Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2016 Dec 15.
Published in final edited form as: Clin Cancer Res. 2012 Jan 12;18(7):2056–2065. doi: 10.1158/1078-0432.CCR-11-0563

Phase II Efficacy and Pharmacogenomic Study of Selumetinib (AZD6244; ARRY-142886) in Iodine-131 Refractory Papillary Thyroid Carcinoma with or without Follicular Elements

D Neil Hayes 1, Amy S Lucas 1, Tawee Tanvetyanon 7, Monika K Krzyzanowska 5, Christine H Chung 8, Barbara A Murphy 6, Jill Gilbert 6, Ranee Mehra 4, Dominic T Moore 1, Arif Sheikh 1, Janelle Hoskins 1, Michele C Hayward 1, Ni Zhao 1, Wendi O’Connor 1, Karen E Weck 2, Roger B Cohen 4, Ezra EW Cohen 3
PMCID: PMC5157199  NIHMSID: NIHMS737768  PMID: 22241789

Abstract

Purpose

A multicenter, open-label, phase II trial was conducted to evaluate the efficacy, safety, and tolerability of selumetinib in iodine-refractory papillary thyroid cancer (IRPTC).

Experimental Design

Patients with advanced IRPTC with or without follicular elements and documented disease progression within the preceding 12 months were eligible to receive selumetinib at a dose of 100 mg twice daily. The primary endpoint was objective response rate using Response Evaluation Criteria in Solid Tumors. Secondary endpoints were safety, overall survival, and progression-free survival (PFS). Tumor genotype including mutations in BRAF, NRAS, and HRAS was assessed.

Results

Best responses in 32 evaluable patients out of 39 enrolled were 1 partial response (3%), 21 stable disease (54%), and 11 progressive disease (28%). Disease stability maintenance occurred for 16 weeks in 49%, 24 weeks in 36%. Median PFS was 32 weeks. BRAF V600E mutants (12 of 26 evaluated, 46%) had a longer median PFS compared with patients with BRAF wild-type (WT) tumors (33 versus 11 weeks, respectively, HR = 0.6, not significant, P = 0.3). The most common adverse events and grades 3 to 4 toxicities included rash, fatigue, diarrhea, and peripheral edema. Two pulmonary deaths occurred in the study and were judged unlikely to be related to the study drug.

Conclusions

Selumetinib was well tolerated but the study was negative with regard to the primary outcome. Secondary analyses suggest that future studies of selumetinib and other mitogen-activated protein (MAP)/extracellular signal-regulated kinase (ERK; MEK) inhibitors in IRPTC should consider BRAF V600E mutation status in the trial design based on differential trends in outcome.

Introduction

The overall incidence of thyroid cancer in the United States rose at 5% to 6% annually from 1997 to 2006. New cases for 2009 are estimated at 37,200 (1). The prevalence is 410,404 and estimated deaths are 1,630 for 2009 (1). The most common type is papillary, comprising 70% to 80% of thyroid cancers. The prognosis is extremely good for papillary thyroid cancer (PTC) with overall 10-year survival rates of 98% (13). Once thyroid cancer is locally advanced or metastatic and no longer amenable to surgery, however, expected survival declines significantly (4, 5). The 10-year recurrence rate is 20% to 30% in high-risk patients, and approximately 5% will progress to radioiodine refractory disease. The 10-year survival rate is less than 15% (6, 7). Doxorubicin is the only U.S. Food and Drug Administration–approved therapy but is generally considered of low efficacy and high toxicity (8, 9).

Mutations in the mitogen-activated protein kinase (MAPK) signaling pathway involving the genes RET, BRAF, NTRK, and RAS have been reported in independent cohorts in up to 70% of patients with PTC (1015). The high frequency and nonoverlapping nature of these mutational events suggests a high degree of dependency of thyroid cancers on MAPK pathway signaling and its common downstream effectors, MEK1/2 [MAPK/extracellular signal-regulated kinase (ERK; MEK)]. Consequently, MEK inhibition represents a shared target for the common activating mutations in RET, RAS and BRAF that characterize PTC.

Selumetinib is a potent, selective, orally bioavailable, non-ATP competitive small-molecule inhibitor of the MAPK kinases, MEK-1/2. In vitro studies have shown that selumetinib and its N-desmethyl metabolite are potent and selective inhibitors of MEK (16, 17). Selumetinib was particularly potent in PTC cell lines with V600E BRAF gene mutation and some cell lines with RAS mutations (1620).

In a phase 1 trial, oral selumetinib 100 mg twice daily was well tolerated with rash as the most frequent and dose-limiting toxicity. Most other adverse events were grade 1 or 2. Pharmacokinetics were less than dose proportional, with a median half-life of approximately 8 hours and inhibition of ERK phosphorylation in peripheral blood mononuclear cells at all dose levels. Nine patients had stable disease (SD) for 5 months or more, including one patient with thyroid cancer with SD for 19 months (21).

MEK inhibition with selumetinib represents a uniquely attractive therapeutic opportunity in patients with iodine-refractory papillary thyroid cancer (IRPTC) for whom there is no standard treatment. We conducted this phase 2 trial to determine the safety and efficacy of selumetinib in patients with IRPTC, including analyses of tumor genotype for mutations in BRAF, NRAS, and HRAS.

Materials and Methods

Patients

Patients eligible for this study had histologically or cytologically confirmed PTC with or without follicular elements with evidence for progressive disease (PD) that was no longer amenable to radioactive iodine therapy (iodine refractory) or curative surgical resection. Iodine refractory was defined as tumors that were no longer iodine avid, tumors that did not respond to the most recent radioactive iodine treatment, and patients who were ineligible for further radioactive iodine due to medical contraindications (e.g., lung toxicity). Disease progression had to be documented within the preceding 12 months by objective measurements on radiology evaluation. Progression as an entry criterion did not require that the change met Response Evaluation Criteria in Solid Tumors (RECIST) criteria (22). However, to be eligible, patients were required to have at least 1 RECIST-defined target lesion. There were no limitations on the number or nature of each patient’s prior therapies except as follows: at least 4 weeks elapsed since the most recent radiotherapy or chemotherapy (6 weeks for nitrosoureas or mitomycin C); and no prior treatments with tyrosine kinase inhibitors (TKI) that target RET, RAF, or MEK. Other eligibility criteria included age more than 18 years; life expectancy more than 12 weeks; Eastern Cooperative Oncology Group (ECOG) performance status of 2 or less; adequate hepatic, renal, and bone marrow function, and excluded HIV-positive patients on antiretroviral therapy and patients taking other simultaneous investigational agents, with known brain metastases, with QTc interval more than 450 msec, or other factors that increase the risk of QT prolongation or arrhythmic events and with uncontrolled intercurrent illness. Patients with refractory nausea and vomiting, chronic gastrointestinal diseases, or significant bowel resection that would preclude adequate absorption were also ineligible. Premenopausal women were required to have a negative pregnancy test and to avoid breastfeeding, and all patients of childbearing potential were required to use contraception. All patients provided written, informed consent before enrollment. The study protocol was approved by the Institutional Review Board at each of the participating centers and was carried out in accordance with the Declaration of Helsinki. The study was conducted and funded entirely through the National Cancer Institute’s Phase II Clinical Trials Consortium N01 mechanism except for the correlative studies which were supported by a grant from AstraZeneca.

Study design and endpoints

This study, NCI 7918, was conducted as an open-label, multi-institution, phase II study of selumetinib in IRPTC with or without follicular elements. Selumetinib was administered orally as a free base suspension at a dose of 100 mg twice daily for 28-day cycles. Those patients experiencing Common Terminology Criteria for Adverse Events (CTCAE) v3.0 grade 3 toxicity or worse had their dose reduced to 50 mg twice daily and then to 50 mg once daily, if necessary. Selumetinib treatment was continued until disease progression, illness preventing further treatment, unacceptable toxicity, or patient withdrawal of consent. Disease progression was defined by RECIST. Patients were followed until disease progression, death, or for 2 years, whichever came first after removal from study. Patients removed from study for unacceptable adverse events were followed until resolution or stabilization of the adverse event. The primary endpoint was objective response (CR + PR), and secondary endpoints included progression-free survival (PFS), toxicity, and tumor genotyping. PFS is defined as the time from initiation of selumetinib to the date of progression or death.

Baseline evaluations including physical exam and laboratory assessments were done within 1 week prior to start of therapy. Scans and X-rays were done 4 weeks or less prior to selumetinib therapy. Physical exam and laboratories were repeated every 2 weeks for the first 6 weeks and then every 4 weeks thereafter. Radiographic tumor reassessments were carried out with RECIST every 8 weeks and at removal from study for PD. Confirmatory scans were obtained 4 weeks following initial documentation of objective response. Adverse events were reported and graded according to CTCAE v3.0.

Tumor genotyping

BRAF mutation testing was carried out by pyrosequencing. Previous investigators have confirmed that tissue from initial tumor resection is concordant with distant metastasis with regard to mutation genotype for BRAF in particular (10). For this reason, primary tumor was considered appropriate for tumor mutation testing. Formalin-fixed paraffin-embedded samples were macrodissected to enrich for tumor cells prior to DNA extraction. DNA was extracted by the QIAGEN DNeasy Tissue Extraction Kit from tissue samples pretreated with xylene for removal of paraffin. Pyrosequencing was carried out to identify the BRAF V600E mutation using the PyroMark BRAF RUO Kit (Qiagen #40-0057), as per manufacturer instructions. PCR reactions were carried out on a Veriti thermal cycler (Applied Biosystems) and pyrosequencing was done on the Pyro-Mark MD (Pyrosequencing AB). A positive control, normal control, and blank (no DNA template) PCR control were included in each assay. Pyrograms were analyzed by Pyro-Mark 1.0 software with allele quantification mode to determine the percentage of mutant versus WT alleles according to relative peak height (23). Repeat genotyping of BRAF V600E and genotyping of NRAS Q61R, NRAS Q61K, and HRAS Q61R was carried out with PCR, and Pyrosequencing as previously described using the primer sets described by Volante and colleagues (24, 25).

Statistical analysis

A consensus standard of care for IRPTC does not exist. Historical data involving chemotherapy are difficult to interpret due to small sample sizes, retrospective reporting, inconsistent response assessment criteria, and lack of controls. A conservative estimate of the lower range of response rate of the best-studied agent in this disease, doxorubicin, is 5% using at least one published study (26). Therefore, we determined that selumetinib would be worthy of further evaluation if the response rate (CR + PR) were at least 20%. With a sample size of 32 patients, an exact binomial test with a nominal alpha = 0.1 (1-sided significance level) has 90% power to detect the difference between the null hypothesis proportion of 0.05 (or 5%) versus the alternative proportion of 0.20 (or 20%). Duration of response and PFS were assessed, and 95% CIs for the medians were provided. Differences in outcomes between patients with and without BRAF V600E mutation were assessed by Cox regression modeling. Demographic data were analyzed by summary statistics. Toxicities were reported as a proportion of patients with the event over the intention to treat population. All analyses were conducted with SPSS version 18 for Windows and the statistical programming language, R version 2.11.1.

Results

Patients

Between December 11, 2007 and June 30, 2009, 39 patients were enrolled and all were evaluable for toxicity from their first treatment with selumetinib. The number of evaluable patients for objective response, which was the primary endpoint of this study, was 32. These patients had measurable disease present at baseline and received at least one cycle of therapy and had a disease reevaluation. The demographics and baseline characteristics are summarized in Table 1. The median age of patients was 64 years (range, 37–86 years). The population was predominantly men (67%) and Caucasian (87%). Only 9 of 39 subjects (23%) had received prior systemic therapy. The majority of patients had an ECOG performance status of 0 or 1 (56% and 36%, respectively). The predominant age ranges at diagnosis for the evaluable patients were 40 to 49 (19%), 50 to 59 (28%), and 60 to 69 (22%). The number of patients over age 45 at diagnosis was 27 (69%). The time from original diagnosis to enrollment on trial was less than 5 years in 13 subjects (41%) and less than 2 years in 5 of these subjects (16%). When considering demographics based on BRAF V600E status (mutant vs. WT), more mutant patients were originally diagnosed at an age over 45 years (92 vs. 50%) but were similar in age at the time of study entry with a median age of 60 versus 56 years. Less prior systemic therapy (17 vs. 29%) was also noted in the patients with mutations versus the patients with tumors lacking defined mutations. The median time from diagnosis to initiation of selumetinib was similar in both groups (5 for mutant vs. 6 years for WT).

Table 1.

Baseline patient characteristics

Characteristic ALL (N = 39)
BRAF V600E (N = 12)
BRAF WT (N = 14)
No. % No. % No. %
Age, years
 Median 64 (37–86) 60 (49–82) 56 (37–80)
Race/ethnicity
 White 34 87
 Black 2 5
 Asian 2 5
 Other 1 3
Sex
 Male 26 67 8 67 11 79
 Female 13 33 4 33 3 21
ECOG PS
 0 22 56
 1 14 36
 2 3 8
Age at diagnosis, >45 y
 Yes 27 69 11 92 7 50
Prior systemic therapy
 Yes 9 23 2 17 4 29

Abbreviation: PS, performance status.

Efficacy and effectiveness

All analyses presented are based on intention to treat analysis (effectiveness) unless specifically stated otherwise. For the efficacy analyses only those patients who had measurable disease present at baseline, had received at least 1 cycle of therapy and had their disease reevaluated were considered evaluable for the primary endpoint of the study which was objective response. Seven (18%) enrolled patients were not evaluable. This was due to PD prior to completion of 1 cycle (1), adverse effects of therapy (1), withdrawal of consent prior to completion of 1 cycle (4), and no disease evaluation per protocol (1). The patient with PD prior to cycle 1 received less than 1 cycle of therapy and then was referred to hospice without disease reevaluation. By the protocol definitions, the patient was not evaluable but was considered to have PD for the intention to treat analysis. Table 2 shows the primary study outcome of objective response rate including 1 documented PR (3%), 21 SD (54%), and 11 PD (28%). One of the patients with SD met criteria for a PR but did not have confirmatory scans. PR +SD were seen in 57% at the initial evaluation. Stability of disease was maintained for 16 weeks in 49% of patients and in 36% at 24 weeks. Of the patients who obtained at least SD, the median duration of SD was 55 weeks (range, 3–98 weeks).

Table 2.

Patient response and treatment status

ALL (N = 39)
Evaluable (N = 32)
BRAF V600E (N = 12)
No. % No. % No. %
Best response by RECIST
 CR 0 0 0 0 0 0
 PR 1 3 1 3 1 8
 SD 21 54 21 66 9 75
 Clinical benefit (PR + SD) 22 57 22 69 10 83
 PD 11 28 10 31 2 17
 No data on response 6 15
Evaluable patients
 On study 4 10 4 12
 Off study 35 90 28 88
Reason off study
 Progression 19 49 18 56
 Adverse event 6 15 5 16
 Consent withdrawal 8 20 4 13
 Other illness 1 3 1 3
 No response assessment 1 3

Abbreviations: CR, complete response; PR, partial response.

Figure 1 shows the percent change in size of the target lesions in patients with measurable disease. The mutational status for BRAF and NRAS is also identified in this figure for those patients with samples available for testing. Over half of the patients with measurable disease had a reduction in size of the target lesions from baseline.

Figure 1.

Figure 1

Percent change in target lesions by mutational status for BRAF and NRAS. The mutation status was unavailable if not shown.

Safety

The most common drug-related adverse events are summarized in Table 3 and included rash (77%), fatigue (49%), diarrhea (49%), and peripheral edema (36%). Common grades 3 to 4 toxicities included rash (18%), fatigue (8%), diarrhea (5%), and peripheral edema (5%). Fourteen patients required dose delays and 12 patients required dose reductions due to toxicity. Six enrolled patients (15%) discontinued treatment as a result of adverse events. In addition to the common toxicities listed above, 2 grade 3 toxicities occurred once during the study. One patient experienced a grade 3 episode of confusion that resolved spontaneously in cycle 1 of therapy. The patient was ultimately restarted on study drug without recurrence of the confusion. A second patient had a grade 3 cardiac event (takotsubo syndrome) possibly attributed to study drug after 3 cycles of therapy. The patient was withdrawn from the study when the symptoms returned after rechallenge with the drug. Four deaths occurred on study. Two of these patients were considered evaluable for response, and the causes of death were due to PD. The first patient completed 3.7 weeks of treatment and died with progression approximately 4 weeks after starting therapy. The second patient completed 1 cycle of therapy, was felt to have PD at the start of cycle 2 and died approximately 4 weeks later. Neither patient had BRAF or NRAS mutations. The other 2 deaths were due to pulmonary complications. The first patient who had a history of bilateral pulmonary metastases developed bilateral pneumonia and was treated emergently at an outside facility that never returned records for further clarification. The death occurred in cycle 2 of therapy and was felt by study investigators to be unrelated to the study drug. A second patient had a history of trachea-esophageal fistula and developed a cavitary pneumonia in cycle 1 of therapy that was felt to be unlikely to be related to the study drug. Pulmonary toxicities have previously been reported in studies of selumetinib, but as in the current trial, the causality is undetermined.

Table 3.

Treatment-related adverse events

Adverse event Grades 1–2
Grades 3–4
No. % No. %
Rash 23 59 7 18
Diarrhea 17 44 2 5
Fatigue 16 41 3 8
Peripheral edema 12 31 2 5
Elevated liver enzymes 9 23 0 0
Electrolyte abnormalities 7 18 0 0
Nausea/vomiting 7 18 0 0
Stomatitis 6 15 1 3
Dyspnea 5 13 0 0

NOTE: All enrolled patients are included in the assessment for toxicity (N =39). Four patients who died on study are discussed in the text including 2 pulmonary deaths.

Tumor genotype and survival analyses

Tissue samples were obtained from 26 of 32 evaluable patients. Most of these samples were from the date of the original diagnosis. BRAF mutation testing was carried out by pyrosequencing, and 12 of 26 (46%) samples were positive. The 2 patients with the greatest reduction in tumor volume (one partial responder and one unconfirmed partial responder) had documented BRAF V600E mutations. Genotypes passing quality assurances were obtained for all patients who provided tissue. Failure to obtain a genotype was entirely due to lack of tumor tissue. For example, in at least one case no tumor remained in the blocks that were received for genotyping. In other cases, no surgical blocks were retained from the primary surgery, the blocks could not be located, or the outside referring hospital failed to return repeated requests for the blocks.

Figure 2A shows the Kaplan–Meier curve for PFS. The median PFS for all patients was 32 weeks (95% CI = 8.4–56 weeks). The median length of treatment for all patients was 13 weeks (range: 0.3–98). This figure also reveals that patients with tumors containing the BRAF V600E genotype (12 of 26) had an improved median PFS of 33 weeks (95% CI = 30–35 weeks) compared with a median PFS of 11 weeks (95% CI = 5–16 weeks) in patients with tumors lacking this mutation, although this comparison did not reach statistical significance with CIs overlapping throughout the follow-up period (HR = 0.6, P = 0.3, 95% CI = 0.22–1.6).

Figure 2.

Figure 2

A, Kaplan–Meier estimate of PFS for all patients on study and by BRAF and NRAS genotype. The median PFS is shown for BRAF WT (11 weeks), BRAF V600E or NRAS Q61R (33 weeks), and all subjects including those with an unknown mutational status (32 weeks). B, Kaplan–Meier estimate of the time from original diagnosis of PTC to initiation of treatment with selumetinib for all evaluable patients on study and by BRAF and NRAS genotype.

To evaluate the possibility that BRAF mutation status might convey prognostic significance, and partially explain the difference in treatment outcomes by mutation status, we investigated the time from initial diagnosis to the time of initiation of therapy on the clinical trial (Fig. 2B). There was no difference according to mutation status, supporting the difference in time to progression as a function of differential response to selumetinib by mutation status.

Genotyping was also carried out for NRAS Q61K, NRAS Q61R, and HRAS Q61R. The samples were all negative for the NRAS Q61K and HRAS Q61R mutations. A single tumor specimen was positive for the NRAS Q61R genotype; it was negative for the BRAF V600E mutation and the best response in this patient was PD.

Discussion

Patients with PTC have few therapeutic options once surgery and radiotherapy (including radioactive iodine) have proven ineffective. There are currently no approved standards of care for patients in this setting. Although there are significant data about activation of oncogenic pathways mediated through MEK in PTC, until recently there was a paucity of agents available that target these proteins.

In this trial of selumetinib, a small-molecule inhibitor of the MAPK kinases MEK-1/2, the primary endpoint of an overall response rate of at least 20% in patients with IRPTC was not met. It is potentially useful to put the results of this study into the context of other recent clinical trials of IRPTC, with the caveat that direct comparison of phase II trials should be undertaken with caution (Table 4). A direct comparison is challenging because of small sample sizes, differences in the underlying risk of heterogeneous patient populations across studies, as well as any true differences in the effectiveness of the therapies under study. Allowing for these concerns, we report a distinctly lower objective response rate in the current trial of selumetinib compared with other TKIs recently studied. In addition, PD as “best response” was seen at rates that are 3 times the rate of other studies of IRPTC reported in Table 4. There were no complete responses reported in any of the studies. At the same time, using a modified definition of clinical benefit to standardize across studies (CB = CR + PR + SD) that has been previously suggested, selumetinib compares more favorably with other recent studies with CB of 57% versus published rates of 61% to 81% (27). Although IRPTC studies generally report SD outcomes, it is worth recalling that the natural history of the disease is frequently characterized by prolonged periods of slow progression. In other words, reporting SD might overstate the activity of the therapy. To overcome this challenge to the evaluation of thyroid cancer therapy, 3 of the 4 studies included only patients with documented evidence of progression within the last 6 to 12 months (to enrich for actively progressing patients) and additionally reported outcomes for patients who attained longer periods of disease stabilization. Using prolonged SD measures as reported by other investigators, we observed 36% of patients with SD lasting over 24 weeks which compares favorably with the SD proportions with axitinib (38% over 16 weeks), sorafenib (53% from 14–89+ weeks), and motesanib (35% over 24 weeks; refs. 2729). Similar to the case for response rates, patients treated with selumetinib showed PFS rates that were shorter than for the 3 comparator studies. PFS in the current trial was short even for the group with the most favorable outcomes, the BRAF-mutant tumors (33 versus 40 weeks for motesanib). Survival in the BRAF WT patients was strikingly reduced compared with historic controls at a median of 11 weeks. We therefore conclude that there is little evidence going forward to suggest any benefit of selumetinib in BRAF WT tumors. In terms of best response to therapy, we note that only 2 of 9 (22%) patients who had PD as their best response exhibited a mutation in BRAF whereas 10 of 17 (59%) patients who attained SD or better had mutations.

Table 4.

Comparative data for kinase inhibitors in thyroid cancer

Characteristics Sorafenib30 Axitinib29 Motesanib28 Selumetinib
 Median age, y 63 (31–89) 59 (26–84) 62 (36–81) 64 (37–86)
 Male, % 50 58 53 67
 Prior systemic therapy, % 17 39 17 23
 Median time from original diagnosis, y 4.4 (0.4–21.3) 8.6 (0.3–16.9)
 Thyroid cancer subtype, papillary, % 60 50 61 100
 Thyroid cancer subtype, papillary or follicular, % 90 75 96 100
Clinical benefit (CR + PR + SD), % 76 68 81 57
 CR, % 0 0 0 0
 PR, % 23 30 14 3
 SD, % 53 38 67 54
 PD, % 3 7 8 28
 PD requirement at study entry, mo 12 NA 6a 12
 Median PFS, mo 19.7 18 10 7.5

Abbreviations: CR, complete response; PR, partial response.

a

Study required PD using RECIST.

There are at least 3 plausible explanations as to the differences in outcomes between the phase II studies described in Table 4. First, all 4 studies are small phase II trials and differences may simply relate to statistical chance or sampling in the setting of heterogeneous patient populations. Interestingly, all 4 studies document a fairly large fraction of patients who are not evaluable: 25%, 21%, 12%, and 15% for axitinib, sorafenib, motesanib, and selumetinib, respectively. Therefore, some variability in the underlying rates could be accounted for simply by missing data. Chance and missing data alone are unlikely to explain the consistent pattern of inferior outcomes in the current study of selumetinib. Next, we suggest that differences in outcomes could relate in part to differences in underlying risk factors between the patients treated on the different studies. There is evidence that underlying risks are different between the trials by considering known or suspected risk factors for poor outcome in IRPTC as shown in Table 4. For example, patients in the current trial were diagnosed with thyroid cancer much more remotely in the past (8.6 years) than patients in the motesanib trial (4.4 years), the only other study that reported data on duration of disease. BRAF WT patients, those with the most unfavorable outcomes had even longer times since their original diagnosis, 9.6 years. Although the impact of years since diagnosis is not an established stratification variable for IRPTC, it is at least plausible that patients farther into their disease course might be expected to have overall worse outcomes including rapid progression. Other factors including patient age and particularly male gender are reported to convey increased risk in IRPTC and were the most unfavorably represented in the current cohort relative to the 3 comparators (30). Finally, a plausible explanation for differences in outcomes across the studies is differences in the effectiveness of therapies. Certainly, there is no support in the current trial that selumetinib is as effective as the other agents considered, although such a comparison is not specifically relevant because its reported mechanism of action is different than that of the other TKIs. There is a distinct possibility that the drug is of low clinical potency overall in this disease and alternate inhibitors of MEK or BRAF might be more effective in targeting IRPTC. Finally, as with any phase II study without a placebo arm, particularly in which outcomes might be worse than one would generally anticipate, one must always be concerned that the therapy was detrimental to patient outcomes in some cases.

The toxicity profile of selumetinib compares favorably with other novel agents and to conventional chemotherapy. The most common side effects of selumetinib consisted of rash, fatigue, diarrhea, and peripheral edema. Only a small portion of patients experiencing these side effects developed grades 3 to 4 toxicities. Only 16% of patients discontinued selumetinib therapy due to adverse events. Reported objective response rates have been greater in recent studies in advanced thyroid cancer of agents (axitinib, motesanib, sorafenib, and sunitinib) that target the vascular endothelial growth factor receptor (VEGFR) compared with agents such as selumetinib and gefitinib that do not target the VEGFR (2729, 31, 32). This observation suggests that angiogenesis may be more important in progression of disease than signaling pathways known to be activated in the tumor such as RAS/RAF/MAPK activation.

This study reports mutation rates which are largely in line with data reported by at least one large repository of mutation data, the Catalogue of Somatic Mutations in Cancer (COSMIC, http://www.sanger.ac.uk/genetics/CGP/cosmic/ accessed November 1, 2011). Comparing rates from this study to previous reports show BRAF rates equal to the public repository at 46% in both cases. We observed NRAS in 1 of 26 (4%) and HRAS in 0 of 26 samples genotyped, which is lower than the 6% and 3% rate, respectively in COSMIC but within sampling error given the small study size. The recent motesanib trial genotyped 30 patients and reported a lower BRAF mutation rate of 30%, with HRAS 3%, and NRAS 12%. Again, while small sample size alone could explain any discrepancies, other factors such as different proportions of the morphologic variants of thyroid cancer included in the studies (i.e., follicular variant of PTC) might impact the mutation rates. Although morphology was an inclusion criterion in the study, details of morphology variants were not incorporated into the analysis plan and were therefore not systematically recorded. Future studies might consider more carefully the interactions of morphologic variants, genotypes, and outcome parameters.

When stratified by BRAF mutation status, patients with the V600E mutation show median PFS nearly 3 times that of patients with the WT allele (33 vs. 11 weeks, not statistically significant). By contrast, the time from the original diagnosis of PTC to the initiation of selumetinib therapy does not appear to be affected by the mutational status for BRAF. This offers additional evidence that the differences in outcome observed in our study are related to the predictive nature of the BRAF V600E mutation in response to therapy rather than its prognostic significance.

The role of BRAF mutation in determining the response to targeted therapy has recently received increasing attention. This is of great relevance in cancers such as PTC in which the V600E mutation is observed in a median of 52% of cases (37%–73%) for studies reporting data on mutation frequency, and melanoma in which BRAF is mutated in 50% to 60% of advanced cases (14, 3339). In a recent phase II study of selumetinib in advanced melanoma, a mutated BRAF status conferred a more favorable outcome. More strikingly, a recently completed phase I trial of the BRAF inhibitor PLX4032 in metastatic melanoma resulted in complete or partial tumor regression in the majority of patients carrying the BRAF V600E mutation (40). Unfortunately, the objective responses in PTC have not been as striking and may be explained by involvement of additional mutations of cell signaling pathways. For example, late acquisition of mutations in PIK3CA or AKT1 during tumor progression in thyroid cancer has been reported in some cases (10). When present, PIK3CA/AKT1 mutations would suggest coactivation of MAPK and PI3K in disease progression. Experimental compounds targeting effectors in the PI3K/AKT/mTOR pathway are being developed and could be considered in combination with a MEK inhibitor to improve response rates in future studies of thyroid cancer (41).

In conclusion, the selective MEK inhibitor selumetinib is well tolerated but the study was negative with regard to its primary endpoint. The drug showed modest activity at best as a single agent in unselected patients with PTC, mainly reflected as SD. When considering BRAF genotype, patients with tumors containing BRAF V600E mutations showed a trend (statistically not significant) to benefit preferentially although the best response was prolonged SD. The notable difference in outcome according to BRAF mutation status strongly suggests that future studies of selumetinib and other MEK inhibitors should consider BRAF genotyping in the design and analysis.

Translational Relevance.

Patients with iodine-refractory papillary thyroid cancer (IRPTC) have few therapeutic options, and there is currently no consensus standard of care for patients in this setting. Activation of RAF/MEK/ERK [mitogen-activated protein (MAP)/extracellular signal-regulated kinase (ERK; MEK)] signaling is common in this disease, particularly through a very high prevalence mutation in the oncogene BRAF. Selumetinib is an inhibitor of the MAPK kinases, MEK-1/2 downstream of RAF, and would therefore be an attractive therapeutic candidate to investigate in IRPTC. We report the first phase II clinical experience with selumetinib in IRPTC, including genotyping for key somatic variants reported to be commonly altered in the disease. Although the study failed to meet its primary endpoint for response rate, we provide the first evidence ever reported in thyroid cancer that targeting therapy to an oncogene documented to be present in the patient receiving therapy is associated with clinical benefit. Conversely, we document no evidence for benefit in patients without the mutation.

Acknowledgments

The authors thank Dr. Kay Chao for conducting the BRAF pyrosequencing analysis.

Grant Support

This work was supported by NCI contract N01 CM-62208 to the Southeast Phase 2 Consortium and N01-CM-17102 to the University of Chicago Phase 2 Consortium. AstraZeneca provided support for this Investigator Sponsored Study (ISS) for the correlative studies. D.N. Hayes, M. Krzyzanowska, R.B. Cohen, and C. Chung have research support from AstraZeneca. R.B. Cohen and M. Krzyzanowska have research support from Exelixis. R.B. Cohen has research support from Pfizer.

Footnotes

Note: These data were presented at the 2010 ASCO Annual Meeting as a poster discussion.

Disclosure of Potential Confiicts of Interest

No potential conflicts of interest were disclosed.

References

  • 1.Jemal A, Siegel R, Ward E, Hao Y, Xu J, Thun MJ. Cancer statistics, 2009. CA Cancer J Clin. 2009;59:225–49. doi: 10.3322/caac.20006. [DOI] [PubMed] [Google Scholar]
  • 2.Gilliland FD, Hunt WC, Morris DM, Key CR. Prognostic factors for thyroid carcinoma. A population-based study of 15,698 cases from the Surveillance, Epidemiology and End Results (SEER) program 1973–1991. Cancer. 1997;79:564–73. doi: 10.1002/(sici)1097-0142(19970201)79:3<564::aid-cncr20>3.0.co;2-0. [DOI] [PubMed] [Google Scholar]
  • 3.Sherman SI. Thyroid carcinoma. Lancet. 2003;361:501–11. doi: 10.1016/s0140-6736(03)12488-9. [DOI] [PubMed] [Google Scholar]
  • 4.Ruegemer JJ, Hay ID, Bergstralh EJ, Ryan JJ, Offord KP, Gorman CA. Distant metastases in differentiated thyroid carcinoma: a multivariate analysis of prognostic variables. J Clin Endocrinol Metab. 1988;67:501–8. doi: 10.1210/jcem-67-3-501. [DOI] [PubMed] [Google Scholar]
  • 5.Shoup M, Stojadinovic A, Nissan A, Ghossein RA, Freedman S, Brennan MF, et al. Prognostic indicators of outcomes in patients with distant metastases from differentiated thyroid carcinoma. J Am Coll Surg. 2003;197:191–7. doi: 10.1016/S1072-7515(03)00332-6. [DOI] [PubMed] [Google Scholar]
  • 6.Cooper DS, Doherty GM, Haugen BR, Kloos RT, Lee SL, Mandel SJ, et al. Management guidelines for patients with thyroid nodules and differentiated thyroid cancer. Thyroid. 2006;16:109–42. doi: 10.1089/thy.2006.16.109. [DOI] [PubMed] [Google Scholar]
  • 7.Durante C, Haddy N, Baudin E, Leboulleux S, Hartl D, Travagli JP, et al. Long-term outcome of 444 patients with distant metastases from papillary and follicular thyroid carcinoma: benefits and limits of radio-iodine therapy. J Clin Endocrinol Metab. 2006;91:2892–9. doi: 10.1210/jc.2005-2838. [DOI] [PubMed] [Google Scholar]
  • 8.Gottlieb JA, Hill CS., Jr Chemotherapy of thyroid cancer with adriamycin. Experience with 30 patients. N Engl J Med. 1974;290:193–7. doi: 10.1056/NEJM197401242900404. [DOI] [PubMed] [Google Scholar]
  • 9.Shimaoka K, Schoenfeld DA, DeWys WD, Creech RH, DeConti R. A randomized trial of doxorubicin versus doxorubicin plus cisplatin in patients with advanced thyroid carcinoma. Cancer. 1985;56:2155–60. doi: 10.1002/1097-0142(19851101)56:9<2155::aid-cncr2820560903>3.0.co;2-e. [DOI] [PubMed] [Google Scholar]
  • 10.Kimura ET, Nikiforova MN, Zhu Z, Knauf JA, Nikiforov YE, Fagin JA. High prevalence of BRAF mutations in thyroid cancer: genetic evidence for constitutive activation of the RET/PTC-RAS-BRAF signaling pathway in papillary thyroid carcinoma. Cancer Res. 2003;63:1454–7. [PubMed] [Google Scholar]
  • 11.Soares P, Trovisco V, Rocha AS, Lima J, Castro P, Preto A, et al. BRAF mutations and RET/PTC rearrangements are alternative events in the etiopathogenesis of PTC. Oncogene. 2003;22:4578–80. doi: 10.1038/sj.onc.1206706. [DOI] [PubMed] [Google Scholar]
  • 12.Frattini M, Ferrario C, Bressan P, Balestra D, De Cecco L, Mondellini P, et al. Alternative mutations of BRAF, RET and NTRK1 are associated with similar but distinct gene expression patterns in papillary thyroid cancer. Oncogene. 2004;23:7436–40. doi: 10.1038/sj.onc.1207980. [DOI] [PubMed] [Google Scholar]
  • 13.Ouyang B, Knauf JA, Smith EP, Zhang L, Ramsey T, Yusuff N, et al. Inhibitors of Raf kinase activity block growth of thyroid cancer cells with RET/PTC or BRAF mutations in vitro and in vivo. Clin Cancer Res. 2006;12:1785–93. doi: 10.1158/1078-0432.CCR-05-1729. [DOI] [PubMed] [Google Scholar]
  • 14.Cohen Y, Xing M, Mambo E, Guo Z, Wu G, Trink B, et al. BRAF mutation in papillary thyroid carcinoma. J Natl Cancer Inst. 2003;95:625–7. doi: 10.1093/jnci/95.8.625. [DOI] [PubMed] [Google Scholar]
  • 15.Nikiforova MN, Nikiforov YE. Molecular diagnostics and predictors in thyroid cancer. Thyroid. 2009;19:1351–61. doi: 10.1089/thy.2009.0240. [DOI] [PubMed] [Google Scholar]
  • 16.Yeh TC, Marsh V, Bernat BA, Ballard J, Colwell H, Evans RJ, et al. Biological characterization of ARRY-142886 (AZD6244), a potent, highly selective mitogen-activated protein kinase kinase 1/2 inhibitor. Clinical Cancer Res. 2007;13:1576–83. doi: 10.1158/1078-0432.CCR-06-1150. [DOI] [PubMed] [Google Scholar]
  • 17.Davies BR, Logie A, McKay JS, Martin P, Steele S, Jenkins R, et al. AZD6244 (ARRY-142886), a potent inhibitor of mitogen-activated protein kinase/extracellular signal-regulated kinase kinase 1/2 kinases: mechanism of action in vivo, pharmacokinetic/pharmacodynamic relationship, and potential for combination in preclinical models. Mol Cancer Ther. 2007;6:2209–19. doi: 10.1158/1535-7163.MCT-07-0231. [DOI] [PubMed] [Google Scholar]
  • 18.Leboeuf R, Baumgartner JE, Benezra M, Malaguarnera R, Solit D, Pratilas CA, et al. BRAFV600E mutation is associated with preferential sensitivity to mitogen-activated protein kinase kinase inhibition in thyroid cancer cell lines. J Clin Endocrinol Metab. 2008;93:2194–201. doi: 10.1210/jc.2007-2825. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Huynh H, Soo KC, Chow PK, Tran E. Targeted inhibition of the extracellular signal-regulated kinase kinase pathway with AZD6244 (ARRY-142886) in the treatment of hepatocellular carcinoma. Mol Cancer Ther. 2007;6:138–46. doi: 10.1158/1535-7163.MCT-06-0436. [DOI] [PubMed] [Google Scholar]
  • 20.Ball DW, Jin N, Rosen DM, Dackiw A, Sidransky D, Xing M, et al. Selective growth inhibition in BRAF mutant thyroid cancer by the mitogen-activated protein kinase kinase 1/2 inhibitor AZD6244. J Clin Endocrinol Metab. 2007;92:4712–8. doi: 10.1210/jc.2007-1184. [DOI] [PubMed] [Google Scholar]
  • 21.Adjei AA, Cohen RB, Franklin W, Morris C, Wilson D, Molina JR, et al. Phase I pharmacokinetic and pharmacodynamic study of the oral, small-molecule mitogen-activated protein kinase kinase 1/2 inhibitor AZD6244 (ARRY-142886) in patients with advanced cancers. J Clin Oncol. 2008;26:2139–46. doi: 10.1200/JCO.2007.14.4956. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Therasse P, Arbuck SG, Eisenhauer EA, Wanders J, Kaplan RS, Rubinstein L, et al. New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada. J Natl Cancer Inst. 2000;92:205–16. doi: 10.1093/jnci/92.3.205. [DOI] [PubMed] [Google Scholar]
  • 23.Spittle C, Ward MR, Nathanson KL, Gimotty PA, Rappaport E, Brose MS, et al. Application of a BRAF pyrosequencing assay for mutation detection and copy number analysis in malignant melanoma. J Mol Diagn. 2007;9:464–71. doi: 10.2353/jmoldx.2007.060191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Marsh S, King CR, Garsa AA, McLeod HL. Pyrosequencing of clinically relevant polymorphisms. Methods Mol Biol. 2005;311:97–114. doi: 10.1385/1-59259-957-5:097. [DOI] [PubMed] [Google Scholar]
  • 25.Volante M, Rapa I, Gandhi M, Bussolati G, Giachino D, Papotti M, et al. RAS mutations are the predominant molecular alteration in poorly differentiated thyroid carcinomas and bear prognostic impact. J Clin Endocrinol Metab. 2009;94:4735–41. doi: 10.1210/jc.2009-1233. [DOI] [PubMed] [Google Scholar]
  • 26.Matuszczyk A, Petersenn S, Bockisch A, Gorges R, Sheu SY, Veit P, et al. Chemotherapy with doxorubicin in progressive medullary and thyroid carcinoma of the follicular epithelium. Horm Metab Res. 2008;40:210–3. doi: 10.1055/s-2008-1046781. [DOI] [PubMed] [Google Scholar]
  • 27.Sherman SI, Wirth LJ, Droz JP, Hofmann M, Bastholt L, Martins RG, et al. Motesanib diphosphate in progressive differentiated thyroid cancer. N Engl J Med. 2008;359:31–42. doi: 10.1056/NEJMoa075853. [DOI] [PubMed] [Google Scholar]
  • 28.Cohen EE, Rosen LS, Vokes EE, Kies MS, Forastiere AA, Worden FP, et al. Axitinib is an active treatment for all histologic subtypes of advanced thyroid cancer: results from a phase II study. J Clin Oncol. 2008;26:4708–13. doi: 10.1200/JCO.2007.15.9566. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Gupta-Abramson V, Troxel AB, Nellore A, Puttaswamy K, Redlinger M, Ransone K, et al. Phase II trial of sorafenib in advanced thyroid cancer. J Clin Oncol. 2008;26:4714–9. doi: 10.1200/JCO.2008.16.3279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Sciuto R, Romano L, Rea S, Marandino F, Sperduti I, Maini CL. Natural history and clinical outcome of differentiated thyroid carcinoma: a retrospective analysis of 1503 patients treated at a single institution. Ann Oncol. 2009;20:1728–35. doi: 10.1093/annonc/mdp050. [DOI] [PubMed] [Google Scholar]
  • 31.Pennell NA, Daniels GH, Haddad RI, Ross DS, Evans T, Wirth LJ, et al. A phase II study of gefitinib in patients with advanced thyroid cancer. Thyroid. 2008;18:317–23. doi: 10.1089/thy.2007.0120. [DOI] [PubMed] [Google Scholar]
  • 32.Cohen EE, Needles BM, Cullen KJ, Wong SJ, Wade JL, Ivy SP, et al. Phase 2 study of sunitinib in refractory thyroid cancer. J Clin Oncol. 2008;26:6025. [Google Scholar]
  • 33.Davies H, Bignell GR, Cox C, Stephens P, Edkins S, Clegg S, et al. Mutations of the BRAF gene in human cancer. Nature. 2002;417:949–54. doi: 10.1038/nature00766. [DOI] [PubMed] [Google Scholar]
  • 34.Riesco-Eizaguirre G, Gutierrez-Martinez P, Garcia-Cabezas MA, Nistal M, Santisteban P. The oncogene BRAF V600E is associated with a high risk of recurrence and less differentiated papillary thyroid carcinoma due to the impairment of Na+/I- targeting to the membrane. Endocr Relat Cancer. 2006;13:257–69. doi: 10.1677/erc.1.01119. [DOI] [PubMed] [Google Scholar]
  • 35.Kebebew E, Weng J, Bauer J, Ranvier G, Clark OH, Duh QY, et al. The prevalence and prognostic value of BRAF mutation in thyroid cancer. Ann Surg. 2007;246:466–70. doi: 10.1097/SLA.0b013e318148563d. discussion 70–1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Fukushima T, Suzuki S, Mashiko M, Ohtake T, Endo Y, Takebayashi Y, et al. BRAF mutations in papillary carcinomas of the thyroid. Oncogene. 2003;22:6455–7. doi: 10.1038/sj.onc.1206739. [DOI] [PubMed] [Google Scholar]
  • 37.Elisei R, Ugolini C, Viola D, Lupi C, Biagini A, Giannini R, et al. BRAF (V600E) mutation and outcome of patients with papillary thyroid carcinoma: a 15-year median follow-up study. J Clin Endocrinol Metab. 2008;93:3943–9. doi: 10.1210/jc.2008-0607. [DOI] [PubMed] [Google Scholar]
  • 38.Kim TY, Kim WB, Rhee YS, Song JY, Kim JM, Gong G, et al. The BRAF mutation is useful for prediction of clinical recurrence in low-risk patients with conventional papillary thyroid carcinoma. Clin Endocrinol. 2006;65:364–8. doi: 10.1111/j.1365-2265.2006.02605.x. [DOI] [PubMed] [Google Scholar]
  • 39.Mian C, Barollo S, Pennelli G, Pavan N, Rugge M, Pelizzo MR, et al. Molecular characteristics in papillary thyroid cancers (PTCs) with no 131I uptake. Clin Endocrinol. 2008;68:108–16. doi: 10.1111/j.1365-2265.2007.03008.x. [DOI] [PubMed] [Google Scholar]
  • 40.Flaherty KT, Puzanov I, Kim KB, Ribas A, McArthur GA, Sosman JA, et al. Inhibition of mutated, activated BRAF in metastatic melanoma. N Engl J Med. 2010;363:809–19. doi: 10.1056/NEJMoa1002011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Ricarte-Filho JC, Ryder M, Chitale DA, Rivera M, Heguy A, Ladanyi M, et al. Mutational profile of advanced primary and metastatic radioactive iodine-refractory thyroid cancers reveals distinct pathogenetic roles for BRAF, PIK3CA, and AKT1. Cancer Res. 2009;69:4885–93. doi: 10.1158/0008-5472.CAN-09-0727. [DOI] [PMC free article] [PubMed] [Google Scholar]

RESOURCES