Literature DB >> 28327988

Efficacy and safety of nilotinib in patients with KIT-mutated metastatic or inoperable melanoma: final results from the global, single-arm, phase II TEAM trial.

J Guo1, R D Carvajal2, R Dummer3, A Hauschild4, A Daud5, B C Bastian5, S N Markovic6, P Queirolo7, A Arance8, C Berking9, V Camargo10, D Herchenhorn11, T M Petrella12, D Schadendorf13, W Sharfman14, A Testori15, S Novick16, S Hertle17, C Nourry17, Q Chen16, F S Hodi18.   

Abstract

BACKGROUND: The single-arm, phase II Tasigna Efficacy in Advanced Melanoma (TEAM) trial evaluated the KIT-selective tyrosine kinase inhibitor nilotinib in patients with KIT-mutated advanced melanoma without prior KIT inhibitor treatment. PATIENTS AND METHODS: Forty-two patients with KIT-mutated advanced melanoma were enrolled and treated with nilotinib 400 mg twice daily. TEAM originally included a comparator arm of dacarbazine (DTIC)-treated patients; the design was amended to a single-arm trial due to an observed low number of KIT-mutated melanomas. Thirteen patients were randomized to DTIC before the protocol amendment removing this study arm. The primary endpoint was objective response rate (ORR), determined according to Response Evaluation Criteria In Solid Tumors.
RESULTS: ORR was 26.2% (n = 11/42; 95% CI, 13.9%-42.0%), sufficient to reject the null hypothesis (ORR ≤10%). All observed responses were partial responses (PRs; median response duration, 7.1 months). Twenty patients (47.6%) had stable disease and 10 (23.8%) had progressive disease; 1 (2.4%) response was unknown. Ten of the 11 responding patients had exon 11 mutations, four with an L576P mutation. The median progression-free survival and overall survival were 4.2 and 18.0 months, respectively. Three of the 13 patients on DTIC achieved a PR, and another patient had a PR following switch to nilotinib.
CONCLUSION: Nilotinib activity in patients with advanced KIT-mutated melanoma was similar to historical data from imatinib-treated patients. DTIC treatment showed potential activity, although the low patient number limits interpretation. Similar to previously reported results with imatinib, nilotinib showed greater activity among patients with an exon 11 mutation, including L576P, suggesting that nilotinib may be an effective treatment option for patients with specific KIT mutations. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, NCT01028222.
© The Author 2017. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  KIT; dacarbazine; imatinib; melanoma; nilotinib; tyrosine kinase inhibitor

Mesh:

Substances:

Year:  2017        PMID: 28327988      PMCID: PMC5452069          DOI: 10.1093/annonc/mdx079

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


Introduction

Mutations in the stem cell factor receptor tyrosine kinase gene (KIT) are observed in ≈2% of all melanomas [1], often leading to upregulated signaling from the corresponding protein KIT. KIT mutations are most common in acral and mucosal melanomas and less often observed in cutaneous melanoma arising from skin with chronic sun damage (CSD) [2]. KIT mutations are widely distributed over the coding region and observed in exons 9, 11, 13, 17, and 18 [2, 3]. Advanced melanomas with KIT aberrations (mutations and/or amplifications) have been shown to respond to the BCR-ABL1/KIT tyrosine kinase inhibitor (TKI) imatinib (Gleevec, Novartis Pharmaceuticals Corporation) [4-9], although response rates are low compared with BRAF inhibitors in BRAF-mutated melanomas [10, 11]. Nilotinib (Tasigna, Novartis Pharmaceuticals Corporation) has also demonstrated activity against several known KIT mutations in vitro, with potency comparable to or greater than that of imatinib (supplementary Table S1, available at Annals of Oncology online) [12, 13], and is less likely to lead to gastrointestinal or fluid retention-related adverse events (AEs) [14]. Nilotinib has thus been investigated as a potential treatment of KIT-mutated melanomas [15-18]. A phase II study in patients with advanced KIT-mutated melanoma reported partial responses (PRs) in 3 of 19 nilotinib-treated patients (15.8%), including two with prior imatinib resistance. The Tasigna Efficacy in Advanced Melanoma (TEAM; ClinicalTrials.gov, NCT01028222) trial was the first open-label, multicenter, single-arm, phase II study to assess the efficacy and safety of nilotinib in patients with KIT-mutated advanced melanoma without prior KIT inhibitor therapy.

Methods

Patients, study design, and treatment

Patients were enrolled at 29 centers in 11 countries (Australia, Belgium, Brazil, Canada, China, Germany, Italy, Spain, Sweden, Switzerland, and the USA). Eligible patients were adults with histologically confirmed unresectable or metastatic acral, mucosal, or CSD melanoma without a history of brain metastases and with a confirmed KIT mutation in exons 9, 11, 13, or 17 (D820G, N822H, N822K, D820Y, Y822D, or Y823D), which have known KIT inhibitor sensitivity [4–6, 13]. Following a protocol amendment, patients with CSD melanoma were excluded from further enrollment because of a low observed KIT mutation rate. Mutation status was determined in a central laboratory (MolecularMD, Portland, OR) by DNA extraction from formalin-fixed, paraffin-embedded tumor tissue that was macrodissected, followed by polymerase chain reaction amplification and sequencing using a panel of direct sequencing assays with 20% mutant allele sensitivity. Germline DNA was not sequenced to determine whether mutations were somatic. Patients with KIT amplification without mutation were ineligible. Additional exclusion criteria included prior treatment with any TKI or >1 systemic anticancer therapy for melanoma in addition to any adjuvant therapy. Patients with significantly impaired cardiac function were ineligible, as were those with gastrointestinal impairment, chronic or acute pancreatitis, and/or acute or chronic liver or renal disease unrelated to melanoma. Originally, the TEAM trial was a randomized, phase III study of nilotinib versus dacarbazine (DTIC; standard of care), with a target enrollment of 120 patients. This was amended to an open-label, single-arm design due to the rarity of patients harboring KIT mutations. Although 13 patients were randomized to DTIC before the protocol amendment and 10 eventually switched to nilotinib, the focus of this analysis is on the patients whose initial treatment was nilotinib. All patients assigned to nilotinib received nilotinib 400 mg twice daily. Dose adjustments were allowed per protocol-specified criteria (supplementary methods, available at Annals of Oncology online).

Study endpoints and assessments

The primary endpoint was the objective response rate (ORR), defined as the proportion of patients with a confirmed complete response (CR) or PR determined by the investigator according to Response Evaluation Criteria In Solid Tumors (RECIST). Tumor progression was assessed by computed tomography/magnetic resonance imaging or photography at screening, baseline, weeks 3, 6, 9, 12, 18, and 24, and every 12 weeks thereafter. Key secondary endpoints included Kaplan–Meier (KM) estimates of progression-free survival (PFS; time from treatment start to date of first documented progression or death) and overall survival (OS; time from study start to date of death from any cause; supplementary methods, available at Annals of Oncology online). Additional secondary endpoints included KM-estimated duration of objective response (DOR; time from first documented CR or PR to first documented progression or death) and disease control rate (DCR; proportion of patients with CR, PR, or stable disease [SD] for ≥12 weeks from start of treatment). AEs were assessed according to the Common Terminology Criteria for Adverse Events (CTCAE) version 3.0. Safety was evaluated on an ongoing basis during study treatment and ≤30 days after the last dose of study treatment.

Statistical analyses

Demographics, baseline characteristics, and efficacy analyses were determined in the intent-to-treat population, including all patients assigned to nilotinib. Patients randomized to DTIC before the study design amendment were analyzed separately. Demographics and baseline characteristics were summarized by descriptive statistics. Safety analyses were determined in the safety population, including all patients who received ≥1 dose of study medication. For the primary endpoint, the null hypothesis (ORR ≤10%) was tested according to Simon’s two-stage design. After all 23 nilotinib-treated patients enrolled in the first stage had a confirmed response, discontinued the study, or completed 24 weeks of treatment, the trial was to be discontinued (null hypothesis accepted) if <3 confirmed responses were observed. If ≥3 confirmed responses were observed, the second stage would begin with an enrollment target of an additional 18 patients. If there were ≥9 responders overall, the null hypothesis would be rejected with a one-sided significance level of 2.5% and a power of 90% against an alternative hypothesis of ORR ≥30%.

Ethics

This study was conducted in accordance with the ethical principles of the Declaration of Helsinki and local laws/regulations. Patients provided written informed consent before participation. The study protocol and all amendments were reviewed and approved by an institutional review board or independent ethics committee for each center.

Results

Patients and treatment exposure

Between 29 April 2010 and 23 October 2012, 877 patients were prescreened for KIT mutations. While a mutation frequency of 20%–30% was expected in the target population based on prestudy estimates [2], only 106 (12.1%) prescreened patients harbored KIT mutations (supplementary Figure S1, available at Annals of Oncology online). Of these, 78 were screened for eligibility per additional inclusion/exclusion criteria, and 55 enrolled. Primary reasons for screening failure were unacceptable laboratory or test procedure results (e.g. brain metastasis). Before closure of the DTIC arm (via protocol amendment 27 July 2011), 14 and 13 patients were randomized to nilotinib and DTIC, respectively. Ten patients on DTIC subsequently crossed over to nilotinib; the remaining three discontinued [loss to follow-up, disease progression, administrative problems (n = 1 each)]. Herein, demographic, efficacy, and safety data are reported for patients who initiated nilotinib treatment upon enrollment (N = 42), with brief mention of the DTIC results. Further details regarding efficacy/safety for patients randomized to DTIC are included in the supplementary Appendix, available at Annals of Oncology online. In the nilotinib arm, acral and mucosal melanomas were most frequent (n = 20; 47.6% each; information on primary site is in Table 1); two patients (4.8%) had CSD melanoma of the head and neck (patients with CSD melanoma were excluded from the study following a protocol amendment). The most frequently observed KIT mutations were in exon 11 [n = 26; 61.9%; most commonly L576P (n = 10)] and exon 13 (n = 13; 31.0%).
Table 1

Demographics and baseline characteristics

Demographic variablesNilotinib 400 mg twice daily  (N =42)
Age, median  (range), years65.5   (20–87)
 <65 years, n  (%)20  (47.6)
 ≥65 years, n  (%)22  (52.4)
Sex, n  (%)
 Male19  (45.2)
 Female23  (54.8)
Race, n  (%)
 Caucasian26  (61.9)
 Asian10  (23.8)
 Other6  (14.3)
WHO performance status, n  (%)
 030  (71.4)
 110  (23.8)
 22  (4.8)
Melanoma type and primary site, n  (%)
 Acral20  (47.6)
  Sole8  (19.0)
  Subungual  (hand)4  (9.5)
  Subungual  (foot)2  (4.8)
  Othera6  (14.3)
 Mucosal20  (47.6)
  Female genital tract9  (21.4)
  Anorectal4  (9.5)
  Head and neck1  (2.4)
  Otherb6  (14.3)
 CSD2  (4.8)
  Head and neck2  (4.8)
Lactate dehydrogenase, n  (%)
 Within or below normal range30  (71.4)
 Above normal range10  (23.8)
 Missing2  (4.8)
Prior systemic anticancer therapies,cn  (%)
 Any therapy13  (31.0)
 Chemotherapy9  (21.4)
 Immunotherapy2  (4.8)
 Otherd6  (14.3)
KIT mutation status, n  (%)
 Exon 1126  (61.9)
  L576P10  (23.8)e
  V559A3  (7.1)
  V560D3  (7.1)
  W557C2  (4.8)
  W557R2  (4.8)
  Otherf6  (14.3)
 Exon 1313  (31.0)
  K642E10  (23.8)
  Otherg3  (7.1)
 Exon 9h2  (4.8)
 Exon 17  (Y823D)1  (2.4)
Time since initial diagnosis, median  (range), months13.2  (1.6–305.4)
Time since most recent recurrence/relapse, median (range), days61  (1–761)

Includes toe  (n = 4), heel  (n = 1), and thumb  (n = 1).

Includes esophagus  (n = 3), nasal mucosa  (n = 2), and intranasal  (n = 1).

Other than therapies received only in the adjuvant setting.

Includes recombinant human endostatin injection  (n = 4), bleomycin  (n = 1), and sargramostim  (n = 1).

Includes 1 patient with a combined L576P/W557R mutation.

Other mutations detected were D572G, K558E, K581_P585dup, V559D, V569I, and W557hetdel  (n = 1 each).

Other mutations detected were K642Q, R634W, and V654A  (n = 1 each).

Specific mutations were D496N and S476C  (n = 1 each).

CSD, chronic sun damage; WHO, World Health Organization.

Demographics and baseline characteristics Includes toe  (n = 4), heel  (n = 1), and thumb  (n = 1). Includes esophagus  (n = 3), nasal mucosa  (n = 2), and intranasal  (n = 1). Other than therapies received only in the adjuvant setting. Includes recombinant human endostatin injection  (n = 4), bleomycin  (n = 1), and sargramostim  (n = 1). Includes 1 patient with a combined L576P/W557R mutation. Other mutations detected were D572G, K558E, K581_P585dup, V559D, V569I, and W557hetdel  (n = 1 each). Other mutations detected were K642Q, R634W, and V654A  (n = 1 each). Specific mutations were D496N and S476C  (n = 1 each). CSD, chronic sun damage; WHO, World Health Organization. By study completion (last patient last visit, 31 December 2014), 38 patients (90.5%) had discontinued nilotinib, most commonly for disease progression (n = 33; 86.8%). Known subsequent treatments following study discontinuation included chemotherapy/radiation (n = 18), ipilimumab (n = 15), imatinib (n = 8), and other targeted/immune therapies (n = 7). Four patients (9.5%) remained on nilotinib through a rollover study or local protocol. Median duration of nilotinib exposure was 15.0 weeks (range 1–154 weeks). Dose interruptions due to AEs were reported in 26 patients (61.9%). Twenty-two patients (52.4%) received a reduced dose, with six patients having ≥1 direct dose reduction to 400 mg once daily without prior interruption. The lowest nilotinib dose received was 400 mg daily in 21 patients and 200 mg daily in one patient. The median percentage of days on study that patients received a full nilotinib dose was 75.5% (range, 12%–98%).

Efficacy

Among the 42 patients in the nilotinib arm, the ORR was 26.2% (95% CI, 13.9%–42.0%; PR, n = 11; CR, n = 0), sufficient to reject the null hypothesis of ORR ≤10% (Table 2). All responses occurred by 3 months; 5 occurred by 3 weeks and 7 by 6 weeks. Median DOR was 7.1 months (range 2.8–34.6 months). Twenty patients (47.6%) had SD ≥6 weeks and 10 (23.8%) had progressive disease; 1 (2.4%) response was unknown. The DCR was 47.6%. Three of 13 patients in the DTIC arm had a PR (ORR, 23.1%; CR, n = 0; PR, n = 3; supplementary Tables S2 and S3, available at Annals of Oncology online).
Table 2

Response to nilotinib, overall and by KIT mutation status

Nilotinib 400 mg twice daily
Total  (N = 42)Exon 11  (n = 26)Exon 13  (n = 13)Othera  (n = 3)
Best overall response, n  (%)b
 CR0000
 PR11  (26.2)10  (38.5)1  (7.7)0
 SD20  (47.6)13  (50.0)5  (38.5)2  (66.7)
 PD10  (23.8)3  (11.5)6  (46.2)1  (33.3)
 Unknown1  (2.4)c01  (7.7)0
ORR, %  (95% CI)d26.2  (13.9–42.0)38.5  (12.1–39.5)7.7  (0.1–12.6)0  (0.0–8.4)
DOR, median  (95% CI), monthse7.1  (4.2–not defined)
DCR, %  (95% CI)f47.6  (32.0–63.6)61.5  (23.6–54.4)30.8  (2.7–22.6)0  (0.0–8.4)
PFS, median  (95% CI), months4.2  (2.1–5.8)5.4  (2.7–8.3)2.8  (1.3–8.6)2.1  (1.9–2.8)
OS, median  (95% CI), months18.0  (10.9–20.3)

Exon 9 and exon 17  (Y823D).

Percentages for mutation subgroups are reported according to the number of patients in the respective mutation subgroups.

This patient discontinued nilotinib on study day 11 and withdrew consent on study day 22.

Rate of patients with CR + PR.

Median DOR was determined among the 11 responding patients. Median DOR was not determined according to mutation subgroups; however, all responding patients had an exon 11 mutation except for one patient with a mutation on exon 13  (DOR, 4.2 months).

Rate of patients with CR + PR + SD >12 weeks. SD in DCR is defined as lasting ≥12 weeks.

CR, complete response; DCR, disease control rate; DOR, duration of objective response; ORR, objective response rate; OS, overall survival; PD, progressive disease; PFS, progression-free survival; PR, partial response; SD, stable disease.

Response to nilotinib, overall and by KIT mutation status Exon 9 and exon 17  (Y823D). Percentages for mutation subgroups are reported according to the number of patients in the respective mutation subgroups. This patient discontinued nilotinib on study day 11 and withdrew consent on study day 22. Rate of patients with CR + PR. Median DOR was determined among the 11 responding patients. Median DOR was not determined according to mutation subgroups; however, all responding patients had an exon 11 mutation except for one patient with a mutation on exon 13  (DOR, 4.2 months). Rate of patients with CR + PR + SD >12 weeks. SD in DCR is defined as lasting ≥12 weeks. CR, complete response; DCR, disease control rate; DOR, duration of objective response; ORR, objective response rate; OS, overall survival; PD, progressive disease; PFS, progression-free survival; PR, partial response; SD, stable disease. Response rate differed by mutation status; PR was observed in 10 of 26 patients (38.5%) with an exon 11 mutation, 1 of 13 patients (7.7%) with an exon 13 mutation, and 0 of 3 patients with an exon 9 or 17 mutation (Figure 1A). Of the 10 responding patients with an exon 11 mutation, three had the L576P mutation and one had a combined L576P/W557R mutation (Table 3). While the majority of observed mutations affect recurrently mutated sites and are thus considered likely to lead to constitutive KIT activation, a few of the identified mutations (i.e., S476C and D496N in exon 9 and R634W in exon 13) affect nonrecurrent sites and therefore may not be pathogenic.
Figure 1.

Tumor response and survival following nilotinib treatment. (A) Best percentage change from baselinea and best overall response to nilotinib. (B) Kaplan–Meier estimate of PFSb. (C) Kaplan–Meier estimate of OS. OS, overall survival; PD, progressive disease; PFS, progression-free survival; PR, partial response; RECIST, Response Evaluation Criteria In Solid Tumors; SD, stable disease; UNK, unknown. aBest percentage change from baseline determined from the sum of the longest diameter. bPatients who discontinued due to disease progression without PD per RECIST were not considered to have had a PFS event.

Table 3

Best overall response by KIT mutation

PatientMelanoma typeExonKIT mutationBaseline tumor size, cmBest overall responsePFS, monthsOS, months
1Acral11L576P7.6PR24.9a25.8b
2Mucosal11L576P7.6PR5.49.4c
3Mucosal11L576P22.1PR4.121.0b
4Acral11L576P5.9SD2.16.6c
5Mucosal11L576P3.8SD2.8a16.4c
6Mucosal11L576P12.3SD19.420.3c
7Mucosal11L576P3.3SD4.218.0c
8Mucosal11L576P28.1SD5.67.8c
9Mucosal11L576P2.2PD1.52.3c
10CSD11V559A2.0PR19.432.9b
11Mucosal11V559A2.1SD2.3a18.5d
12Acral11V559A3.0PD0.71.0b
13Acral11V560D7.7PR8.623.5c
14Acral11V560D2.2SD8.214.7c
15Acral11V560D4.5SD2.76.0c
16Acral11W557C5.4SD2.118.5c
17Acral11W557C20.9PD0.71.4c
18Acral11W557R3.8PR35.4a35.4b
19Acral11W557R5.6SD8.319.4b
20Acral11D572G1.0SD2.114.9b
21Acral11K558E9.2SD2.04.8e
22Acral11K581_P585dup3.0PR8.316.5c
23Mucosal11L576P, W557R9.2PR5.314.7b
24Acral11V559D6.9PR28.3a28.3b
25Mucosal11V569I25.9SD5.35.3c
26Mucosal11W557hetdel10.5PR8.018.0c
27Mucosal13K642E1.2PR5.818.6c
28Acral13K642E5.2SD11.017.0b
29Mucosal13K642E25.6SD2.85.5b
30Acral13K642E10.1SD22.2a22.9b
31Acral13K642E5.6SD8.611.6c
32Mucosal13K642E3.1PD1.517.8b
33Mucosal13K642E3.9PD0.715.9c
34Acral13K642E9.8PD1.46.4c
35Mucosal13K642E9.0PD1.310.9c
36Mucosal13K642E16.3UNK0.7a0.7b
37CSD13K642Q4.4PD1.427.9b
38Acral13R634W12.4PD0.71.9c
39Acral13V654A5.2SD2.924.8c
40Mucosal9D496N1.8PD1.95.5c
41Mucosal9S476C17.9SD2.84.0b
42Mucosal17Y823D1.2SD2.19.7c

Study day of censoring for PFS analysis. Patients were censored at the date of the last adequate tumor assessment (if they were alive and progression-free) or the first date of initiating other anticancer therapy.

Study day of censoring for OS analysis. If death was not observed, patients were censored at day of last contact.

Death due to study indication.

Death due to multi-organ dysfunction.

Death due to cardiopulmonary arrest.

CSD, chronic sun damage; OS, overall survival; PD, progressive disease; PFS, progression-free survival; PR, partial response; SD, stable disease; UNK, unknown.

Best overall response by KIT mutation Study day of censoring for PFS analysis. Patients were censored at the date of the last adequate tumor assessment (if they were alive and progression-free) or the first date of initiating other anticancer therapy. Study day of censoring for OS analysis. If death was not observed, patients were censored at day of last contact. Death due to study indication. Death due to multi-organ dysfunction. Death due to cardiopulmonary arrest. CSD, chronic sun damage; OS, overall survival; PD, progressive disease; PFS, progression-free survival; PR, partial response; SD, stable disease; UNK, unknown. Tumor response and survival following nilotinib treatment. (A) Best percentage change from baselinea and best overall response to nilotinib. (B) Kaplan–Meier estimate of PFSb. (C) Kaplan–Meier estimate of OS. OS, overall survival; PD, progressive disease; PFS, progression-free survival; PR, partial response; RECIST, Response Evaluation Criteria In Solid Tumors; SD, stable disease; UNK, unknown. aBest percentage change from baseline determined from the sum of the longest diameter. bPatients who discontinued due to disease progression without PD per RECIST were not considered to have had a PFS event. Thirty-five patients had PFS events (median PFS of 4.2 months; 95% CI, 2.1–5.8 months). At 6 months, the estimated PFS rate was 34.6% (95% CI, 20.2%–49.3%; Figure 1B). Among the 26 patients with an exon 11 mutation, median PFS was 5.4 months (95% CI, 2.7–8.3 months); the 6-month estimated PFS rate was 43.1% (95% CI, 23.4%–61.5%). Twenty-six deaths occurred [due to melanoma (n = 24), cardiopulmonary arrest (n = 1), multiorgan dysfunction (n = 1)]. Of these, one death (due to melanoma) occurred within 30 days of discontinuation. No deaths were considered by the investigators to be attributable to nilotinib. Median OS was 18.0 months (95% CI, 10.9–20.3 months). Estimated OS rates at 12 and 24 months were 63.6% (95% CI, 46.4%–76.6%) and 27.7% (95% CI, 13.3%–44.2%), respectively (Figure 1C). Among the 26 patients with an exon 11 mutation, 17 died on study and three were alive and receiving nilotinib with ≥25.8 months’ follow-up. PFS and OS in DTIC-treated patients are shown in supplementary Figure S2, available at Annals of Oncology online.

Safety

Nilotinib was well tolerated, with a safety profile consistent with reports of nilotinib in patients with chronic myeloid leukemia [14]. No additional safety issues were observed on crossover to nilotinib, although data for this population are limited. Full safety data are provided in supplementary Tables S4–S6, available at Annals of Oncology online.

Discussion

Results from the TEAM trial showed that nilotinib is an active agent in patients with KIT-mutated metastatic melanoma. Similar results have been reported in other studies of nilotinib in patients with advanced melanoma with KIT aberrations, including patients with prior imatinib resistance [15-17]; response rates and survival in these nilotinib studies are similar to those in reports of imatinib treatment in patients with KIT-mutated melanoma (supplementary Table S7, available at Annals of Oncology online) [7-9]. Response rates to imatinib and nilotinib in patients with KIT mutations [7–9, 15–17] are approximately half of those observed in pivotal trials of BRAF inhibitors in patients with BRAF-mutated advanced melanoma [10, 11]. This may result from heterogeneity of KIT mutations relative to BRAF mutations (of which 74% are V600E) and/or a lower efficacy of current KIT inhibitors [19]. Additionally, RAS mutations may confer resistance to KIT inhibitors [9]; although prior data suggest low incidences of concurrent KIT/RAS mutations [2, 9], the RAS mutation status of patients enrolled in TEAM is unknown. Although the TEAM trial was not powered to statistically determine response rates according to mutation subtypes, numerical differences were observed by mutation. Patients with an exon 11 mutation had a better response rate than patients with an exon 13 mutation. Too few patients had exon 9 or 17 mutations to draw conclusions in these subpopulations. Consistent with prior studies of imatinib and nilotinib, the most frequently observed mutation among responding patients in TEAM was L576P on exon 11 [9, 16], a common KIT-activating mutation [2, 20]. Results from TEAM suggest that nilotinib may have activity in these patients, with 4 of 10 patients (40.0%) with L576P (including 1 with a concurrent W557R mutation) responding to nilotinib. The response rate among DTIC-treated patients (23.1%) was higher than has been historically observed for DTIC [21], suggesting that patients enrolled in TEAM may have had less aggressive disease than the general population of patients with advanced KIT-mutated melanomas. Formal comparison of nilotinib and DTIC was not conducted due to partial randomization in the nilotinib arm and the very low number of patients in the DTIC arm. A randomized controlled trial of nilotinib versus standard of care in patients with advanced KIT-mutated melanoma may be needed to further evaluate nilotinib efficacy in this population. However, the inability to recruit a sufficient number of patients for a randomized controlled trial demonstrates the difficulty of conducting large trials in uncommon molecular subsets of advanced diseases. Potential limitations of this study include the lower enrollment target and changes in study design following the protocol amendments, which may have impacted the strength of the results. Additionally, the majority of patients had mucosal/acral melanoma, potentially limiting the generalizability of the findings to other subtypes known to harbor KIT aberrations, such as melanomas arising on skin with CSD. However, patients with mucosal/acral melanoma may be most appropriate for KIT inhibitor treatment because KIT mutations are most commonly observed in these subtypes [2]. Overall, nilotinib demonstrated activity in patients with advanced melanoma with KIT mutations without prior KIT inhibitor treatment. Although these data did not show an advantage for nilotinib relative to historical data with imatinib, they do suggest that nilotinib may be an additional treatment option for patients with KIT-mutated advanced melanoma, for example, in patients intolerant of imatinib. The treatment landscape for advanced melanoma is rapidly changing with the availability of immunotherapies such as inhibitors of programmed cell death protein 1 (e.g. nivolumab, pembrolizumab) or cytotoxic T lymphocyte-associated protein 4 (e.g. ipilimumab), which have shown activity in acral and/or mucosal melanomas (ORRs, 11.4%–23.3%) [22-24]. Thus, a potential role for KIT inhibitors may be in combination with or following disease progression on immunotherapy. Further studies are needed to investigate the potential efficacy of nilotinib in patients with advanced KIT-mutated melanoma, either in combination with immunotherapy or in the setting of disease refractory to immunotherapy. Click here for additional data file.
  20 in total

1.  Major response to imatinib mesylate in KIT-mutated melanoma.

Authors:  F Stephen Hodi; Philip Friedlander; Christopher L Corless; Michael C Heinrich; Suzanne Mac Rae; Andrea Kruse; Jyothi Jagannathan; Annick D Van den Abbeele; Elsa F Velazquez; George D Demetri; David E Fisher
Journal:  J Clin Oncol       Date:  2008-04-20       Impact factor: 44.544

2.  Prognostic and clinicopathologic associations of oncogenic BRAF in metastatic melanoma.

Authors:  Georgina V Long; Alexander M Menzies; Adnan M Nagrial; Lauren E Haydu; Anne L Hamilton; Graham J Mann; T Michael Hughes; John F Thompson; Richard A Scolyer; Richard F Kefford
Journal:  J Clin Oncol       Date:  2011-02-22       Impact factor: 44.544

3.  KIT as a therapeutic target in metastatic melanoma.

Authors:  Richard D Carvajal; Cristina R Antonescu; Jedd D Wolchok; Paul B Chapman; Ruth-Ann Roman; Jerrold Teitcher; Katherine S Panageas; Klaus J Busam; Bartosz Chmielowski; Jose Lutzky; Anna C Pavlick; Anne Fusco; Lauren Cane; Naoko Takebe; Swapna Vemula; Nancy Bouvier; Boris C Bastian; Gary K Schwartz
Journal:  JAMA       Date:  2011-06-08       Impact factor: 56.272

4.  Phase III multicenter randomized trial of the Dartmouth regimen versus dacarbazine in patients with metastatic melanoma.

Authors:  P B Chapman; L H Einhorn; M L Meyers; S Saxman; A N Destro; K S Panageas; C B Begg; S S Agarwala; L M Schuchter; M S Ernstoff; A N Houghton; J M Kirkwood
Journal:  J Clin Oncol       Date:  1999-09       Impact factor: 44.544

5.  Somatic activation of KIT in distinct subtypes of melanoma.

Authors:  John A Curtin; Klaus Busam; Daniel Pinkel; Boris C Bastian
Journal:  J Clin Oncol       Date:  2006-08-14       Impact factor: 44.544

6.  Correlation between KIT expression and KIT mutation in melanoma: a study of 173 cases with emphasis on the acral-lentiginous/mucosal type.

Authors:  Carlos A Torres-Cabala; Wei-Lien Wang; Jonathan Trent; Dan Yang; Su Chen; John Galbincea; Kevin B Kim; Scott Woodman; Michael Davies; Jose A Plaza; J W Nash; Victor G Prieto; Alexander J Lazar; Doina Ivan
Journal:  Mod Pathol       Date:  2009-08-28       Impact factor: 7.842

7.  Efficacy and safety of ipilimumab 3mg/kg in patients with pretreated, metastatic, mucosal melanoma.

Authors:  Michele Del Vecchio; Lorenza Di Guardo; Paolo A Ascierto; Antonio M Grimaldi; Vanna Chiarion Sileni; Jacopo Pigozzo; Virginia Ferraresi; Carmen Nuzzo; Gaetana Rinaldi; Alessandro Testori; Pier F Ferrucci; Paolo Marchetti; Federica De Galitiis; Paola Queirolo; Elena Tornari; Riccardo Marconcini; Luana Calabrò; Michele Maio
Journal:  Eur J Cancer       Date:  2013-10-04       Impact factor: 9.162

8.  Nilotinib versus imatinib for newly diagnosed chronic myeloid leukemia.

Authors:  Giuseppe Saglio; Dong-Wook Kim; Surapol Issaragrisil; Philipp le Coutre; Gabriel Etienne; Clarisse Lobo; Ricardo Pasquini; Richard E Clark; Andreas Hochhaus; Timothy P Hughes; Neil Gallagher; Albert Hoenekopp; Mei Dong; Ariful Haque; Richard A Larson; Hagop M Kantarjian
Journal:  N Engl J Med       Date:  2010-06-05       Impact factor: 91.245

9.  Characterization of AMN107, a selective inhibitor of native and mutant Bcr-Abl.

Authors:  Ellen Weisberg; Paul W Manley; Werner Breitenstein; Josef Brüggen; Sandra W Cowan-Jacob; Arghya Ray; Brian Huntly; Doriano Fabbro; Gabriele Fendrich; Elizabeth Hall-Meyers; Andrew L Kung; Jürgen Mestan; George Q Daley; Linda Callahan; Laurie Catley; Cara Cavazza; Mohammad Azam; Azam Mohammed; Donna Neuberg; Renee D Wright; D Gary Gilliland; James D Griffin
Journal:  Cancer Cell       Date:  2005-02       Impact factor: 31.743

10.  Phase II Trial of Nilotinib in Patients With Metastatic Malignant Melanoma Harboring KIT Gene Aberration: A Multicenter Trial of Korean Cancer Study Group (UN10-06).

Authors:  Su Jin Lee; Tae Min Kim; Yu Jung Kim; Kee-Taek Jang; Hyo Jin Lee; Soon Nam Lee; Mi Sun Ahn; In Gyu Hwang; Suee Lee; Moon-Hee Lee; Jeeyun Lee
Journal:  Oncologist       Date:  2015-09-30
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  40 in total

1.  Targeting the HGF/MET Axis Counters Primary Resistance to KIT Inhibition in KIT-Mutant Melanoma.

Authors:  Junna Oba; Sun-Hee Kim; Wei-Lien Wang; Mariana P Macedo; Fernando Carapeto; Meredith A McKean; John Van Arnam; Agda K Eterovic; Shiraj Sen; Charuta R Kale; Xiaoxing Yu; Cara L Haymaker; Mark Routbort; Lauren E Haydu; Chantale Bernatchez; Alexander J Lazar; Elizabeth A Grimm; David S Hong; Scott E Woodman
Journal:  JCO Precis Oncol       Date:  2018-06-05

Review 2.  Translational pathology, genomics and the development of systemic therapies for acral melanoma.

Authors:  Yian Ann Chen; Jamie K Teer; Zeynep Eroglu; Jheng-Yu Wu; John M Koomen; Florian A Karreth; Jane L Messina; Keiran S M Smalley
Journal:  Semin Cancer Biol       Date:  2019-11-02       Impact factor: 15.707

Review 3.  Progressing Vulvar Melanoma Caused by Instability in cKIT Juxtamembrane Domain: A Case Report and Review of Literature.

Authors:  Monika Englert-Golon; Bartłomiej Budny; Małgorzata Lewandowska; Bartosz Burchardt; Natalia Smolarek; Katarzyna Ziemnicka; Paweł Piotr Jagodziński; Marek Ruchała; Marlena Grabowska; Stefan Sajdak
Journal:  Curr Oncol       Date:  2022-04-29       Impact factor: 3.109

Review 4.  Small molecule inhibitors targeting the cancers.

Authors:  Gui-Hong Liu; Tao Chen; Xin Zhang; Xue-Lei Ma; Hua-Shan Shi
Journal:  MedComm (2020)       Date:  2022-10-13

Review 5.  Evolving Treatment Approaches to Mucosal Melanoma.

Authors:  Shuai Zhang; Jiaran Zhang; Jun Guo; Lu Si; Xue Bai
Journal:  Curr Oncol Rep       Date:  2022-05-05       Impact factor: 5.945

Review 6.  Treatment Options for Advanced Melanoma After Anti-PD-1 Therapy.

Authors:  Nalan Akgul Babacan; Zeynep Eroglu
Journal:  Curr Oncol Rep       Date:  2020-03-20       Impact factor: 5.075

Review 7.  Update on systemic therapy for advanced cutaneous melanoma and recent development of novel drugs.

Authors:  Thein Swe; Kevin B Kim
Journal:  Clin Exp Metastasis       Date:  2018-07-17       Impact factor: 5.150

Review 8.  The mutational landscape of mucosal melanoma.

Authors:  Kelsey W Nassar; Aik Choon Tan
Journal:  Semin Cancer Biol       Date:  2019-10-23       Impact factor: 15.707

Review 9.  Role of the ABL tyrosine kinases in the epithelial-mesenchymal transition and the metastatic cascade.

Authors:  Jillian Hattaway Luttman; Ashley Colemon; Benjamin Mayro; Ann Marie Pendergast
Journal:  Cell Commun Signal       Date:  2021-05-22       Impact factor: 7.525

10.  Evidence of Omics, Immune Infiltration, and Pharmacogenomic for SENP1 in the Pan-Cancer Cohort.

Authors:  Somayye Taghvaei; Farzaneh Sabouni; Zarrin Minuchehr
Journal:  Front Pharmacol       Date:  2021-07-01       Impact factor: 5.810

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