Correspondence: Howard Lee, Department of Clinical Pharmacology and Therapeutics, College of Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, Korea, Tel +82 2 3668 7602, Fax +82 2 742 9252, Email rk.ca.uns@eeldrawoh
Copyright © 2016 Suh et al. This work is published and licensed by Dove Medical Press LimitedThe full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
Reference | Year | Biologicals | Therapeutic area | Target of action | Type of action | Antibody type | MRSD determination method | Preclinical model | Safety factor * |
---|---|---|---|---|---|---|---|---|---|
Drobyski et al1 | 1991 | MSL-109 (sevirumab) | Transplantation (related infection) | CMV | Antagonist | Fully human | NOAEL-based | Non-human primate | 3.2 |
Klein et al2 | 1991 | B-E8 | Oncology (multiple myeloma) | IL6 | Antagonist | Murine | PAD-based | In vitro | NR |
Maloney et al3 | 1994 | IDEC-C2B8 (rituximab) | Oncology (non-Hodgkin lymphoma) | CD20 | Antagonist | Chimeric | NR | Non-rodent | NR |
Handgretinger et al4 | 1995 | ch14.18 | Oncology (metastatic melanoma) | GD2 | Agonist | Chimeric | NR | NR | NR |
Brooks et al5 | 1995 | 42/6 Antibody | Oncology (advanced cancer) | Transferrin receptor | Antagonist | Murine | NR | Rodent | NR |
Everitt et al6 | 1996 | RSHZ19 | Infection (respiratory syncytial virus) | F protein | Antagonist | Humanized | NR | NR | NR |
Vincenti et al7 | 1997 | Anti-tac (daclizumab) | Transplantation (graft vs host disease) | IL2R-alpha | Antagonist | Humanized | NR | NR | NR |
Zaanen et al8 | 1998 | CNTO-328 (siltuximab) | Oncology (multiple myeloma) | IL6 | Antagonist | Chimeric | NR | NR | NR |
Bowen et al9 | 1998 | Hu23F2G (rovelizumab) | Immunology (multiple sclerosis) | CD11/CD18 | Antagonist | Humanized | NR | NR | NR |
Harder et al10 | 1999 | YM337 | Coagulative vascular disorder | Glycoprotein IIb/IIIa | Antagonist | Humanized | Model-based | Non-human primate | 6.5 |
Gottlieb et al11 | 2000 | hu1124 (efalizumab) | Immunology (psoriasis) | CD11a | Antagonist | Humanized | NR | NR | NR |
Crombet et al12 | 2001 | ior egf/r3 | Oncology (brain tumor) | EGFR | Antagonist | Murine | Model-based | NR | NR |
Gordon et al13 | 2001 | rhuMAb (bevacizumab) | Oncology (advanced cancer) | VEGF | Antagonist | Humanized | NR | NR | NR |
Verbon et al14 | 2001 | IC14 | Infection (sepsis) | CD14 | Antagonist | Chimeric | NR | Non-rodent | NR |
Chow et al15 | 2002 | SB 249417 | Coagulative vascular disorder | Factor IX | Antagonist | Humanized | PAD-based | Non-rodent | 32.2 |
Posey et al16 | 2003 | IMC-1C11 | Oncology (colorectal cancer) | VEGFR2 | Antagonist | Chimeric | PAD-based | Rodent | NR |
Kauffman et al17 | 2004 | Anti-IL-12p40 | Immunology (psoriasis) | p40 of IL12, IL23 | Antagonist | Fully human | NOAEL-based | Non-rodent | 161 |
Bekker et al18 | 2004 | AMG 162 (denosumab) | Osteoporosis | RANKL | Antagonist | Fully human | NR | NR | NR |
Agus et al19 | 2005 | 2C4 (pertuzumab) | Oncology (advanced solid tumor) | HER2 | Antagonist | Humanized | Model-based | Non-human primate | 300 |
Dowling et al20 | 2005 | cαStx2 | Infection (Shiga toxin-producing Escherichia coli) | Stx2 | Antagonist | Chimeric | PAD-based | Rodent | NR |
Pacey et al21 | 2005 | HGS-ETR2 (lexatumumab) | Oncology (advanced solid tumor) | TRAIL-R2 | Agonist | Fully human | PAD-based | Rodent | 2 |
Subramanian et al22 | 2005 | Pam | Infection (anthrax) | Protective antigen | Antagonist | Fully human | PAD-based | Non-rodent | NR |
Ribas et al23 | 2005 | CP-675,206 (tremelimumab) | Oncology (solid tumor) | CTLA4 | Antagonist | Fully human | MABEL-based | Rodent and non-rodent | NR |
Reilley et al24 | 2005 | T1-2 (tefibazumab) | Infection (Staphylococcus aureus) | Clumping factor A | Antagonist | Humanized | NR | NR | NR |
Suntharalingam et al25 | 2006 | TGN1412 | Immunology | CD28 | Agonist | Humanized | NOAEL-based | Non-human primate | 160 |
Ng et al26 | 2006 | TRX1 | Immunology (autoimmune disease) | CD4 | Antagonist | Humanized | PAD-based | Non-rodent | NR |
Lacy et al27 | 2006 | CP-751,871 (figitumumab) | Oncology (multiple myeloma) | IGF1R | Antagonist | Fully human | NR | NR | NR |
Tabrizi and Roskos28 | 2007 | Anti-Muc18 antibody | Oncology (malignant melanoma) | Muc18 | Antagonist | Murine | MABEL-based | Non-human primate | 1 |
Tolcher et al29 | 2007 | HGS-ETR1 (mapatumumab) | Oncology (advanced solid tumor) | TRAIL-R1, DR4 | Agonist | Fully human | NOAEL-based | Non-rodent | 1,290 |
Vonderheide et al30 | 2007 | CP-870,893 | Oncology (advanced solid tumor) | CD40 | Agonist | Fully human | NR | NR | NR |
Scott et al31 | 2007 | ch806, 111 In-ch806 | Oncology | EGFR | Antagonist | Chimeric | NR | NR | NR |
Mullamitha et al32 | 2007 | CNTO 95 | Oncology (solid tumor) | αv integrins | Antagonist | Fully human | NR | Rodent | NR |
Furie et al33 | 2008 | Belimumab | Immunology (systemic lupus erythematosus) | B lymphocyte stimulator | Antagonist | Fully human | NOAEL-based | Non-human primate | 16 |
Hagenbeek et al34 | 2008 | Ofatumumab | Oncology (follicular lymphoma) | CD20 | Antagonist | Fully human | PAD-based | Rodent | NR |
Bouman-Thio et al35 | 2008 | CNTO 528 | Erythropoiesis | Erythropoietin receptor | Agonist | Fully human | NR | Rodent and non-Rodent | NR |
Bargou et al36 | 2008 | AMG 103 (blinatumomab) | Oncology (non-Hodgkin lymphoma) | CD19, CD3ε | Agonist | Bi-specific | NR | NR | NR |
Sznol et al37 | 2008 | BMS-663513 | Oncology (advanced melanoma) | CD137 | Agonist | Fully human | NR | NR | NR |
Mendelson et al38 | 2008 | CVX-045 | Oncology (advanced solid tumor) | Thrombospondin | Antagonist | Fully human | NR | NR | NR |
Taylor et al39 | 2008 | CDA-1 | Infection (Clostridium difficile) | C. difficile toxin A | Antagonist | Humanized | NR | Rodent | NR |
Weisman et al40 | 2009 | BSYX-AMD (pagibaximab) | Infection (Staphylococcus) | Lipoteichoic acid | Antagonist | Chimeric | MED-based | Rodent (rat) | NR |
Lazar et al41 | 2009 | KBPA 101 | Infection (Pseudomonas aeruginosa) | LPS O-polysaccharide | Antagonist | Fully human | NOAEL-based | Rodent (mouse) | 10 |
Lachmann et al42 | 2009 | ACZ885 (canakinumab) | Immunology (cryopyrin-associated periodic syndrome) | IL1-beta | Antagonist | Fully human | Model-based | NR | NR |
Herbst et al43 | 2009 | AMG 386 | Oncology (advanced solid tumor) | Antiopoietin | Antagonist | NR | NOAEL-based | Rodent | NR |
Tolcher et al44 | 2009 | AMG 479 (ganitumab) | Oncology | IGF1R | Antagonist | Fully human | NOAEL-based | Rodent and non-rodent | 10 |
Lum et al45 | 2009 | U3-1287 | Oncology (advanced solid tumor) | HER3 | Antagonist | Fully human | Model-based | Rodent and non-rodent | NR |
White et al46 | 2009 | MEDI-528 | Immunology (asthma) | IL9 | Antagonist | Humanized | NR | NR | NR |
Gordon et al47 | 2010 | AMG 102 | Oncology (advanced solid tumor) | HGF/SF | Antagonist | Fully human | NOAEL-based | Non-human primate | 100 |
Herbst et al48 | 2010 | AMG 655 (conatumumab) | Oncology (advanced solid tumor) | DR5 | Agonist | Fully human | PAD-based | Non-human primate | 322 |
Camidge et al49 | 2010 | PRO95780 | Oncology (advanced tumor) | DR5 | Agonist | Fully human | MED-based | NR | 10 |
Spratlin et al50 | 2010 | IMC-1121B (ramucirumab) | Oncology (advanced solid tumor) | VEGFR2 | Antagonist | Fully human | Model-based | Non-human primate | NR |
Beigel et al51 | 2010 | MGAWN1 | Infection (West Nile Virus) | Envelope glycoprotein | Antagonist | Humanized | NOAEL-based | Rodent (rat) | 53 |
Burris et al52 | 2010 | RAV12 | Oncology (gastrointestinal cancer) | RAAG12 | Agonist | Chimeric | NOAEL-based | Non-rodent | 33 |
Verhamme et al53 | 2010 | TB-402 | Coagulative vascular disorder | Factor VII | Antagonist | Fully human | MABEL-based | Rodent and non-rodent | 10 |
Krop et al54 | 2010 | T-DM1 | Oncology (metastatic breast cancer) | HER2 | Antagonist | Humanized | NOAEL-based | Non-rodent | 12 |
Hussein et al55 | 2010 | Dacetuzumab | Oncology (multiple myeloma) | CD40 | Partial agonist | Humanized | NR | NR | NR |
Kuenen et al56 | 2010 | IMC-11F8 (necitumumab) | Oncology (advanced solid tumor) | EGFR | Antagonist | Fully human | NR | NR | NR |
Brahmer et al57 | 2010 | MDX-1106 | Oncology (solid tumor) | PD-1 | Antagonist | Fully human | NR | NR | NR |
Genovese et al58 | 2010 | LY2439821 | Immunology (rheumatoid arthritis) | IL17 | Antagonist | Humanized | NR | NR | NR |
Adler et al59 | 2010 | FG-3019 | Diabetic kidney disease | CTGF | Antagonist | Fully human | NR | NR | NR |
Busse et al60 | 2010 | MEDI-563 | Immunology (asthma) | IL5R-alpha | Antagonist | Humanized | NR | NR | NR |
Riddle et al61 | 2011 | MDX-1303 | Infection (anthrax) | B. anthracis protective antigen | Antagonist | Fully human | Model-based | Non-human primate | 53 |
Xu et al62 | 2011 | CNTO 136 (sirukumab) | Immunology (rheumatoid arthritis) | IL6 | Antagonist | Fully human | MED-based | Non-human primate | 53 |
Martinsson-Niskanen et al63 | 2011 | TB-403 | Oncology (solid tumor) | PIGF | Antagonist | Humanized | MABEL-based | Rodent (mouse) | 10 |
Paz-Ares et al64 | 2011 | RG7160 (GA201) | Oncology (solid tumor) | EGFR | Antagonist | Humanized | NOAEL-based | Non-Rodent | .30 |
Padhi et al65 | 2011 | AMG 785 | Osteoporosis | Sclerostin | Antagonist | Humanized | NOAEL-based | Rodent | NR |
Burmester et al66 | 2011 | CAM-3001 (mavrilimumab) | Immunology (rheumatoid arthritis) | GM-CSFR-alpha | Antagonist | Fully human | NR | NR | NR |
Rosen et al67 | 2012 | TRC105 | Oncology (angiogenesis) | CD105 | Agonist | Chimeric | Model-based | Non-human primate | NR |
Morris et al68 | 2012 | AGS-PSCA | Oncology (prostate cancer) | PSCA | Antagonist | Fully human | PAD-based | Rodent | NR |
Curtin et al69 | 2012 | GNbAC1 | Immunology (multiple sclerosis) | MSRV-Env protein | Antagonist | Humanized | MABEL-based | In vitro | 2.3 |
Stein et al70 | 2012 | REGN727 | Hypercholesterolemia | PCSK9 | Antagonist | Fully human | PAD-based | Non-rodent | NR |
Zonder et al71 | 2012 | Anti-CS1 (elotuzumab) | Oncology (multiple myeloma) | CS1 | Antagonist | Humanized | PAD-based | Rodent | NR |
Abila et al72 | 2013 | GSK249320 | Stroke | Myelin-associated glycoprotein | Antagonist | Humanized | NR | Rodent and non-rodent | NR |
Goldwater et al73 | 2013 | ASKP1240 | Transplantation | CD40 | Antagonist | Fully human | MABEL-based | In vitro | 10 |
Hodsman et al74 | 2013 | GSK679586 | Immunology (asthma) | IL13 | Antagonist | Humanized | MABEL-based | In vitro | NR |
Sandhu et al75 | 2013 | CNTO888 (carlumab) | Oncology (solid tumor) | CCL2 | Antagonist | Fully human | NOAEL-based | NR | 50 |
Infante et al76 | 2013 | KRN330 | Oncology (advanced colorectal cancer) | A33 | Antagonist | Fully human | NOAEL-based | Non-human primate | 300 |
Vugmeyster et al77 | 2013 | TAM-163 | Body weight modulation | Tyrosine receptor kinase-B | Agonist | Humanized | MABEL-based | Non-human primate | 400 |
Reilly et al78 | 2013 | OPN-305 | Transplantation | TLR2 | Antagonist | Humanized | NOAEL-based | Rodent and non-rodent | NR |
Zhu et al79 | 2013 | GC33 | Oncology (hepatocellular carcinoma) | Glypican-3 | Antagonist | Humanized | PAD-based | Rodent | NR |
Note:
* The safety factor is a number by which the calculated human equivalence dose is divided to increase the assurance that the first dose will not cause toxicity in humans.2
Abbreviations: CCL2, CC-chemokine ligand 2; CMV, cytomegalovirus; CTLA4, cytotoxic T lymphocyte-associated antigen 4; CTGF, connective tissue growth factor; DR4, TRAIL-R1, tumor necrosis factor (TNF)–related apoptosis-inducing ligand receptor-1; EGFR, epidermal growth factor receptor; HER2, human epidermal growth factor receptor 2; HGF/SF, hepatocyte growth factor/scatter factor; IL6, interleukin-6; IGF1R, insulin like growth factor 1 receptor; GM-CSFR, granulocyte-macrophage colony-stimulating factor receptor; IL2R, interleukin 2 receptor; LPS, lipopolysaccharide; MABEL, minimal anticipated biological effect level; MED, minimum effective dose; MRSD, maximum recommended starting dose; NOAEL, no observed adverse effects level; NR, not reported; PAD, pharmacologically active dose; PD, pharmacodynamics; PSCA, prostate stem cell antigen; PCSK9, proprotein convertase subtilisin/kexin 9; PIGF, placental growth factor; RANKL, RANK ligand; Stx2, Shiga toxin type 2; TRAIL-R2, tumor necrosis factor-related apoptosis-inducing ligand receptor-2; TLR2, toll-like receptor 2; VEGF, vascular endothelial growth factor; VEGFR2, vascular endothelial growth factor receptor-2.
A systematic review was performed to evaluate how the maximum recommended starting dose (MRSD) was determined in first-in-human (FIH) studies with monoclonal antibodies (mAbs). Factors associated with the choice of each MRSD determination method were also identified. PubMed was searched for FIH studies with mAbs published in English between January 1, 1990 and December 31, 2013, and the following information was extracted: MRSD determination method, publication year, therapeutic area, antibody type, safety factor, safety assessment results after the first dose, and number of dose escalation steps. Seventy-nine FIH studies with mAbs were identified, 49 of which clearly reported the MRSD determination method. The no observed adverse effects level (NOAEL)-based approach was the most frequently used method, whereas the model-based approach was the least commonly used method (34.7% vs 16.3%). The minimal anticipated biological effect level (MABEL)- or minimum effective dose (MED)-based approach was used more frequently in 2011–2013 than in 1990–2007 (31.6% vs 6.3%, P=0.036), reflecting a slow, but steady acceptance of the European Medicines Agency’s guidance on mitigating risks for FIH clinical trials (2007). The median safety factor was much lower for the MABEL- or MED-based approach than for the other MRSD determination methods (10 vs 32.2–53). The number of dose escalation steps was not significantly different among the different MRSD determination methods. The MABEL-based approach appears to be safer and as efficient as the other MRSD determination methods for achieving the objectives of FIH studies with mAbs faster.
Keywords: MRSD determination method, starting dose in first-in-human study, first-in-human study with monoclonal antibody, MRSD, safety factor
Determining the safe starting dose for humans is one of the most important steps before any new biopharmaceutical product under development can enter clinical testing for the first time. Ideally, the starting dose should be low not to cause any harm in humans, while it is expected to be not too low for efficacy, thereby reducing the number of patients exposed to ineffective doses in the first-in-human (FIH) clinical trials.1 The regulatory agencies such as the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have published guidance documents to select the maximum recommended starting dose (MRSD) in the FIH study.2,3 The FDA guidance has been used in many FIH studies with new chemical entities of low-molecular weight, although it is also applicable to the FIH studies with biological agents. The emphasis in the FDA guidance is placed on the no observed adverse effects level (NOAEL) assessed in preclinical toxicology studies.2 The NOAEL is then converted into the human equivalence dose by applying an appropriate scaling factors to adjust for body surface area among different species.2 In contrast, the EMA guidance stresses the minimal anticipated biological effect level (MABEL) approach, in which all in vitro and in vivo information will be taken into consideration.3 The NOAEL- or the MABEL-derived human equivalence dose can be reduced further by applying the safety factor, a number by which the calculated human equivalence dose is divided to increase the assurance that the first dose will not cause toxicity in humans.
Since the 1980s, monoclonal antibodies (mAbs) have been actively incorporated into clinical medicine as a beneficial therapeutic option, particularly in oncology and immunology.4 However, protein-based drugs such as mAbs can have more uncertain safety profiles than those of chemistry-based drugs before an FIH study is conducted. For example, a severe life-threatening cytokine storm was developed in all the subjects who received the active drug in FIH study with TGN1412, a superagonist mAb against CD28, although a conservatively low starting dose was administered derived from the NOAEL (ie, a large safety factor of 160).5 This tragic incident highlighted the importance of and difficulties in selecting the safest maximum starting dose in FIH studies with mAbs.6 After the incident in the FIH study of TGN1412, several publications have proposed various ways to determine MRSD for FIH studies with biological agents. Many of these follow-up publications emphasized that MRSD for the FIH study with novel biological agents should be chosen after taking into account multiple points, for example, different endpoints, interspecies scaling, and safety factors.7,8 In support of this notion, a recent review found that the preclinical animal models and key toxicity parameters used to determine the starting dose for FIH studies with molecularly targeted agents in cancer patients were variable and heterogeneous.9 To the best of our knowledge, however, no investigation has reported how MRSD was determined in FIH studies with mAbs and which factors were associated with the choice of MRSD determination methods. Furthermore, the consequences of various MRSD determination methods have not been assessed, particularly in terms of safety and efficiency in achieving the objectives of FIH clinical trials. On the basis of this understanding, the objectives of the present study were 1) to evaluate MRSD determination methods employed in FIH studies with mAbs, 2) to identify factors associated with choosing one method over the others, and 3) to compare the safety and efficiency of each MRSD determination method. To achieve these objectives, we performed a systematic review of the papers that reported the results of FIH studies with mAbs from 1990 to 2013.
To construct a database for the FIH studies with mAbs, we searched PubMed using the combination of the following terms: clinical trial, phase I or phase 1, first-in-human or first-in-man, first-time-in-human or first-time-in-man, starting dose or initial dose, and mAb. The literature search was complemented by an additional manual search of the references from the published papers and reviews focusing on mAbs. Eligible studies had to meet all of the following inclusion criteria: 1) the full text was available or there was at least a clear indication of how the MRSD was determined in the abstract or proceedings, 2) the text was written in English, and 3) the studies were published between January 1, 1990 and December 31, 2013.
If papers explicitly stated that the MRSD was determined based on a NOAEL, MABEL, minimum effective dose (MED), or pharmacologically active dose (PAD), they were classified as the respective dose- or level-based. Although a paper did not clearly indicate the MRSD determination method, it was also classified as NOAEL-, MABEL-, MED-, or PAD-based if the paper presented other information or supplemental data that enabled us to identify which method was used. For example, if a paper emphasized that no toxicity was found in the preclinical animal model up to a certain dose, which was used as the basis for determining the MRSD in humans, the method was NOAEL-based. Similarly, if the MRSD was determined from a dose identified in preclinical models that produced any or minimal pharmacological effect, the paper was classified as PAD- or MED-based, respectively. However, if animal pharmacokinetic (PK) data were the basis of MRSD determination or if a PK model was used to estimate the human PK parameters, which eventually resulted in the MRSD, the method was PK model-based. If the information about the receptor occupancy or other biomarkers was used to determine the MRSD, the method was pharmacodynamic (PD) model-based. If a PK–PD modeling approach was used to determine the MABEL, however, the paper was classified as MABEL-based. Because there were some similarities among MRSD determination methods, they were further grouped as follows: 1) MABEL- or MED-based (ie, MRSD was selected based on a dose associated with the minimal pharmacological effect) or 2) model-based (ie, PK, PD, or PK–PD, in which MRSD was determined using a model-based approach).
We also collected the information about the factors that could have been associated with the choice of MRSD determination method: publication year, therapeutic area (ie, oncology, immunology, infection, and others), and antibody type (ie, murine, chimeric, humanized, fully human, and others). Because the MABEL-based approach was officially first introduced in the EMA guidance in 2007, partly prompted by the TGN1412 incident,3 we categorized the publication year into three periods: before 2007 (ie, 1990–2007) and two 3-year periods after 2007 (ie, 2008–2010 and 2011–2013) to investigate the impact of the EMA guidance.
Furthermore, we extracted or derived the safety factor using the information available in the paper. In addition, we collected the safety result after the first dose and the number of dose escalation steps to evaluate the consequence of each MRSD determination method.
Two authors (HYS and HL) independently reviewed the papers and performed data extraction. The extracted data were then cross-checked for concurrence, and any differences were discussed until an agreement was reached.
Safety factor and MRSD determination method were summarized using descriptive statistics. The Fisher’s exact test was performed to analyze whether MRSD determination method was significantly affected by the publication year, therapeutic area, and the type of mAbs. To test whether the median safety factor and the mean number of dose escalation steps were significantly different by MRSD determination method, the Kruskal–Wallis and the analysis of variance tests were performed, respectively. The SAS statistical software (version 9.4; SAS Institute, Inc., Cary, NC, USA) was used for the statistical analysis, and a two-tailed P-value ≤0.05 was considered statistically significant.
The literature search identified 140 candidate FIH studies with mAbs, 61 of which were excluded because they did not meet the selection criteria: full text unavailable (n=58) or not in English (n=1); published before January 1, 1990 or after December 31, 2013 (n=2). Hence, a total of 79 FIH studies were included in the final study database (Table S1). Overall, the majority of FIH studies with mAbs were performed in oncology (n=41, 51.9%), followed by immunology (n=14, 17.7%) and infection (n=10, 12.7%). The number of FIH studies with fully human antibodies and humanized antibodies has drastically increased since the early 2000s, whereas the number of FIH studies with murine or chimeric antibodies remained steadily low during the entire period ( Figure 1 ).
Types of monoclonal antibodies used in the first-in-human studies by publication year (1990–2013).
Of 79 FIH studies with mAbs included in the study database, 49 studies (62.0%) clearly indicated how the MRSD was determined, whereas the remaining 30 studies (38.0%) did not report the MRSD determination method ( Figure 2 ). Of the 49 studies that reported the MRSD determination method, more than one-third used the NOAEL-based approach (n=17, 34.7%), followed by the PAD-based approach (n=13, 26.5%) and the MABEL- or MED-based approach (n=11, 22.4%). The model-based approach was the least common method (n=8, 16.3%).
Overall proportion of the MRSD determination method in the first-in-human studies with monoclonal antibodies.
Note: The model-based methods included PK model-based, PD model-based, and PK–PD model-based approaches.
Abbreviations: MABEL, minimal anticipated biological effect level; MED, minimum effective dose; MRSD, maximum recommended starting dose; NOAEL, no observed adverse effects level; PAD, pharmacologically active dose; PD, pharmacodynamics; PK, pharmacokinetic.
The more recent the publications were the more frequently they reported which method was used to determine the MRSD. Almost 90% of the studies published from 2011 to 2013 clearly indicated which method was used to determine the MRSD, whereas only half of the studies published before 2007 did ( Table 1 ). The MABEL- or MED-based approach was used more frequently in 2011–2013 than in 1990–2007 (31.6% vs 6.3%, Table 1 ). Notably, the MABEL-based approach was not used until 2005 (Table S1; Figure 3 ). In contrast, the proportions of the other MRSD determination methods, particularly the model-based approach, did not appear to change much over the entire period of 1990–2013. Collectively, MRSD determination method varied significantly by publication year (P=0.036, Table 1 ), whereas therapeutic area or antibody type was not significantly associated with the choice of MRSD determination method (P=0.995 and 0.982, respectively, Table 1 ).
Yearly trend of the MRSD determination methods in the first-in-human studies with monoclonal antibodies (1990–2013).
Note: The model-based methods included the PK model-based, PD model-based, and PK–PD model-based approaches.
Abbreviations: MABEL, minimal anticipated biological effect level; MED, minimum effective dose; MRSD, maximum recommended starting dose; NOAEL, no observed adverse effects level; PAD, pharmacologically active dose; PD, pharmacodynamics; PK, pharmacokinetic.
Publication year, therapeutic area, and antibody type by MRSD determination method
Factor | NOAEL-based approach | MABEL- or MED-based approach | PAD-based approach | Model-based approach * | Not reported | Total | P-value # |
---|---|---|---|---|---|---|---|
Publication year | |||||||
1990–2007 | 4 (12.5%) | 2 (6.2%) | 7 (21.9%) | 3 (9.4%) | 16 (50.0%) | 32 (40.5%) | |
2008–2010 | 8 (28.6%) | 3 (10.7%) | 2 (7.1%) | 3 (10.7%) | 12 (42.9%) | 28 (35.4%) | |
2011–2013 | 5 (26.3%) | 6 (31.6%) | 4 (21.1%) | 2 (10.5%) | 2 (10.5%) | 19 (24.1%) | |
Therapeutic area | 0.995 | ||||||
Oncology | 9 (21.9%) | 4 (9.8%) | 8 (19.5%) | 5 (12.2%) | 15 (36.6%) | 41 (51.9%) | |
Immunology | 3 (21.4%) | 3 (21.4%) | 1 (7.1%) | 1 (7.1%) | 6 (43.0%) | 14 (17.7%) | |
Infection | 2 (20.0%) | 1 (10.0%) | 2 (20.0%) | 1 (10.0%) | 4 (40.0%) | 10 (12.7%) | |
Others | 3 (21.4%) | 3 (21.4%) | 2 (14.3%) | 1 (7.1%) | 5 (35.8%) | 14 (17.7%) | |
Antibody type | 0.982 | ||||||
Murine | 0 (0.0%) | 1 (25.0%) | 1 (25.0%) | 1 (25.0%) | 1 (25.0%) | 4 (5.1%) | |
Chimeric | 1 (10.0%) | 1 (10.0%) | 2 (20.0%) | 1 (10.0%) | 5 (50.0%) | 10 (12.7%) | |
Humanized | 6 (21.4%) | 4 (14.3%) | 4 (14.3%) | 2 (7.1%) | 12 (43.0%) | 28 (35.4%) | |
Fully human | 9 (25.7%) | 5 (14.3%) | 6 (17.2%) | 4 (11.4%) | 11 (31.4%) | 35 (44.3%) | |
Others | 1 (50.0%) | 0 (0.0%) | 0 (0.0%) | 0 (0.0%) | 1 (50.0%) | 2 (2.5%) | |
Total | 17 (21.5%) | 11 (13.9%) | 13 (16.5%) | 8 (10.1%) | 30 (38.0%) | 79 (100%) |
Notes: The row percent is shown except for the total, in which the column percent is displayed.
* The model-based methods included the PK model-based, PD model-based, and PK–PD model-based approaches.
# P-values from Fisher’s exact test.Abbreviations: MABEL, minimal anticipated biological effect level; MED, minimum effective dose; MRSD, maximum recommended starting dose; NOAEL, no observed adverse effects level; PAD, pharmacologically active dose; PD, pharmacodynamic; PK, pharmacokinetic.
The median safety factor was numerically much lower for the MABEL- or MED-based approach than for the other approaches, although this difference failed to reach statistical significance (10 vs 32.2–53, P=0.416, Table 2 ). Fourteen studies (17.7%) indicated that the first dose was safe, in which the MRSD was determined by the NOAEL-based (n=6) and the MABEL- or MED-based approaches (n=6). Only one study reported the first dose was not safe, in which the NOAEL was the basis for MRSD determination. The mean number of dose escalation steps was comparable among the different MRSD determination methods (P=0.177, Figure 4 ).
Number of dose escalation steps by the MRSD determination method in the first-in-human studies with monoclonal antibodies.
Notes: The line across each box, the top edge, and the bottom edge represent the median (solid line), the mean (short dash), the first quartile, and the third quartile, respectively (for the MABEL- or MED-, PAD-, and model-based approaches, the median values were the same as the first quartile values). The horizontal lines connected to the whiskers extending from the box denote the minimum and maximum values, respectively. The filled circles ( • ) indicate outliers, which are defined as either values less than the first quartile minus 1.5 times the interquartile range or values greater than the third quartile plus 1.5 times interquartile range. The model-based methods included the PK model-based, PD model-based, and PK–PD model-based approaches.
Abbreviations: MABEL, minimal anticipated biological effect level; MED, minimum effective dose; MRSD, maximum recommended starting dose; NOAEL, no observed adverse effects level; PAD, pharmacologically active dose; PD, pharmacodynamics; PK, pharmacokinetic.
Safety factors by MRSD determination method
Factor | NOAEL-based approach (n=14) | MABEL- or MED-based approach (n=8) | PAD-based approach (n=3) | Model-based approach (n=3) | P-value * |
---|---|---|---|---|---|
Safety factor # | 41.5 (3.2–1,290) | 10 (1–400) | 32.2 (2–322) | 53 (6.5–300) | 0.416 |
Notes:
* P-value from Kruskal–Wallis test.# The median (range) is presented. The model-based methods included the PK model-based, PD model-based, and PK-PD model-based approaches.
Abbreviations: MABEL, minimal anticipated biological effect level; MED, minimum effective dose; MRSD, maximum recommended starting dose; NOAEL, no observed adverse effects level; PAD, pharmacologically active dose; PD, pharmacodynamics; PK, pharmacokinetic.
We have found that the NOAEL-based approach was still the most commonly used MRSD determination method for FIH studies with mAbs, while the model-based approach was used far less frequently. Our results showed that more than one-third of the FIH studies employed the NOAEL-based approach, which was double the number of studies using the model-based approach (34.7% vs 16.3%, Figure 2 ). This trend was rather disappointing, given that the usefulness of the model-based approach has been repeatedly emphasized in determining the MRSD.10–13 For example, a PK–PD model derived from cynomolgus monkeys enabled choosing 0.01 mg/kg as the MRSD for the FIH study with TRC105, an antibody with antiangiogenic effect to solid tumors. On the basis of the PK–PD model, the MRSD would successfully result in concentrations above the dissociation constant for the antibody, leading to a pharmacologic effect in humans.14 However, the infrequent use of the model-based approach to determine the MRSD can be attributed to the fact that animal data may not be available in sufficient detail to construct a model at the time of the FIH studies with mAbs.2,11,15 Furthermore, concerns about interspecies differences in bioavailability and metabolism could be another factor that has prevented the model-based approach from being applied more frequently in FIH studies with mAbs.16
Our results also showed that publication year was significantly associated with the choice of MRSD determination method, which was demonstrated in two ways. First, the proportion of FIH studies not reporting the MRSD determination method fell sharply to 10.5% in 2011–2013 from 42.9% in 2008–2010 and 50.0% in 1990–2007 ( Table 1 ; Figure 3 ). It is encouraging that more FIH studies started reporting the MRSD determination method because this not only indicates increased transparency, but also it may allow for evaluating whether a certain type of MRSD determination method was useful or not in a particular study setting. Second, the MABEL- or MED-based approaches were more frequently used in 2011–2013 (31.6%) than in 1990–2007 (6.2%) and 2008–2010 (10.7%, Table 1 ). In particular, the first MABEL-based FIH study with mAbs was published in 2005, followed by another in 2007 and six during 2010–2013 (Table S1). This sharp increase during the latest period certainly reflects the impact of the tragic TGN1412 incident and the EMA guidance that followed the incident, which strongly recommended the use of the MABEL-based approach to determine MRSD.8,17 This trend is expected to continue in the future given the heightened concern about the potential safety issues of biological agents including mAbs. However, the MABEL-based approach requires extensive knowledge regarding the pharmacological mechanisms and their integration, preferably via PK–PD modeling.10,18
The present study indicates that the safety factor varied widely by MRSD determination method. Namely, the MABEL- or MED-based approaches had much smaller median values of safety factor than the other MRSD determination methods ( Table 2 ). The safety factor accounts for uncertainties such as potential interspecies differences and thereby serves as an additional means of assuring that toxicity dose not develop in humans at the first dose in FIH studies.19 Therefore, smaller safety factors indicated greater confidence for human safety at the time of FIH studies.2 The MABEL-based approach always results in a smaller human equivalence dose than the other MRSD determination methods, particularly the NOAEL-based approach.20,21 Therefore, the safety factor tends to be smaller with the MABEL-based approach than with the other methods, as shown in our results.
Although the MABEL-based approach came up with an MRSD lower than those derived by the other approaches, the average number of dose escalation steps was similar ( Figure 4 ). Fewer dose escalation steps indicated more efficient FIH studies. Therefore, the MABEL-based approach did not appear to be inferior to the other MRSD determination methods. Furthermore, more than half (6/11=54.5%) of the papers that employed the MABEL-based approach explicitly indicated that the first dose was safe, which was almost 20% points higher than that with the NOAEL-based approach (6/17=35.3%). Of course, this interpretation needs caution because >80% of the papers did not explicitly mention about the safety results after the first dose.
The major limitation of the present study was the possibility of misclassifying MRSD determination method, particularly between the model- and MABEL-based approaches. Because the EMA guidance suggests that
all information available from PK/PD data … wherever possible … should be integrated in a PK/PD modeling approach for the determination of the MABEL (emphasis added)
some FIH studies classified as using the model-based approach had, in fact, used the MABEL-based approach. However, this possible misclassification was very unlikely to influence our final conclusion because only a small number of FIH studies (n=8, 10.1%, Table 2 ) were classified as model-based. Another limitation was that the MRSD determination method was not identifiable in 30 (=38%) FIH studies with mAbs because the authors did not report which method was used. Although our study database was constructed by a thorough literature search, further studies are warranted to circumvent this type of publication bias.22
We anticipate that the MABEL-based approach will be more frequently used in FIH studies with mAbs in the future, while the NOAEL-based approach is still likely to be the most commonly used method. The MABEL-based approach appears to be safer and as efficient as the other MRSD determination methods for achieving the objectives of FIH clinical trials faster. To the best of our knowledge, this is the first report showing the rapid acceptance of the MABEL-based approach in FIH studies with mAbs, reinforcing the impact of the EMA guidance. Our study can also illuminate the trends of the choice of MRSD determination methods, which may contribute to a safer design and conduct of FIH studies with mAbs in humans.
Reference | Year | Biologicals | Therapeutic area | Target of action | Type of action | Antibody type | MRSD determination method | Preclinical model | Safety factor * |
---|---|---|---|---|---|---|---|---|---|
Drobyski et al1 | 1991 | MSL-109 (sevirumab) | Transplantation (related infection) | CMV | Antagonist | Fully human | NOAEL-based | Non-human primate | 3.2 |
Klein et al2 | 1991 | B-E8 | Oncology (multiple myeloma) | IL6 | Antagonist | Murine | PAD-based | In vitro | NR |
Maloney et al3 | 1994 | IDEC-C2B8 (rituximab) | Oncology (non-Hodgkin lymphoma) | CD20 | Antagonist | Chimeric | NR | Non-rodent | NR |
Handgretinger et al4 | 1995 | ch14.18 | Oncology (metastatic melanoma) | GD2 | Agonist | Chimeric | NR | NR | NR |
Brooks et al5 | 1995 | 42/6 Antibody | Oncology (advanced cancer) | Transferrin receptor | Antagonist | Murine | NR | Rodent | NR |
Everitt et al6 | 1996 | RSHZ19 | Infection (respiratory syncytial virus) | F protein | Antagonist | Humanized | NR | NR | NR |
Vincenti et al7 | 1997 | Anti-tac (daclizumab) | Transplantation (graft vs host disease) | IL2R-alpha | Antagonist | Humanized | NR | NR | NR |
Zaanen et al8 | 1998 | CNTO-328 (siltuximab) | Oncology (multiple myeloma) | IL6 | Antagonist | Chimeric | NR | NR | NR |
Bowen et al9 | 1998 | Hu23F2G (rovelizumab) | Immunology (multiple sclerosis) | CD11/CD18 | Antagonist | Humanized | NR | NR | NR |
Harder et al10 | 1999 | YM337 | Coagulative vascular disorder | Glycoprotein IIb/IIIa | Antagonist | Humanized | Model-based | Non-human primate | 6.5 |
Gottlieb et al11 | 2000 | hu1124 (efalizumab) | Immunology (psoriasis) | CD11a | Antagonist | Humanized | NR | NR | NR |
Crombet et al12 | 2001 | ior egf/r3 | Oncology (brain tumor) | EGFR | Antagonist | Murine | Model-based | NR | NR |
Gordon et al13 | 2001 | rhuMAb (bevacizumab) | Oncology (advanced cancer) | VEGF | Antagonist | Humanized | NR | NR | NR |
Verbon et al14 | 2001 | IC14 | Infection (sepsis) | CD14 | Antagonist | Chimeric | NR | Non-rodent | NR |
Chow et al15 | 2002 | SB 249417 | Coagulative vascular disorder | Factor IX | Antagonist | Humanized | PAD-based | Non-rodent | 32.2 |
Posey et al16 | 2003 | IMC-1C11 | Oncology (colorectal cancer) | VEGFR2 | Antagonist | Chimeric | PAD-based | Rodent | NR |
Kauffman et al17 | 2004 | Anti-IL-12p40 | Immunology (psoriasis) | p40 of IL12, IL23 | Antagonist | Fully human | NOAEL-based | Non-rodent | 161 |
Bekker et al18 | 2004 | AMG 162 (denosumab) | Osteoporosis | RANKL | Antagonist | Fully human | NR | NR | NR |
Agus et al19 | 2005 | 2C4 (pertuzumab) | Oncology (advanced solid tumor) | HER2 | Antagonist | Humanized | Model-based | Non-human primate | 300 |
Dowling et al20 | 2005 | cαStx2 | Infection (Shiga toxin-producing Escherichia coli) | Stx2 | Antagonist | Chimeric | PAD-based | Rodent | NR |
Pacey et al21 | 2005 | HGS-ETR2 (lexatumumab) | Oncology (advanced solid tumor) | TRAIL-R2 | Agonist | Fully human | PAD-based | Rodent | 2 |
Subramanian et al22 | 2005 | Pam | Infection (anthrax) | Protective antigen | Antagonist | Fully human | PAD-based | Non-rodent | NR |
Ribas et al23 | 2005 | CP-675,206 (tremelimumab) | Oncology (solid tumor) | CTLA4 | Antagonist | Fully human | MABEL-based | Rodent and non-rodent | NR |
Reilley et al24 | 2005 | T1-2 (tefibazumab) | Infection (Staphylococcus aureus) | Clumping factor A | Antagonist | Humanized | NR | NR | NR |
Suntharalingam et al25 | 2006 | TGN1412 | Immunology | CD28 | Agonist | Humanized | NOAEL-based | Non-human primate | 160 |
Ng et al26 | 2006 | TRX1 | Immunology (autoimmune disease) | CD4 | Antagonist | Humanized | PAD-based | Non-rodent | NR |
Lacy et al27 | 2006 | CP-751,871 (figitumumab) | Oncology (multiple myeloma) | IGF1R | Antagonist | Fully human | NR | NR | NR |
Tabrizi and Roskos28 | 2007 | Anti-Muc18 antibody | Oncology (malignant melanoma) | Muc18 | Antagonist | Murine | MABEL-based | Non-human primate | 1 |
Tolcher et al29 | 2007 | HGS-ETR1 (mapatumumab) | Oncology (advanced solid tumor) | TRAIL-R1, DR4 | Agonist | Fully human | NOAEL-based | Non-rodent | 1,290 |
Vonderheide et al30 | 2007 | CP-870,893 | Oncology (advanced solid tumor) | CD40 | Agonist | Fully human | NR | NR | NR |
Scott et al31 | 2007 | ch806, 111 In-ch806 | Oncology | EGFR | Antagonist | Chimeric | NR | NR | NR |
Mullamitha et al32 | 2007 | CNTO 95 | Oncology (solid tumor) | αv integrins | Antagonist | Fully human | NR | Rodent | NR |
Furie et al33 | 2008 | Belimumab | Immunology (systemic lupus erythematosus) | B lymphocyte stimulator | Antagonist | Fully human | NOAEL-based | Non-human primate | 16 |
Hagenbeek et al34 | 2008 | Ofatumumab | Oncology (follicular lymphoma) | CD20 | Antagonist | Fully human | PAD-based | Rodent | NR |
Bouman-Thio et al35 | 2008 | CNTO 528 | Erythropoiesis | Erythropoietin receptor | Agonist | Fully human | NR | Rodent and non-Rodent | NR |
Bargou et al36 | 2008 | AMG 103 (blinatumomab) | Oncology (non-Hodgkin lymphoma) | CD19, CD3ε | Agonist | Bi-specific | NR | NR | NR |
Sznol et al37 | 2008 | BMS-663513 | Oncology (advanced melanoma) | CD137 | Agonist | Fully human | NR | NR | NR |
Mendelson et al38 | 2008 | CVX-045 | Oncology (advanced solid tumor) | Thrombospondin | Antagonist | Fully human | NR | NR | NR |
Taylor et al39 | 2008 | CDA-1 | Infection (Clostridium difficile) | C. difficile toxin A | Antagonist | Humanized | NR | Rodent | NR |
Weisman et al40 | 2009 | BSYX-AMD (pagibaximab) | Infection (Staphylococcus) | Lipoteichoic acid | Antagonist | Chimeric | MED-based | Rodent (rat) | NR |
Lazar et al41 | 2009 | KBPA 101 | Infection (Pseudomonas aeruginosa) | LPS O-polysaccharide | Antagonist | Fully human | NOAEL-based | Rodent (mouse) | 10 |
Lachmann et al42 | 2009 | ACZ885 (canakinumab) | Immunology (cryopyrin-associated periodic syndrome) | IL1-beta | Antagonist | Fully human | Model-based | NR | NR |
Herbst et al43 | 2009 | AMG 386 | Oncology (advanced solid tumor) | Antiopoietin | Antagonist | NR | NOAEL-based | Rodent | NR |
Tolcher et al44 | 2009 | AMG 479 (ganitumab) | Oncology | IGF1R | Antagonist | Fully human | NOAEL-based | Rodent and non-rodent | 10 |
Lum et al45 | 2009 | U3-1287 | Oncology (advanced solid tumor) | HER3 | Antagonist | Fully human | Model-based | Rodent and non-rodent | NR |
White et al46 | 2009 | MEDI-528 | Immunology (asthma) | IL9 | Antagonist | Humanized | NR | NR | NR |
Gordon et al47 | 2010 | AMG 102 | Oncology (advanced solid tumor) | HGF/SF | Antagonist | Fully human | NOAEL-based | Non-human primate | 100 |
Herbst et al48 | 2010 | AMG 655 (conatumumab) | Oncology (advanced solid tumor) | DR5 | Agonist | Fully human | PAD-based | Non-human primate | 322 |
Camidge et al49 | 2010 | PRO95780 | Oncology (advanced tumor) | DR5 | Agonist | Fully human | MED-based | NR | 10 |
Spratlin et al50 | 2010 | IMC-1121B (ramucirumab) | Oncology (advanced solid tumor) | VEGFR2 | Antagonist | Fully human | Model-based | Non-human primate | NR |
Beigel et al51 | 2010 | MGAWN1 | Infection (West Nile Virus) | Envelope glycoprotein | Antagonist | Humanized | NOAEL-based | Rodent (rat) | 53 |
Burris et al52 | 2010 | RAV12 | Oncology (gastrointestinal cancer) | RAAG12 | Agonist | Chimeric | NOAEL-based | Non-rodent | 33 |
Verhamme et al53 | 2010 | TB-402 | Coagulative vascular disorder | Factor VII | Antagonist | Fully human | MABEL-based | Rodent and non-rodent | 10 |
Krop et al54 | 2010 | T-DM1 | Oncology (metastatic breast cancer) | HER2 | Antagonist | Humanized | NOAEL-based | Non-rodent | 12 |
Hussein et al55 | 2010 | Dacetuzumab | Oncology (multiple myeloma) | CD40 | Partial agonist | Humanized | NR | NR | NR |
Kuenen et al56 | 2010 | IMC-11F8 (necitumumab) | Oncology (advanced solid tumor) | EGFR | Antagonist | Fully human | NR | NR | NR |
Brahmer et al57 | 2010 | MDX-1106 | Oncology (solid tumor) | PD-1 | Antagonist | Fully human | NR | NR | NR |
Genovese et al58 | 2010 | LY2439821 | Immunology (rheumatoid arthritis) | IL17 | Antagonist | Humanized | NR | NR | NR |
Adler et al59 | 2010 | FG-3019 | Diabetic kidney disease | CTGF | Antagonist | Fully human | NR | NR | NR |
Busse et al60 | 2010 | MEDI-563 | Immunology (asthma) | IL5R-alpha | Antagonist | Humanized | NR | NR | NR |
Riddle et al61 | 2011 | MDX-1303 | Infection (anthrax) | B. anthracis protective antigen | Antagonist | Fully human | Model-based | Non-human primate | 53 |
Xu et al62 | 2011 | CNTO 136 (sirukumab) | Immunology (rheumatoid arthritis) | IL6 | Antagonist | Fully human | MED-based | Non-human primate | 53 |
Martinsson-Niskanen et al63 | 2011 | TB-403 | Oncology (solid tumor) | PIGF | Antagonist | Humanized | MABEL-based | Rodent (mouse) | 10 |
Paz-Ares et al64 | 2011 | RG7160 (GA201) | Oncology (solid tumor) | EGFR | Antagonist | Humanized | NOAEL-based | Non-Rodent | .30 |
Padhi et al65 | 2011 | AMG 785 | Osteoporosis | Sclerostin | Antagonist | Humanized | NOAEL-based | Rodent | NR |
Burmester et al66 | 2011 | CAM-3001 (mavrilimumab) | Immunology (rheumatoid arthritis) | GM-CSFR-alpha | Antagonist | Fully human | NR | NR | NR |
Rosen et al67 | 2012 | TRC105 | Oncology (angiogenesis) | CD105 | Agonist | Chimeric | Model-based | Non-human primate | NR |
Morris et al68 | 2012 | AGS-PSCA | Oncology (prostate cancer) | PSCA | Antagonist | Fully human | PAD-based | Rodent | NR |
Curtin et al69 | 2012 | GNbAC1 | Immunology (multiple sclerosis) | MSRV-Env protein | Antagonist | Humanized | MABEL-based | In vitro | 2.3 |
Stein et al70 | 2012 | REGN727 | Hypercholesterolemia | PCSK9 | Antagonist | Fully human | PAD-based | Non-rodent | NR |
Zonder et al71 | 2012 | Anti-CS1 (elotuzumab) | Oncology (multiple myeloma) | CS1 | Antagonist | Humanized | PAD-based | Rodent | NR |
Abila et al72 | 2013 | GSK249320 | Stroke | Myelin-associated glycoprotein | Antagonist | Humanized | NR | Rodent and non-rodent | NR |
Goldwater et al73 | 2013 | ASKP1240 | Transplantation | CD40 | Antagonist | Fully human | MABEL-based | In vitro | 10 |
Hodsman et al74 | 2013 | GSK679586 | Immunology (asthma) | IL13 | Antagonist | Humanized | MABEL-based | In vitro | NR |
Sandhu et al75 | 2013 | CNTO888 (carlumab) | Oncology (solid tumor) | CCL2 | Antagonist | Fully human | NOAEL-based | NR | 50 |
Infante et al76 | 2013 | KRN330 | Oncology (advanced colorectal cancer) | A33 | Antagonist | Fully human | NOAEL-based | Non-human primate | 300 |
Vugmeyster et al77 | 2013 | TAM-163 | Body weight modulation | Tyrosine receptor kinase-B | Agonist | Humanized | MABEL-based | Non-human primate | 400 |
Reilly et al78 | 2013 | OPN-305 | Transplantation | TLR2 | Antagonist | Humanized | NOAEL-based | Rodent and non-rodent | NR |
Zhu et al79 | 2013 | GC33 | Oncology (hepatocellular carcinoma) | Glypican-3 | Antagonist | Humanized | PAD-based | Rodent | NR |
Note:
* The safety factor is a number by which the calculated human equivalence dose is divided to increase the assurance that the first dose will not cause toxicity in humans.2
Abbreviations: CCL2, CC-chemokine ligand 2; CMV, cytomegalovirus; CTLA4, cytotoxic T lymphocyte-associated antigen 4; CTGF, connective tissue growth factor; DR4, TRAIL-R1, tumor necrosis factor (TNF)–related apoptosis-inducing ligand receptor-1; EGFR, epidermal growth factor receptor; HER2, human epidermal growth factor receptor 2; HGF/SF, hepatocyte growth factor/scatter factor; IL6, interleukin-6; IGF1R, insulin like growth factor 1 receptor; GM-CSFR, granulocyte-macrophage colony-stimulating factor receptor; IL2R, interleukin 2 receptor; LPS, lipopolysaccharide; MABEL, minimal anticipated biological effect level; MED, minimum effective dose; MRSD, maximum recommended starting dose; NOAEL, no observed adverse effects level; NR, not reported; PAD, pharmacologically active dose; PD, pharmacodynamics; PSCA, prostate stem cell antigen; PCSK9, proprotein convertase subtilisin/kexin 9; PIGF, placental growth factor; RANKL, RANK ligand; Stx2, Shiga toxin type 2; TRAIL-R2, tumor necrosis factor-related apoptosis-inducing ligand receptor-2; TLR2, toll-like receptor 2; VEGF, vascular endothelial growth factor; VEGFR2, vascular endothelial growth factor receptor-2.
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The authors thank the members of the Department of Clinical Pharmacology and Therapeutics, College of Medicine, Seoul National University Hospital. Particular thanks goes to Dr In-Jin Jang for providing helpful comments and suggestions. This work was partly supported by the Education and Research Encouragement Fund of Seoul National University Hospital.
Disclosure
The authors report no conflicts of interest in this work.
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