| Literature DB >> 25450254 |
Meenu Wadhwa1, Chris Bird2, Thomas Dougall3, Peter Rigsby3, Adrian Bristow4, Robin Thorpe2.
Abstract
We assessed the feasibility of developing a suitable international reference standard for determination of in vitro biological activity of human sequence recombinant PEG-G-CSF products with a 20kD linear PEG linked to the N-terminal methionyl residue of G-CSF (INN Filgrastim), produced using a conjugation process and coupling chemistry similar to that employed for the lead PEGfilgrastim product. Based on initial data which showed that the current WHO 2nd international standard, IS for G-CSF (09/136) or alternatively, a PEG-G-CSF standard with a unitage traceable to the G-CSF IS may potentially serve as the IS for PEG-G-CSF products, two candidate preparations of PEG-G-CSF were formulated and lyophilized at NIBSC. These preparations were tested by 23 laboratories using in vitro bioassays in a multi-centre collaborative study. Results indicated that on the basis of parallelism, the current WHO 2nd IS for G-CSF or any of the PEG-G-CSF samples could be used as the international standard for PEG-G-CSF preparations. However, because of the variability in potency estimates seen when PEG-G-CSF preparations were compared with the current WHO 2nd IS for G-CSF, a candidate PEG-G-CSF was suitable as the WHO IS. The preparation 12/188 was judged suitable to serve as the WHO IS based on in vitro biological activity data. Therefore, the preparation coded 12/188 was established by the WHO Expert Committee on Biological Standardization (ECBS) in 2013 as the WHO 1st IS for human PEGylated G-CSF with an assigned in vitro bioactivity of 10,000IU per ampoule. CrownEntities:
Keywords: Biological activity; Biosimilar; International standard; Modified G-CSF
Mesh:
Substances:
Year: 2014 PMID: 25450254 PMCID: PMC4334095 DOI: 10.1016/j.jim.2014.10.005
Source DB: PubMed Journal: J Immunol Methods ISSN: 0022-1759 Impact factor: 2.303
Fig. 1Comparison of PEG-G-CSF preparations (S, V and Z) relative to the current IS for G-CSF (09/136) using the GNFS-60 cell-line.
Materials used in study.
| Ampoule code | Fill date | Study code | No. of ampoules in stock | Protein | Protein | Expression system | Excipients |
|---|---|---|---|---|---|---|---|
| 12/222 | 1/11/12 | B, C | 4700 | PEG-G-CSF | 1 | Trehalose, | |
| 12/188 | 13/9/12 | A | 4700 ~ | PEG-G-CSF | 1 | ||
| 09/136 | 2/07/09 | 2nd IS G-CSF | 3400 ~ | G-CSF | 1 |
List of participants.
| The following participants contributed data to the study. In this report, each laboratory has been identified by a number from 1 to 24 that is not related to this order of listing. |
| Xinchang Shi and Rao Chunming, Division of Biopharmaceuticals, National Institutes for Food and Drug Control (NIFDC), 2 Tiantan Xili, Beijing 100050, P.R. China |
| Till Koenig, Novartis Pharma AG,WKL-681.3.05, 4002 Basel, Switzerland |
| Beate Hartung and Sonja Klingelhoefer, Biological Assays, Richter-Helm-Biologics, Suhrenkamp 59, D-22335 Hamburg, Germany |
| Taina Cruz, Amgen Manufacturing Limited, Road 31 Km 24.6, Juncos, PR 00777-4060, Puerto Rico |
| Chris Bird, Cytokines and Growth Factors Section, Biotherapeutics Group, NIBSC, South Mimms, Herts, EN6 3QG, UK |
| Meihua Yang and Zeng Yan, Xiamen Amoytop Biotech Co. Ltd, No. 330, Wengjiao Road, Haicang, Xiamen, Fujian, P.R. China, 361022 |
| Andrea López, Federico Parnizari, Control calidad biológico, Laboratorios Clausen S.A., Bv. Artigas 3896, Montevideo CP 11700, Uruguay |
| Cecilia Medrano, Bioch., Head of Quality Control, Gema Biotech S.A., Fray Justo Sarmiento 2350 edificio 2B 5 piso B1636AXK, Olivos, Buenos Aires, Argentina |
| Dong-Yeon Kim, Chankyu Lee, Bio Engineering Lab., Chong Kun Dang Pharm., 464-3, Jung-dong, Yongin Si Giheung-gu, Gyeonggi-Do, Seoul 446-916, Rep. of Korea |
| MN Dixit, Manjunath Patil, Bioanalytical Laboratory, 3rd Floor Clinigene International Limited, Clinigene House, Electronics City, Phase 2, Bangalore 560100, India |
| Zeljka Antolvic, Ela Kosor Krnic, Hospira Zagreb d.o.o., Prudnicka cesta 60,10291 Prigorje Brdovecko, Croatia |
| Subba Raju BV, Sahana S, Shridhar Bagal, Amit Inchal, Quality control-QC-Q8, B1 block, Biocon Limited, Biocon Park, Jigani Link Road, Plot 2, 3 & 4 Bommasandra IV Phase, Bangalore 560 099, India |
| Himanshu Gadgil, Intas Biopharmaceuticals Ltd., Plot No. 423/P/A, Sarkhej-Bavla Highway, Village-Moraiya, Taluka – Sanand, Ahmedabad 382213, Gujarat, India |
| Susobhan Das, Biologics & Biotechnology Division, United States Pharmacopeia-India (P) Ltd, Plot No. D6 & D8, IKP Knowledge Park, Genome Valley, Shameerpet, Hyderabad 500078, RR District, Andhra Pradesh, India |
| Veena Raiker and Alok Sharma, Research and Development, Lupin Ltd, Biotech Division, Gat #1156, Ghotawade Village, Mulshi Taluka, Pune 412 115, Maharashtra, India |
| Renu Jain and Shalini Tewari, Recombinant Product Laboratory, National Institute of Biologicals, A-32, Sector 62 (Institutional Area), NOIDA 201 307, Uttar Pradesh, India |
| Sridevi Khambhampaty, Manish Reddy, Biologics Development Centre, Dr Reddy's Laboratories, Survey No: 47, Bachupally, Qutubullapur, RR Dist 500090, Andhra Pradesh, India |
| Sanjay Bandyopadhyay, Zydus Research Centre, Biotech Division, Cadila Healthcare Ltd., |
| Sarkhej-Bavla N. H. 8A, Moraiya. Tal: Sanand, Ahmedabad 380015, Gujarat, India |
| Kwanyub Kang, Mogam biotechnology research institute, Greencross Corp., 341 Bojeong-dong, Giheung-gu, Yongin, 446-799, Rep. of Korea |
| Michael Ambrose, US Pharmacopeia, 12601 Twinbrook Parkway, Rockville, MD 20852, USA |
| Swarnendu Kaviraj, Analytical Development, Vaccine Formulation and Research Center, |
| Gennova Biopharmaceuticals Ltd, BTS 2 Building Chrysalis Enclave Block 2, International Biotech Park, I.T.B.T. Park Phase II Hinjewadi MIDC, Pune, Maharashtra 411057, India |
| Zhang Xuan, Tianjin PEGylatt Biotechnology Co.,Ltd., Lab Buiding N1801, International Joint Academy Of Biotechnology & Medicine, 220 Dongting Road, TEDA, Tianjin, P.R. China, 300457 |
| Mr Yanzhuo Wu, Technology Center, Beijing SL Pharmaceutical Co., Ltd, No.69, Fushi Road, Haidian District, Beijing, P.R. China |
Brief details of bioassays contributed to the study.
| laboratory Code | Bioassay cell line** | Assay type | Assay duration (h) | Assay readout |
|---|---|---|---|---|
| 1 | MNFS-60 | Proliferation | 24 | Luminescence (cell-titer Glo) |
| 2 | NFS-60 | Proliferation | 34–38 | Colorimetric (MTS) |
| 3 | G- CSFRLuc | Reporter-gene | 3–4 | Luminescence (luciferase) |
| 4 | NFS-60 | Proliferation | 26–30 | Fluorescence (Alamar Blue) |
| 5 | NFS-60 | Proliferation | 40–48 | Colorimetric (MTT) |
| 6 | GNFS-60 | Proliferation | 48 | 3H Thymidine |
| 7 | NFS-60 | Proliferation | 48 | Colorimetric (MTS) |
| 8 | NFS-60 | Proliferation | 48 | Colorimetric (Cell Titer96 Aqueous One, MTS) |
| 9 | MNFS-60 | Proliferation | 44 | Colorimetric (WST-1) |
| 10 | MNFS-60 | Proliferation | 44–48 | Colorimetric (Cell Titer96 Aqueous One, MTS) |
| 11 | MNFS-60 | Proliferation | 40–44 | Fluorescence (Alamar Blue) |
| 12 | MNFS-60 | Proliferation | 44 | Colorimetric (MTS) |
| 13 | MNFS-60 | Proliferation | 42–44 | Fluorescence (Alamar Blue) |
| 14 | MNFS-60 | Proliferation | 48 | Colorimetric (MTS) |
| 15 | MNFS-60 | Proliferation | 44 | Luminescence (Cell-titer Glo) |
| 16 | NFS-60 | Proliferation | 20–22 | Colorimetric (MTT) |
| 18 | NFS-60 | Proliferation | 48 | Colorimetric (MTS) |
| 19 | MNFS-60 | Proliferation | 44 | Colorimetric (MTS) |
| 20 | MNFS-60 | Proliferation | 28–32 | Luminescence (Cell-titer Glo) |
| 21 | NFS-60 | Proliferation | 48 | Colorimetric (MTT) |
| 22 | NFS-60 | Proliferation | 48 | Colorimetric (MTT) |
| 23 | MNFS-60 | Proliferation | 44 | Colorimetric (MTS) |
| 24 | MNFS-60 | Proliferation | 48 | Colorimetric (Cell Titer96 Aqueous One, MTS) |
Potencies of samples A, B and C relative to IS 09/136.
| Lab | Sample A | Sample B | Sample C | ||||||
|---|---|---|---|---|---|---|---|---|---|
| GM | GCV | n | GM | GCV | n | GM | GCV | n | |
| 1 | 0.24 | 10.0 | 8 | 0.23 | 5.0 | 7 | 0.23 | 17.4 | 8 |
| 2 | 0.66 | 14.3 | 12 | 0.71 | 15.9 | 11 | 0.71 | 10.4 | 12 |
| 3 | 0.55 | 21.7 | 9 | 0.53 | 16.3 | 9 | 0.61 | 13.7 | 9 |
| 4 | 0.33 | 8.0 | 12 | 0.32 | 9.9 | 12 | 0.32 | 8.4 | 16 |
| 5 | 1.00 | 14.4 | 6 | 0.96 | 10.4 | 6 | 0.95 | 7.0 | 4 |
| 6 | 0.39 | 13.2 | 14 | 0.36 | 17.8 | 14 | 0.38 | 17.5 | 15 |
| 7 | 0.85 | 22.9 | 7 | 0.90 | 22.9 | 4 | 0.95 | . | 2 |
| 8 | 1.39 | 19.4 | 8 | 1.28 | 9.1 | 6 | 1.27 | 20.9 | 8 |
| 9 | 0.38 | 27.5 | 5 | 0.31 | 27.0 | 3 | 0.39 | 20.4 | 6 |
| 10 | 0.26 | 14.0 | 8 | 0.25 | 9.8 | 9 | 0.24 | 13.6 | 8 |
| 11 | 0.36 | 14.4 | 11 | 0.34 | 18.6 | 11 | 0.35 | 11.9 | 11 |
| 12 | 0.40 | 10.5 | 4 | 0.38 | 7.8 | 6 | 0.38 | 12.8 | 9 |
| 13 | 0.27 | 11.2 | 17 | 0.25 | 17.2 | 16 | 0.26 | 13.1 | 17 |
| 14 | 0.37 | 16.6 | 9 | 0.40 | 21.9 | 8 | 0.39 | 13.8 | 11 |
| 15 | 0.24 | 7.3 | 9 | 0.22 | 9.6 | 9 | 0.23 | 7.9 | 12 |
| 16 | 0.36 | 40.9 | 3 | 0.45 | 36.0 | 3 | 0.36 | 44.5 | 4 |
| 18 | 1.09 | 25.2 | 8 | 1.02 | 37.8 | 8 | 1.00 | 33.8 | 8 |
| 19 | 0.41 | 12.3 | 6 | 0.34 | 35.4 | 7 | 0.29 | 3.0 | 3 |
| 20 | 0.30 | 18.7 | 8 | 0.26 | 23.9 | 9 | 0.28 | 23.3 | 9 |
| 21 | 1.08 | 63.4 | 4 | 1.30 | 67.6 | 5 | 1.40 | 44.3 | 8 |
| 22 | 1.33 | . | 1 | 2.15 | . | 1 | 1.44 | . | 1 |
| 23 | 0.35 | 44.6 | 7 | 0.26 | 24.9 | 5 | 0.36 | 46.3 | 6 |
| 24 | 0.58 | 19.0 | 8 | 0.61 | 18.9 | 6 | 0.59 | 15.5 | 6 |
| GM | 0.49 | 0.48 | 0.48 | ||||||
| Between-lab GCV | 76.0 | 92.6 | 83.3 | ||||||
| GM | 0.44 | 0.42 | 0.43 | ||||||
| GM | 0.35 | 0.32 | 0.34 | ||||||
| Between-lab GCV | 30.2 | 34.8 | 34.8 | ||||||
| GM | 0.34 | 0.32 | 0.33 | ||||||
GM — geometric mean.
CI — confidence interval.
GCV — geometric coefficient of variation (%).
n — number of estimates used in calculation.
Calculated as geometric mean of all individual assay estimates.
Excludes laboratories 2, 5, 7, 8, 16, 18, 21 and 22.
Fig. 2Laboratory mean potencies of samples A, B and C relative to the current IS for G-CSF (09/136).
Relative potencies of samples A, B and C.
| B relative to A | C relative to A | C relative to B | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Lab | GM | GCV | n | GM | GCV | n | GM | GCV | n |
| 1 | 0.99 | 8.1 | 9 | 0.98 | 16.7 | 9 | 0.99 | 14.7 | 9 |
| 2 | 1.08 | 11.7 | 11 | 1.07 | 14.9 | 11 | 1.00 | 10.8 | 11 |
| 3 | 0.97 | 8.6 | 9 | 1.10 | 24.1 | 9 | 1.14 | 16.5 | 9 |
| 4 | 0.97 | 8.6 | 12 | 0.97 | 7.3 | 12 | 1.00 | 8.2 | 12 |
| 5 | 0.97 | 6.1 | 9 | 0.99 | 7.4 | 9 | 1.03 | 5.5 | 9 |
| 6 | 0.96 | 13.6 | 20 | 1.00 | 14.5 | 20 | 1.01 | 12.9 | 12 |
| 7 | 0.99 | 25.4 | 8 | 1.08 | 28.7 | 7 | 1.14 | 38.6 | 9 |
| 8 | 0.92 | 31.8 | 8 | 0.86 | 21.8 | 8 | 1.09 | 11.9 | 8 |
| 9 | 0.99 | 26.9 | 6 | 1.07 | 17.9 | 6 | 0.96 | 35.8 | 4 |
| 10 | 0.98 | 8.6 | 9 | 0.94 | 12.7 | 9 | 0.96 | 11.0 | 9 |
| 11 | 1.00 | 9.9 | 11 | 0.99 | 12.1 | 12 | 0.99 | 12.3 | 11 |
| 12 | 1.00 | 11.1 | 8 | 1.00 | 8.7 | 8 | 1.04 | 8.7 | 9 |
| 13 | 0.92 | 16.0 | 18 | 0.96 | 8.7 | 18 | 1.05 | 12.8 | 18 |
| 14 | 1.06 | 13.4 | 9 | 1.10 | 8.0 | 9 | 1.04 | 17.0 | 9 |
| 15 | 0.89 | 5.6 | 9 | 0.96 | 3.2 | 9 | 1.08 | 4.2 | 9 |
| 16 | 1.24 | 55.4 | 3 | 1.17 | 13.3 | 3 | 0.94 | 39.5 | 3 |
| 18 | 0.95 | 22.6 | 9 | 0.96 | 14.0 | 7 | 1.05 | 15.9 | 8 |
| 19 | 0.90 | 37.8 | 9 | 1.07 | 42.4 | 5 | 1.04 | 48.8 | 6 |
| 20 | 0.87 | 27.0 | 12 | 0.95 | 22.8 | 11 | 1.08 | 27.4 | 12 |
| 21 | 0.97 | 28.4 | 6 | 0.98 | 16.9 | 5 | 0.94 | 20.4 | 4 |
| 22 | 1.33 | 33.3 | 3 | 1.27 | 23.2 | 2 | 1.16 | . | 1 |
| 23 | 1.03 | 9.4 | 5 | 1.00 | 6.7 | 6 | 1.00 | 11.2 | 8 |
| 24 | 0.99 | 30.9 | 7 | 1.08 | 14.8 | 9 | 1.09 | 26.7 | 7 |
| GM | 0.99 | 1.02 | |||||||
| Between-lab | |||||||||
| GCV | 10.1 | 8.7 | |||||||
| GM | 0.97 | 1.01 | |||||||
| GM | 0.97 | 1.01 | |||||||
| Between-lab | |||||||||
| GCV | 5.7 | 5.7 | |||||||
| GM | 0.96 | 1.00 | |||||||
GM — geometric mean.
CI — confidence interval.
GCV — geometric coefficient of variation (%).
n — number of estimates used in calculation.
Calculated as geometric mean of all individual assay estimates.
Excludes laboratories 2, 5, 7, 8, 16, 18, 21 and 22.
Fig. 3Laboratory mean potencies of samples B and C relative to A.
Intra-laboratory variability for in-house standards (IH) relative to samples A, B and C.
| IH relative to A | IH relative to B | IH relative to C | ||||
|---|---|---|---|---|---|---|
| Lab | GCV | n | GCV | n | GCV | n |
| 1 | 7.9 | 9 | 12.4 | 9 | 18.5 | 9 |
| 2 | 15.2 | 9 | 23.3 | 7 | 21.9 | 7 |
| 3 | 27.1 | 9 | 30.3 | 9 | 39.7 | 9 |
| 4 | 5.8 | 12 | 9.8 | 12 | 7.8 | 16 |
| 8 | 12.9 | 7 | 20.9 | 7 | 24.0 | 11 |
| 9 | 10.6 | 7 | 38.0 | 5 | 23.9 | 6 |
| 10 | 10.1 | 9 | 10.3 | 9 | 10.6 | 9 |
| 11 | 17.3 | 12 | 15.0 | 10 | 23.1 | 12 |
| 12 | 10.7 | 8 | 6.2 | 7 | 8.8 | 10 |
| 13 | 9.1 | 15 | 11.6 | 16 | 10.7 | 16 |
| 14 | 13.1 | 9 | 11.0 | 8 | 16.8 | 12 |
| 15 | 5.7 | 9 | 9.6 | 9 | 7.8 | 12 |
| 16 | 37.0 | 3 | 21.6 | 3 | 18.6 | 4 |
| 18 | 187.8 | 6 | 168.9 | 7 | 138.7 | 5 |
| 20 | 24.9 | 6 | 29.6 | 5 | 24.9 | 8 |
| 21 | 1 | 24.4 | 2 | 18.7 | 5 | |
| 22 | 1 | 1 | 35.6 | 3 | ||
| 23 | 13.2 | 6 | 10.5 | 8 | 11.6 | 8 |
| 24 | 22.3 | 9 | 36.7 | 7 | 29.4 | 9 |
GCV — geometric coefficient of variation (%).
n — number of estimates used in calculation.
Fig. 4Slope ratios for in-house standards (IH) relative to samples A, B and C as shown in panels a, b and c.
Potency estimates for candidate standard 12/188 stored at elevated temperatures for 7 months relative to ampoules stored at − 70 °C.
| Storage temperature | Potency relative to − 70 °C | |||
|---|---|---|---|---|
| GM | 95% CI | GCV | n | |
| − 20 °C | 1.03 | 0.98–1.09 | 11.0 | 18 |
| + 20 °C | 1.03 | 0.98–1.09 | 10.9 | 18 |
| + 37 °C | 0.99 | 0.95–1.03 | 8.9 | 18 |
| + 45 °C | 1.05 | 1.01–1.09 | 8.3 | 18 |
GM — geometric mean.
CI — confidence interval.
GCV — geometric coefficient of variation (%).
n — number of estimates used in calculation.
Assigning a unitage to the PEG-G-CSF standard.
| Option | Question | Answer | Pros | Cons |
|---|---|---|---|---|
| 1 | Should the unitage be traceable to the IS for G-CSF? | Possible — Study includes 2nd IS for G-CSF but the traceability issue to be determined by statistical analysis of data. If bioassays valid relative to the IS, units can be traceable to G-CSF IS. | Traceable to G-CSF IS | Difficult to ensure similar relationship between the two standards and between PEG-G-CSF products and G-CSF IS |
| 2 | Should the standard be assigned independent units? | Will be determined by statistical analysis of study data as described above. If data relative to G-CSF IS is inappropriate and gives statistically invalid estimates, independent units likely to be assigned. | Usual and easy approach | Risk of disconnection with novel PEG-G-CSF & other modified G-CSF products |
| 3 | Assign independent units and indicate relationship with G-CSF IS | Possible — Study includes 2nd IS for G-CSF. Will be determined by statistical analysis of study data as described above. | Ideal approach — provides an independent unitage as well as a relationship with G-CSF IS (and consequently a link with the parent molecule). |
Fig. 5Comparison of PEG-G-CSF preparations (W–Z) relative to the IS for PEG-G-CSF (coded 12/188) using the GNFS-60 cell-line.