Literature DB >> 27624791

A multicentre randomised controlled trial to compare the pharmacokinetics, efficacy and safety of CT-P10 and innovator rituximab in patients with rheumatoid arthritis.

Dae Hyun Yoo1, Chang-Hee Suh2, Seung Cheol Shim3, Slawomir Jeka4, Francisco Fidencio Cons-Molina5, Pawel Hrycaj6, Piotr Wiland7, Eun Young Lee8, Francisco G Medina-Rodriguez9, Pavel Shesternya10, Sebastiao Radominski11, Marina Stanislav12, Volodymyr Kovalenko13, Dong Hyuk Sheen14, Leysan Myasoutova15, Mie Jin Lim16, Jung-Yoon Choe17, Sang Joon Lee18, Sung Young Lee18, Taek Sang Kwon18, Won Park16.   

Abstract

OBJECTIVE: To demonstrate pharmacokinetic equivalence of CT-P10 and innovator rituximab (RTX) in patients with rheumatoid arthritis (RA) with inadequate responses or intolerances to antitumour necrosis factor agents.
METHODS: In this randomised phase I trial, patients with active RA were randomly assigned (2:1) to receive 1000 mg CT-P10 or RTX at weeks 0 and 2 (alongside continued methotrexate therapy). Primary endpoints were area under the serum concentration-time curve from time zero to last quantifiable concentration (AUC0-last) and maximum serum concentration after second infusion (Cmax). Additional pharmacokinetic parameters, efficacy, pharmacodynamics, immunogenicity and safety were also assessed. Data are reported up to week 24.
RESULTS: 103 patients were assigned to CT-P10 and 51 to RTX. The 90% CIs for the ratio of geometric means (CT-P10/RTX) for both primary endpoints were within the bioequivalence range of 80%-125% (AUC0-last: 97.7% (90% CI 89.2% to 107.0%); Cmax: 97.6% (90% CI 92.0% to 103.5%)). Pharmacodynamics and efficacy were comparable between groups. Antidrug antibodies were detected in 17.6% of patients in each group at week 24. CT-P10 and RTX displayed similar safety profiles.
CONCLUSIONS: CT-P10 and RTX demonstrated equivalent pharmacokinetics and comparable efficacy, pharmacodynamics, immunogenicity and safety. TRIAL REGISTRATION NUMBER: NCT01534884. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

Entities:  

Keywords:  B cells; DMARDs (biologic); Pharmacokinetics; Rheumatoid Arthritis; Treatment

Mesh:

Substances:

Year:  2016        PMID: 27624791      PMCID: PMC5446025          DOI: 10.1136/annrheumdis-2016-209540

Source DB:  PubMed          Journal:  Ann Rheum Dis        ISSN: 0003-4967            Impact factor:   19.103


Introduction

Rituximab is an anti-CD20 monoclonal antibody that exerts its effects via depletion of CD20+ B-cells.1 Following clinical trials,2 3 innovator rituximab (RTX) was approved for use in combination with methotrexate (MTX) in patients with rheumatoid arthritis (RA) with an inadequate response or intolerance to antitumour necrosis factor (TNF) agents. CT-P10 is a candidate biosimilar of RTX. CT-P10 and RTX share an identical primary structure, as well as highly similar higher-order structures, post-translational modifications and in vitro biological activities (see online supplementary material A for comparative biological data). A key step in biosimilar development is to demonstrate pharmacokinetic (PK) equivalence to the innovator biologic (or ‘reference product’).4 5 We report the results of a phase I trial that assessed the PK equivalence—and additionally compared the efficacy, pharmacodynamics (PD), immunogenicity and safety—of CT-P10 and RTX.

Patients and methods

Patients

Patients were aged 18–75 years, had active RA despite MTX treatment, and had inadequately responded or been intolerant to previous treatment with anti-TNF agents (see online supplementary material B and C for details of study methods).

Study design and treatment

This multinational, randomised, parallel-group, double-blind phase I trial was performed between March 2012 and May 2013 in 55 centres in eight countries in Europe, Asia and Latin America (ClinicalTrials.gov identifier NCT01534884). On day 0, patients were randomly assigned 2:1 to receive intravenous infusions of 1000 mg CT-P10 (CELLTRION, Incheon, Korea) or 1000 mg RTX (Roche, Welwyn Garden City, UK) at day 0 (week 0) and week 2. The main objective was to demonstrate PK equivalence between CT-P10 and RTX as assessed using the primary endpoints, area under the serum concentration–time curve from time zero to last quantifiable concentration (AUC0–last) and maximum serum concentration after second infusion (Cmax).

Statistical analyses

The primary statistical analysis was a comparison of AUC0–last and Cmax between CT-P10 and RTX groups, stratifying for region and prior anti-TNF agent status at baseline. The PK of the two drugs were to be considered equivalent if 90% CIs for the ratio of geometric means (CT-P10/RTX) of both primary endpoints fell within the bioequivalence range (80%–125%).

Results

Overall, 154 patients were enrolled and randomised to CT-P10 (N=103) or RTX (N=51) (see online supplementary material D). Demographics and baseline scores for disease activity assessments were similar between groups (table 1). Systemic corticosteroid use was also similar in the CT-P10 and RTX groups (mean daily dose (prednisolone equivalent): 6.30 and 6.69 mg, respectively, at baseline; 6.24 and 6.72 mg at week 24).
Table 1

Demographics and baseline disease characteristics, including baseline scores for disease activity assessments (safety population)*

CT-P10N=102RTXN=51
Age (years)49.8±12.651.3±10.9
Sex, no. (%) of patients
 Female88 (86.3)46 (90.2)
 Male14 (13.7)5 (9.8)
Ethnicity, no. (%) of patients
 Caucasian69 (67.6)35 (68.6)
 Asian15 (14.7)9 (17.6)
 Other18 (17.6)7 (13.7)
Height (cm)161.9±8.1162.1±8.7
Weight (kg)71.4±17.772.4±16.0
Body mass index (kg/m2)27.2±6.027.5±5.5
Disease duration (years)11.0±7.810.3±9.1
C reactive protein (mg/dL)1.8±1.72.1±3.0
Erythrocyte sedimentation rate (mm/hour)49.5±24.550.1±26.7
RF positive, no. (%) of patients82 (80.4)40 (78.4)
Anti-CCP positive, no. (%) of patients86 (84.3)43 (84.3)
Swollen joint count (66 joints assessed)16.5±8.214.5±7.0
Tender joint count (68 joints assessed)27.4±14.827.1±14.2
Disease Activity Score in 28 joints
 C reactive protein6.0±0.96.0±0.9
 Erythrocyte sedimentation rate6.8±0.96.7±0.9
Health Assessment Questionnaire Disability Index score1.7±0.71.7±0.7
Prior anti-TNF agents, no. (%) of patients
 188 (86.3)42 (82.4)
 214 (13.7)9 (17.6)
Prior anti-TNF agent status, no. (%) of patients
 Failure93 (91.2)47 (92.2)
 Intolerance9 (8.8)4 (7.8)
Duration of prior TNF-antagonist use (months)18.9±20.323.7±26.7
Prior TNF antagonists used, no. (%) of patients†
 Adalimumab37 (36.3)18 (35.3)
 Certolizumab3 (2.9)2 (3.9)
 Etanercept30 (29.4)19 (37.3)
 Golimumab12 (11.8)3 (5.9)
 Infliximab32 (31.4)19 (37.3)
 Investigational drug‡3 (2.9)1 (2.0)
Weekly dose of MTX at baseline (mg)15.4±4.815.7±4.1

*Except where indicated otherwise, values are mean±SD.

†Some patients had previously received more than one anti-TNF agent.

‡Refers to any anti-TNF agent given in a prior study.

CCP, cyclic citrullinated peptide; MTX, methotrexate; RF, rheumatoid factor; RTX, rituximab; TNF, tumour necrosis factor.

Demographics and baseline disease characteristics, including baseline scores for disease activity assessments (safety population)* *Except where indicated otherwise, values are mean±SD. †Some patients had previously received more than one anti-TNF agent. ‡Refers to any anti-TNF agent given in a prior study. CCP, cyclic citrullinated peptide; MTX, methotrexate; RF, rheumatoid factor; RTX, rituximab; TNF, tumour necrosis factor.

Pharmacokinetics

The PK of CT-P10 and RTX were equivalent since 90% CIs for the ratio of geometric means (CT-P10/RTX) for both AUC0–last and Cmax were within the bioequivalence range (table 2; see online supplementary material E). All secondary PK endpoints were also highly similar between groups (table 2). Geometric means of AUC0–last and Cmax were higher in patients negative for antidrug antibodies (ADA) than in those with at least one post-treatment ADA-positive result. Both endpoints, however, were equivalent across treatment groups in each ADA subset (see online supplementary material F).
Table 2

PK endpoints (PK population)

ParameterCT-P10(N=96)RTX(N=45)
Primary endpoints*
 AUC0–last (day×µg/mL)7838.68021.9
  Ratio of geometric means (%)90% CI of ratio (%)97.789.2 to 107.0
 Cmax (µg/mL)465.9477.5
  Ratio of geometric means (%)90% CI of ratio (%)97.692.0 to 103.5
Secondary endpoints†
 Cmax, 1 (µg/mL)391.2±127.2396.2±87.3
 Ctrough (µg/mL)85.1±75.580.3±23.6
 Vd (L)5.3±1.45.2±1.3
 CL (L/day)0.3±0.10.3±0.1
 T1/2 (day)14.9±3.714.5±3.1
 Tmax (hour), median (minimum, maximum)3.9 (2.1, 24.0‡)3.8 (2.3, 5.3)

*Values for primary endpoints are the geometric mean.

†Values for secondary endpoints are mean±SD except where indicated otherwise.

‡Only one patient in the CT-P10 group reported an extremely high Tmax (on day 1 of week 0 (ie, at 24 hours)).

AUC0–last, area under the serum concentration–time curve from time zero to last quantifiable concentration; CL, total body clearance over both infusions; Cmax, maximum serum concentration (after second infusion); Cmax, 1, maximum serum concentration after first infusion; Ctrough, trough serum concentration before second infusion; PK, pharmacokinetic; T1/2, terminal elimination half-life after second infusion; Tmax, time to Cmax after both first and second infusions; RTX, rituximab; Vd, volume of distribution.

PK endpoints (PK population) *Values for primary endpoints are the geometric mean. †Values for secondary endpoints are mean±SD except where indicated otherwise. ‡Only one patient in the CT-P10 group reported an extremely high Tmax (on day 1 of week 0 (ie, at 24 hours)). AUC0–last, area under the serum concentration–time curve from time zero to last quantifiable concentration; CL, total body clearance over both infusions; Cmax, maximum serum concentration (after second infusion); Cmax, 1, maximum serum concentration after first infusion; Ctrough, trough serum concentration before second infusion; PK, pharmacokinetic; T1/2, terminal elimination half-life after second infusion; Tmax, time to Cmax after both first and second infusions; RTX, rituximab; Vd, volume of distribution. To rule out effects of intrapatient variability on PK, individual patient log values of the two primary endpoints were plotted against each other. Positive high correlation between log(AUC0–last) and log(Cmax) was observed in both treatment groups. Interpretation of the same analysis by ADA subset was limited by the small number of patients; however, similar correlation trends were also observed (see online supplementary material G).

Efficacy

Efficacy was similar between treatments groups, with improvements from baseline observed in all endpoints. American College of Rheumatology (ACR) response rates were highly similar between groups (figure 1A). Mean changes from baseline at week 24 in all components of the ACR response were also highly similar between CT-P10 and RTX (see online supplementary material H), as was median (25th percentile, 75th percentile) time-to-onset of ACR20 response (58.0 (57.0 to 116.0) days and 60.0 (57.0 to 169.0) days for CT-P10 and RTX, respectively). The proportion of patients achieving good or moderate European League Against Rheumatism (EULAR) responses, and decreases in mean scores from baseline in Disease Activity Score in 28 joints (DAS28), Clinical Disease Activity Index and Simplified Disease Activity Index, were comparable between the two groups (figure 1B–D). At week 24, mean changes from baseline in DAS28 were not significantly different between the CT-P10 and RTX groups (DAS28-C reactive protein (CRP): −1.946 and −2.047, respectively (p=0.66; 95% CI for the difference in change from baseline: −0.36 to 0.43); DAS28-erythrocyte sedimentation rate, −2.065 and −2.147 (p=0.73; 95% CI −0.39 to 0.56)). Improvements in the 36-item Short Form Health Survey (SF-36) and physical component and mental component summary scores were of similar magnitude in the two treatment groups.
Figure 1

(A) Proportion of patients with an ACR20, ACR50 and ACR70 response. (B) Proportion of patients achieving a good or moderate EULAR response. (C) Mean DAS28 over time. (D) Mean CDAI and SDAI over time. Data are shown for the efficacy population (CT-P10, N=100; RTX, N=48). ACR, American College of Rheumatology; ACR20, 20% response according to the ACR criteria for improvement; ACR50, 50% response according to the ACR criteria for improvement; ACR70, 70% response according to the ACR criteria for improvement; CDAI, Clinical Disease Activity Index; CRP, C reactive protein; DAS28, Disease Activity Score in 28 joints; ESR, erythrocyte sedimentation rate; EULAR, European League Against Rheumatism; RTX, rituximab; SDAI, Simplified Disease Activity Index.

(A) Proportion of patients with an ACR20, ACR50 and ACR70 response. (B) Proportion of patients achieving a good or moderate EULAR response. (C) Mean DAS28 over time. (D) Mean CDAI and SDAI over time. Data are shown for the efficacy population (CT-P10, N=100; RTX, N=48). ACR, American College of Rheumatology; ACR20, 20% response according to the ACR criteria for improvement; ACR50, 50% response according to the ACR criteria for improvement; ACR70, 70% response according to the ACR criteria for improvement; CDAI, Clinical Disease Activity Index; CRP, C reactive protein; DAS28, Disease Activity Score in 28 joints; ESR, erythrocyte sedimentation rate; EULAR, European League Against Rheumatism; RTX, rituximab; SDAI, Simplified Disease Activity Index. Continued At week 24, ACR20 response rates in the CT-P10 and RTX groups, respectively, were 61.1% and 62.5% in patients with ADAs and 67.5% and 75.0% in those without ADAs. There was no statistically significant difference in ACR20 response rate between ADA subsets in each treatment group. Similarly, there were no significant differences in good or moderate EULAR response rates between ADA subsets in either treatment group.

PD and immunogenicity

Rapid and complete depletion of CD19+ peripheral B-cells was observed after infusion of CT-P10 or RTX (see online supplementary material I). No significant reductions in immunoglobulin levels were observed (see online supplementary material J). ADAs were detected in 18 (17.6%) and 9 (17.6%) patients in the CT-P10 and RTX groups, respectively, at week 24; neutralising antibodies were detected at week 24 in 2 (2.0%) and 1 (2.0%) patient, respectively.

Safety

Adverse events occurred in 52 (51.0%) and 38 (74.5%) patients in the CT-P10 and RTX groups, respectively, and serious adverse events in 5 (4.9%) and 3 (5.9%). Infusion-related reactions occurred in 17 (16.7%) patients in the CT-P10 group and 10 (19.6%) in the RTX group. These reactions occurred after the first and second infusions in 15 (14.7%) and 4 (4.0%) patients, respectively, in the CT-P10 group and in 10 (19.6%) and no patients in the RTX group. Most infusion-related reactions were grade 1 or 2 in severity; one was grade 3 (headache in the CT-P10 group; resolved without treatment). Infections occurred in 24 (23.5%) and 13 (25.5%) patients in the CT-P10 and RTX groups, respectively. There were no life-threatening (grade 4) adverse events or deaths. In each treatment group, there were no statistically significant differences in the incidence of serious adverse events, infusion-related reactions or infections between patients with and without ADAs at week 24 (p>0.05 for all comparisons). Online supplementary material K reports additional safety data.

Discussion

The primary aim of this study was to demonstrate PK bioequivalence between CT-P10 and RTX in patients with RA. Unlike most phase I trials, the study also assessed efficacy. Another unusual feature was the 2:1 randomisation scheme. Original sample size calculations for the primary endpoint showed 50 patients were needed in each group considering a 20% drop-out rate. However, to allow further assessment of CT-P10 safety, we recruited another 50 patients to the CT-P10 group; this also led to an increase in study power. The primary endpoints (AUC0–last and Cmax) were equivalent between CT-P10 and RTX as the 90% CIs for the ratios of their geometric mean values were within the predefined equivalence margins. These margins (80%–125%) were considered appropriate, and tighter margins not feasible, due to the broad therapeutic window of RTX and high interpatient variability in AUC previously observed with RTX.6–8 In both groups, mean AUC0–last and Cmax were similar to previous reports for RTX in patients with RA (AUC0–last (μg hour/mL): 200 238 and 203 783 for CT-P10 and RTX, respectively, vs 190 320–242 000;6 7 Cmax (μg/mL): 466 and 478, respectively, vs 355–453).7 8 Secondary PK outcomes were also highly similar between CT-P10 and RTX. Highly similar efficacy data were observed between the two treatments groups. ACR/EULAR responses and DAS28 scores in both groups were similar to those observed with RTX in the REFLEX and DANCER trials.2 3 Decreases in CRP levels (mg/dL) at week 24 were slightly lower in this study than in REFLEX (−2.1 for RTX in REFLEX vs −0.8 and −1.1 for CT-P10 and RTX, respectively, here). This is likely a reflection of the higher baseline CRP level in REFLEX (3.7 vs 1.8 and 2.1, respectively).2 In the current study, no significant effects of ADAs on efficacy were observed although numerical reductions in response rates (of around the same magnitude) were noted in both treatment groups. B-cell kinetic observations were as expected while the proportion of ADA-positive patients (17.6% in each group at week 24) was higher than observed in previous RTX studies (12.7%).8 This may have been because the electrochemiluminescent immunoassay used is more sensitive than the ELISA employed in most RTX trials.9 False ADA-positive results were observed in some patients at baseline, probably due to assay interference by CD20+ B-cell membrane fragments.10 Safety findings for CT-P10 and RTX were comparable. The incidence of infusion-related reactions declined with subsequent infusions in both groups. That no such reactions were reported after the second infusion in the RTX group, compared with a rate of around 9% in other RTX trials,11 was likely a random finding. Presence of ADAs did not affect the safety of either drug. In this study, CT-P10 and RTX demonstrated equivalent PK and comparable efficacy, PD, safety and immunogenicity up to week 24 in patients with RA. The results provide a clear rationale for future studies of CT-P10.
  9 in total

Review 1.  Comparison of immunogenicity test methods used in clinical studies of infliximab and its biosimilar (CT-P13).

Authors:  Ji Soo Kim; Sung Hwan Kim; ByoungOh Kwon; SeungSuh Hong
Journal:  Expert Rev Clin Immunol       Date:  2015       Impact factor: 4.473

2.  Rituximab for rheumatoid arthritis refractory to anti-tumor necrosis factor therapy: Results of a multicenter, randomized, double-blind, placebo-controlled, phase III trial evaluating primary efficacy and safety at twenty-four weeks.

Authors:  Stanley B Cohen; Paul Emery; Maria W Greenwald; Maxime Dougados; Richard A Furie; Mark C Genovese; Edward C Keystone; James E Loveless; Gerd-Rüdiger Burmester; Matthew W Cravets; Eva W Hessey; Timothy Shaw; Mark C Totoritis
Journal:  Arthritis Rheum       Date:  2006-09

3.  ECCO position challenged by European drug regulators.

Authors:  Pekka Kurki; Marie-Christine Bielsky
Journal:  J Crohns Colitis       Date:  2014-02-14       Impact factor: 9.071

4.  The efficacy and safety of rituximab in patients with active rheumatoid arthritis despite methotrexate treatment: results of a phase IIB randomized, double-blind, placebo-controlled, dose-ranging trial.

Authors:  Paul Emery; Roy Fleischmann; Anna Filipowicz-Sosnowska; Joy Schechtman; Leszek Szczepanski; Arthur Kavanaugh; Artur J Racewicz; Ronald F van Vollenhoven; Nicole F Li; Sunil Agarwal; Eva W Hessey; Timothy M Shaw
Journal:  Arthritis Rheum       Date:  2006-05

5.  Population pharmacokinetics of rituximab (anti-CD20 monoclonal antibody) in rheumatoid arthritis patients during a phase II clinical trial.

Authors:  Chee M Ng; Rene Bruno; Dan Combs; Brian Davies
Journal:  J Clin Pharmacol       Date:  2005-07       Impact factor: 3.126

6.  Longterm safety of patients receiving rituximab in rheumatoid arthritis clinical trials.

Authors:  Ronald F van Vollenhoven; Paul Emery; Clifton O Bingham; Edward C Keystone; Roy Fleischmann; Daniel E Furst; Katherine Macey; Marianne Sweetser; Ariella Kelman; Ravi Rao
Journal:  J Rheumatol       Date:  2010-01-28       Impact factor: 4.666

7.  Rituximab pharmacokinetics in patients with rheumatoid arthritis: B-cell levels do not correlate with clinical response.

Authors:  Ferdinand Breedveld; Sunil Agarwal; Ming Yin; Song Ren; Nicole F Li; Tim M Shaw; Brian E Davies
Journal:  J Clin Pharmacol       Date:  2007-09       Impact factor: 3.126

8.  False-positive immunogenicity responses are caused by CD20+ B cell membrane fragments in an anti-ofatumumab antibody bridging assay.

Authors:  Keguan Chen; Jerry G Page; Ann M Schwartz; Thomas N Lee; Stephen L DeWall; Daniel J Sikkema; Catherine Wang
Journal:  J Immunol Methods       Date:  2013-04-29       Impact factor: 2.303

Review 9.  B cells in rheumatoid arthritis: from pathogenic players to disease biomarkers.

Authors:  Serena Bugatti; Barbara Vitolo; Roberto Caporali; Carlomaurizio Montecucco; Antonio Manzo
Journal:  Biomed Res Int       Date:  2014-04-29       Impact factor: 3.411

  9 in total
  29 in total

1.  Improving the power to establish clinical similarity in a Phase 3 efficacy trial by incorporating prior evidence of analytical and pharmacokinetic similarity.

Authors:  Donglin Zeng; Jean Pan; Kuolung Hu; Eric Chi; D Y Lin
Journal:  J Biopharm Stat       Date:  2017-11-27       Impact factor: 1.051

2.  Rituximab biosimilar in rheumatoid arthritis: an enhanced-evidence assessment to evaluate equivalence with the originator based on network meta-analysis.

Authors:  Marco Chiumente; Andrea Messori
Journal:  Ther Adv Musculoskelet Dis       Date:  2017-08-23       Impact factor: 5.346

Review 3.  Are Biosimilars the Future of Oncology and Haematology?

Authors:  Pier Luigi Zinzani; Martin Dreyling; William Gradishar; Marc Andre; Francisco J Esteva; Suliman Boulos; Eva González Barca; Giuseppe Curigliano
Journal:  Drugs       Date:  2019-10       Impact factor: 9.546

4.  Bayesian design of biosimilars clinical programs involving multiple therapeutic indications.

Authors:  Matthew A Psioda; Kuolung Hu; Yang Zhang; Jean Pan; Joseph G Ibrahim
Journal:  Biometrics       Date:  2019-11-11       Impact factor: 2.571

5.  The Rituximab Biosimilar CT-P10 in Rheumatology and Cancer: A Budget Impact Analysis in 28 European Countries.

Authors:  László Gulácsi; Valentin Brodszky; Petra Baji; Fanni Rencz; Márta Péntek
Journal:  Adv Ther       Date:  2017-04-10       Impact factor: 3.845

6.  Budget Impact Analysis of Switching to Rituximab's Biosimilar in Rheumatology and Cancer in 13 Countries Within the Middle East and North Africa.

Authors:  Ammar Almaaytah
Journal:  Clinicoecon Outcomes Res       Date:  2020-09-15

7.  Switching from Biologic to Biosimilar Products: Insight from an Integrated Health Care System.

Authors:  Bharati Bhardwaja; Shilpa Klocke; Ekim Ekinci; Adam Jackson; Scott Kono; Kari L Olson
Journal:  BioDrugs       Date:  2021-11-24       Impact factor: 5.807

8.  [Revised version of the statement by the DGRh on biosimilars-update 2017].

Authors:  J Braun; H M Lorenz; U Müller-Ladner; M Schneider; H Schulze-Koops; Ch Specker; A Strangfeld; U Wagner; T Dörner
Journal:  Z Rheumatol       Date:  2018-02       Impact factor: 1.372

Review 9.  A Developer's Perspective on Clinical Evidence and Benefits for Rituximab Biosimilar Uptake, with a Focus on CT-P10.

Authors:  Dasom Choi; Soohyun Lee; Seungmin Kim; Sangwook Yoon
Journal:  Clin Drug Investig       Date:  2022-03-24       Impact factor: 2.859

10.  Phase 1 studies comparing safety, tolerability, pharmacokinetics and pharmacodynamics of HLX01 (a rituximab biosimilar) to reference rituximab in Chinese patients with CD20-positive B-cell lymphoma.

Authors:  Yuankai Shi; Qingyuan Zhang; Xiaohong Han; Yan Qin; Xiaoyan Ke; Hang Su; Li Liu; Jinxiang Fu; Jie Jin; Jifeng Feng; Xiaonan Hong; Xiaohong Zhang; Depei Wu; Bin Jiang; Xiaodong Dong
Journal:  Chin J Cancer Res       Date:  2021-06-30       Impact factor: 5.087

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