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Incorporating Clinical Biomarkers into Clinical Trials

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Part of the book series: AAPS Advances in the Pharmaceutical Sciences Series ((AAPS,volume 21))

Abstract

Clinical trials are required for testing the safety and efficacy of new drugs produced by the pharmaceutical industry. These trials also serve to provide information on clinical and survival benefits, prediction of treatment responses, identification of patient subpopulations that will benefit from the drug, and many other important aspects of treatment. Clinical biomarkers are essential tools in these trials that enable these different aspects to be evaluated and defined. However, the incorporation of biomarkers into clinical trials requires a knowledge base that includes understanding the different types of clinical biomarkers, selection of the best biomarkers for the trial, best sample handling and processing practices for the biomarker, validation planning, selection of the best technology platform, and selection of the best laboratory to perform the analysis. This chapter provides an overview of how clinical biomarkers are used in clinical trials and discusses the different aspects of incorporating them into clinical trials.

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Abbreviations

Biomarker :

A characteristic that is objectively measured and evaluated as an indicator of normal biologic processes, pathogenic processes, or pharmacologic responses to a therapeutic intervention

Clinical trial :

Research-based studies involving human volunteers that are assigned to receive one or more interventions so that researchers can evaluate the effects of the interventions on biomedical or health-related outcomes

Validation :

Confirmation through laboratory testing that the performance characteristics of an assay are suitable and reliable for its intended analytical use

Critical reagent :

Reagents such as antibodies, oligonucleotides, enzymes, or fluorescent molecules that are integral parts of an assay that influence assay performance or quality

References

  1. Atkinson AJ, Colburn WA, DeGruttola VG, DeMets DL, Downing GJ, Hoth DF, Oates JA, Peck CC, Schooley RT, Spilker BA, Woodcock J, Zeger SL (2001) Biomarkers and surrogate endpoints: preferred definitions and conceptual framework. Clin Pharmacol Ther 69(3):89–95

    Article  Google Scholar 

  2. Dancey JE, Dobbin KK, Groshen S, Jessup JM, Hruszkewycz AH, Koehler M, Parchment R, Ratain MJ, Shankar LK, Stadler WM, True LD, Gravell A, Grever MR (2010) Guidelines for the development and incorporation of biomarker studies in early clinical trials of novel agents. Clin Cancer Res 16:1745–1755

    Article  CAS  PubMed  Google Scholar 

  3. Lièvre A, Bachet JB, Le Corre D, Boige V, Landi B, Emile JF, Côté JF, Tomasic G, Penna C, Ducreux M, Rougier P, Penault-Llorca F, Laurent-Puig P (2006) KRAS mutation status is predictive of response to cetuximab therapy in colorectal cancer. Cancer Res 66:3992–3995

    Article  PubMed  Google Scholar 

  4. Davies H, Bignell GR, Cox C, Stephens P, Edkins S, Clegg S, Teague J, Woffendin H, Garnett MJ, Bottomley W, Davis N, Dicks E, Ewing R, Floyd Y, Gray K, Hall S, Hawes R, Hughes J, Kosmidou V, Menzies A, Mould C, Parker A, Stevens C, Watt S, Hooper S, Wilson R, Jayatilake H, Gusterson BA, Cooper C, Shipley J, Hargrave D, Pritchard-Jones K, Maitland N, Chenevix-Trench G, Riggins GJ, Bigner DD, Palmieri G, Cossu A, Flanagan A, Nicholson A, Ho JW, Leung SY, Yuen ST, Weber BL, Seigler HF, Darrow TL, Paterson H, Marais R, Marshall CJ, Wooster R, Stratton MR, Futreal PA (2002) Mutations in the BRAF gene in human cancer. Nature 417:949–954

    Article  CAS  PubMed  Google Scholar 

  5. Younes A, Gopal AK, Smith SE, Ansell SM, Rosenblatt JD, Savage KJ, Ramchandren R, Bartlett NL, Cheson BD, de Vos S, Forero-Torres A, Moskowitz CH, Connors JM, Engert A, Larsen EK, Kennedy DA, Sievers EL, Chen R (2012) Results of a pivotal phase II study of brentuximab vedotin for patients with relapsed or refractory Hodgkin’s lymphoma. J Clin Oncol 30(18):2183–2190

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Lanari A, Parnetti L (2009) Cerebrospinal fluid biomarkers and prediction of conversion in patients with mile cognitive impairment: 4-year follow-up in a routine clinical setting. Sci World J 9:961–966

    Article  CAS  Google Scholar 

  7. Mattsson N, Zetterberg H, Hansson O, Andreasen N, Parnetti L, Jonsson M, Herukka SK, van der Flier WM, Blankenstein MA, Ewers M, Rich K, Kaiser E, Verbeek M, Tsolaki M, Mulugeta E, Rosén E, Aarsland D, Visser PJ, Schröder J, Marcusson J, de Leon M, Hampel H, Scheltens P, Pirttilä T, Wallin A, Jönhagen ME, Minthon L, Winblad B, Blennow K (2009) CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. J Am Med Assoc 302:385–393

    Google Scholar 

  8. Kim ES, Herbst RS, Wistuba II, Lee JJ, Blumenschein GR Jr, Tsao A, Stewart DJ, Hicks ME, Erasmus J Jr, Gupta S, Alden CM, Liu S, Tang X, Khuri FR, Tran HT, Johnson BE, Heymach JV, Mao L, Fossella F, Kies MS, Papadimitrakopoulou V, Davis SE, Lippman SM, Hong WK (2011) The BATTLE trial: personalizing therapy for lung cancer. Cancer Discovery 1:44–53 (2011)

    Google Scholar 

  9. Esserman LJ, Berry DA, Cheang MC, Yau C, Perou CM, Carey L, DeMichele A, Gray JW, Conway-Dorsey K, Lenburg ME, Buxton MB, Davis SE, van’t Veer LJ, Hudis C, Chin K, Wolf D, Krontiras H, Montgomery L, Tripathy D, Lehman C, Liu MC, Olopade OI, Rugo HS, Carpenter JT, Livasy C, Dressler L, Chhieng D, Singh B, Mies C, Rabban J, Chen YY, Giri D, Au A, N Hylton (2012) Chemotherapy response and recurrence-free survival in neoadjuvant breast cancer depends on biomarker profiles: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657). Breast Cancer Res Treat 132:1049–4062

    Google Scholar 

  10. Schildberger A, Rossmanith E, Eichhorn T, Strassl K, Weber V (2013) Monocytes, peripheral blood mononuclear cells, and THP-1 cells exhibit different cytokine expression patterns following stimulation with lipopolysaccharide. Mediators Inflamm 2013:1–10

    Article  CAS  Google Scholar 

  11. Schlingemann RO, Van Noorden JF, Diekman MJM, Tiller A, Meijers JCM, Kookwijk P, Wiersinga WM (2013) VEGF levels in plasma in relation to platelet activation, glycemic control, and microvascular complications in type 1 diabetes. Diabetes Care 36(6):1629–1634 (June)

    Google Scholar 

  12. Mallone R, Mannering SI, Brooks-Worrell BM, Durinovic-Bello I, Cilio CM, Wong FS, Schloot NC (2010) Isolation and preservation of peripheral blood mononuclear cells for analysis of islet antigen-reactive T cell responses: position statement of the T-Cell workshop committee of the Immunology of diabetes society. J Transl Immunol 163:33–49

    Google Scholar 

  13. Mueller SC, März R, Schmolz M, Drewelow B (2012) Intraindividual long term stability and response corridors of cytokines in healthy volunteers detected by a standardized whole-blood culture system for bed-side application. BMC Med Res Methodol 12:112–121

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Lee JW, Devanarayan V, Barrett YC, Weiner RS, Allinson J, Fountain S, Keller S, Weinryb I, Green M, Duan L, Rogers JA, Millham R, O’Brian PJ, Sailstad J, Khan M, Ray C, Wagner JA (2006) Fit-for-purpose method development and validation for successful biomarker measurement. Pharm Res 23(2):312–328

    Article  CAS  PubMed  Google Scholar 

  15. O’Hara DM, Theobald V, Egan AC, Usansky J, Krishna M, TerWee J, Maia M, Spriggs FP, Kenney J, Safavi A, Keefe J (2012) Ligand binding assays in the 21st century laboratory: recommendations for characterization and supply of critical reagents. AAPS J 14(2):316–328

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Geist BJ, Egan AC, Yang T, Dong Y, Shankar G (2013) Characterization of critical reagents in ligand-binding assays: enabling robust bioanalytical methods and lifecycle management. Bioanalysis 5(2):227–244

    Article  CAS  PubMed  Google Scholar 

  17. Khan M, Bowsher R, Cameron M, Devanarayan V, Keller S, King L, Lee J, Morimoto A, Rhyne P, Stephen L, Wu Y, Wyant T, Lachno R (2015) Recommendations for adaptation and validation of commercial kits for biomarker quantification in drug development. Bioanalysis 7(2):229–242

    Google Scholar 

Website References

  1. www.clinicaltrials.gov/ct2/about-studies/glossary#interventional-study

  2. www.fda.gov/scienceresearch/specialtopics/runningclinicaltrials

  3. www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/cfrsearch.cfm?cfrpart=58

  4. www.cdc.gov/clia

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Correspondence to Paul W. Rhyne .

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© 2016 American Association of Pharmaceutical Scientists

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Rhyne, P.W. (2016). Incorporating Clinical Biomarkers into Clinical Trials. In: Weiner, R., Kelley, M. (eds) Translating Molecular Biomarkers into Clinical Assays . AAPS Advances in the Pharmaceutical Sciences Series, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-319-40793-7_6

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