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Record W2787423031 · doi:10.1136/esmoopen-2017-000319

Extrapolation concept at work with biosimilar: a decade of experience in oncology

2018· article· en· W2787423031 on OpenAlex

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A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueESMO Open · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsnot available
Fundersnot available
KeywordsBiosimilarExtrapolationWork (physics)Medical physicsComputer scienceOncologyData scienceMedicineMedical educationInternal medicineMathematicsStatisticsEngineering

Abstract

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Early in 2017, The European Society for Medical Oncology (ESMO) published a position paper on biosimilars for oncology prescribers.1.Tabernero J. Vyas M. Giuliani R. et al.Biosimilars: a position paper of the european society for medical oncology, with particular reference to oncology prescribers.ESMO Open. 2016; 1: e000142doi:10.1136/esmoopen-2016-000142Abstract Full Text Full Text PDF PubMed Scopus (97) Google Scholar Since then, both the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have approved biosimilar versions of monoclonal antibodies (mAbs) used for the treatment of several cancer types (eg, rituximab in Europe, bevacizumab and trastuzumab in the USA).2.US Food and Drug Administration Biosimilar product information. 2017; (accessed 14 Dec 2017)https://www.fda.gov/Drugs/DevelopmentApprovalProcess/HowDrugsareDevelopedandApproved/ApprovalApplications/TherapeuticBiologicApplications/Biosimilars/ucm580432.htmGoogle Scholar, 3.European Medicines Agency European public assessment reports. 2017; (accessed 14 Dec 2017)http://www.ema.europa.eu/ema/index.jsp?searchType=name&taxonomyPath=&keyword=Enter+keywords&alreadyLoaded=true&curl=pages%2Fmedicines%2Flanding%2Fepar_search.jsp&status=Authorised&mid=WC0b01ac058001d124&searchGenericType=biosimilars&treeNumber=&searchTab=searchByAuthType&pageNo=2Google Scholar The ESMO position paper was rightly welcomed as a timely addition to the discussion around this important topic.4.Schiestl M. Krendyukov A. The ESMO position paper on biosimilars in oncology: enhancing the provision of accurate education and information.ESMO Open. 2017; 2: e000245doi:10.1136/esmoopen-2017-000245Abstract Full Text Full Text PDF PubMed Scopus (8) Google Scholar The position paper correctly highlighted the importance of accurate information about biosimilars if misconceptions and misunderstanding are to be avoided among oncologists and other stakeholders.1.Tabernero J. Vyas M. Giuliani R. et al.Biosimilars: a position paper of the european society for medical oncology, with particular reference to oncology prescribers.ESMO Open. 2016; 1: e000142doi:10.1136/esmoopen-2016-000142Abstract Full Text Full Text PDF PubMed Scopus (97) Google Scholar It is encouraging that ESMO has continued on this mission to provide information and education; special sessions on biosimilars were incorporated into the main programmes for both the ESMO and ESMO Asia congresses in 2017, and the organisation has been represented at several other important meetings (including the 15th Biosimilar Medicines Conference). They also launched a survey on awareness of biosimilars among oncologists in 2017, the results of which are eagerly awaited. Extrapolation is arguably the part of the biosimilar concept that is most commonly misunderstood. It is defined as the authorisation of a biosimilar medicine for clinical indications of the reference medicine without the need to conduct clinical trials of the biosimilar medicine in those indications.5.Weise M. Bielsky M.C. De Smet K. et al.Biosimilars: what clinicians should know.Blood. 2012; 120: 5111-5117doi:10.1182/blood-2012-04-425744Crossref PubMed Scopus (288) Google Scholar, 6.Weise M. Kurki P. Wolff-Holz E. et al.Biosimilars: the science of extrapolation.Blood. 2014; 124: 3191-3196doi:10.1182/blood-2014-06-583617Crossref PubMed Scopus (249) Google Scholar Knowledge and understanding of extrapolation among oncologists is increasingly important given the introduction of biosimilar mAbs for the treatment of various cancers.6.Weise M. Kurki P. Wolff-Holz E. et al.Biosimilars: the science of extrapolation.Blood. 2014; 124: 3191-3196doi:10.1182/blood-2014-06-583617Crossref PubMed Scopus (249) Google Scholar Key to understanding the concept is an awareness that extrapolation is a well-established regulatory and scientific principle that has been in use for many years, even before the advent of biosimilar medicines.6.Weise M. Kurki P. Wolff-Holz E. et al.Biosimilars: the science of extrapolation.Blood. 2014; 124: 3191-3196doi:10.1182/blood-2014-06-583617Crossref PubMed Scopus (249) Google Scholar For example, the principle of extrapolation is applied following major changes in the manufacturing process of a biologic medicine. In such cases, the manufacturer is required (by regulatory authorities such as the US FDA and EMA) to conduct a thorough comparability exercise to establish that the premanufacturing and postmanufacturing change biologic medicines are sufficiently similar to allow continued authorisation. Clinical data (which are required in rare instances when the analytical comparison reveals differences that could potentially lead to different clinical properties7.ICH Harmonised Tripartite Guideline Comparability of biotechnological/biological products subject to changes in their manufacturing process Q5E. 2004; (accessed 14 Dec 2017)http://www.ich.org/fileadmin/Public_Web_Site/ICH_Products/Guidelines/Quality/Q5E/Step4/Q5E_Guideline.pdfGoogle Scholar) are usually generated in one indication and extrapolated to the other indications, taking account of all data generated from the comparability exercise.6.Weise M. Kurki P. Wolff-Holz E. et al.Biosimilars: the science of extrapolation.Blood. 2014; 124: 3191-3196doi:10.1182/blood-2014-06-583617Crossref PubMed Scopus (249) Google Scholar The same considerations apply to the comparability exercise for demonstrating biosimilarity; from regulatory and scientific viewpoints, the active substance of a biosimilar is just another version of the active substance of the reference medicine.6.Weise M. Kurki P. Wolff-Holz E. et al.Biosimilars: the science of extrapolation.Blood. 2014; 124: 3191-3196doi:10.1182/blood-2014-06-583617Crossref PubMed Scopus (249) Google Scholar, 8.Kurki P. van Aerts L. Wolff-Holz E. et al.Interchangeability of biosimilars: a european perspective.BioDrugs. 2017; 31: 83-91doi:10.1007/s40259-017-0210-0Crossref PubMed Scopus (132) Google Scholar Potential misconceptions around extrapolation may also arise from the term itself. In mathematical terms, extrapolation refers to the projection of unknown values from trends in known data. However, when applied to biosimilar medicines, extrapolation is based on the knowledge (from the thorough analytical comparability exercise) that the biosimilar medicine matches the reference medicine in all critical quality attributes. Health Canada recently acknowledged this problem with terminology and consequently deleted the term ‘extrapolation’ in the last update of their biosimilar guideline in 2016. They instead describe what is meant exactly, namely the authorisation of indications for the biosimilar.9.Health Canada Guidance, information and submission requirements for biosimilar biologic drugs. 2016; (accessed 14 Dec 2017)https://www.canada.ca/content/dam/hc-sc/migration/hc-sc/dhp-mps/alt_formats/pdf/brgtherap/applic-demande/guides/seb-pbu/seb-pbu-2016-eng.pdfGoogle Scholar The clinical development programme for any biosimilar medicine, including biosimilar mAbs, will typically include a phase III confirmatory clinical study. Regulatory guidelines dictate that this study should be conducted in a sensitive indication, that is, one in which clinically relevant differences in safety (including immunogenicity) and effectiveness would be detected if present.10.European Medicines Agency Guideline on similar biological medicinal products containing biotechnology-derived proteins as active substance: non-clinical and clinical issues. 2014; (accessed 14 Dec 2017)http://www.ema.europa.eu/docs/en_GB/document_library/Scientific_guideline/2015/01/WC500180219.pdfGoogle Scholar, 11.US Food and Drug Administration Scientific considerations in demonstrating biosimilarity to a reference product guidance for industry. 2015; (accessed 14 Dec 2017)https://www.fda.gov/downloads/Drugs/GuidanceComplianceRegulatoryInformation/Guidances/UCM291128.pdfGoogle Scholar Sensitive indications typically have a large effect size for the chosen end point (to enable detection of even small differences in efficacy), and involve a patient population that is immunocompetent (so that detection of relevant differences in immunogenicity is possible). The subject of sensitive indications may be another contributory factor to misunderstanding around extrapolation. Taking proposed biosimilar mAbs for breast cancer as an example, there has been debate about whether the neoadjuvant or metastatic setting is more appropriate as a sensitive indication.12.Jackisch C. Scappaticci F.A. Heinzmann D. et al.Neoadjuvant breast cancer treatment as a sensitive setting for trastuzumab biosimilar development and extrapolation.Future Oncol. 2015; 11: 61-71doi:10.2217/fon.14.187Crossref PubMed Scopus (31) Google Scholar, 13.Cortés J. Curigliano G. Diéras V. Expert perspectives on biosimilar monoclonal antibodies in breast cancer.Breast Cancer Res Treat. 2014; 144: 233-239doi:10.1007/s10549-014-2879-9Crossref PubMed Scopus (46) Google Scholar In reality, there may not be one indication that is categorically the most sensitive, and the decision will be based on discussions with regulatory authorities within scientific advice procedures. Indeed, phase III confirmatory studies for proposed biosimilar trastuzumabs currently in development are being conducted in different indications.14.Rugo H.S. Barve A. Waller C.F. et al.Effect of a proposed trastuzumab biosimilar compared with trastuzumab on overall response rate in patients with ERBB2 (HER2)-positive metastatic breast cancer: a randomized clinical trial.JAMA. 2017; 317: 37-47doi:10.1001/jama.2016.18305Crossref PubMed Scopus (112) Google Scholar, 15.Stebbing J. Baranau Y. Baryash V. et al.CT-P6 compared with reference trastuzumab for HER2-positive breast cancer: a randomised, double-blind, active-controlled, phase 3 equivalence trial.Lancet Oncol. 2017; 18: 917-928doi:10.1016/S1470-2045(17)30434-5Abstract Full Text Full Text PDF PubMed Scopus (85) Google Scholar It is important to understand that extrapolation is from the reference to the biosimilar medicine (ie, molecule to molecule) and not from one indication in which the biosimilar medicine has been studied to other indications. Each extrapolated indication must be justified scientifically and is assessed separately by regulators, who will approve or reject the indication based on this assessment. Factors considered include clinical experience with the reference biologic, the mechanism of action and target receptors involved, any differences in safety or immunogenicity between indications (including patient-related and disease-related factors), and the extent to which functional parts of the molecule can be analytically compared and analysed.6.Weise M. Kurki P. Wolff-Holz E. et al.Biosimilars: the science of extrapolation.Blood. 2014; 124: 3191-3196doi:10.1182/blood-2014-06-583617Crossref PubMed Scopus (249) Google Scholar It is now a decade since biosimilar filgrastims were approved for use by EMA. In the example of Zarzio (Sandoz), the confirmatory study was conducted in patients with breast cancer who had chemotherapy-induced neutropenia (CIN), with other indications granted on the basis of extrapolation.16.Gascón P. Tesch H. Verpoort K. et al.Clinical experience with Zarzio® in Europe: what have we learned?.Support Care Cancer. 2013; 21: 2925-2932doi:10.1007/s00520-013-1911-7Crossref PubMed Scopus (84) Google Scholar Since then, generated data and clinical experience have demonstrated the safety and effectiveness of Zarzio in patients with other tumour types who have CIN,16.Gascón P. Tesch H. Verpoort K. et al.Clinical experience with Zarzio® in Europe: what have we learned?.Support Care Cancer. 2013; 21: 2925-2932doi:10.1007/s00520-013-1911-7Crossref PubMed Scopus (84) Google Scholar, 17.Botteri E. Krendyukov A. Curigliano G. Comparing granulocyte colony-stimulating factor filgrastim and pegfilgrastim to its biosimilars in terms of efficacy and safety: a meta-analysis of randomised clinical trials in breast cancer patients.Eur J Cancer. 2018; 89: 49-55doi:10.1016/j.ejca.2017.10.034Abstract Full Text Full Text PDF PubMed Scopus (18) Google Scholar, 18.Gascón P. Krendyukov A. Höbel N. et al.MONITOR-GCSF DLBCL subanalysis: Treatment patterns/outcomes with biosimilar filgrastim for chemotherapy-induced/febrile neutropenia prophylaxis.Eur J Haematol. 2017; doi:10.1111/ejh.13002PubMed Google Scholar, 19.Gascón P. Aapro M. Ludwig H. et al.Treatment patterns and outcomes in the prophylaxis of chemotherapy-induced (febrile) neutropenia with biosimilar filgrastim (the MONITOR-GCSF study).Support Care Cancer. 2016; 24: 911-925doi:10.1007/s00520-015-2861-zCrossref PubMed Scopus (56) Google Scholar and also other extrapolated indications such as stem cell mobilisation.20.Lefrère F. Brignier A.C. Elie C. et al.First experience of autologous peripheral blood stem cell mobilization with biosimilar granulocyte colony-stimulating factor.Adv Ther. 2011; 28: 304-310doi:10.1007/s12325-011-0009-1Crossref PubMed Scopus (51) Google Scholar, 21.Becker P. Schwebig A. Brauninger S. et al.Healthy donor hematopoietic stem cell mobilization with biosimilar granulocyte-colony-stimulating factor: safety, efficacy, and graft performance.Transfusion. 2016; 56: 3055-3064doi:10.1111/trf.13853Crossref PubMed Scopus (22) Google Scholar, 22.Schmitt M. Hoffmann J.M. Lorenz K. et al.Mobilization of autologous and allogeneic peripheral blood stem cells for transplantation in haematological malignancies using biosimilar G-CSF.Vox Sang. 2016; 111: 178-186doi:10.1111/vox.12397Crossref PubMed Scopus (22) Google Scholar, 23.Schmitt M. Publicover A. Orchard K.H. et al.Biosimilar G-CSF based mobilization of peripheral blood hematopoietic stem cells for autologous and allogeneic stem cell transplantation.Theranostics. 2014; 4: 280-289doi:10.7150/thno.7752Crossref PubMed Scopus (41) Google Scholar This experience indicates extrapolation successfully at work. It may also reassure oncologists that the concept of extrapolation is based on sound scientific principles. ESMO is to be applauded for participating in the important discussions on biosimilar medicines in oncology, and for the initiatives undertaken in 2017 to provide accurate information and education on the subject. We welcome their continued involvement, and look forward to further position papers and initiatives on extrapolation and other important aspects of the biosimilarity concept.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.381
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it