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BMJ Open Access logoLink to BMJ Open Access
. 2014 Mar 18;73(9):1607–1615. doi: 10.1136/annrheumdis-2013-204760

Efficacy and safety of olokizumab in patients with rheumatoid arthritis with an inadequate response to TNF inhibitor therapy: outcomes of a randomised Phase IIb study

Mark C Genovese 1, Roy Fleischmann 2, Daniel Furst 3, Namieta Janssen 4, John Carter 5, Bhaskar Dasgupta 6, Judy Bryson 7, Benjamin Duncan 7, Wei Zhu 7, Costantino Pitzalis 8, Patrick Durez 9, Kosmas Kretsos 10
PMCID: PMC4145439  PMID: 24641941

Abstract

Objectives

The aim of this 12-week Phase IIb study was to assess the efficacy and safety of olokizumab (OKZ), a humanised anti-IL6 monoclonal antibody, in patients with rheumatoid arthritis (RA) with moderate-to-severe disease activity who had previously failed tumour necrosis factor (TNF) inhibitor therapy. The dose-exposure-response relationship for OKZ was also investigated.

Methods

Patients were randomised to one of nine treatment arms receiving placebo (PBO) or OKZ (60, 120 or 240 mg) every 4 weeks (Q4W) or every 2 weeks (Q2W), or 8 mg/kg tocilizumab (TCZ) Q4W. The primary endpoint was change from baseline in DAS28(C-reactive protein, CRP) at Week 12. Secondary efficacy endpoints were American College of Rheumatology 20 (ACR20), ACR50 and ACR70 response rates at Week 12. Exploratory analyses included comparisons of OKZ efficacy with TCZ.

Results

Across 221 randomised patients, OKZ treatment produced significantly greater reductions in DAS28(CRP) from baseline levels at Week 12, compared to PBO (p<0.001), at all the OKZ doses tested (60 mg OKZ p=0.0001, 120 and 240 mg OKZ p<0.0001). Additionally, ACR20 and ACR50 responses were numerically higher for OKZ than PBO (ACR20: PBO=17.1–29.9%, OKZ=32.5–60.7%; ACR50: PBO=1.3–4.9%, OKZ=11.5–33.2%). OKZ treatment, at several doses, demonstrated similar efficacy to TCZ across multiple endpoints. Most adverse events were mild or moderate and comparable between OKZ and TCZ treatment groups. Pharmacokinetic/pharmacodynamic modelling demonstrated a shallow dose/exposure response relationship in terms of percentage of patients with DAS28(CRP) <2.6.

Conclusions

OKZ produced significantly greater reductions in DAS28(CRP) from baseline at Week 12 compared with PBO. Reported AEs were consistent with the safety profile expected of this class of drug, with no new safety signals identified.

Trial register number:

NCT01242488.

Keywords: Rheumatoid Arthritis, Autoimmune Diseases, Disease Activity, DMARDs (biologic)

Introduction

Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease which can lead to destruction and physical dysfunction of joints resulting in a significant increase in morbidity and mortality.1 For patients who have an inadequate response to DMARDs, tumour necrosis factor (TNF) inhibitors are frequently added, usually in combination with methotrexate (MTX).2 Approximately 40–50% of patients receiving TNF inhibitors, however, also have an inadequate response to this treatment.3–5 Therapeutic approaches using alternative mechanisms of action are therefore an important unmet need for this patient population.

An alternate therapeutic target is the pro-inflammatory cytokine interleukin-6 (IL-6). IL-6 is an important mediator of inflammation and is involved in key immunologic processes underlying the pathology of RA, such as T-cell activation and B-cell proliferation, as well as osteoclast differentiation.6 The amount of IL-6 present in the synovial fluid of patients with RA has been shown to correlate with the severity of synovitis and joint destruction.7–9 An anti-IL-6 receptor (IL-6R) antibody, tocilizumab (TCZ), has been approved for the treatment of RA.10–17 TCZ is a humanised monoclonal antibody that binds to the IL-6 receptor.18

Olokizumab (OKZ, CDP6038), a humanised monoclonal antibody specific for the IL-6 cytokine, is currently in development for the treatment of RA. It targets the IL-6 cytokine rather than the receptor, and selectively blocks the final assembly of the signalling complex. In Phase I (healthy volunteers) and IIa (patients with RA on MTX) clinical trials, OKZ was well tolerated after intravenous and subcutaneous delivery with a median plasma half-life of approximately 31 days, 76% bioavailability and no apparent antidrug antibody-mediated clearance.19 OKZ also markedly reduced free IL-6 levels and suppressed C-reactive protein (CRP) up to 12 weeks after single-dose subcutaneous administration in patients with RA.20

The primary aims of this Phase IIb, dose-ranging study were to evaluate the efficacy and safety of OKZ in an active RA population who had previously failed TNF inhibitor therapy.

Materials and methods

Study design

This was a 12-week, Phase IIb, dose-ranging, double-blind, placebo (PBO) and active-controlled, multicenter, randomised study (NCT01242488), conducted between November 2010 and June 2012, to evaluate the efficacy and safety of subcutaneous OKZ in patients with moderately to severely active RA who had previously failed TNF inhibitor therapy. The study protocol was approved by the Institutional Review Board/Independent Ethics Committee as defined in local regulations and performed according to the Declaration of Helsinki. All patients provided written consent.

The primary objective of the study was to evaluate the efficacy of OKZ at different doses and administration frequencies compared with PBO. Secondary objectives were to evaluate the safety, pharmacokinetics (PK), pharmacodynamics (PD) and immunogenicity of repeated doses of OKZ, and to assess the dose-response and exposure-response relationship of OKZ with efficacy. An exploratory endpoint was to compare the efficacy and safety of OKZ with TCZ.

Of the 398 patients enrolled in the study, 221 were randomised to 1 of 9 treatment arms (figure 1). Randomisation was performed centrally using an interactive voice-response system. Patients received either PBO or OKZ (60, 120 or 240 mg) every 4 weeks (Q4W) or every 2 weeks (Q2W), or 8 mg/kg TCZ Q4W. Doses were selected in order to cover 35–75% of the maximal anticipated effect on DAS28(erythrocyte sedimentation rate, ESR) at 12 weeks, or 45–85% of the maximal anticipated effect at 24 weeks, based on PK/PD analysis of previous study data.19 20

Figure 1.

Figure 1

Patient disposition.

Randomisation was stratified according to the number of prior failed TNF inhibitors (1 vs 2 or more). Two safety follow-up visits were undertaken 6 and 12 weeks after the last study dose. To maintain blinding of the treatment, all patients received an intravenous infusion Q4W and two 1.2 mL subcutaneous injections Q2W. TCZ dose is the approved dose in Europe by the EMA,21 and the highest dose approved by the US Food and Drug Administration (FDA).18

Patients who completed the study were eligible to receive OKZ in an open-label extension study (NCT01296711).

Patients

This study population were individuals with active RA and an inadequate response to MTX, and at least one previous anti-TNF therapy. Patients were ≥18 years old, with adult-onset RA of at least 6 months duration (1987 American College of Rheumatology (ACR) classification criteria22) or a score of ≥6 by the ACR/European League Against Rheumatism (EULAR) Classification and Diagnostic Criteria for RA.23 Eligible patients had tender joint count ≥6 (TJC; assessment of 68 joints) and swollen joint count ≥6 (SJC; assessment of 66 joints) and CRP ≥1.2 times the upper limit of normal (ULN), or ESR >28 mm/h. Patients were required to be on a stable dose of MTX and continued current steroids and NSAIDs.

Major exclusion criteria included diagnoses of other inflammatory arthritis or a non-inflammatory type of arthritis that interfered with efficacy evaluations, functional capacity Steinbrocker Class IV,24 and prior exposure to IL-6 inhibitors. Patients were not permitted to use DMARDs other than MTX within 12 weeks prior to screening (unless undertaking appropriate washout). Patients with a known risk of severe or major infections, or elevated levels at screening of creatinine, alanine aminotransferase (ALT) or aspartate aminotransferase (AST), or reduced platelets, white blood cell count or neutrophil count were excluded.

Efficacy analyses

Efficacy outcomes were assessed in the Full Analysis Set (FAS), consisting of all randomised patients who received at least one dose of study medication and had at least one post-baseline efficacy measurement.

The primary efficacy endpoint was the change from baseline in DAS28(CRP) at Week 12. Secondary efficacy endpoints were ACR20, ACR50 and ACR70 at Week 12 for OKZ and PBO. Major exploratory analyses included: ACR20/50/70 response rates (at Weeks 1, 2, 4, 6, 8, 10 and 12), % of patients with DAS28(CRP) <2.6 at Weeks 2, 4, 8 and 12), TJC, SJC, Clinical Disease Activity Index (CDAI) and the Health Assessment Questionnaire-Disability Index (HAQ-DI).

Safety

Safety assessments included measurement of vital signs and laboratory parameters as well as recording of treatment-emergent adverse events (TEAEs) and serious TEAEs. Safety variables were analysed using the Safety Set (SS) (all patients who received at least 1 dose, or partial dose, of study medication).

Statistical analyses

Unless specifically stated, FAS was used for all analyses. DAS28(CRP) was analysed using a mixed effects model for repeated measures (MMRM). ACR20/50/70 responder rates were estimated using generalised estimating equation (GEE) methodology with Multiple Imputation (MI). Missing data for SJC/TJC/HAQ-DI/CDAI change from baseline were imputed using last observation carried forward (LOCF). Non-responder imputation was used for analysis of % patients with DAS28(CRP) <2.6 to control for missing values. The number of prior failed TNF inhibitors was included as a categorical covariate in all statistical analyses. Unless otherwise stated, all statistical tests were two-sided.

Power and sample size calculations were based upon simulations for change from baseline in DAS28 at all assessed postbaseline visits, using the MMRM method specified for the primary efficacy analysis.

Pharmacokinetic/pharmacodynamic analyses

Blood samples for determination of plasma OKZ, TCZ and anti-OKZ antibodies were collected at baseline and at each subsequent visit. Non-linear mixed modelling was employed for the analysis of the OKZ PK data. The final population PK model was used to derive individual concentration or exposure measures for use in the PK/PD analyses which involved describing the relationship between PK measures and multiple efficacy and safety endpoints via mixed effects methodology.

Results

Baseline characteristics and patient disposition

Figure 1 details the patient disposition; 89.6% of randomised patients completed the 12-week treatment phase. Patient demographics across the treatment groups were similar and representative of patients with RA with long-standing, active disease (table 1). Most patients were using MTX at baseline (95% of patients). The most common previous TNF inhibitors were etanercept (50.7%), adalimumab (45.2%) and infliximab (36.5%); certolizumab pegol and golimumab had each been previously used by 13.7% of patients. More than 40% of patients had failed to respond to at least two TNF inhibitors. Previous non-TNF-targeting biologics used included abatacept (16.0%) and rituximab (11.0%). At recruitment, 107 patients (48.9%) met the inclusion criteria for ESR (>28 mm/h) and CRP (≥1.2 ULN); 89 (40.6%) and 21 (9.6%) patients met only the criteria for ESR or CRP, respectively.

Table 1.

Baseline patient demographics and disease characteristics (full analysis set)

PBO
Q2W (N=22)
OKZ
60 mg
Q2W (N=20)
OKZ
120 mg
Q2W (N=22)
OKZ
240 mg
Q2W (N=23)
PBO
Q4W (N=22)
OKZ
60 mg
Q4W (N=22)
OKZ
120 mg Q4W (N=23)
OKZ
240 mg Q4W
(N=22)
TCZ
8 mg/kg
Q4W (N=43)
All patients (N=219)
Population demographic
 Age, mean years 59.36 55.50 53.09 55.48 58.18 52.64 53.52 54.55 56.58 55.53
 Female, % 86.4 80.0 86.4 91.3 77.3 90.9 87.0 77.3 86.0 84.9
Prior and concomitant medication
 Prior failed TNF-inhibitor, n (%)
  1 12 (54.5) 14 (70.0) 12 (54.5) 14 (60.9) 12 (54.5) 12 (54.5) 12 (52.2) 13 (59.1) 25 (58.1) 126 (57.5)
  ≥2 10 (45.5) 6 (30.0) 10 (45.5) 9 (39.1) 10 (45.5) 10 (45.5) 11 (47.8) 9 (40.9) 18 (41.9) 93 (42.5)
 Concomitant MTX, n (%) 20 (90.9) 19 (95.0) 20 (90.9) 22 (95.7) 21 (95.5) 21 (95.5) 22 (95.7) 21 (95.5) 42 (97.7) 208 (95.0)
Baseline disease characteristics
 Disease duration, median years 10.56 12.30 8.07 8.22 7.45 10.89 11.58 7.83 10.55 9.99
 CRP >15 mg/L, n (%) 5 (22.7) 4 (20.0) 6 (27.3) 8 (34.8) 7 (31.8) 7 (31.8) 7 (30.4) 6 (27.3) 16 (37.2) 66 (30.1)
 DAS28(CRP), mean 5.53 5.57 5.96 5.94 5.69 6.14 5.61 5.83 5.72 5.77
 DAS28(CRP) >5.1, n (%) 14 (63.6) 14 (70.0) 15 (68.2) 18 (78.3) 16 (72.7) 19 (86.4) 16 (69.6) 14 (63.6) 33 (76.7) 159 (72.6)
 TJC, median (min-max) 32.74 (9.3–56.7) 18.50 (9.0–68.0) 26.50 (8.0–62.0) 33.00 (6.0–51.0) 22.00 (8.0–58.0) 36.00 (9.0–68.0) 29.29 (7.0–57.0) 25.86 (11.0–59.8) 25.00 (4.0–66.0) 27.00 (4.0–68.0)
 SJC, median (min-max) 12.00 (6.0–30.0) 16.50 (6.0–50.0) 14.50 (6.0–58.0) 18.86 (7.0–41.6) 13.17 (4.0–44.7) 21.50 (6.0–58.0) 13.00 (5.2–36.7) 14.50 (6.0–38.9) 12.38 (6.0–32.0) 14.00 (4.0–58.0)
 CDAI, median (min-max) 36.83 (20.7–53.9) 36.28 (22.2–66.3) 42.90 (20.2–71.2) 45.20 (18.1–64.3) 36.25 (19.0–60.0) 46.60 (21.4–69.2) 39.92 (14.3–59.7) 40.50 (24.2–59.2) 35.65 (17.7–62.5) 38.90 (14.3–71.2)
 HAQ-DI, median (min-max) 1.56 (0.3–2.6) 1.63 (0.5–2.1) 1.44 (0.6–3.0) 1.75 (0.6–2.6) 1.38 (0.0–2.4) 1.81 (0.1–2.9) 1.50 (0.3–2.9) 1.69 (0.0–2.8) 1.63 (0.0–2.9) 1.63 (0.0–3.0)

CDAI, Clinical Disease Activity Index; CRP, C-reactive protein; DAS28, Disease Activity Score 28-joint count; HAQ-DI, HAQ (Health Assessment Questionnaire) Disability Index; MTX, methotrexate; OKZ, Olokizumab; PBO, placebo; SJC, swollen joint count; TCZ, Tocilizumab; TJC, tender joint count; TNF, tumour necrosis factor.

Clinical efficacy

Change from baseline in DAS28(CRP)

Across all dose groups, treatment with OKZ resulted in a greater improvement in DAS28(CRP) mean change from baseline at Week 12 compared with PBO (table 2), with the greatest improvement observed in the OKZ 240 mg Q2W group. Decreases in DAS28(CRP) from baseline were seen from Week 1 (figure 2A). For every treatment dose, DAS28(CRP) change from baseline was significantly different to the PBO group (for 60 mg OKZ p=0.0001, for 120 and 240 mg OKZ p<0.0001), as were the overall dose response trends across both dosing frequencies (p<0.0001) (figure 2B). Comparisons of dosing frequency (Q2W vs Q4W) and dose-by-dose frequency interactions (Q2W trend vs Q4W trend) were not significant (p=0.6927 and p=0.9912, respectively). The improvements from baseline in DAS28(CRP) observed in several OKZ treatment groups were comparable to those seen in the TCZ treatment group (table 2). No significant response differences were seen between patients who had previously failed treatment with 1, 2 or >2 TNF inhibitors.

Table 2.

Efficacy outcomes at week 12 (full analysis set) 

Efficacy endpoint Dosing
frequency
PBO
OKZ
60 mg
OKZ
120 mg
OKZ
240 mg
TCZ
8 mg/kg
ΔDAS28(CRP),* LS mean (SE) Q2W −0.78 (0.26) −1.16 (0.28) −1.88 (0.26) −2.01 (0.25)
Q4W −0.19 (0.26) −1.91 (0.28) −1.84 (0.26) −1.63 (0.25) −2.01 (0.19)
DAS28(CRP)≤3.2,%† Q2W 13.6 20.0 22.7 30.4
Q4W 4.5 18.2 30.4 27.3 30.2
DAS28(CRP)<2.6,%† Q2W 4.5 10.0 13.6 26.1
Q4W 0.0 13.6 21.7 9.1 20.9
ΔDAS28(ESR),* LS mean (SE) Q2W −0.65 (0.25) −1.53 (0.27) −2.05 (0.25) −1.80 (0.25)
Q4W −0.16 (0.25) −2.04 (0.26) −1.57 (0.26) −1.59 (0.25) −1.79 (0.18)
ACR20, estimated response % (95% CI)‡ Q2W 29.9 (15.3 to 50.2) 49.7 (31.0 to 68.5) 55.5 (36.9 to 72.7) 55.5 (37.1 to 72.4)
Q4W 17.1 (7.3 to 35.0) 60.7 (41.4 to 77.1) 58.4 (39.5 to 75.1) 32.5 (18.1 to 51.2) 68.3 (53.0 to 80.5)
ACR50, estimated response % (95% CI)‡ Q2W 4.9 (0.7 to 28.0) 19.1 (7.6 to 40.4) 24.9 (11.4 to 46.2) 31.9 (16.0 to 53.5)  –
Q4W 1.3 (0.1 to 14.4) 33.2 (16.8 to 55.0) 21.3 (9.0 to 42.8) 11.5 (4.2 to 27.7) 27.7 (15.4 to 44.8)
ACR20, observed response n (%)† Q2W 7 (33.3) 6 (35.3) 10 (50.0) 11 (52.4)
Q4W 1 (5.0) 12 (75.0) 11 (61.1) 7 (33.3) 27 (65.9)
ACR50, observed response n (%)† Q2W 1 (4.8) 3 (17.6) 5 (25.0) 5 (23.8)
Q4W 0 6 (37.5) 3 (16.7) 3 (14.3) 10 (24.4)
ΔCDAI,* Q2W −8.95 (−41.5, 13.8) −8.00 (−36.4, 19.0) −14.65 (−57.9, 14.3) −16.30 (−58.2, 8.9)
Median (min, max) Q4W −3.03 (−44.1, 23.8) −18.51 (−69.2, 48.0) −19.09 (−35.2, 8.8) −12.99 (−42.9, 4.0) −17.30 (−49.2, 15.1)
CDAI≤10.0, estimated response % (95% CI)§,¶ Q2W 13.6 (4.5 to 34.8) 9.9 (2.5 to 32.3) 22.7 (9.8 to 44.3) 30.3 (15.1 to 51.5)
Q4W 9.1 (2.3 to 29.9) 9.1 (2.3 to 29.9) 30.4 (15.2 to 51.5) 13.6 (4.4 to 34.7) 27.8 (16.5 to 42.9)
CDAI≤10.0, observed response n (%)¶ Q2W 3 (13.6) 2 (10.0) 5 (22.7) 7 (30.4)
Q4W 2 (9.1) 2 (9.1) 7 (30.4) 3 (13.6) 12 (27.9)
ΔHAQ-DI,* median (min, max) Q2W 0.00 (−1.0, 0.6) −0.25 (−1.0, 0.9) −0.25 (−0.9, 1.4) −0.38 (−1.6, 0.1)
Q4W 0.06 (−1.0, 2.1) −0.50 (−1.6, −0.1) −0.25 (−1.5, 0.4) 0.00 (−1.0, 0.5) −0.25 (−1.5, 0.3)
ΔTJC,* median (min, max) Q2W −10.00 (−46.0, 33.0) −8.00 (−34.0, 5.0) −10.00 (−55.0, 3.2) −10.30 (−48.0, 13.0)
Q4W −3.00 (−49.0, 18.3) −18.00 (−68.0, 7.7) −15.00 (−29.0, 12.0) −8.50 (−18.3, 7.0) −11.00 (−46.0, 8.0)
ΔSJC,* median (min, max) Q2W −3.00 (−18.0, 22.3) −7.00 (−26.0, 4.0) −7.00 (−55.0, 7.0) −10.00 (−41.6, 7.0)
Q4W −3.00 (−37.0, 22.0) −11.00 (−51.0, 19.0) −9.89 (−21.0, 15.0) −8.25 (−22.3, 22.0) −7.45 (−29.5, 11.0)

*change (Δ) from baseline, MMRM analysis.

†observed rate.

‡estimate from the GEE-MI model.

§estimate from the Logistic Regression (non-response imputation) model.

¶results of posthoc analysis.

ACR, American College of Rheumatology; CDAI, Clinical Disease Activity Index; CRP, C-reactive protein; DAS28, Disease Activity Score 28-joint count; ESR, erythrocyte sedimentation rate; GEE, generalised estimating equation; HAQ-DI, HAQ (Health Assessment Questionnaire) Disability Index; LDA, low disease activity; LS, least squares; MI, multiple imputation; MMRM, mixed effects model for repeated measures; OKZ, olokizumab; PBO, placebo; SJC, swollen joint count; TCZ, Tocilizumab; TJC, tender joint count.

Figure 2.

Figure 2

Analysis of efficacy endpoints. (A) DAS28(CRP) scorea; (B) DAS28(CRP) change from baseline at Week 12; (C) ACR20 response ratea and (D) ACR50 response ratea.

Posthoc analysis revealed that at low OKZ doses, a greater response was seen in patients with CRP ≥1.2 ULN compared to all other patients (for OKZ 60 mg Q4W patients mean changes from baseline at Week 12 were −2.47 and −0.98, respectively). This was not apparent at higher dose levels (−1.87 and −2.08 for OKZ 240 mg Q2W patients).

ACR20, ACR50 and ACR70 response rates

The ACR20 and ACR50 response rates were higher in OKZ-treated patients than those receiving PBO at Week 12 (table 2). This study was not powered to detect significant differences in ACR20/50/70 response rates. However, responses were numerically higher for ACR20 (p=0.0636) and ACR50 (p=0.0574) than PBO (table 2). Improvements in ACR20 and ACR50 were rapid, with increased responses over PBO observed from as early as Week 1 and Week 4, respectively, and were generally maintained or increased throughout the treatment period (figure 2C,D). These responses were similar for the TCZ treatment group. Seven patients in OKZ treatment groups and four patients on TCZ were observed ACR70 responders at Week 12.

Additional efficacy endpoints

Exploratory analysis of additional efficacy endpoints revealed improvements in OKZ-treated patients at Week 12 in physical function (as assessed by HAQ-DI) compared with the PBO groups, as well as greater reductions in TJC, SJC and CDAI (table 2). Additionally, a higher percentage of patients demonstrated DAS28(CRP) <2.6 or DAS28(CRP) ≤3.2 following treatment with OKZ than PBO. The percentage of patients demonstrating DAS28(CRP) <2.6 in the OKZ 240 mg Q2W group was more than fivefold higher than that in the PBO Q2W group (26.1% and 4.5%, respectively). Posthoc analysis showed that at Week 12, low disease activity (CDAI ≤10.0) was achieved by patients from all treatment groups, including PBO, with a higher proportion of patients demonstrating this in the OKZ 120 mg and 240 mg dose groups than the OKZ 60 mg and PBO groups (table 2). Five of 132 patients in OKZ treatment groups (from 5 different cohorts), and 5 of 43 patients on TCZ achieved CDAI remission (CDAI ≤2.8) at Week 12; compared with none of the 22 patients in PBO groups.

Pharmacokinetic/pharmacodynamic analyses

The OKZ plasma concentration-time data were adequately described by a two-compartment, first-order absorption, linear elimination model. The OKZ PK characteristics were consistent with those in healthy and mild-to-moderate patients with RA.19 20 The overall estimate of bioavailability across the Phase I, IIa and IIb studies was 63.3% (% relative standard error=4.9%).

PK/PD (DAS28(CRP)) data were adequately described by an indirect concentration-effect sigmoid Emax model, with inhibition of DAS28(CRP) production. Simulations performed with the resulting model, extrapolated to Week 24, highlighted the existence of a shallow dose/exposure response relationship (in terms of percentage of patients with DAS28(CRP)<2.6, see online supplementary figure S1). A successful description of the ACR20 data and its correlation with exposure, taking into account drop-out using a logistic model, was also possible. By contrast with DAS28(CRP), simulations exploring the dose-response surface for ACR20 revealed a steep response curve.

Immunogenicity

Analysis of plasma samples for anti-OKZ antibodies was conducted. Using a study-specific cut-off, based on blinded analysis of drug-naive baseline samples, 13 patients (9.8%) in OKZ-treated groups were anti-OKZ antibody positive. Importantly, four of these patients were pre-dose positive, and only one of them displayed a PK profile characteristic of drug-clearing immunogenicity. Furthermore, five patients in the PBO groups (11.3%) and two patients in the TCZ group (9.8%) were also anti-OKZ antibody positive. Non-specific interference by pre-existing immunoglobulins in patients’ plasma has been previously reported25 26 and was shown to be the case for some of these nominally positive samples with a posthoc analysis. Thus, the true incidence of specific anti-OKZ antibodies is likely to be less than nominally determined. Details of the immunogenicity investigations and the efficacy response of the 13 patients who were found nominally anti-OKZ antibody positive can be found in online supplementary material (table S1).

Safety (SS)

There were similar numbers of TEAEs reported in the OKZ and TCZ active dose groups, and the PBO group (range across OKZ treatment groups: 63.6–87.0%; PBO: 77.3–86.4%; TCZ: 86.0%) (table 3). The majority of TEAEs in all treatment groups were mild in intensity. Most frequently reported TEAEs (occurring in ≥10% of patients in any treatment group) consisted of diarrhoea, headache, injection site reactions (PBO: 18.2%; OKZ: 17.4–47.8%; TCZ: 20.9%), and infections including upper respiratory tract infections, urinary tract infections and nasopharyngitis (PBO: 31.8–50.0%; OKZ: 25.0–36.4%). There were no incidences of diverticulitis and no gastrointestinal (GI) perforations reported. All TEAEs are reported to Week 12, and thus represent short-term safety outcomes.

Table 3.

Treatment-emergent adverse events and serious treatment-emergent adverse events (safety set)

MedDRA (V.14.0)
system organ class
Preferred term
Dosing frequency PBO
n/N (%)
OKZ 60 mg
n/N (%)
OKZ 120 mg
n/N (%)
OKZ 240 mg
n/N (%)
TCZ 8 mg/kg
n/N (%)
Any TEAEs Q2W 19/22 (86.4) 14/20 (70.0) 14/22 (63.6) 19/23 (82.6)
Q4W 17/22 (77.3) 18/22 (81.8) 20/23 (87.0) 19/22 (86.4) 37/43 (86.0)
 Gastrointestinal disorders Q2W 7/22 (31.8) 3/20 (15.0) 3/22 (13.6) 5/23 (21.7)
Q4W 2/22 (9.1) 3/22 (13.6) 4/23 (17.4) 8/22 (36.4) 9/43 (20.9)
 General disorders and administration site reactions Q2W 4/22 (18.2) 5/20 (25.0) 5/22 (22.7) 11/23 (47.8)
Q4W 4/22 (18.2) 9/22 (40.9) 4/23 (17.4) 6/22 (27.3) 9/43 (20.9)
 Infections and infestations Q2W 7/22 (31.8) 5/20 (25.0) 6/22 (27.3) 7/23 (30.4)
Q4W 11/22 (50.0) 6/22 (27.3) 8/23 (34.8) 8/22 (36.4) 16/43 (37.2)
Serious TEAEs Q2W 2 (9.1) 3 (15.0) 0 0
Q4W 1 (4.5) 1 (4.5) 0 2 (9.1) 4 (9.3)
 Anaemia Q2W 0 0 0 0
Q4W 1/22 (4.5) 0 0 0 0
 Investigations Q2W 0 0 0 0
Q4W 0 1/22 (4.5) 0 0 1/43 (2.3)
  Liver function test abnormal Q2W 0 0 0 0
Q4W 0 1/22 (4.5) 0 0 0
  Blood triglycerides increased Q2W 0 0 0 0
Q4W 0 0 0 0 1/43 (2.3)
 Infections and infestations Q2W 0 0 0 0
Q4W 0 0 0 2/22 (9.1) 2/43 (4.7)
  Pneumonia Q2W 0 0 0 0
Q4W 0 0 0 1/22 (4.5) 1/43 (2.3)
 Neoplasms, benign malignant and unspecified Q2W 0 1/20 (5.0) 0 0
Q4W 0 0 0 0 0
  Basal cell carcinoma Q2W 0 1/20 (5.0) 0 0
Q4W 0 0 0 0 0
Deaths Q2W 0 0 0 0
Q4W 0 0 0 0 0

OKZ, olokizumab; PBO, placebo; TCZ, tocilizumab; TEAE, treatment emergent adverse event.

The incidence of serious TEAEs was similar between treatment groups, and no serious TEAE was reported by >1 patient (table 3). In the OKZ treatment groups, serious TEAEs reported were chest pain, pneumonia, perineal abscess, abnormal liver function test (LFT), back pain, basal cell carcinoma and mania. One serious pneumonia case was reported in the TCZ treatment arm (2.3% patients); other serious TEAEs in the TCZ group included increased blood triglycerides and limb abscess (2.3% patients, respectively). There were no deaths throughout the study.

Laboratory abnormalities included elevated levels of ALT, AST and gamma glutamyl transferase (GGT), as well as decreased neutrophil counts and increased blood cholesterol (table 4). In the OKZ treatment groups, 4.3–18.2% of patients had ALT levels >3× ULN and 4.3–9.1% had AST levels >3× ULN at least at one postbaseline measurement. No increases in either enzyme >3× ULN were seen in PBO or TCZ treated patients. Neutrophil and leukocyte counts were reduced from baseline levels in each of the active treatment arms (including TCZ) from as early as Week 1; the incidence of markedly abnormal neutrophil counts (defined as laboratory values graded 3 or 4 according to the National Cancer Institute Common Terminology Critera for Adverse Events (CTCAE)) was similar between OKZ and TCZ treatment groups (range for OKZ: 0–4.5%; TCZ: 4.7%). There were no incidences of markedly abnormal leukocyte counts or thrombocytopenia. For the majority of clinical chemistry parameters there were no significant differences in mean values between PBO, OKZ and TCZ treatment groups, and no clinically significant fluctuations in mean values over time. One subject in the OKZ 60 mg Q4W group was found to have elevations in ALT and AST, which was reported as a serious TEAE. There were four incidences of Grade 3 or 4 elevations in GGT values, and four reports of abnormally high Grade 3 total cholesterol values, across the OKZ and TCZ treated patients. All these cases had values that were elevated at baseline and/or screening, prior to treatment with the study drug. There was one recorded serious TEAE of increased blood triglycerides which occurred in the TCZ group.

Table 4.

Markedly abnormal laboratory values (laboratory values graded 3 or 4 according to CTCAE* V.4.0) (safety set)

MedDRA (V.14.0)
System organ class
preferred term
Dosing frequency PBO
n/N (%)
OKZ 60 mg
n/N (%)
OKZ 120 mg
n/N (%)
OKZ 240 mg
n/N (%)
TCZ 8 mg/kg
n/N (%)
Liver function tests
 Alanine aminotransferase increased Q2W 0 0 0 0
Q4W 0 1/22 (4.5) 0 0 0
 Aspartate aminotransferase increased Q2W 0 0 0 0
Q4W 0 1/22 (4.5) 0 0 0
 γ glutamyl transferase increased Q2W 0 0 0 0
Q4W 0 1/22 (4.5) 0 1/22 (4.5) 1/43 (2.3)
Haematology
 Neutrophil count decreased Q2W 0 0 0 0
Q4W 0 1/22 (4.5) 0 0 2/43 (4.7)
 Leukocyte count decreased Q2W 0 0 0 0
Q4W 0 0 0 0 0
Lipids
 Total cholesterol increased Q2W 1/22 (4.5) 0 0 1/23 (4.3)
Q4W 0 1/22 (4.5) 0 1/22 (4.5) 0
 Low density lipoprotein increased Q2W 0 0 0 0
Q4W 0 0 0 0 0
 High density lipoprotein increase Q2W 0 0 0 0
Q4W 0 0 0 0 0
 Triglycerides increased Q2W 0 0 0 0
Q4W 0 0 0 0 0

*National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE) V.4. Markedly abnormal values are those graded 3 or 4 and worse than baseline value.

OKZ, olokizumab; PBO, placebo; TCZ, tocilizumab.

Discussion

In this Phase II study of patients with RA who had previously failed TNF inhibitor therapy, treatment with OKZ resulted in significantly greater reductions in DAS28(CRP) from baseline levels at Week 12 compared with treatment with PBO. This improvement was demonstrated at all the OKZ doses tested with generally comparable efficacy and across both dosing frequencies, and was statistically significant for all dose group comparisons (60, 120 or 240 mg vs PBO). At low OKZ doses, a posthoc analysis showed greater responses in patients who met the criterion of high CRP at study entry compared to all other patients.

The primary efficacy endpoint was further supported by the secondary efficacy variables. Estimated ACR20 and ACR50 response rates at Week 12 were numerically higher in all OKZ treatment arms than PBO groups, although the study was not powered to show a statistical difference in the ACR response rates. Few patients in any treatment group were ACR70 responders. Comparisons of exploratory efficacy variables, including health outcomes endpoints generally suggested greater improvement in OKZ treatment groups compared with the PBO groups. Overall, exploratory comparison showed similar responses to subcutaneous OKZ treatment and intravenously administered TCZ across multiple efficacy endpoints and for several OKZ treatment groups.

Reported TEAEs in this study were consistent with the safety profile expected of this class of drug, with no new safety signals identified. Commonly reported TEAEs in OKZ treated patients included gastrointestinal disorders, infections and infestations (primarily upper and lower respiratory tract infections and urinary tract infections) and nervous system disorders, which is qualitatively similar to the safety profile observed for TCZ in this and other previously published trials, as well as other anti-IL6 s in development.11 27–31 These TEAEs occurred at similar frequencies in the PBO, OKZ and TCZ treated groups. There were no incidences of diverticulitis or gastrointestinal perforations reported during the study. In accordance with the role of IL-6 in immune regulation, inflammation and haematopoiesis, reported TEAEs included increases in AST, ALT and lipids, and decreases in neutrophil levels. As expected, small increases from baseline in median total cholesterol, LDL and triglycerides and decreases in neutrophils were observed in each of the active treatment arms, including the TCZ group, throughout the 12-week study. No patients fulfilled the Hy's law criteria for drug-induced liver injury. Most TEAEs were mild to moderate in nature, with no deaths. In the OKZ and TCZ treatment groups, there were no opportunistic infections, but two serious infections (one pneumonia and one abscess reported in patients treated with each study drug).

Injection site reactions were more commonly reported after injection with OKZ compared with PBO or TCZ which was administered intravenously. The highest incidence was reported in the OKZ 240 mg Q2W group, in accordance with these patients receiving the greatest number of active subcutaneous injections. No serious injection site reactions were reported.

The limitations of this study included the small number of patients in each treatment group and the resultant lack of statistical power for comparisons beyond the primary endpoint. This small sample size, along with the heterogeneity of the study population, resulted in high variability, quantified by the PBO groups. Although PBO patients were randomised to nominal ‘Q4W’ and ‘Q2W’ groups they received identical treatments at all visits and results in these groups (while demonstrating overall consistency with previous published RA clinical trials) were variable. Despite this, OKZ across all treatment groups demonstrated statistically significant improvements in the predefined primary efficacy variable. Graphical comparisons of different doses and dosing regimens did not reveal significant differences in responses; integration of study data and analysis using PK/PD methodology revealed dose-exposure-response relationships for DAS28(CRP) and ACR20 endpoints, albeit shallow; no significant impact of the number of previous failed treatments with TNF inhibitors could be observed, which may also be due to small sample sizes. This study used a primary endpoint of 12 weeks. Study duration is another potential study limitation given the long half-life of OKZ (31 days19) and the time required to plateau plasma concentration drug levels. Additionally, in this study, all patients had previously been treated with, and failed to respond to, at least one TNF inhibitor, and thus, results seen here may not be directly applicable to the wider RA population.

In addition to OKZ, several other antibodies targeting the IL-6 pathway are in development.29–33 Potential differentiating factors for these antibodies include targeted protein (IL-6 or IL6R), targeted step of the IL-6 signalling complex cascade, route of administration, level of humanisation, immunoglobulin type and/or antibody construct. However, these antibodies are currently in Phase II or III of clinical development. Thus, the impact of these factors on efficacy and/or safety has not yet been fully evaluated.

The data presented here show that in this Phase II trial, OKZ demonstrated improvements in multiple efficacy variables compared with PBO in patients with moderate-to-severe RA who had previously failed TNF inhibitor therapy with results comparable to TCZ. Additionally, the safety profile following treatment with OKZ at doses up to 240 mg Q2W was in line with expectations for this class of drug, with a TEAE and laboratory test profile consistent with the use of IL-6 targeted therapy in patients with moderate-to-severe RA. Taken together, the results of this Phase II study are encouraging and support further studies with OKZ in RA.

Supplementary Material

Web supplement

Acknowledgments

The authors thank the investigators and patients who were part of this study, and acknowledge ‘Matladi Ndlov, UCB Pharma, Brussels, Belgium, for publication management. Editorial services for this manuscript were provided by Costello Medical Consulting.

Footnotes

Contributors: All authors met the following criteria for authorship: Substantial contributions to the acquisition, analysis, and interpretation of data for the work; and contributed to drafting the work and revising it critically; and gave final approval of the version submitted; and agreed to be accountable for all aspects of the work.

Funding: This study was funded by UCB Pharma.

Competing interests: MCG reports grants and personal fees from UCB Pharma, outside the submitted work; RF reports grants and personal fees from Roche, grants and personal fees from Abbott, grants and personal fees from Amgen, grants and personal fees from UCB Pharma, grants and personal fees from Pfizer, grants and personal fees from BMS, grants and personal fees from Lilly, grants and personal fees from Sanofi-Aventis, grants and personal fees from Lexicon, grants and personal fees from Novartis, grants and personal fees from Astellas, grants and personal fees from AstraZeneca, grants and personal fees from Janssen, grants and personal fees from HGS, grants from BiogenIdec, grants from MSD, grants from Genentech Inc, outside the submitted work; DF reports grants and personal fees from UCB Pharma, outside the submitted work; NJ reports reports grants, personal fees and non-financial support from UCB Pharma, during the conduct of the study; grants from Roche/Genentech, grants from Novartis, grants from Sanofi, grants from Pfizer, grants from Glaxo Smith Kline, grants from Janssen, outside the submitted work; JC reports grants from Genentech and Takeda Pharmaceuticals NA, Inc, outside the submitted work; BD reports grants from ACR, grants from EULAR, grants from Health Technology Assessment, grants from Research for Patient Benefits (RFPB), grants from British Heart Foundation, grants from Napp, from Fight for Sight, personal fees from Roche, personal fees from Merck, personal fees from Sobi, personal fees from Mundipharma, outside the submitted work; JB is an employee of UCB Pharma and holds stock options for UCB Pharma; BD is an employee of UCB Pharma and holds stock options for UCB Pharma; WZ is an employee of UCB Pharma; CP reports grants and personal fees from Abbott, grants and personal fees from AZ/MedImmune, grants and personal fees from Pfizer, grants and personal fees from Roche/Genentech, grants and personal fees from UCB Pharma, outside the submitted work; PD has nothing to disclose; KK is an employee of UCB Pharma and holds stock options for UCB Pharma.

Ethics approval: UCB Pharma Institutional Review Board (IRB)/Independent Ethics Committee (IEC) as defined in local regulations.

Provenance and peer review: Not commissioned; externally peer reviewed.

References

  • 1.Jacobsson LT, Turesson C, Nilsson JAet al. Treatment with TNF blockers and mortality risk in patients with rheumatoid arthritis. Ann Rheum Dis 2007;66:670–5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Smolen JS, Landewe R, Breedveld FCet al. EULAR recommendations for the management of rheumatoid arthritis with synthetic and biological disease-modifying antirheumatic drugs. Ann Rheum Dis 2010;69:964–75 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Cohen SB, Cohen MD, Cush JJet al. Unresolved issues in identifying and overcoming inadequate response in rheumatoid arthritis: weighing the evidence. J Rheumatol Suppl 2008;81:4–30; quiz 1–4 [PubMed] [Google Scholar]
  • 4.Marchesoni A, Zaccara E, Gorla Ret al. TNF-alpha antagonist survival rate in a cohort of rheumatoid arthritis patients observed under conditions of standard clinical practice. Ann N Y Acad Sci 2009;1173:837–46 [DOI] [PubMed] [Google Scholar]
  • 5.Rubbert-Roth A, Finckh A. Treatment options in patients with rheumatoid arthritis failing initial TNF inhibitor therapy: a critical review. Arthritis Res Ther 2009;11(Suppl 1):S1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.McInnes IB, Schett G. Cytokines in the pathogenesis of rheumatoid arthritis. Nat Rev Immunol 2007;7:429–42 [DOI] [PubMed] [Google Scholar]
  • 7.Kokebie R, Aggarwal R, Lidder S, et al. The role of synovial fluid markers of catabolism and anabolism in osteoarthritis, rheumatoid arthritis and asymptomatic organ donors. Arthritis Res Ther 2011;13:R50. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Sack U, Kinne RW, Marx Tet al. Interleukin-6 in synovial fluid is closely associated with chronic synovitis in rheumatoid arthritis. Rheumatol Int 1993;13:45–51 [DOI] [PubMed] [Google Scholar]
  • 9.Srirangan S, Choy EH. The role of interleukin 6 in the pathophysiology of rheumatoid arthritis. Ther Adv Musculoskelet Dis 2010;2:247–56 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Dougados M, Kissel K, Sheeran Tet al. Adding tocilizumab or switching to tocilizumab monotherapy in methotrexate inadequate responders: 24-week symptomatic and structural results of a 2-year randomised controlled strategy trial in rheumatoid arthritis (ACT-RAY). Ann Rheum Dis 2013;72:43–50 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Emery P, Keystone E, Tony HPet al. IL-6 receptor inhibition with tocilizumab improves treatment outcomes in patients with rheumatoid arthritis refractory to anti-tumour necrosis factor biologicals: results from a 24-week multicentre randomised placebo-controlled trial. Ann Rheum Dis 2008;67:1516–23 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Genovese MC, McKay JD, Nasonov ELet al. Interleukin-6 receptor inhibition with tocilizumab reduces disease activity in rheumatoid arthritis with inadequate response to disease-modifying antirheumatic drugs: the tocilizumab in combination with traditional disease-modifying antirheumatic drug therapy study. Arthritis Rheum 2008;58:2968–80 [DOI] [PubMed] [Google Scholar]
  • 13.Hashimoto J, Garnero P, van der Heijde Det al. Humanized anti-interleukin-6-receptor antibody (tocilizumab) monotherapy is more effective in slowing radiographic progression in patients with rheumatoid arthritis at high baseline risk for structural damage evaluated with levels of biomarkers, radiography, and BMI: data from the SAMURAI study. Mod Rheumatol 2011;21:10–15 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Hushaw LL, Sawaqed R, Sweis Get al. Critical appraisal of tocilizumab in the treatment of moderate to severe rheumatoid arthritis. Ther Clin Risk Manag 2010;6:143–52 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Nakashima Y, Kondo M, Harada Het al. Clinical evaluation of tocilizumab for patients with active rheumatoid arthritis refractory to anti-TNF biologics: tocilizumab in combination with methotrexate. Mod Rheumatol 2010;20:343–52 [DOI] [PubMed] [Google Scholar]
  • 16.Nishimoto N, Hashimoto J, Miyasaka Net al. Study of active controlled monotherapy used for rheumatoid arthritis, an IL-6 inhibitor (SAMURAI): evidence of clinical and radiographic benefit from an x ray reader-blinded randomised controlled trial of tocilizumab. Ann Rheum Dis 2007;66:1162–7 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Nishimoto N, Miyasaka N, Yamamoto Ket al. Study of active controlled tocilizumab monotherapy for rheumatoid arthritis patients with an inadequate response to methotrexate (SATORI): significant reduction in disease activity and serum vascular endothelial growth factor by IL-6 receptor inhibition therapy. Mod Rheumatol 2009;19:12–19 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Genentech Inc. ACTEMRA (tocilizumab) Full Prescribing Information. Revised: 04/2013. http://www.actemra.com/ (accessed 10 Dec 2013).
  • 19.Hickling M, Golor G, Jullion A, et al. Safety and pharmacokinetics of CDP6038, an anti-IL-6 monoclonal antibody, administered by subcutaneous injection and intravenous infusion to healthy male volunteers: a phase 1 study. Ann Rheum Dis 2011;70(Suppl 3):471 [Google Scholar]
  • 20.Fleischmann R, Kivitz AJ, Wagner F, et al. A Pilot Study Investigating the Tolerability and Pharmacodynamic Effect of Single Intravenous/Subcutaneous Doses of Olokizumab, an Anti-Interleukin-6 Monoclonal Antibody, in Patients with Rheumatoid Arthritis. Ann Rheum Dis 2011;70(Suppl 3):471 [Google Scholar]
  • 21.Roche. RoACTEMRA (tocilizumab) Summary of Product Characteristics. http://www.ema.europa.eu/docs/en_GB/document_library/EPAR_-_Product_Information/human/000955/WC500054890.pdf (accessed 8 Aug 2013).
  • 22.Arnett FC, Edworthy SM, Bloch DAet al. The American Rheumatism Association 1987 revised criteria for the classification of rheumatoid arthritis. Arthritis Rheum 1988;31:315–24 [DOI] [PubMed] [Google Scholar]
  • 23.Aletaha D, Neogi T, Silman AJet al. 2010 Rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Arthritis Rheum 2010;62:2569–81 [DOI] [PubMed] [Google Scholar]
  • 24.Steinbrocker O, Traeger CH, Batterman RC. Therapeutic criteria in rheumatoid arthritis. JAMA 1949;140:659–62 [DOI] [PubMed] [Google Scholar]
  • 25.Araujo J, Zocher M, Wallace Ket al. Increased rheumatoid factor interference observed during immunogenicity assessment of an Fc-engineered therapeutic antibody. J Pharm Biomed Analysis 2011;55:1041–9 [DOI] [PubMed] [Google Scholar]
  • 26.Tatarewicz S, Miller JM, Swanson SJet al. Rheumatoid factor interference in immunogenicity assays for human monoclonal antibody therapeutics. J Immunol Methods 2010;357:10–16 [DOI] [PubMed] [Google Scholar]
  • 27.Maini RN, Taylor PC, Szechinski Jet al. Double-blind randomized controlled clinical trial of the interleukin-6 receptor antagonist, tocilizumab, in European patients with rheumatoid arthritis who had an incomplete response to methotrexate. Arthritis Rheum 2006;54:2817–29 [DOI] [PubMed] [Google Scholar]
  • 28.Gabay C, Emery P, van Vollenhoven Ret al. Tocilizumab monotherapy versus adalimumab monotherapy for treatment of rheumatoid arthritis (ADACTA): a randomised, double-blind, controlled phase 4 trial. Lancet 2013;381:1541–50 [DOI] [PubMed] [Google Scholar]
  • 29.Mease P, Strand V, Shalamberidze Let al. A phase II, double-blind, randomised, placebo-controlled study of BMS945429 (ALD518) in patients with rheumatoid arthritis with an inadequate response to methotrexate. Ann Rheum Dis 2012;71:1183–9 [DOI] [PubMed] [Google Scholar]
  • 30.Hsu B, Sheng S, Weinblatt ME, et al. Results from a 2-part, proof-of-concept, dose-ranging, randomized, double-blind, placebo-controlled, phase 2 study of sirukumab, a human anti-il-6 monoclonal antibody, in patients with active rheumatoid arthritis despite methotrexate therapy. Ann Rheum Dis 2012;71(Suppl3):61. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Genovese MC, Kivitz AJ, Simon Campos JAet al. Sarilumab for the Treatment of Moderate-to-Severe Rheumatoid Arthritis: Results of a Phase 2, Randomized, Double-Blind, Placebo-Controlled, International Study. ACR/ARHP Annual Scientific Meeting; Chicago 2011
  • 32.Finch DK, Sleeman MA, Moisan Jet al. Whole-molecule antibody engineering: generation of a high-affinity anti-IL-6 antibody with extended pharmacokinetics. J Mol Biol 2011;411:791–807 [DOI] [PubMed] [Google Scholar]
  • 33.De Bruyn S. Anti-IL-6 Receptor Nanobody (ALX-0061) Seamless “First-in-Human” Phase I/II Proof-of-Concept Study in Patients with Active Rheumatoid Arthritis on Stable Methotrexate Treatment: Single-dose results. Arthritis Rheum 2012;64:S561 [Google Scholar]

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