the other subgroups.

Use of targeted therapies amongst patients with a poor prognosis (2008–2010 Cohort)

Fifty-eight percent (376/645) of the patients in the 2008–2010 Cohort, had a poor prognosis. 204/376 patients (54 %) did not receive any targeted therapy. Of these patients, 9 patients received a metastasectomy (combined with a nephrectomy). 29 of the remaining 195 patients (15 %) who were given neither targeted therapy nor a metastasectomy (combined with a nephrectomy) fulfilled the SUTENT trial eligibility criteria. 172/376 (46 %) patients received a first-line treatment, which was mainly sunitinib (137/376; 80 %). Of the 137 patients treated with sunitinib, 70 fulfilled the SUTENT trial eligibility criteria. Amongst patients fulfilling SUTENT trial eligibility criteria, older patients (OR, 0.90; p = 0.006) and patients with more than one comorbidity (OR, 0.26; p = 0.090) were less likely to receive sunitinib, whereas patients with more than one metastatic site (OR, 5.38; p = 0.034) were more likely to receive sunitinib (see frequencies in Table 3). Furthermore, a significant association was found between hospital of diagnosis and prescription of sunitinib (p = 0.0059). Median OS of eligible patients not receiving any targeted therapy was 6.2 months (95 % C.I. 1.7–9.9). Table 4 shows the median OS in subgroups of patients with a poor prognosis treated with first-line sunitinib. Median OS of eligible patients treated with sunitinib was 6.8 months (95 % C.I. 5.3–10.7). The mean time from diagnosis to start of first-line sunitinib was 2.9 months (SD 5.5). Median OS was significantly reduced in poor-prognosis patients treated with sunitinib but not fulfilling the SUTENT trial eligibility criteria (4.7 months, 95 % C.I. 3.3–6.9). Additionally, OS was significantly reduced in patients with brain metastases and patients with a WHO performance status of 2–4.

Patient and disease characteristics of the 2011–2013 Cohort

The second cohort study included 791 patients with (m)RCC diagnosed between 2011 and 2013. Of these patients, 233 had metastatic disease; 75 in 2011, 102 in 2012 and 55 in 2013 (one unknown). Median follow-up of the patients with mRCC was 1.2 years (95 % C.I. 1.1–1.4). Table 1 shows the patient and disease characteristics of the patients with mRCC in this cohort. Median age was 66 years, and 73 % (170/233) of the patients was men. Metastatic disease was present in 77 % (179/233) of patients at the time of diagnosis, whereas 23 % was initially diagnosed with localised disease. In this cohort, 4 % of the patients with mRCC had a favourable prognosis, whereas 54 % and 42 % had an intermediate or poor prognosis, respectively.

Uptake of targeted therapies and their use in daily clinical practice (2011–2013 Cohort)

Table 2 shows the first-line therapies used in the 2011–2013 Cohort. During the follow-up period, 139/233 (60 %) patients received a first-line therapy; the majority (110, 79 %) was treated with sunitinib. The distribution of patients across first-line therapies over time (half-year periods) is presented in Fig. 2. There were no significant differences between the half-year periods in the proportion of patients receiving targeted therapies. However, amongst treated patients, there was a decreasing trend in sunitinib use over time (p = 0.0061) and an increasing trend in pazopanib use (p = 0.0005).
Fig. 2

Use of first-line drugs over time per half a year (2011–2013 Cohort)

Use of first-line drugs over time per half a year (2011–2013 Cohort) Thirty-seven patients also received a second-line therapy within the follow-up period. The majority was treated with everolimus (57 %), but a decreasing trend in everolimus use over time was observed (p = 0.0020).

Use of targeted therapies amongst patients with a favourable or intermediate prognosis (2011–2013 Cohort)

136/233 patients (58 %) had a favourable or intermediate prognosis. 52/136 patients (38 %) did not receive any targeted therapy within the follow-up period. However, 12 of these 52 patients received a metastasectomy (combined with a nephrectomy). 25 of the remaining 40 patients (63 %) who were given neither targeted therapy nor a metastasectomy (combined with a nephrectomy) fulfilled the SUTENT trial eligibility criteria. In addition, 45 of the 66 patients treated with sunitinib fulfilled the SUTENT trial eligibility criteria. Amongst patients fulfilling SUTENT trial eligibility criteria, males (OR, 0.12; p = 0.020) and older patients (OR, 0.92; p = 0.011) were less likely to receive sunitinib after adjustment for additional patient and disease characteristics (see frequencies in Table 3). Median OS of eligible patients not receiving any targeted therapy was 20.9 months (95 % C.I. 7.4-not reached [NR]). Table 4 presents the median OS in subgroups of patients with a favourable or intermediate prognosis treated with first-line sunitinib. Median OS of eligible patients treated with sunitinib was 18.0 months (95 % C.I. 10.1-NR). The mean time from diagnosis to start of first-line sunitinib was 2.1 months (SD 3.3). Median OS was 10.9 months (95 % C.I. 2.7-NR) for patients treated with sunitinib but not fulfilling SUTENT trial eligibility criteria. No significant differences were observed within subgroups.

Use of targeted therapies amongst patients with a poor prognosis (2011–2013 Cohort)

97/233 patients (42 %) had a poor prognosis. Forty-two patients (43 %) did not receive any targeted therapy; thirteen of these 42 patients (31 %) fulfilled the SUTENT trial eligibility criteria. Of the 44 patients treated with sunitinib, 26 fulfilled the SUTENT trial eligibility criteria. Of patients fulfilling SUTENT trial eligibility criteria, older patients (OR, 0.84; p = 0.012) were less likely to receive sunitinib (see frequencies in Table 3). The unadjusted model showed a significant association between hospital of diagnosis and the prescription of sunitinib, but this association disappeared after adjustment for demographics, clinical and laboratory factors. Median OS of eligible patients not receiving any targeted therapy was 3.4 months (95 % C.I. 0.8- NR). Table 4 shows the median OS in subgroups of patients with a poor prognosis treated with first-line sunitinib. Median OS of eligible patients treated with sunitinib was 6.6 months (95 % C.I. 3.8-NR). The mean time from diagnosis to start of first-line sunitinib was 1.9 months (SD 1.8). Median OS was significantly reduced in patients not fulfilling the SUTENT trial eligibility criteria (3.5 months, 95 % C.I. 1.3–7.8). Additionally, as in the 2008–2010 Cohort, median OS was significantly reduced in patients with brain metastases and patients with a WHO performance status of 2–4. OS was also significantly reduced in older patients.

Discussion

Since 2006, several new targeted therapies for mRCC have entered the market and randomised controlled trial (RCTs) have shown that these therapies improve survival [4, 5, 9, 16–27]. This study examined the uptake and use of targeted therapies in The Netherlands. Not unexpected, targeted therapies, sunitinib in particular, have largely replaced IFN-a as first-line standard of care. Few patients were treated with bevacizumab (combined with IFN-a) or temsirolimus in the 2008–2013 period, even though these therapies were added to the ESMO guidelines in 2009 [6], and to Dutch guidelines in 2010 [6]. Pazopanib has only been recommended since 2010 [8], which partly explains why an increase in its use was only seen from 2012. Furthermore, there was a shift in the use of second-line therapies, where sorafenib was replaced by everolimus as the most frequent choice from 2010 onwards. The median OS of patients with an intermediate prognosis treated with sunitinib in Dutch daily practice and fulfilling the SUTENT trial eligibility criteria was shorter than the median OS of patients in the SUTENT trial with an intermediate prognosis, i.e. 14.8 months (95 % C.I. 10.8–16.1) in the 2008–2010 Cohort compared to 20.7 months (95 % C.I. 18.2–25.6) in the SUTENT trial [5]. However, the difference was much smaller for the 2011–2013 Cohort (median OS, 18.0 months (95 % C.I. 10.1-NR)) compared to the SUTENT trial patients. Median OS of patients with a poor prognosis fulfilling the SUTENT trial eligibility criteria was similar to the median OS found in the SUTENT trial, i.e. 6.8 months (95 % C.I. 5.3–10.7) in the 2008–2010 Cohort and 6.6 months (95 % C.I. 3.8-NR) in the 2011–2013 Cohort compared to 5.3 months (95 % C.I. 4.2–10.0) in the SUTENT trial [5]. The median OS of patients with an intermediate prognosis treated with sunitinib in Dutch daily practice (regardless of their SUTENT trial eligibility status) was shorter than the OS in the expanded-access trial [7]. Median OS of patients with a poor prognosis was in line with the results of the expanded-access trial. The median OS of patients with an intermediate prognosis treated with sunitinib in Dutch daily practice was also shorter than the OS in a retrospective, non-interventional study in Australia [28]. These findings may indicate that the patients in the PERCEPTION registry with an intermediate risk had a worse prognosis than the patients with an intermediate risk in other studies. While previous studies suggest that patients fulfilling SUTENT trial eligibility criteria have a survival benefit from first-line sunitinib [5], many eligible patients did not receive sunitinib (or any other targeted therapy) in daily practice. This was also seen in England where one in three patients with mRCC eligible for either sunitinib or pazopanib did not receive the drug [29]. Patients aged 65+ years were less likely to receive targeted therapy than younger patients after adjustment for other factors. This age factor was found in patients with an intermediate prognosis (2011–2013 Cohort) and in patients with a poor prognosis (2008–2010 Cohort and 2011–2013 Cohort). There are several explanations for this association, including medical contraindications, other grounds for physician reluctance, and patient refusal. Additionally, patients with one metastatic site were less likely to receive sunitinib (according to the 2008–2010 Cohort results), which might be explained by patients with low volume but unresectable metastases whose targeted therapy is delayed. Nevertheless, most of these patients died within the follow-up period without receiving targeted therapy at any point in time. The reasons for apparent underutilisation of targeted therapies should be examined more carefully. While hospital-level factors may also affect utilisation and lead to between-hospital variation, we found no significant differences in the prescription of targeted therapy between hospitals, except for the patients with a poor prognosis in the 2008–2010 Cohort. However, the sample size per hospital was small and the statistical power to show a difference was therefore limited. Although this study mainly focussed on patients fulfilling SUTENT trial eligibility criteria, we found that many patients in daily clinical practice are different from patients included in RCTs. In the total study population, only 42 % and 58 % fulfilled the SUTENT trial eligibility criteria in the 2008–2010 Cohort and 2011–2013 Cohort, respectively. This was partly caused by the inclusion criteria of the PERCEPTION registry, which consisted of a diagnosis of mRCC (i.e. metastases at initial presentation in the 2008–2010 Cohort) of any histological subtype. Since many patients are excluded from clinical trials, such as patients with a non clear-cell subtype, patients with a WHO performance status of 2 to 4 and patients with brain metastases, one could argue that the results of these trials only apply to a subgroup of patients. A limitation of this study is the amount of missing data in baseline characteristics, which is inherent to an observational study. To overcome this problem, multiple imputations by chained equations were conducted, which ensure that all patients are included in the analysis but simultaneously ensure that the uncertainties from missing data are retained [15]. Additionally, eligibility criteria, such as the presence of measurable disease and adequate organ function were not taken into account when determining whether patients fulfilled the SUTENT trial eligibility criteria, since data on these criteria were lacking in the PERCEPTION registry. As a consequence, some of the patients that we labelled as eligible in this study were not in fact eligible for targeted therapy. However, since we used WHO performance status to classify patients, and since we expect a relationship between WHO performance status and organ function, we believe that this could only have had a limited effect on our conclusions about the uptake and use of targeted therapies. Furthermore, the follow-up length of the 2011–2013 Cohort was limited. As a consequence, patients might have received targeted therapy after the follow-up period, leading to an underestimate of actual targeted therapy use. However, this limitation is only relevant for patients treated later in the 2011–2013 period who did not die. Lastly, OS was calculated from the date of diagnosis (i.e. metastatic disease) for patients not receiving any targeted therapy and from the start of therapy for patients treated with targeted therapy; as a consequence a comparison between the two is impossible. This approach was based on the one used in other studies to enable comparisons between the OS of patients treated with sunitinib in our study with the OS of patients treated with sunitinib in other studies [5, 7, 28].

Conclusions

In conclusion, targeted therapies, sunitinib in particular, have largely replaced IFN-a as the first-line standard of care in The Netherlands. Nevertheless, many patients in Dutch daily practice fulfilling SUTENT trial eligibility criteria did not receive sunitinib (or any other targeted therapy) even though it could improve their survival. For example, older patients were less likely to receive sunitinib, perhaps because physicians are reluctant to prescribe it. The reasons for apparent underutilisation of targeted therapies should be examined more carefully.

Abbreviations

C.I., confidence interval; IFN-a, interferon-alfa; mRCC, metastatic renal cell carcinoma; MSKCC, Memorial Sloan Kettering Cancer Center; NCR, Netherlands Cancer Registry; NR, not reached; OS, overall survival; PERCEPTION, PharmacoEconomics in Renal CEll carcinoma: a PopulaTION-based registry; PFS, progression-free survival; RCC, renal cell carcinoma; RCT, randomised controlled trial; SD, standard deviation.
  26 in total

1.  Renal cell carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  B Escudier; V Kataja
Journal:  Ann Oncol       Date:  2010-05       Impact factor: 32.976

Review 2.  Renal cell carcinoma: ESMO clinical recommendations for diagnosis, treatment and follow-up.

Authors:  B Escudier; V Kataja
Journal:  Ann Oncol       Date:  2009-05       Impact factor: 32.976

3.  Renal cell carcinoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors:  B Escudier; T Eisen; C Porta; J J Patard; V Khoo; F Algaba; P Mulders; V Kataja
Journal:  Ann Oncol       Date:  2012-10       Impact factor: 32.976

4.  Sorafenib in advanced clear-cell renal-cell carcinoma.

Authors:  Bernard Escudier; Tim Eisen; Walter M Stadler; Cezary Szczylik; Stéphane Oudard; Michael Siebels; Sylvie Negrier; Christine Chevreau; Ewa Solska; Apurva A Desai; Frédéric Rolland; Tomasz Demkow; Thomas E Hutson; Martin Gore; Scott Freeman; Brian Schwartz; Minghua Shan; Ronit Simantov; Ronald M Bukowski
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

5.  Sunitinib versus interferon alfa in metastatic renal-cell carcinoma.

Authors:  Robert J Motzer; Thomas E Hutson; Piotr Tomczak; M Dror Michaelson; Ronald M Bukowski; Olivier Rixe; Stéphane Oudard; Sylvie Negrier; Cezary Szczylik; Sindy T Kim; Isan Chen; Paul W Bycott; Charles M Baum; Robert A Figlin
Journal:  N Engl J Med       Date:  2007-01-11       Impact factor: 91.245

Review 6.  Prognostic factors and predictive models in renal cell carcinoma: a contemporary review.

Authors:  Maxine Sun; Shahrokh F Shariat; Christopher Cheng; Vincenzo Ficarra; Masaru Murai; Stéphane Oudard; Allan J Pantuck; Richard Zigeuner; Pierre I Karakiewicz
Journal:  Eur Urol       Date:  2011-06-30       Impact factor: 20.096

7.  Phase 3 trial of everolimus for metastatic renal cell carcinoma : final results and analysis of prognostic factors.

Authors:  Robert J Motzer; Bernard Escudier; Stephane Oudard; Thomas E Hutson; Camillo Porta; Sergio Bracarda; Viktor Grünwald; John A Thompson; Robert A Figlin; Norbert Hollaender; Andrea Kay; Alain Ravaud
Journal:  Cancer       Date:  2010-09-15       Impact factor: 6.860

8.  Patterns of care for metastatic renal cell carcinoma in Australia.

Authors:  Daphne Day; Yada Kanjanapan; Edmond Kwan; Desmond Yip; Nathan Lawrentschuk; Miles Andrews; Ian D Davis; Arun A Azad; Mark Rosenthal; Shirley Wong; Alice Johnstone; Peter Gibbs; Ben Tran
Journal:  BJU Int       Date:  2015-07-21       Impact factor: 5.588

9.  Cancer incidence and mortality patterns in Europe: estimates for 40 countries in 2012.

Authors:  J Ferlay; E Steliarova-Foucher; J Lortet-Tieulent; S Rosso; J W W Coebergh; H Comber; D Forman; F Bray
Journal:  Eur J Cancer       Date:  2013-02-26       Impact factor: 9.162

10.  Prognostic factors for survival in 1059 patients treated with sunitinib for metastatic renal cell carcinoma.

Authors:  R J Motzer; B Escudier; R Bukowski; B I Rini; T E Hutson; C H Barrios; X Lin; K Fly; E Matczak; M E Gore
Journal:  Br J Cancer       Date:  2013-05-21       Impact factor: 7.640

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1.  Genome-Wide Meta-Analysis Identifies Variants in DSCAM and PDLIM3 That Correlate with Efficacy Outcomes in Metastatic Renal Cell Carcinoma Patients Treated with Sunitinib.

Authors:  Meta H M Diekstra; Jesse J Swen; Loes F M van der Zanden; Sita H Vermeulen; Epie Boven; Ron H J Mathijssen; Koya Fukunaga; Taisei Mushiroda; Fumiya Hongo; Egbert Oosterwijk; Anne Cambon-Thomsen; Daniel Castellano; Achim Fritsch; Jesus Garcia Donas; Cristina Rodriguez-Antona; Rob Ruijtenbeek; Marius T Radu; Tim Eisen; Kerstin Junker; Max Roessler; Ulrich Jaehde; Tsuneharu Miki; Stefan Böhringer; Michiaki Kubo; Lambertus A L M Kiemeney; Henk-Jan Guchelaar
Journal:  Cancers (Basel)       Date:  2022-06-08       Impact factor: 6.575

2.  Health-related quality of life and its determinants in patients with metastatic renal cell carcinoma.

Authors:  S de Groot; W K Redekop; M M Versteegh; S Sleijfer; E Oosterwijk; L A L M Kiemeney; C A Uyl-de Groot
Journal:  Qual Life Res       Date:  2017-09-15       Impact factor: 4.147

3.  Potential health gains for patients with metastatic renal cell carcinoma in daily clinical practice: A real-world cost-effectiveness analysis of sequential first- and second-line treatments.

Authors:  S De Groot; H M Blommestein; W K Redekop; S Sleijfer; L A L M Kiemeney; E Oosterwijk; C A Uyl-de Groot
Journal:  PLoS One       Date:  2017-05-22       Impact factor: 3.240

4.  High competing risks minimize real-world utility of adjuvant targeted therapy in renal cell carcinoma: a population-based analysis.

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