Literature DB >> 28052762

Indirect treatment comparison of dabrafenib plus trametinib versus vemurafenib plus cobimetinib in previously untreated metastatic melanoma patients.

Adil Daud1, Japinder Gill2, Sheily Kamra2, Lei Chen3, Amit Ahuja2.   

Abstract

BACKGROUND: Metastatic melanoma is an aggressive form of skin cancer with a high mortality rate and the fastest growing global incidence rate of all malignancies. The introduction of BRAF/MEK inhibitor combinations has yielded significant increases in PFS and OS for melanoma. However, at present, no direct comparisons between different BRAF/MEK combinations have been conducted. In light of this, an indirect treatment comparison was performed between two BRAF/MEK inhibitor combination therapies for metastatic melanoma, dabrafenib plus trametinib and vemurafenib plus cobimetinib, in order to understand the relative efficacy and toxicity profiles of these therapies.
METHODS: A systematic literature search identified two randomized trials as suitable for indirect comparison: the coBRIM trial of vemurafenib plus cobimetinib versus vemurafenib and the COMBI-v trial of dabrafenib plus trametinib versus vemurafenib. The comparison followed the method of Bucher et al. and analyzed both efficacy (overall survival [OS], progression-free survival [PFS], and overall response rate [ORR]) and safety outcomes (adverse events [AEs]).
RESULTS: The indirect comparison revealed similar efficacy outcomes between both therapies, with no statistically significant difference between therapies for OS (hazard ratio [HR] 0.94, 95% confidence interval [CI] 0.68 - 1.30), PFS (HR 1.05, 95% CI 0.79 - 1.40), or ORR (risk ratio [RR] 0.90, 95% CI 0.74 - 1.10). Dabrafenib plus trametinib differed significantly from vemurafenib plus cobimetinib with regard to the incidence of treatment-related AE (RR 0.92, 95% CI 0.87 - 0.97), any AE grade ≥3 (RR 0.71, 95% CI 0.60 - 0.85) or dose interruption/modification (RR 0.77, 95% CI 0.60 - 0.99). Several categories of AEs occurred significantly more frequently with vemurafenib plus cobimetinib, while some occurred significantly more frequently with dabrafenib plus trametinib. For severe AEs (grade 3 or above), four occurred significantly more frequently with vemurafenib plus cobimetinib and no severe AE occurred significantly more frequently with dabrafenib plus trametinib.
CONCLUSIONS: This indirect treatment comparison suggested that dabrafenib plus trametinib had comparable efficacy to vemurafenib plus cobimetinib but was associated with reduced adverse events.

Entities:  

Keywords:  Cobimetinib; Dabrafenib; Indirect treatment comparison; Metastatic melanoma; Trametinib; Vemurafenib

Mesh:

Substances:

Year:  2017        PMID: 28052762      PMCID: PMC5209913          DOI: 10.1186/s13045-016-0369-8

Source DB:  PubMed          Journal:  J Hematol Oncol        ISSN: 1756-8722            Impact factor:   17.388


Background

Metastatic melanoma is an uncommon but aggressive form of skin cancer, with a high mortality rate [1, 2]. Although melanoma represents less than 5% of all diagnosed skin cancers, the World Health Organization has indicated that its incidence is increasing faster than any other type of malignancy, mainly due to the general population’s increasing exposure to ultraviolet light [3-5]. Estimates put new diagnoses of melanoma at 132,000 globally in 2015 [3, 5]. The year-on-year increase in global incidence of melanoma is estimated to be between 3 and 7%; based on these estimates, thus a doubling in the incidence of melanoma occurs every 10–20 years [3]. Up to 70% of patients diagnosed with melanoma and approximately 50% of patients with the advanced form of melanoma possess a mutation in the BRAF gene, leading to aberrant activation of the mitogen-activated protein kinase (MAPK) pathway, a well-documented cancer pathway [6-9]. Patients with distant metastases and a BRAF mutation have significantly reduced median overall survival (OS) when compared with patients with distant metastases and BRAF wild-type [10]. These attributes have provided the impetus for significant drug development efforts that target BRAF-mutated metastatic melanoma. The introduction of BRAF inhibitors such as vemurafenib and dabrafenib have yielded significantly improved outcomes in patients with metastatic melanoma with either BRAF V600E or V600K mutations [11, 12]. However, BRAF inhibitors have substantial therapeutic disadvantages. Acquired resistance to such inhibitors frequently develops due to reactivation of the MAPK pathway. This reactivation occurs primarily through three mechanisms: mutations in the upstream RAS proteins, mutant BRAF amplification, and alternative splicing mechanisms [9, 13]. This acquired resistance limits the median progression-free survival (PFS) and OS achievable with BRAF inhibitors to 6–8 months [14, 15]. In addition, the use of BRAF inhibitors may result in the development of secondary skin cancer, further limiting the therapeutic benefit of this monotherapy [11, 13, 16–20]. The addition of a MEK inhibitor along with a BRAF inhibitor can combat the BRAF inhibitor-related resistance and side effects that occur during monotherapy. This combination therapy has demonstrated an increase in median PFS and OS, along with a decrease in the incidence of BRAF-inhibited induced skin tumors [10, 16, 21]. The 2015 United States and European guidelines recommend the use of dabrafenib plus trametinib for metastatic melanoma patients with a BRAF V600 mutation [22, 23]. More recently, the Food and Drug Administration in the United States and European Medicines Agency have approved vemurafenib plus cobimetinib as a combination therapy for patients with BRAF V600E or V600K mutation-positive unresectable or metastatic melanoma [24, 25]. In the absence of evidence from head-to-head trials providing a direct comparison of treatments, health technology assessment agencies require an indirect comparison to help them in their evaluations. In addition, these types of comparisons can inform therapeutic decisions. Srivastava et al. in 2015 published an indirect treatment comparison (ITC) of dabrafenib versus vemurafenib, showing that both dabrafenib and trametinib monotherapies demonstrated comparable PFS and OS, and different tolerability and safety profiles, when indirectly compared with vemurafenib [26]. The objective of this study was to conduct an ITC between two common BRAF/MEK inhibitor combinations, dabrafenib plus trametinib and vemurafenib plus cobimetinib, in patients with metastatic melanoma without prior therapy for the metastatic disease stage in order to further understand the therapeutic and tolerability profile of these therapies.

Methods

A systematic literature review was conducted to identify published studies that would permit an ITC between dabrafenib plus trametinib and vemurafenib plus cobimetinib. From the literature review, two studies were identified that would support an ITC of dabrafenib plus trametinib versus vemurafenib plus cobimetinib using vemurafenib as a common comparator: COMBI-v, an international, open-label, randomized, Phase 3 trial of dabrafenib plus trametinib versus vemurafenib monotherapy in previously untreated patients with unresectable stage IIIC or IV melanoma with BRAF V600E or V600K mutations [27] and coBRIM, an international, multicenter, randomized Phase 3 trial of cobimetinib plus vemurafenib versus vemurafenib plus placebo in previously untreated patients with advanced BRAF-mutated melanoma [21] (Fig. 1). In both trials, vemurafenib 960 mg orally twice daily was administered in the control arm.
Fig. 1

Network diagram for the indirect comparison of trametinib with vemurafenib

Network diagram for the indirect comparison of trametinib with vemurafenib The ITC was conducted using the methodology described by Bucher et al. [28]. The method outlined by Bucher et al. in 1997 relies on the principle that the log of the effect size measured for drug A versus drug B is equal to the difference of the log effect size measures for drug A versus drug C and drug B versus drug C [28]. This holds true for both dichotomous outcomes, where risk ratios (RRs) and odds ratios can be used as the effect size measure, and time-to-event outcomes, where hazard ratios (HRs) can be used as the effect size measure. The principal assumption of the model proposed by Bucher et al. is that the relative efficacy of a treatment is the same in all trials included in the indirect comparison, meaning that if A and B are compared in two or more trials, then the effect size of A versus B is similar across all the trials [28]. Further, this method assumes independence between pairwise comparisons, i.e., the comparison of A versus B is independent of the comparison of B versus C [28]. The trials included in the ITC were qualitatively assessed for their patient population in terms of disease characteristics, disease stage, severity of disease, and patient characteristics. Additional subgroup analyses were conducted in cases where a difference in a patient baseline characteristic between the two trial populations was considered potentially clinically meaningful. The efficacy outcomes that were assessed were overall response rate (ORR), PFS, and OS. The primary efficacy outcome was OS in the COMBI-v trial and PFS in the coBRIM trial. The secondary efficacy outcomes were PFS and ORR in the COMBI-v trial and ORR and OS in the coBRIM trial. Safety was assessed as a secondary endpoint in both of the trials. Multiple data sources including both published and unpublished sources were utilized to retrieve efficacy and safety data for the COMBI-v and coBRIM trials (Table 1).
Table 1

Sources and data cut-offs used in primary and additional ITCs

OutcomeCOMBI-vcoBRIM
Data cut-offData sourceData cut-offData source
Efficacy outcomes
OSPrimary Analysis —March 2015Additional analysis (without crossover)—April 2014Additional analysis (LDH subgroups)—March 2015Robert 2015b [29]Robert 2015a [27]Novartis Pharmaceuticals Corporation, unpublished observationsAugust 2015Atkinson 2015 [30]
PFSPrimary analysis—March 2015Robert 2015b [29]January 2015Larkin 2015c [32]
Additional analysisLDH subgroups—April 2014Novartis Pharmaceuticals Corporation, unpublished observations
ORRApril 2014Robert 2015a [27]January 2015Larkin 2015c [32]
General adverse events
Any AE, any SAE, discontinuation due to AE, AE leading to death, any grade ≥3 AEMarch 2015Robert 2015b [29]and Novartis Pharmaceuticals Corporation, unpublished observationsSeptember 2014EMA label [33, 34]
Any treatment-related AE, any dose interruptions/modificationsApril 2014Robert 2015a [27]
Specific adverse events
All specific adverse events except those highlighted in the row belowMarch 2015Robert 2015b [29]and Novartis Pharmaceuticals Corporation, unpublished observationsSeptember 2014EMA label
KeratocanthomaMay 2014Larkin 2014 [21]
CuSCC—all gradesApril 2014
Chills—all grades grade 3 to 5: alopecia, nausea, pyrexia, vomitingMarch 2015May 2014EMA label

AE Adverse event, CuSS cutaneous squamous cell carcinoma, D + T dabrafenib plus trametinib, ECOG Eastern Cooperative Oncology Group, EMA European Medicines Agency, ITC Indirect treatment comparison, LDH lactate dehydrogenase, OS Overall survival, ORR Overall response rate, PFS Progression-free survival, SAE Severe adverse event, V vemurafenib, V + C vemurafenib plus cobimetinib

Sources and data cut-offs used in primary and additional ITCs AE Adverse event, CuSS cutaneous squamous cell carcinoma, D + T dabrafenib plus trametinib, ECOG Eastern Cooperative Oncology Group, EMA European Medicines Agency, ITC Indirect treatment comparison, LDH lactate dehydrogenase, OS Overall survival, ORR Overall response rate, PFS Progression-free survival, SAE Severe adverse event, V vemurafenib, V + C vemurafenib plus cobimetinib The primary ITC for OS and PFS was based on the most recent data cut-off dates; March 2015 for COMBI-v [29] and August 2015 for coBRIM [30] (Table 1). The primary ITC for ORR was based on the April 2014 data cut-off for COMBI-v and the January 2015 data cut-off for coBRIM (Table 1). Of note, crossover was permitted in COMBI-v, following the recommendation by the Independent Data Monitoring Committee (IDMC) based on the planned interim results, whereas no crossover was permitted in coBRIM. The interim analysis was conducted using COMBI-v at the cut-off date of April 2014. To assess whether the crossover might have confounded OS results of the primary ITC, an additional ITC for OS was conducted using the COMBI-v interim data cut-off of April 2014, the point at which no patients had crossed over, and the August 2015 cut-off for coBRIM. Two other additional ITCs were conducted for OS and PFS in two subgroup populations, i.e., patients with normal and elevated lactate dehydrogenase (LDH) levels, to assess the impact of any variation in the baseline LDH levels on the primary ITC results. The effect sizes for indirect comparisons were calculated using the methodologies proposed by Bucher et al. [28]. The 95% confidence interval (CI) values and p values for the effect sizes were calculated using Cochran-Mantel-Haenszel statistics. All calculations were conducted using STATA® software (version 11).

Results

The baseline epidemiological and disease characteristics of the patient cohorts in the COMBI-v and coBRIM studies have been reported previously and are summarized in Table 2 [21, 27]. Baseline patient characteristics, including known prognostic factors, were generally well balanced in all the treatment arms of both studies, except that slightly more patients in the coBRIM trial had elevated serum LDH at baseline. Thirty-three percent of patients presented with elevated LDH levels (dabrafenib plus trametinib [34%] and vemurafenib [32%]) in the COMBI-v trial, while the coBRIM trial had 46% of patients with elevated LDH levels (vemurafenib plus cobimetinib [46%] and vemurafenib [43%]).
Table 2

Baseline characteristics of patients in the COMBI-v and coBRIM studies

COMBI-vcoBRIM
D + TVV + placeboV + C
Intent-to-treat population352352248247
Age, median (range), yr55(18–91)54(18–88)55(25–85)56(23–88)
Male sex, no. (%)208(59)180(51)140(56)146(59)
ECOG score, no./total no. (%)
 0248/350(71)248/352(70)164/244(67)184/243(76)
 1102/350(29)14/352(30)80/244(33)58/243(24)
 20/3500/3520/2441/243(<1)
Metastatic status, no./total no. (%)
 M014/351(4)26/351(7)13(5)21(9)
 M1a55/351(16)50/351(14)40(16)40(16)
 M1b61/351(17)67/351(19)42(17)40(16)
 M1c221/351(63)208/351(59)153(62)146(59)
Elevated LDH, no. /total no. (%)118/351(34)114/352(32)104/242(43)112/242(46)
BRAF mutation, no. /total no. (%)
 V600E312/346(90)317/351(90)174/206(84)170/194(88)
 V600K34/346(10)34 /351(10)32/206(16)24/194(12)

D + T dabrafenib plus trametinib, ECOG Eastern Cooperative Oncology Group, LDH lactate dehydrogenase, V vemurafenib, V + C vemurafenib plus cobimetinib

Baseline characteristics of patients in the COMBI-v and coBRIM studies D + T dabrafenib plus trametinib, ECOG Eastern Cooperative Oncology Group, LDH lactate dehydrogenase, V vemurafenib, V + C vemurafenib plus cobimetinib

Efficacy

In the primary ITC, the HR (for OS and PFS) or RR (for ORR) for dabrafenib plus trametinib versus vemurafenib plus cobimetinib was statistically non-significant (Table 3). For OS and PFS, a HR of 0.94 (95% CI 0.68 − 1.30; p = 0.7227) and 1.05 (95% CI 0.79 − 1.40; p = 0.730), respectively, was observed, while ORR had a RR of 0.90 (95% CI 0.74 − 1.10; p = 0.3029) (Table 3). These p values and CIs for efficacy outcomes suggested comparable efficacy profiles for the two combination therapies.
Table 3

Comparison of efficacy for dabrafenib plus trametinib versus vemurafenib plus cobimetinib

OutcomeCOMBI-vcoBRIMITC results
D + TVVV + CHR/RRa LCIUCI p value
Overall survival, median (95% CI), months25.6(22.6 − NR)18.0(15.6 − 20.7)17.4(15.0 − 19.8)22.3(20.3 − NR)0.940.681.300.7227
Progression-free survival, median (95% CI), months12.6(10.7 − 15.5)7.3(5.8 − 7.8)7.2(5.6 – 7.5)12.3(9.5 – 13.4)1.050.791.400.7300
Overall response rate, no./total no. (%)226/352(64%)180/352(51%)124/248(70%)172/247(50%)0.900.741.100.3029

aFor D + T versus V + C; HR is the output for time-to-event outcomes, i.e., overall survival and progression-free survival; RR is the output for overall response rate

CI confidence interval, D + T dabrafenib plus trametinib, HR hazard ratio, NR not reached, RR risk ratio, LCI lower 95% CI, UCI upper 95% CI, V vemurafenib, V + C vemurafenib plus cobimetinib

Comparison of efficacy for dabrafenib plus trametinib versus vemurafenib plus cobimetinib aFor D + T versus V + C; HR is the output for time-to-event outcomes, i.e., overall survival and progression-free survival; RR is the output for overall response rate CI confidence interval, D + T dabrafenib plus trametinib, HR hazard ratio, NR not reached, RR risk ratio, LCI lower 95% CI, UCI upper 95% CI, V vemurafenib, V + C vemurafenib plus cobimetinib To determine if the crossover might have confounded the results of the primary ITC, the additional analysis was conducted using pre-crossover data for COMBI-v (i.e., April 2014 data cut-off) and the August 2015 cut-off for coBRIM. Similar results were shown, i.e., no significant difference in HR between the two combination therapies (HR [95% CI] 0.99 [0.69, 1.41]). Two other additional subgroup analyses were conducted for OS and PFS outcomes for two subgroup populations, namely, patients with normal and elevated LDH levels at baseline. The ITC results did not show significant differences between dabrafenib plus trametinib and vemurafenib plus cobimetinib for either subgroup in terms of OS (normal LDH levels, HR = 0.95 [95% CI 0.58 − 1.54]; elevated LDH levels, HR = 1.05 [95% CI 0.67 − 1.65]) and PFS (normal LDH levels, HR = 1.05 [95% CI 0.67 − 1.65]; elevated LDH levels, HR = 1.23 [95% CI 0.81 − 1.87]).

Safety

Based on the ITC, the overall toxicity profile of dabrafenib plus trametinib appeared to be better than that of vemurafenib plus cobimetinib. The incidence of any treatment-related adverse event (AE) (RR 0.92, 95% CI 0.87 − 0.97; p = 0.0015), incidence of any AE of grade ≥3 (RR 0.71; 95% CI 0.60 − 0.85; p = 0.0002), as well as the incidences of dose interruption or dose modification (RR 0.77, 95% CI 0.60 − 0.99; p = 0.0471) were all significantly lower with dabrafenib plus trametinib when compared with vemurafenib plus cobimetinib (Table 4). There were no significant differences between dabrafenib plus trametinib and vemurafenib plus cobimetinib with regard to the incidences of any AE (RR 0.98, 95% CI 0.96 − 1.01; p = 0.3078), any serious AE (RR 0.84; 95% CI 0.60 − 1.16; p = 0.2835), or any AE leading to death or the rate of discontinuation due to an AE (RR 0.62; 95% CI 0.33 − 1.16; p = 0.135) (Table 4).
Table 4

Comparison of general AEs for dabrafenib plus trametinib versus vemurafenib plus cobimetinib

Incidence, number (%)ITC results
COMBI-vcoBRIM
AE typeD + T (n = 350)V (n = 349)V (n = 246)V + C (n = 247)RRLCIUCI p value
Any AE345(98.6)345(98.9)240(97.6)244(98.8)0.980.961.010.3078
Any serious AE151(43.1)136(39.0)64(26.0)85(34.4)0.840.601.160.2835
Any treatment-related AE320(91.4)342(98.0)232(94.3)237(96.0)0.920.870.970.0015
AE leading to death4(1.1)4(1.2)3(1.2)5(2.0)0.600.084.350.6137
Any grade ≥3 AE199 (56.9)232 (66.5)146 (59.4)176 (71.3)0.710.600.850.0002
Any dose interruptions/modifications192(54.9)197(56.5)87(35.4)110(44.5)0.770.601.000.0471
Discontinuation due to AE55(15.7)48(13.8)20(8.1)37(15.0)0.620.331.160.1350

AE adverse event, CI confidence interval, D + T dabrafenib plus trametinib, ITC indirect treatment comparison, RR risk ratio, LCI lower 95% CI, UCI upper 95% CI, V vemurafenib, V + C vemurafenib plus cobimetinib

Comparison of general AEs for dabrafenib plus trametinib versus vemurafenib plus cobimetinib AE adverse event, CI confidence interval, D + T dabrafenib plus trametinib, ITC indirect treatment comparison, RR risk ratio, LCI lower 95% CI, UCI upper 95% CI, V vemurafenib, V + C vemurafenib plus cobimetinib With regard to individual AEs, some AEs occurred at a significantly higher incidence with vemurafenib plus cobimetinib compared with dabrafenib plus trametinib, including (in alphabetical order) alopecia, arthralgia, blurred vision, increased blood creatinine, diarrhea, dry skin, dysgeusia, increased alanine transaminase (ALT) and aspartate transaminase (AST), keratosis pliaris, nausea, photosensitivity reaction, pruritus, rash, rash maculopapular, skin papilloma, and sun burn (Table 5). Some AEs occurred more frequently with dabrafenib plus trametinib compared with vemurafenib plus cobimetinib: chills, constipation, cough, and pyrexia.
Table 5

Comparison of individual AEs of any grade for dabrafenib plus trametinib versus vemurafenib plus cobimetinib

Incidence, number (%)ITC results
COMBI-vcoBRIM
AE typeD + T (n = 350)V (n = 349)V (n = 246)V + C (n = 247)RRLCIUCI p value
Abdominal pain39(11.1)32(9.2)19(7.7)25(10.1)0.930.451.910.8378
Alopecia23(6.6)136(39)73(29.7)37(15.0)0.330.190.580.0001
Anemia26(7.4)21(6.0)20(8.1)32(13.0)0.770.361.670.5147
Arthralgia93(26.6)182(52.2)99(40.2)89(36.0)0.570.420.770.0003
Asthenia61(17.4)58(16.6)40(16.3)43(17.4)0.980.591.630.9368
Blurred vision17(4.9)18(5.2)6(2.4)25(10.1)0.230.080.670.0075
Increased blood creatinine15(4.3)37(10.6)20(8.1)34(13.8)0.240.110.520.0003
Chills116(33.1)28(8.0)12(5.0)a 20(7.9)# 2.631.195.820.0167
Chorioretinopathy2(<1)1(<1)1(<1)31(12.6)0.060.001.450.0843
Constipation54(15.4)25(7.2)26(10.6)24(9.7)2.341.174.680.0160
Cough77(22.0)40(11.5)30(12.2)19(7.7)3.041.595.830.0008
Cutaneous squamous cell carcinoma5(1.4)63(18.1)27(11.3)a 7(2.8)# 0.320.101.090.0685
Decreased appetite44(12.6)70(20.1)50(20.3)46(18.6)0.680.421.130.1361
Dermatitis acneiform23(6.6)20(5.7)22(8.9)34(13.8)0.750.341.610.4539
Diarrhea120(34.3)136(39.0)82(33.3)150(60.7)0.480.360.64<0.0001
Dry skin33(9.4)67(19.2)39(15.9)35(14.2)0.550.310.970.0407
Dysgeusia23(6.6)47(13.5)26(10.6)37(15.0)0.340.180.670.0018
Edema peripheral48(13.7)42(12.0)28(11.4)31(12.6)1.030.561.910.9165
Erythema35(10.0)42(12.0)33(13.4)24(9.7)1.150.602.200.6795
Fatigue110(31.4)117(33.5)80(32.5)85(34.4)0.890.641.230.4697
Headache112(32.0)84(24.1)39(15.9)41(16.6)1.270.802.030.3172
Hyperkeratosis18(5.1)89(25.5)75(30.5)27(10.9)0.560.301.060.0734
Hypertension103(29.4)82(23.5)19(7.7)37(15.0)0.650.361.150.1399
Increased ALT49(14.0)61(17.5)44(17.9)65(26.3)0.540.340.880.013
Increased AST42(12.0)46(13.2)31(12.6)60(24.3)0.470.270.820.008
Increased blood ALP26(7.4)30(8.6)22(8.9)36(14.6)0.530.261.080.0799
Increased blood CPK10(2.9)2(<1)7(2.9)80(32.4)0.440.082.370.3378
Increased GGT38(10.9)33(9.5)44(17.9)54(21.9)0.940.531.660.8292
Keratocanthoma2(<1)35(10.0)20(8.4)a 2(<1)# 0.610.084.580.6269
Keratosis pilaris4(1.1)48(13.8)26(10.6)8(3.2)0.270.080.970.0442
Myalgia66(18.8)56(16.1)30(12.2)28(11.3)1.260.712.260.4298
Nausea126(36.0)130(37.3)62(25.2)102(41.3)0.590.430.820.0015
Pain in extremity45(12.9)44(12.6)35(14.2)24(9.7)1.490.802.790.2079
Photosensitivity reaction15(4.3)81(23.2)93(37.8)118(47.8)0.150.080.26<0.0001
Pruritus36(10.3)78(22.4)46(18.7)48(19.4)0.440.260.740.0020
Pyrexia193(55.1)74(21.2)56(22.8)69(27.9)2.121.453.090.0001
Rash84(24.0)150(43.0)94(38.2)98(39.7)0.540.390.740.0001
Rash maculopapular13(3.7)28(8.0)38(15.5)38(15.4)0.460.221.000.0490
SCC of skin2(<1)21(6.0)31(12.6)8(3.2)0.370.071.880.2310
Skin papilloma8(2.3)82(23.5)29(11.8)12(4.9)0.240.090.620.0033
Sun burn3(<1)51(14.6)43(17.5)34(13.8)0.070.020.25<0.0001
Vomiting107(30.6)55(15.8)31(12.6)60(24.3)1.010.621.640.9798

a N = 239; # N = 254

AE adverse event, ALP alkaline phosphatase, ALT alanine aminotransferase, AST aspartate aminotransferase, CI confidence interval, CPK creatine phosphokinase, GGT gamma-glutamyltransferase, LCI lower 95% CI, RR risk ratio, SCC squamous cell carcinoma, UCI upper 95% CI

Comparison of individual AEs of any grade for dabrafenib plus trametinib versus vemurafenib plus cobimetinib a N = 239; # N = 254 AE adverse event, ALP alkaline phosphatase, ALT alanine aminotransferase, AST aspartate aminotransferase, CI confidence interval, CPK creatine phosphokinase, GGT gamma-glutamyltransferase, LCI lower 95% CI, RR risk ratio, SCC squamous cell carcinoma, UCI upper 95% CI Focusing on individual AEs that were graded as severe (grade 3 or above), the incidence was in many cases similar between dabrafenib plus trametinib and vemurafenib plus cobimetinib (Table 6). A few AEs occurred more frequently with vemurafenib plus cobimetinib than with dabrafenib plus trametinib: increased ALT, increased AST, rash maculopapular, and rash.
Table 6

Comparison of individual AEs of >grade 3 for dabrafenib plus trametinib versus vemurafenib plus cobimetinib

Incidence (% patients)ITC results
COMBI-vcoBRIM
AE typeD + T (n = 350)V (n = 349)V (n = 239)V + T (n = 254)RRLCIUCI p value
Alopecia0(0)1(<1)1(<1)1(<1)0.350.0124.220.6295
Anemia7(2.0)4(1.2)6(2.4)4(1.6)2.630.4615.100.2787
Arthralgia3(<1)15(4.3)12(4.9)6(2.4)0.400.081.910.2513
Asthenia5(1.4)4(1.2)3(1.2)5(2.0)0.750.115.170.7711
Cutaneous squamous cell carcinoma5(1.4)62(17.8)27(11.3)6(2.4)0.380.111.340.1337
Dermatitis acneiform0(0)4(1.2)3(1.2)6(2.4)0.060.001.400.0792
Diarrhea4(1.1)2(<1)2(<1)16(6.5)0.250.032.340.2242
Fatigue4(1.1)7(2.0)7(2.9)10(4.1)0.400.091.880.2459
Hyperkeratosis0(0)2(<1)6(2.4)0(0)2.600.04169.500.6534
Hypertension54(15.4)33(9.5)6(2.4)11(4.5)0.890.312.580.8353
Increased ALT9(2.6)15(4.3)15(6.1)28(11.3)0.320.120.880.0280
Increased AST5(1.4)9(2.6)5(2.0)21(8.5)0.130.030.560.0062
Increased blood ALP7(2.0)5(1.4)4(1.6)10(4.1)0.560.112.820.4826
Increased blood CPK6(1.7)1(<1)0(0)28(11.3)0.110.003.490.2076
Increased GGT19(5.4)17(4.9)25(10.2)32(13.0)0.870.391.960.7436
Keratocanthoma2(<1)35(10.0)20(8.1)3(1.2)0.380.062.440.3091
Maculopapular rash2(<1)13(3.7)13(5.3)17(6.9)0.120.020.610.0105
Myalgia0(0)4(1.2)6(2.4)1(<1)0.670.0224.450.8258
Nausea1(<1)1(<1)2(<1)2(<1)0.530.0211.650.6871
Pain in extremity4(1.1)2(<1)6(2.4)3(1.2)4.000.4535.400.2121
Photosensitivity reaction0(0)1(<1)0(0)7(2.8)0.020.001.620.0820
Pyrexia16(4.6)2(<1)0(0)4(1.6)0.940.0424.600.9712
Rash3(<1)30(8.6)14(5.7)13(5.3)0.110.030.430.0017
SCC of skin2(<1)20(5.7)31(12.6)7(2.8)0.440.082.320.3349
Vomiting4(1.1)3(<1)3(1.3)3(1.2)0.940.099.600.9598

AE adverse event, ALP alkaline phosphatase, ALT alanine aminotransferase, AST aspartate aminotransferase, CI confidence interval, CPK creatine phosphokinase, GGT gamma-glutamyltransferase, LCI lower 95% CI, RR risk ratio, SCC squamous cell carcinoma, UCI upper 95% CI

Comparison of individual AEs of >grade 3 for dabrafenib plus trametinib versus vemurafenib plus cobimetinib AE adverse event, ALP alkaline phosphatase, ALT alanine aminotransferase, AST aspartate aminotransferase, CI confidence interval, CPK creatine phosphokinase, GGT gamma-glutamyltransferase, LCI lower 95% CI, RR risk ratio, SCC squamous cell carcinoma, UCI upper 95% CI

Discussion

We applied an established methodology [28] to a simple network based on two trials that were similar in terms of patient populations and trial protocol. The comparison indicated that dabrafenib plus trametinib had comparable efficacy as vemurafenib plus cobimetinib in patients with BRAF-mutated metastatic melanoma, with no statistically significant difference in ORR, PFS, and OS. Comparison of the two combination therapies in terms of AEs found that dabrafenib plus trametinib was associated with a better safety profile and a lower occurrence of AEs. A wide variety of individual AEs occurred more frequently with vemurafenib plus cobimetinib, while fewer occurred more frequently with dabrafenib plus trametinib. When individual severe AEs (grade 3 or above) were compared between treatments, a few occurred more frequently with vemurafenib plus cobimetinib compared with dabrafenib plus trametinib (p < 0.05), and no severe AE was observed to occur more frequently with dabrafenib plus trametinib. The time-to-event outcomes including OS and PFS were evaluated using the most recent data cut-offs of both COMBI-v and coBRIM with different follow-up duration. Specifically, the duration of follow-up was 19 months for dabrafenib plus trametinib and 15 months for vemurafenib in COMBI-v, and 20.6 months for vemurafenib plus cobimetinib and 16.6 months for vemurafenib in coBRIM. Based on the proportional hazards assumption, it can be assumed that variation in the follow-up times between the COMBI-v and coBRIM trials had no significant effect on the results. The COMBI-v trial allowed crossover following IDMC recommendation, which might have been a confounding factor for the primary ITC. An additional ITC that was conducted using pre-crossover data for COMBI-v (April 2014 data cut-off) and the August 2015 cut-off for coBRIM showed no difference in OS between the two combination therapies, suggesting minimal impact of crossover on the primary ITC. There was some variation in baseline LDH level between two trials, i.e., COMBI-v had slightly lower proportion of patients with elevated LDH than coBRIM (i.e., COMBI-v: 34% with dabrafenib plus trametinib and 32% with vemurafenib; coBRIM: 46% with vemurafenib plus cobimetinib and 43% with vemurafenib). The additional analyses conducted for OS and PFS outcomes in two subgroup populations, namely patients with normal and elevated LDH levels, showed similar results as the primary ITC in overall population. Specifically, there were no significant differences between dabrafenib plus trametinib and vemurafenib plus cobimetinib for OS and PFS within the subgroup populations defined according to the baseline LDH levels, suggesting that the overall results were not confounded by variation in the distribution of baseline LDH levels. The advantage of following the method outlined by Bucher et al. [28] is that the randomization of the individual studies is partially retained. Nonetheless, the evidence provided by an ITC is not as strong as that provided by a direct randomized head-to-head trial between the two treatments; the evidence should be considered with this in mind and interpreted with caution. Additionally, concern has been expressed about the suitability of using ITC to compare safety data, due to their non-dichotomous nature. However, it should be noted that health technology agencies such as the French Haute Autorité de Santé and the Agency for Healthcare Research and Quality recommend the use of Bucher’s ITC method for both efficacy and safety outcomes. Additionally, one study has been published using this method when indirectly comparing safety outcomes [31]. Consideration should also be given to the fact that while the ITC indicates a better safety profile of dabrafenib plus trametinib in terms of the frequency of adverse events, this may not translate into a real-world patient experience, where, for example, certain grade 2 adverse events may have a greater impact on a patient’s quality life than a grade 3-elevated AST/ALT. The safety results presented in this manuscript should therefore be interpreted with caution until data from a direct head-to-head trial can provide further insights for physicians. Additionally, COMBI-v and co BRIM trials had different levels of dose interruptions/modifications this may have impacted on the severity of toxicity profiles experienced in both studies.

Conclusions

In conclusion, in the absence of direct, head-to-head treatment comparisons, ITCs such as the one conducted in this study provided useful information for physicians when evaluating available options of BRAF/MEK inhibitor combinations in order to choose the most suitable treatment for patients, albeit with an understanding of the limitations of such an analysis. The ITC that compared dabrafenib plus trametinib with vemurafenib plus cobimetinib suggested similar efficacies between two combination therapies but reduced adverse events associated with dabrafenib plus trametinib.
  24 in total

1.  Improved overall survival in melanoma with combined dabrafenib and trametinib.

Authors:  Caroline Robert; Boguslawa Karaszewska; Jacob Schachter; Piotr Rutkowski; Andrzej Mackiewicz; Daniil Stroiakovski; Michael Lichinitser; Reinhard Dummer; Florent Grange; Laurent Mortier; Vanna Chiarion-Sileni; Kamil Drucis; Ivana Krajsova; Axel Hauschild; Paul Lorigan; Pascal Wolter; Georgina V Long; Keith Flaherty; Paul Nathan; Antoni Ribas; Anne-Marie Martin; Peng Sun; Wendy Crist; Jeff Legos; Stephen D Rubin; Shonda M Little; Dirk Schadendorf
Journal:  N Engl J Med       Date:  2014-11-16       Impact factor: 91.245

2.  Distinct sets of genetic alterations in melanoma.

Authors:  John A Curtin; Jane Fridlyand; Toshiro Kageshita; Hetal N Patel; Klaus J Busam; Heinz Kutzner; Kwang-Hyun Cho; Setsuya Aiba; Eva-Bettina Bröcker; Philip E LeBoit; Dan Pinkel; Boris C Bastian
Journal:  N Engl J Med       Date:  2005-11-17       Impact factor: 91.245

Review 3.  Therapy for metastatic melanoma: the past, present, and future.

Authors:  Laura Finn; Svetomir N Markovic; Richard W Joseph
Journal:  BMC Med       Date:  2012-03-02       Impact factor: 8.775

4.  Indirect comparison of the efficacy and safety of gefitinib and cetuximab-based therapy in patients with advanced non-small-cell lung cancer.

Authors:  Jifeng Tang; Hena Zhang; Jianzhou Yan; Rong Shao
Journal:  Mol Clin Oncol       Date:  2014-09-22

5.  The Role of B-RAF Mutations in Melanoma and the Induction of EMT via Dysregulation of the NF-κB/Snail/RKIP/PTEN Circuit.

Authors:  Kimberly Lin; Stavroula Baritaki; Loredana Militello; Graziella Malaponte; Ylenia Bevelacqua; Benjamin Bonavida
Journal:  Genes Cancer       Date:  2010-05

Review 6.  The "SWOT" of BRAF inhibition in melanoma: RAF inhibitors, MEK inhibitors or both?

Authors:  Moriah H Nissan; David B Solit
Journal:  Curr Oncol Rep       Date:  2011-12       Impact factor: 5.075

Review 7.  Global perspectives of contemporary epidemiological trends of cutaneous malignant melanoma.

Authors:  M B Lens; M Dawes
Journal:  Br J Dermatol       Date:  2004-02       Impact factor: 9.302

8.  Mutations of the BRAF gene in human cancer.

Authors:  Helen Davies; Graham R Bignell; Charles Cox; Philip Stephens; Sarah Edkins; Sheila Clegg; Jon Teague; Hayley Woffendin; Mathew J Garnett; William Bottomley; Neil Davis; Ed Dicks; Rebecca Ewing; Yvonne Floyd; Kristian Gray; Sarah Hall; Rachel Hawes; Jaime Hughes; Vivian Kosmidou; Andrew Menzies; Catherine Mould; Adrian Parker; Claire Stevens; Stephen Watt; Steven Hooper; Rebecca Wilson; Hiran Jayatilake; Barry A Gusterson; Colin Cooper; Janet Shipley; Darren Hargrave; Katherine Pritchard-Jones; Norman Maitland; Georgia Chenevix-Trench; Gregory J Riggins; Darell D Bigner; Giuseppe Palmieri; Antonio Cossu; Adrienne Flanagan; Andrew Nicholson; Judy W C Ho; Suet Y Leung; Siu T Yuen; Barbara L Weber; Hilliard F Seigler; Timothy L Darrow; Hugh Paterson; Richard Marais; Christopher J Marshall; Richard Wooster; Michael R Stratton; P Andrew Futreal
Journal:  Nature       Date:  2002-06-09       Impact factor: 49.962

9.  RAS mutations in cutaneous squamous-cell carcinomas in patients treated with BRAF inhibitors.

Authors:  Fei Su; Amaya Viros; Carla Milagre; Kerstin Trunzer; Gideon Bollag; Olivia Spleiss; Jorge S Reis-Filho; Xiangju Kong; Richard C Koya; Keith T Flaherty; Paul B Chapman; Min Jung Kim; Robert Hayward; Matthew Martin; Hong Yang; Qiongqing Wang; Holly Hilton; Julie S Hang; Johannes Noe; Maryou Lambros; Felipe Geyer; Nathalie Dhomen; Ion Niculescu-Duvaz; Alfonso Zambon; Dan Niculescu-Duvaz; Natasha Preece; Lídia Robert; Nicholas J Otte; Stephen Mok; Damien Kee; Yan Ma; Chao Zhang; Gaston Habets; Elizabeth A Burton; Bernice Wong; Hoa Nguyen; Mark Kockx; Luc Andries; Brian Lestini; Keith B Nolop; Richard J Lee; Andrew K Joe; James L Troy; Rene Gonzalez; Thomas E Hutson; Igor Puzanov; Bartosz Chmielowski; Caroline J Springer; Grant A McArthur; Jeffrey A Sosman; Roger S Lo; Antoni Ribas; Richard Marais
Journal:  N Engl J Med       Date:  2012-01-19       Impact factor: 91.245

10.  Treatment of cutaneous melanoma: current approaches and future prospects.

Authors:  Alain P Algazi; Christopher W Soon; Adil I Daud
Journal:  Cancer Manag Res       Date:  2010-08-17       Impact factor: 3.989

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  15 in total

Review 1.  Overcoming resistance to BRAF inhibitors.

Authors:  Imanol Arozarena; Claudia Wellbrock
Journal:  Ann Transl Med       Date:  2017-10

2.  Network indirect comparison of 3 BRAF + MEK inhibitors for the treatment of advanced BRAF mutated melanoma.

Authors:  F Consoli; M Bersanelli; G Perego; S Grisanti; B Merelli; A Berruti; F Petrelli
Journal:  Clin Transl Oncol       Date:  2019-09-25       Impact factor: 3.405

3.  Acceptability of Drugs in the Treatment of Unresectable/Metastatic BRAF V600-Mutant Melanoma: A Systematic Review and Network Meta-Analysis.

Authors:  Ling Hong; Ping Huang; Xiaochun Zheng; Xiaolan Ye; Hongying Zhao; Jianwei Wang; Yanfei Shao
Journal:  Front Oncol       Date:  2022-04-21       Impact factor: 5.738

4.  Indirect Comparison of Combined BRAF and MEK Inhibition in Melanoma Patients with Elevated Baseline Lactate Dehydrogenase.

Authors:  Valerie Glutsch; Teresa Amaral; Claus Garbe; Kai-Martin Thoms; Peter Mohr; Axel Hauschild; Bastian Schilling
Journal:  Acta Derm Venereol       Date:  2020-06-11       Impact factor: 3.875

Review 5.  Development of encorafenib for BRAF-mutated advanced melanoma.

Authors:  Peter Koelblinger; Olaf Thuerigen; Reinhard Dummer
Journal:  Curr Opin Oncol       Date:  2018-03       Impact factor: 3.645

6.  Comparisons of therapeutic efficacy and safety of ipilimumab plus GM-CSF versus ipilimumab alone in patients with cancer: a meta-analysis of outcomes.

Authors:  Peng Chen; Fuchao Chen; Benhong Zhou
Journal:  Drug Des Devel Ther       Date:  2018-07-04       Impact factor: 4.162

Review 7.  Tolerability of BRAF/MEK inhibitor combinations: adverse event evaluation and management.

Authors:  Lucie Heinzerling; Thomas K Eigentler; Michael Fluck; Jessica C Hassel; Daniela Heller-Schenck; Jan Leipe; Matthias Pauschinger; Arndt Vogel; Lisa Zimmer; Ralf Gutzmer
Journal:  ESMO Open       Date:  2019-05-23

8.  BRAF and MEK Inhibitors Influence the Function of Reprogrammed T Cells: Consequences for Adoptive T-Cell Therapy.

Authors:  Jan Dörrie; Lek Babalija; Stefanie Hoyer; Kerstin F Gerer; Gerold Schuler; Lucie Heinzerling; Niels Schaft
Journal:  Int J Mol Sci       Date:  2018-01-18       Impact factor: 5.923

9.  The efficacy of re-challenge with BRAF inhibitors after previous progression to BRAF inhibitors in melanoma: A retrospective multicenter study.

Authors:  Julia K Tietze; Andrea Forschner; Carmen Loquai; Heidrun Mitzel-Rink; Lisa Zimmer; Frank Meiss; David Rafei-Shamsabadi; Jochen Utikal; Maike Bergmann; Friedegund Meier; Nicole Kreuzberg; Max Schlaak; Carsten Weishaupt; Claudia Pföhler; Mirjana Ziemer; Michael Fluck; Jessica Rainer; Markus V Heppt; Carola Berking
Journal:  Oncotarget       Date:  2018-09-28

10.  Efficacy, Safety, and Tolerability of Approved Combination BRAF and MEK Inhibitor Regimens for BRAF-Mutant Melanoma.

Authors:  Omid Hamid; C Lance Cowey; Michelle Offner; Mark Faries; Richard D Carvajal
Journal:  Cancers (Basel)       Date:  2019-10-24       Impact factor: 6.639

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