Literature DB >> 26894858

Efficacy and safety of sorafenib versus sunitinib as first-line treatment in patients with metastatic renal cell carcinoma: largest single-center retrospective analysis.

Xinan Sheng1, Zhihong Chi1, Chuanliang Cui1, Lu Si1, Siming Li1, Bixia Tang1, Lili Mao1, Bin Lian1, Xuan Wang1, Xieqiao Yan1, Jun Guo1.   

Abstract

We conducted this largest, single-center, retrospective study to determine the efficacy of sorafenib versus sunitinib as first-line therapy for metastatic renal cell carcinoma (mRCC) in Chinese patients to validate the potential data on direct comparison of the efficacy of first-line treatment with sorafenib and sunitinib in the treatment of mRCC. From November 2006 to March 2015, we reviewed medical records from Peking University Cancer Hospital and found 169 patients receiving sorafenib (400 mg orally BID continuously in a 4-week cycle) and 165 patients receiving sunitinib (50 mg orally daily in a 6-week cycle; 4/2 schedule) as the first-line targeted therapy. Median follow-up was 23.0 months. In sorafenib and sunitinib groups, there is no significant difference in progression-free survival (PFS) (9.0 months [95%CI:8.00-12.00] vs 11.0 months [95%CI:9.00-14.00], respectively; P=0.6289) and overall survival (OS) (28.0 months [95%CI:24.00-34.00] vs 28.0 months [95% CI:19.00-33.00], respectively; P=0.979). Subgroup analysis based on Karnofsky performance status (KPS), pathological type, Memorial Sloan Kettering Cancer Center score, and metastasis was also conducted. Multivariate analysis revealed that sorafenib treated patients had superior efficacy in patients with a KPS of <90 and significantly better PFS (hazard ratio: 0.460 [95% CI:0.222-0.954]). Most common adverse events were hand-foot skin reaction and thrombocytopenia which were manageable. Overall, no significant differences were seen between sorafenib and sunitinib in the treatment of advanced renal cancer. However, fewer toxicities associated with sorafenib and superior efficacy in subgroups (non-clear cell carcinoma and KPS <90) indicates sorafenib as an effective first-line treatment agent in patients with mRCC.

Entities:  

Keywords:  efficacy; metastatic renal cell carcinoma; retrospective; sorafenib; sunitinib

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Year:  2016        PMID: 26894858      PMCID: PMC5053631          DOI: 10.18632/oncotarget.7395

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


INTRODUCTION

The advent of novel targeted molecular therapies has completely changed the therapeutic landscape of metastatic renal cell carcinoma (mRCC). Because these therapies have better efficacy and tolerability than cytokine therapy and have drastically improved prognosis, these are now considered as the clinically relevant first- and second-line treatment approaches for patients with mRCC [1]. Currently, seven targeted agents have been approved for the treatment of mRCC, all of which showed efficacy and tolerable safety in large phase III clinical trials. Among them, six targeted agents are recommended for first-line treatment of mRCC patients with favorable and intermediate risk [2, 3]. Temsirolimus has been a preferred choice for poor prognosis patients. For the favorable and intermediate risk patients, selecting the first-line regimen for a particular patient has become a hard decision for clinicians [3]. There were two phase III trials compared the targeted agents in the first line setting, for example pazopanib versus sunitinib (COMPARZ study) and axitinib versus sorafenib for the first line treatment [4,5]. However, till date limited reported data is available on the direct comparison between the other targeted agents. Both sorafenib and sunitinib are oral multikinase inhibitors that target tumor proliferation and angiogenesis by inhibiting VEGFRs, platelet-derived growth factor receptors (PDGFRs), FMS-like tyrosine kinase 3 (Flt-3), c-Kit protein, and RET receptor tyrosine kinases; however, they do not have identical kinase inhibition profiles [6-8]. The target site for both the drugs is VEGFR 1–3, platelet-derived growth factor receptor, and c-Kit. In addition, sorafenib inhibits intracellular serine/threonine kinases such as C-Raf, wild-type B-Raf, and mutant B-Raf. It also has a potent antiangiogenic and proapoptotic activity, thereby representing a marked antitumoral effect [3, 6–10]. Evidence-based medicine suggested sorafenib as the second-line treatment after cytokine therapy (category 1) and its use as the first-line agent is only in selected patients (category 2A) [11]. However, compared with Western patients with advanced or metastatic RCC, Chinese patients with the same disease respond better to sorafenib as first-line targeted therapy [7, 12]. Moreover, results from TIVO-1 trial suggested that sorafenib as a first-line mRCC therapy yielded progression-free survival (PFS) of 9.1 months [13]. It is noteworthy that sorafenib is widely recommended in the China as first-line therapy for mRCC because of its significant efficacy and safety profile [7, 14, 15]. Sunitinib demonstrated longer overall survival compared with IFN-alpha (26.4 v 21.8 months, respectively) plus improvement in response and PFS in the first-line treatment of patients with metastatic RCC in phase III clinical trials. The overall survival event profiles highlight an improved prognosis in patients with RCC indicating a better treatment modality in the era of targeted therapy [16]. Despite the established efficacy of both the drugs, to date, there exists only one retrospective analysis from South Korea which indicated that sorafenib has comparable efficacy to sunitinib in the treatment of mRCC patients and fewer and less severe toxicities; however, definite conclusion cannot be drawn owing to small sample size [17]. Furthermore, previous analyses have different limitations with different prognostic or predictive factors and clinical studies directly comparing these multikinase inhibitors are still lacking. Overall, there still remains a paucity of information to validate the potential data on direct comparison of the efficacy of first-line treatment with sorafenib and sunitinib in the treatment of mRCC. Hence, we conducted this largest retrospective study to primarily evaluate the efficacy and safety of first-line targeted agents (sorafenib versus sunitinib) administered in Chinese patients with mRCC. We also determined the factors predictive of PFS/OS with sorafenib or sunitinib.

RESULTS

Patient demographics and clinical characteristics

A total of 334 consecutive patients with mRCC who received first-line VEGF TKI treatment were screened from November 2006 to March 2015. Of these patients, 169 received sorafenib and 165 received sunitinib. The baseline characteristics were relatively well balanced between both the groups. Overall, the median age of the patients was 55 years, and majority of the patients were men (75.22%). Most of the patients had clear cell carcinoma (82.69%). Most of the patients received nephrectomy (98.2%), 74 out of these patients suffered cytoreductive nephrectomy and 5 patients without cytoreductive nephrectomy. The patient baseline demographic and clinical characteristics are summarized in Table 1.
Table 1

Baseline characteristics

ItemOverall population, n (%) (N = 335)Sorafenib, n (%) (n = 169)Sunitinib, n (%) (n = 166)P value
Median age (years)5554550.3445
Sex
 Male252 (75.22)125 (73.96)127 (76.51)0.5901
Pathological type
 Clear cell carcinoma277 (82.69)136 (80.47)141 (84.94)
 Non-clear cell carcinoma58 (17.31)33 (19.53)25 (15.06)
Subtypes0.2800
 Papillary carcinoma22 (6.57)11 (6.51)11 (6.63)
 Sarcomatoid20 (5.97)14 (8.28)6 (3.61)
 Collecting duct carcinoma8 (2.39)5 (2.96)3 (1.81)
 Chromophobe carcinoma1 (0.29)0 (0.00)1 (0.60)
 Medullary carcinoma1 (0.30)1 (0.59)0 (0.00)
 Chromosome translocation carcinoma4 (1.19)1 (0.59)3 (1.81)
 Not elsewhere classifiable2 (0.60)1 (0.60)1 (0.60)
MSKCC risk group0.0341
 N (missing)326 (9)162 (7)164 (2)
 Favorable risk123 (37.73)56 (34.57)67 (40.85)
 Intermediate risk182 (55.83)90 (55.55)92 (56.10)
 Poor21 (6.44)16 (9.88)5 (3.05)
Heng score0.0017
 N (missing)325 (10)161 (8)164 (2)
 Favorable risk123 (37.85)55 (34.16)66 (41.46)
 Intermediate risk169 (52.00)80 (49.69)89 (54.27)
 Poor risk33 (10.15)26 (16.15)7 (4.27)
Presence of bone metastasis0.3650
 Yes119 (35.52)64 (37.87)55 (33.13)
Presence of pulmonary metastasis0.1943
 Yes252 (75.22)122 (72.19)130 (78.31)
Number of metastatic organs0.6428
 1115 (34.33)56 (33.14)59 (35.54)
 ≥2220 (65.67)113 (66.86)107 (64.46)
Use of second-line therapy0.1096
 Yes94 (28.06)54 (31.95)40 (24.10)

MSKCC, Memorial Sloan Kettering Cancer Center

MSKCC, Memorial Sloan Kettering Cancer Center

Efficacy of sorafenib versus sunitinib

At the date of censor, the median follow-up duration for all the patients was 23.0 months (95% CI: 20.5-25.5months). No significant differences in PFS were seen between the standard dose sorafenib and sunitinib groups (9.0 months [95% CI: 8.00-12.00] vs 11.0 months [95% CI: 9.00-14.00], respectively; P = 0.6289). However, an improved median PFS with prolonged survival was observed in patients receiving all dose sorafenib including escalated compared with those receiving sunitinib (17.0 months [95% CI: 13.00-19.00] vs 11.0 months [95% CI: 9.00-14.00], respectively; P = 0.0062; Figure 1A). No significant differences in OS were seen between the sorafenib and sunitinib groups (28.0 months ([95% CI: 24.00-34.00] vs 28.0 months [95% CI: 19.00-33.00], respectively; P = 0.979; Figure 1B).
Figure 1

A. Comparison of PFS among sorafenib (all dose including escalated) versus sunitinib-treated patients. B. Comparison of OS among sorafenib versus sunitinib-treated patients.

A. Comparison of PFS among sorafenib (all dose including escalated) versus sunitinib-treated patients. B. Comparison of OS among sorafenib versus sunitinib-treated patients. As per subgroup analysis, patients with non-clear cell renal cancer taking sorafenib showed the median PFS was numerically longer than with sunitinib, but the difference was not significant (8.50 months [95% CI: 5.00-10.00] vs 4.0 months [95% CI: 3.00-7.00]; P = 0.1221). There was significantly superior in OS (13.0 months [95% CI: 11.00-26.00] vs 10.0 months [95% CI: 7.50.00-14.00]; P = 0.0232; Figure 2A) compared with those taking sunitinib. However, the patient population is rather low in each arm to draw any definite conclusion.
Figure 2

A. Subgroup Analysis: Comparison of OS among Sorafenib and Sunitinib Patients with Non-clear cell Carcinoma. B. Subgroup analysis: Comparison of PFS among Sorafenib and Sunitinib Patients with KPS of <90. C. Subgroup Analysis: Comparison of OS among sorafenib and sunitinib patients with KPS of < 90.

A. Subgroup Analysis: Comparison of OS among Sorafenib and Sunitinib Patients with Non-clear cell Carcinoma. B. Subgroup analysis: Comparison of PFS among Sorafenib and Sunitinib Patients with KPS of <90. C. Subgroup Analysis: Comparison of OS among sorafenib and sunitinib patients with KPS of < 90. On comparing the efficacy of sorafenib versus sunitinib based on Karnofsky performance status (KPS) score, patients with a KPS of < 90 taking sorafenib had a significantly superior PFS (7.50 months [95% CI: 5.00-10.00] vs 3.0 months [95% CI: 2.50-3.50]; P = 0.0265; Figure 2B) and OS (18.0 months [95% CI: 12.00-24.00] vs 7.5 months [95% CI: 5.00-12.00]; P = 0.0506; Figure 2C) compared with those taking sunitinib. However, when the PFS and OS with sorafenib versus sunitinib were compared on the basis of whether the treatment interval exceeded 1 year for evaluation of time from diagnosis to systemic treatment administered, no significant differences were observed. Similarly, no significant differences were observed in PFS and OS between both the groups when evaluated among patients with MSKCC (favorable risk, intermediate risk and poor risk) and among patients with or without simple pulmonary metastasis.

AEs and safety

Overall, all-grade and grade ≥3 AEs occurred in 331 (98.81%) and 174 (51.94%) patients, respectively. A significantly lower number of grade ≥3 AEs was seen in the sorafenib group than the sunitinib group (39.05% vs 65.06%; P < 0.0001). Moreover, the sorafenib group demonstrated significantly lower all-grade non-hematology AEs (94.67% vs 100.0%; P = 0.0074) and hematology AEs (49.11% vs 98.19%; P <0.0001), and grade ≥3 non-hematology AEs (25.44% vs 42.77%; P = 0.0008) and hematology AEs (18.34% vs 43.98%; P <0.0001) than the sunitinib group. Sunitinib group demonstrated a higher frequency of grade ≥3 hand-foot skin reaction (HFSR, 21.08% vs 14.20%; P = 0.0982) and thrombocytopenia (19.88% vs 1.18%; P <0.0001) than the sorafenib group. The patient distribution with respect to toxicity is outlined in Table 2.
Table 2

Adverse event in sorafenib and sunitinib groups

Total population, n (%) (N = 335)Sorafenib, n (%) (n = 169)Sunitinib, n (%) (n = 166)P value, n (%) (Nexavar vs Sutent)
All gradeGrade ≥3All gradeGrade ≥3All gradeGrade ≥3All gradeGrade ≥3
All AE331 (98.81)174 (51.94)165 (97.63)66 (39.05)166 (100.00)108 (65.06)0.1359<0.0001
Non-hematology326 (97.31)114 (34.03)160 (94.67)43 (25.44)166 (100.00)71 (42.77)0.00740.0008
 HFSR206 (61.49)59 (17.61)105 (62.13)24 (14.20)101 (60.84)35 (21.08)0.80880.0982
 Diarrhea183 (54.63)15 (4.48)90 (53.25)6 (3.55)93 (56.02)9 (5.42)0.61070.4076
 Fatigue150 (44.78)22 (6.57)62 (36.69)9 (5.33)88 (53.01)13 (7.83)0.00270.3546
 Hypertension128 (38.21)19 (5.67)59 (34.91)6 (3.55)69 (41.57)13 (7.83)0.21010.0903
 Rash117 (34.93)10 (2.99)66 (39.05)2 (1.18)51 (30.72)8 (4.82)0.10980.1022
 Mucositis112 (33.43)18 (5.37)40 (23.67)10 (5.92)72 (43.37)8 (4.82)0.00010.6559
 Nausea98 (29.25)5 (1.49)41 (24.26)0 (0.00)57 (34.34)5 (3.01)0.04270.0684
 Anorexia91 (27.16)3 (0.90)27 (15.98)0 (0.00)64 (38.55)3 (1.81)<0.00010.2398
 Hypothyroidism75 (22.39)0 (0.00)0 (0.00)0 (0.00)75 (45.18)0 (0.00)<0.0001--
 Dysgeusia73 (21.79)0 (0.00)0 (0.00)0 (0.00)73 (43.98)0 (0.00)<0.0001--
 Vomit63 (18.81)7 (2.09)28 (16.57)0 (0.00)35 (21.08)7 (4.22)0.29020.0206
 Edema53 (15.82)2 (0.60)0 (0.00)0 (0.00)53 (31.93)2 (1.20)<0.00010.2407
Hematology246 (73.43)104 (31.04)83 (49.11)31 (18.34)163 (98.19)73 (43.98)<0.0001<0.0001
 Thrombocytopenia126 (37.61)35 (10.45)27 (15.98)2 (1.18)99 (59.64)33 (19.88)<0.0001<0.0001
 Neutropenia118 (35.22)28 (8.36)30 (17.75)8 (4.73)88 (53.01)20 (12.05)<0.00010.0156
 Lymphopenia108 (32.24)33 (9.85)40 (23.67)17 (10.06)68 (40.96)16 (9.64)0.00070.8972
 Anemia72 (21.49)21 (6.27)14 (8.28)5 (2.96)58 (34.94)16 (9.64)<0.00010.0117

HFSR, hand-foot skin reaction

HFSR, hand-foot skin reaction

Response rates

In the sorafenib group, 18 patients (10.65%) achieved PR and 142 (84.02%) patients had SD, whereas in the sunitinib group, 2 patients (1.20%) achieved CR, 51 (30.72%) reported PR, 87 patients (52.42%) had SD and 26 patients (15.66%) demonstrated PD, (Table 3). Overall, the disease control rate (DCR = CR + PR + SD) was higher in sorafenib-treated patients than sunitinib-treated patients (94.67% vs 84.33%, respectively), and the ORRs (CR + PR) were 10.65% and 31.92% in sorafenib- and sunitinib-treated patients, respectively.
Table 3

Response rates in sorafenib and sunitinib groups

Best responseTotal population, n (%)Sorafenib, n (%)Sunitinib, n (%)
N (missing)335 (0)169 (0)166 (0)
CR2 (0.60)0 (0.00)2 (1.20)
PR69 (20.60)18 (10.65)51 (30.72)
SD229 (68.35)142 (84.02)87 (52.42)
PD35 (10.45)9 (5.33)26 (15.66)

CR, complete response; PR, partial response; PD; partial disease; SD, stable disease

CR, complete response; PR, partial response; PD; partial disease; SD, stable disease

Prognostic factors

The prognostic factor analysis indicates that pathological type/treatment interval/number of metastatic organs/hemoglobin/LDH are the main factors affecting advanced renal cancer. Univariate and multivariate analyses revealed that prognostic factors such as non-clear cell carcinoma of the kidney, KPS (≥90 and <90), age (≥65 and <60 years), MSKCC (favorable risk, intermediate risk and poor risk), treatment interval (≥12 and <12 months), and non-pulmonary metastasis were associated with better OS in patients receiving sorafenib as compared to those receiving sunitinib. Moreover, sorafenib had a superior efficacy for OS in patients with non-clear cell carcinoma (HR: 0.495 [95% CI: 0.262-0.935]; P = 0.0302; Figure 3A). Multivariate analysis revealed that sorafenib had superior efficacy in patients with a KPS of <90, associated with significantly better PFS (HR: 0.460 [95% CI: 0.222-0.954]; P = 0.0369; Figure 3B). Overall, these results favored sorafenib as first-line targeted drug for the treatment of advanced RCC.
Figure 3

A. Forest plot for subgroup analysis of OS. B. Forest plot for subgroup analysis of PFS.

A. Forest plot for subgroup analysis of OS. B. Forest plot for subgroup analysis of PFS.

DISCUSSION

In the current retrospective analysis, the results suggested that the efficacy of sorafenib is comparable to that of sunitinib in the first line patients with mRCC (PFS of 9.0 vs. 11.0 months and OS of 28.0 vs. 28.0 months, respectively). Moreover, adverse effects were significantly less frequent in the patients treated with sorafenib. To our knowledge, this is the largest clinical retrospective, comparative study to investigate the efficacy of first-line targeted therapy agents (sorafenib vs sunitinib) for mRCC. Park et al conducted a retrospective analysis and concluded that the efficacy of sorafenib is comparable with that of sunitinib in 269 VEGF-TKI–naive patients with mRCC (sorafenib vs sunitinib: PFS, 8.6 vs 9.9 months; OS, 25.7 vs 22.6 months, respectively) [17]. The results of our analysis are in similar lines as compared with Park et al. however, it is noteworthy that our study has larger sample size and hence, a meaningful conclusion can be made out of it. Oncologists believe PFS as a credible end point in oncology trials [18]. The phase III TARGET (Treatment Approach in Renal Cell Global Evaluation Trial) demonstrated that sorafenib improved PFS two-fold compared with placebo in 903 patients with clear cell mRCC who were refractory to prior cytokine therapy [9]. Based this study, sorafenib was approved by FDA and became the first targeted agent in the mRCC as the second-line treatment after cytokine therapy (category 1) [11]. However, in a randomized phase II trial of first-line sorafenib versus IFN-α, sorafenib resulted in a similar PFS to that of IFN-α (5.7months versus 5.6 months) [19]. Therefore, NCCN guideline recommended sorafenib as the first-line agent only in selected patients (category 2A) [11]. In the phase 3 trial comparing axitinib and sorafenib for mRCC patients with treatment-naïve, the median progression-free survival was 6.5 months in the sorafenib arm [4]. However, results from TIVO-1 trial suggested that sorafenib as a first-line mRCC therapy yielded PFS of 9.1 months which is longer than the median PFS from previous two studies [13]. This variability in results might be due to the prognostic differences among the patient population. As reported previously, sorafenib had better clinical outcome in Asian mRCC patients [7, 12, 14]; moreover, several studies evaluated the efficacy of sorafenib in terms of PFS [12, 17, 20, 21]. A Japanese phase II trial of sorafenib in patients with mRCC who did not respond to cytokine treatment also demonstrated the efficacy of sorafenib with a DCR of 87.8%, a response rate of 14.7% and PFS of 32 weeks (95% CI, 25–40 weeks) [22]. In 2015, Guo et al demonstrated that sorafenib was efficacious in 131 patients with mRCC in Northeast China, with median PFS of 10.5 months, respectively, after a median follow-up of 16.9 months. The median PFS was 9.0 months in our study. The median PFS result was similar with the study in others Chinese patients [20]. In our study, the median PFS was 9.0months and similar with others Asian study. In a randomized phase III trial comparing sunitinib with IFN-α, the median PFS was 11.0 months for the sunitinib arm and median overall survival of more than 2 years with sunitinib therapy [16]. Qin et al conducted a phase IV clinical trial in Mainland China evaluated the efficacy of sunitinib in patients with advanced RCC and reported DCR to be 76.7% with an objective response of 31.1% and a median PFS of 14.2 months [23]. As per the observations of our study the median PFS for the sunitinib treatment patients was 11.0 months and is similar to the previously reported data. Our study results suggested that the efficacy of sorafenib was comparable with that of sunitinib in VEGF-TKI–naive patients with mRCC (9.0 months [95% CI: 8.00-12.00] vs 11.0 months [95% CI: 9.00-14.00], respectively; P = 0.6289). There was no difference between the two arms. As reported, median PFS was 3.6 months for patients escalated to sorafenib 600 mg twice daily in the phase II trial of first-line treatment with sorafenib versus interferon alfa-2a [19]. In our study, the median all dose sorafenib treatment time (included standard dose treatment plus escalated sorafenib time) was 17.0 months. Many clinical studies showed that RCC patients who tolerated the standard dose of sorafenib could benefit from the escalated dose of sorafenib after the disease progressed. For example, in one phase II clinical trial, the median PFS of RCC patients were prolonged 3.6 months after escalated dose sorafenib treatment [19]. An improved median PFS with prolonged survival was observed in patients receiving all dose sorafenib compared with those receiving sunitinib (P = 0.0062). Results from a large, multicenter study conducted in 645 patients with anti-VEGF therapy-naive patients with mRCC treated with sorafenib, sunitinib, or bevacizumab as the first-line targeted therapy agents reported that although studies have reported variable PFS for first line VEGF TKI treatment in patients with mRCC, OS was not significantly different between patients who received sunitinib or sorafenib [24]. Our study demonstrated that the median OS was similar between patients who received sunitinib or sorafenib in the first line treatment. Moreover, higher number of patients had SD with sorafenib treatment versus sunitinib (84.02% vs 52.42%). Nevertheless, DCR rate was higher in sorafenib-treated patients compared with sunitinib-treated patients (94.67% vs 84.33%, respectively), whereas ORR (CR + PR) was lower with sorafenib (10.65%) than sunitinib (31.92%). Previous publications also have shown SD of 62-75% after sorafenib treatment. In phase III clinical studies (TARGET III), 74% patients had SD after sorafenib treatment [9]. In phase II study, 74.2% advanced kidney cancer patients had SD after first-line treatment with sorafenib [19]. In China, the clinical data showed a higher proportion of RCC patients who reached SD after sorafenib treatment, which was similar with previous reports. Understanding and identifying prognostic factors is an essential tool for the development and evaluation of new treatments. Moreover, factors predictive for PFS/OS with targeting agents have not been fully assessed. Various pathologic markers such as prior nephrectomy, anemia, serum calcium level, lactate dehydrogenase, KPS, metastatic sites, blood neutrophil levels, and platelet levels hold a noticeable prognostic value in patients with mRCC undergoing targeted therapy [24, 25]. Therefore, a subgroup analysis was performed for the selection of better drug based on many prognostic factors such as age, sex, MSKCC score, pathological type, KPS score, treatment intervals, and metastatic lesions. In addition, prognostic factors for PFS and OS in Chinese patients with mRCC treated with sorafenib or sunitinib as first-line therapy were identified. In our study, sorafenib showed significantly superior efficacy in some subgroups such as non-clear cell carcinoma patients (OS, 13 vs 10 months; P = 0.0232) and patients with a KPS of <90 (PFS, 7.5 vs 3.0 months; P = 0.0265; OS, 18 vs 7.5 months; P = 0.0506), which was of clinical benefit in this population. However, the patient population in the subgroup analysis is rather low and we suggest further studies to draw any definite conclusion on efficacy. Selection of appropriate first-line therapy depends on the toxicity profile. Our study results demonstrated an acceptable safety profile in the Chinese population receiving sorafenib with mild-to-moderate toxicity, which was found to be consistent with the other studies [9, 14, 17]. A significantly lower grade ≥3 AEs were seen in the sorafenib group compared with the sunitinib (39.05% vs 65.06%; P <0.0001). All-grade and grade ≥3 non-hematology and hematology AEs were significantly lower in the sorafenib group compared with the sunitinib group. Patients with mRCC usually report HFSR as a common AE [9, 14, 17, 26], which was observed in our study as well, along with thrombocytopenia; however, the incidence was significantly lower in the sorafenib group than in the sunitinib group. Taken together, this is the largest retrospective comparative study of sunitinib and sorafenib in patients with mRCC, a domain not much explored. Results are similar to the studies conducted previously, indicating that therapeutic profile of sorafenib is comparable with that of sunitinib with fewer and less severe toxicities associated with sorafenib. Our analysis had few limitations. First, this is retrospective study and may affect the results of our analysis. Secondly, large-scale randomized clinical trials and sufficient duration are required to confirm our finding and to fully evaluate clinical outcomes. Consequently, the study population is more likely to be representative of the general oncology population and would provide information for optimizing the best treatment modality for the first treatment in the mRCC patients. In conclusion, sorafenib may become an integral part of the standard care of first-line treatment in patients with mRCC, which has a profile comparable with that of sunitinib. Sorafenib had superior efficacy in some subgroups: patients with non-clear cell carcinoma and patients with a KPS of <90. Overall, this targeted agent was well tolerated with a manageable toxicity profile, even at higher dosages. It remains to be seen whether results of larger randomized and prospective studies will lead to a paradigm shift in treatment strategies for patients with mRCC.

MATERIALS AND METHODS

Study design and patient population

This was the largest, single-center, retrospective study conducted to determine the efficacy of sorafenib versus sunitinib as the first-line therapy for mRCC and to analyze survival. Patients were enrolled prospectively and their data were reviewed retrospectively. Medical records of all consecutive patients with mRCC who had been treated with sorafenib or sunitinib as the first-line targeted therapy at the Peking University Cancer Hospital were reviewed from November 2006 to March 2015. Patients were eligible if they had histological confirmation of advanced mRCC; had a KPS of 70-100; had at least one or more measurable lesions; had adequate bone marrow, liver, and renal functions. Currently, there is no best biomarker and predictor factors for patient selection. So patient treatment were selected with sorafenib or sunitinib by the clinical experiences. Just for the patients with poor bone marrow function, the sorafenib was chosen as the first line treatment. Patients were excluded if they had unstable or severe cardiac disease and uncontrolled brain metastases. The study protocol was approved by the local institutional review boards and ethics committees in accordance with the national and international guidelines and conformed to Declaration of Helsinki. Informed consent was signed and obtained from all the patients.

Treatment

Sorafenib (400 mg) was administered orally twice daily continuously in a 4-week cycle until disease progression, unacceptable toxicities, or mortality. Sunitinib was administered at 50 mg orally daily in a 6-week cycle (4 weeks on, 2-week resting period—4/2 schedule) until disease progression, unacceptable AEs, or patient withdrawal. We used the National Cancer Institute Common Terminology Criteria for Adverse Events v4.0 (NCI-CTC 4.0) to aid diagnosis and grading of treatment-related AEs, on the basis of which modifications in dose were decided [27]. For treatment-emergent toxicities of grade 3 or higher, therapy was withheld until resolution to grade 1 or lower. If the patient experienced grade 3 or 4 drug-related toxicity, second time, the dosage was decreased by one level. Patients who were initially intolerant to sunitinib 4/2 schedule, even after dose reductions, were then administered with the reduced dose for 2 consecutive weeks followed by 1-week resting period every 3 weeks (2/1 schedule). The subsequent dosing schedule depended on the treating physician's discretion. For the second-line therapy, the dose of sorafenib was escalated to 600 mg in patients who tolerated the standard dose of sorafenib well. Once progressed, the dose of sorafenib was again increased to 800 mg BID. For the patients who tolerated the standard dose of sorafenib not well and who received sunitinib treatment in the first line treatment, they were eligible to take other TKI or mTORi in case of disease progression.

Safety and response rate assessments

The primary end points of the study were PFS and OS. The secondary end points included treatment-related adverse events (AEs) and treatment response. Clinical, laboratory, and pathological data were collected and reviewed from patient medical records, and the most recent laboratory values were used before initiation of treatment. Pretreatment evaluation comprised a complete history and physical examination; complete blood count; liver, and renal function tests; CT scan of the chest, abdomen and pelvis; CT or MRI of the brain; and total body bone scan. Information on AEs and their severity was collected from the patient's medical records, and toxicity was analyzed and graded using the NCI-CTCAE v4.0 in all patients who received at least one dose of the drug (18). Radiological evaluation of the measurable tumor lesions was carried out every 2 cycles for the first year, and every 12 weeks thereafter in all the patients. Response was re-assessed according to RECIST (Response Evaluation Criteria in Solid Tumors) version 1.0 [28].

Statistical analysis

All statistical analyses were performed using SAS version 9.1 (SAS Corporation, Cary, NC, USA) and Stata version 10 SE (StataCorp, College Station, TX, USA). PFS was calculated from the start of first-line TKI treatment to the date of disease progression or death or the date of the last follow-up visit if the patients were still alive without progression. Median OS time was measured from the beginning of TKI until mortality or the date of the last follow-up visit if the patients were still alive. DCR was defined as the proportion of patients who achieved CR or PR, or SD. objective response rate (ORR) was defined as the proportion of patients who achieved CR and PR. PFS and OS were analyzed by the Kaplan-Meier method and compared by the log-rank test. Clinical variables were evaluated by univariate and multivariate analyses using step-wise cox proportional hazard regression to evaluate associations with OS and PFS. All potential prognostic factors with a P value of ≤0.2 on univariate analyses were entered into the multivariate cox models. For PFS, OS, TTP, and time to first-line treatment failure, hazard ratios (HRs) and two-sided 95% confidence intervals (CIs) were derived from a cox proportional hazard model. ORR and DCR was assessed using Fisher exact test. Subgroup analysis and PFS/OS single factor analysis, including age, sex, pathological type, treatment interval, KPS score, MSKCC risk, Heng risk, presence of bone metastasis, presence of lung metastasis, number of metastatic organs (1 vs >1), and use of second-line therapy, were also assessed. Parameters such as age (>65 vs ≤65 years), sex, MSKCC score (poor vs intermediate risk), pathological type (clear cell vs non-clear cell carcinoma), KPS (<90 vs ≥90), treatment interval (<12 months vs ≥12 months), and metastatic lesions (simple vs non-simple pulmonary metastasis) provided guidance for drug selection. Safety was assessed in all patients receiving at least one dose of study drug and was summarized using descriptive statistics. All statistical analyses were two sided; a P value of <0.05 was considered significant.
  25 in total

1.  Tivozanib versus sorafenib as initial targeted therapy for patients with metastatic renal cell carcinoma: results from a phase III trial.

Authors:  Robert J Motzer; Dmitry Nosov; Timothy Eisen; Igor Bondarenko; Vladimir Lesovoy; Oleg Lipatov; Piotr Tomczak; Oleksiy Lyulko; Anna Alyasova; Mihai Harza; Mikhail Kogan; Boris Y Alekseev; Cora N Sternberg; Cezary Szczylik; David Cella; Cristina Ivanescu; Andrew Krivoshik; Andrew Strahs; Brooke Esteves; Anna Berkenblit; Thomas E Hutson
Journal:  J Clin Oncol       Date:  2013-09-09       Impact factor: 44.544

2.  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

3.  Comparative efficacy of sunitinib versus sorafenib as first-line treatment for patients with metastatic renal cell carcinoma.

Authors:  Seong Joon Park; Jae-Lyun Lee; Inkeun Park; Kwonoh Park; Yongcheol Ahn; Jin-Hee Ahn; Dae-Ho Lee; Shin Ahn; Cheryn Song; Jun Hyuk Hong; Choung-Soo Kim; Hanjong Ahn
Journal:  Chemotherapy       Date:  2013-03-20       Impact factor: 2.544

4.  Prognostic factors for progression-free and overall survival with sunitinib targeted therapy and with cytokine as first-line therapy in patients with metastatic renal cell carcinoma.

Authors:  S Patil; R A Figlin; T E Hutson; M D Michaelson; S Négrier; S T Kim; X Huang; R J Motzer
Journal:  Ann Oncol       Date:  2010-07-25       Impact factor: 32.976

5.  End points and United States Food and Drug Administration approval of oncology drugs.

Authors:  John R Johnson; Grant Williams; Richard Pazdur
Journal:  J Clin Oncol       Date:  2003-04-01       Impact factor: 44.544

6.  Sorafenib or sunitinib as postoperative adjuvant therapy for Chinese patients with locally advanced clear cell renal cell carcinoma at high risk for disease recurrence.

Authors:  Juping Zhao; Yu Zhu; Chongyu Zhang; Xiaojing Wang; Hongchao He; Haofei Wang; Yuxuan Wu; Wenlong Zhou; Zhoujun Shen
Journal:  Urol Oncol       Date:  2012-05-31       Impact factor: 3.498

7.  Phase II study to investigate the efficacy, safety, and pharmacokinetics of sorafenib in Japanese patients with advanced renal cell carcinoma.

Authors:  Hideyuki Akaza; Taiji Tsukamoto; Masaru Murai; Keiko Nakajima; Seiji Naito
Journal:  Jpn J Clin Oncol       Date:  2007-10-19       Impact factor: 3.019

8.  Prognostic factors for overall survival in patients with metastatic renal cell carcinoma treated with vascular endothelial growth factor-targeted agents: results from a large, multicenter study.

Authors:  Daniel Y C Heng; Wanling Xie; Meredith M Regan; Mark A Warren; Ali Reza Golshayan; Chakshu Sahi; Bernhard J Eigl; J Dean Ruether; Tina Cheng; Scott North; Peter Venner; Jennifer J Knox; Kim N Chi; Christian Kollmannsberger; David F McDermott; William K Oh; Michael B Atkins; Ronald M Bukowski; Brian I Rini; Toni K Choueiri
Journal:  J Clin Oncol       Date:  2009-10-13       Impact factor: 44.544

Review 9.  Targeted therapies for renal cell carcinoma in Chinese patients: focus on everolimus.

Authors:  Xiaojie Tan; Yan Liu; Jianguo Hou; Guangwen Cao
Journal:  Onco Targets Ther       Date:  2015-01-29       Impact factor: 4.147

10.  BAY 43-9006 exhibits broad spectrum oral antitumor activity and targets the RAF/MEK/ERK pathway and receptor tyrosine kinases involved in tumor progression and angiogenesis.

Authors:  Scott M Wilhelm; Christopher Carter; Liya Tang; Dean Wilkie; Angela McNabola; Hong Rong; Charles Chen; Xiaomei Zhang; Patrick Vincent; Mark McHugh; Yichen Cao; Jaleel Shujath; Susan Gawlak; Deepa Eveleigh; Bruce Rowley; Li Liu; Lila Adnane; Mark Lynch; Daniel Auclair; Ian Taylor; Rich Gedrich; Andrei Voznesensky; Bernd Riedl; Leonard E Post; Gideon Bollag; Pamela A Trail
Journal:  Cancer Res       Date:  2004-10-01       Impact factor: 13.312

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  11 in total

1.  Sunitinib tolerance and efficacy in patients with metastatic renal cell carcinoma according to ethnic and geographic factors.

Authors:  Jamal Zekri; Saba Imtiaz; Mubarak Al Mansour; Waseem Darwish
Journal:  Int Urol Nephrol       Date:  2017-01-09       Impact factor: 2.370

2.  First-line treatments for advanced renal-cell carcinoma with immune checkpoint inhibitors: systematic review, network meta-analysis and cost-effectiveness analysis.

Authors:  Yingjie Su; Jie Fu; Jiangyang Du; Bin Wu
Journal:  Ther Adv Med Oncol       Date:  2020-08-17       Impact factor: 8.168

3.  C-met inhibition blocks bone metastasis development induced by renal cancer stem cells.

Authors:  Lucia D'Amico; Dimas Belisario; Giorgia Migliardi; Cristina Grange; Benedetta Bussolati; Patrizia D'Amelio; Timothy Perera; Ettore Dalmasso; Luca Dalle Carbonare; Laura Godio; Paolo Comoglio; Livio Trusolino; Riccardo Ferracini; Ilaria Roato
Journal:  Oncotarget       Date:  2016-07-19

4.  The effect of apatinib in the treatment of metastatic renal cell carcinoma: a case report and review of the literature.

Authors:  Jinling Bi; Haiyuan Liu; Yong Huang
Journal:  Int Med Case Rep J       Date:  2017-07-04

5.  Comparison of efficacy, safety, and quality of life between sorafenib and sunitinib as first-line therapy for Chinese patients with metastatic renal cell carcinoma.

Authors:  Wen Cai; Wen Kong; Baijun Dong; Jin Zhang; Yonghui Chen; Wei Xue; Yiran Huang; Lixin Zhou; Jiwei Huang
Journal:  Chin J Cancer       Date:  2017-08-08

6.  Sorafenib versus sunitinib as first-line treatment agents in Chinese patients with metastatic renal cell carcinoma: the largest multicenter retrospective analysis of survival and prognostic factors.

Authors:  Hai-Liang Zhang; Xi-Nan Sheng; Xue-Song Li; Hong-Kai Wang; Zhi-Hong Chi; Zhi-Song He; Ding-Wei Ye; Jun Guo
Journal:  BMC Cancer       Date:  2017-01-05       Impact factor: 4.430

Review 7.  Crosstalk between VEGFR and other receptor tyrosine kinases for TKI therapy of metastatic renal cell carcinoma.

Authors:  Yongchang Lai; Zhijian Zhao; Tao Zeng; Xiongfa Liang; Dong Chen; Xiaolu Duan; Guohua Zeng; Wenqi Wu
Journal:  Cancer Cell Int       Date:  2018-03-05       Impact factor: 5.722

8.  Anlotinib for Patients With Metastatic Renal Cell Carcinoma Previously Treated With One Vascular Endothelial Growth Factor Receptor-Tyrosine Kinase Inhibitor: A Phase 2 Trial.

Authors:  Jianhui Ma; Yan Song; Jianzhong Shou; Yuxian Bai; Hanzhong Li; Xiaodong Xie; Hong Luo; Xiubao Ren; Jiyan Liu; Dingwei Ye; Xianzhong Bai; Cheng Fu; Shukui Qin; Jinwan Wang; Ai-Ping Zhou
Journal:  Front Oncol       Date:  2020-05-07       Impact factor: 6.244

Review 9.  Sunitinib for Metastatic Renal Cell Carcinoma: A Systematic Review and Meta-Analysis of Real-World and Clinical Trials Data.

Authors:  Michael Moran; Dana Nickens; Katherine Adcock; Meg Bennetts; Arial Desscan; Natalie Charnley; Kate Fife
Journal:  Target Oncol       Date:  2019-08       Impact factor: 4.493

10.  Cost-effectiveness of nivolumab plus ipilimumab as first-line therapy in advanced renal-cell carcinoma.

Authors:  Bin Wu; Qiang Zhang; Jie Sun
Journal:  J Immunother Cancer       Date:  2018-11-20       Impact factor: 13.751

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