Mutagenic Impurities. Группа авторов. Читать онлайн. Newlib. NEWLIB.NET

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isbn: 9781119551256
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support the assessment (see Barber et al. [19]). Purge assessments are conservative due to the limitation in purge value that can be assigned at each step, whereas in practice the true purge may be far greater. If this can be demonstrated, then the application of an Option 4 approach remains valid. To this effect, nitrite testing during Stage 6 found it was not present above 100 ppm (limit of detection [LoD]), thereby confirming the conservatism within the Stage 5 assessment.

Schematic illustration of candesartan process highlighting the purge-based risk assessment for nitrosamine formation and clearance.

      The de‐risking process described for candesartan was further validated through trace analytical testing for NDMA and NDEA. While no risk of nitrosamine formation was identified within the candesartan synthesis, had the potential for formation been established, the purge principles could have been further exploited to determine the risk of carryover of the nitrosamines themselves into the final API, as any nitrosamine formed would still have the opportunity to be purged and controlled in subsequent stages. In the case of candesartan, a purge assessment of NDMA and NDEA from Stage 5 onward indicates theoretical purge factors of ~10 000 and ~1000, respectively.

      In addition, analytical testing of over 100 batches of candesartan have confirmed the absence of NDMA or NDEA above 5 ppb (LoD), thereby validating the expert theoretical assessment that they could not be formed to a level of concern.

      1 1 Teasdale, A. and Elder, D.E. (2015). Is avoidance of genotoxic intermediates/impurities tenable for complex, multistep syntheses? Org. Process Res. Dev. 19: 1437–1446.

      2 2 Jacobson‐Cram, D. and McGovern, T. (2007). Toxicological overview of impurities in pharmaceutical products. Adv. Drug Deliv. Rev. 59: 38–42.

      3 3 Dobo, K.L., Greene, N., Cyr, M.O. et al. (2006). The application of structure based assessment to support safety and chemistry diligence to manage mutagenic impurities in actives pharmaceutical ingredients during drug development. Regul. Toxicol. Pharmacol.44: 282–293.

      4 4 Pierson, D.A., Olsen, B.A., Robbins, D.K. et al. (2009). Approaches to assessment, testing decisions and analytical determination of mutagenic impurities in drug substances. Org. Process Res. Dev. 13 (2): 285–291.

      5 5 Ames, B.N., Durston, W.E., Yamasaki, E.E., and Lee, F.D. (1973). Carcinogens and mutagens: a simple system combining liver homogenates for activation and bacteria for detection. Proc. Nat. Acad. Sci. USA 72: 2423–2427.

      6 6 ICH Q8 (R2). Pharmaceutical Development. http://www.emea.europa.eu/pdfs/human/ich/51881907enfin.pdf (accessed September 2020).

      7 7 ICH Q9. Quality Risk Management. http://www.emea.europa.eu/Inspections/docs/ICHQ9Step4QRM.pdf (accessed September 2020).

      8 8 ICH Guideline M7 (R1). On Assessment and Control of DNA Reactive (mutagenic) Impurities in Pharmaceuticals to Limit Potential Carcinogenic Risk.

      9 9 ICH Q3a (R2). Impurities in New Drug Substances (Revised Guideline). CPMP/ICH/2737/99.

      10 10 ICH Q3B (R2). Impurities in New Drug products (Revised Guideline). CPMP/ICH/2738/99.

      11 11 Harvey J. A, Fleetwood A, Ogilvie R, Teasdale A, Wilcox A.P and Spanhaak S; Management of organic impurities in small molecule medicinal products: deriving safe limits for use in early development Reg. Tox. Pharmacol.; 2017, 84, 116 to 123.

      12 12 Müller, L., Mauthe, R.J., Riley, C.M. et al. (2006). A rationale for determining, testing and controlling specific impurities in pharmaceuticals that possess potential for mutagenicity. Regul. Toxicol. Pharmacol. 44: 198–211.

      13 13 Bercu, J., Galloway, S.M., Parris, P. et al. (2018). Potential impurities in drug substances: compound‐specific toxicology limits for 20 synthetic reagents and by‐products, and a class‐specific toxicology limit for alkyl bromides. Regul. Toxicol. Pharmacol. 94: 172–182.

      14 14 Teasdale, A., Fenner, S., Ray, A. et al. (2010). A tool for the semiquantitative assessment of potentially genotoxic impurity (PGI) carryover into API using physicochemical parameters and process conditions. Org. Process Res. Dev. 14: 943–945.

      15 15 Teasdale, A., Elder, D., Chang, S.‐J. et al. (2013). Risk assessment of genotoxic impurities in new chemical entities: strategies to demonstrate control. Org. Process Res. Dev. 17: 221–−230.

      16 16 Elder, D.P., Okafo, G., and McGuire, M. (2013). Assessment of predictivity of semiquantitative risk assessment tool: pazopanib hydrochloride genotoxic impurities. Org. Process Res. Dev. 17: 1036–1041.

      17 17 McLaughlin, M., Dermenijan, R.K., Jin, Y. et al. (2015). Evaluation and control of mutagenic impurities in a development compound: purge factor estimates vs measured amounts. Org. Process Res. Dev. 19: 1531–1535.

      18 18 Lapanja, N., Zupančič, B., Toplak Časar, R. et al. (2015). A generic industry approach to demonstrate efficient purification of potential mutagenic impurities in the synthesis of drug substances. Org. Process Res. Dev. 19: 1524–1530.

      19 19 Barber, C., Antonucci, V., Baumann, J.‐C. et al. (2017). A consortium‐driven framework to guide the implementation of ICH M7 option 4 control strategies. Regul. Toxicol. Pharmacol. 90: 22–28.

      20 20 ICH guideline S9 on nonclinical evaluation for anticancer pharmaceuticals. EMA/CHMP/ICH/646107/2008.

      21 21 Boyer T, Choudary B.M, Edwards A.J, et al.; Development of a scalable process for the PPAR‐α agonist GW6415 7X incorporating Baeyer−Villiger chemistry and retrospective ICH M7 assessment Org. Proc. Res. Dev.; 2020, 16 (12), 1927 to 1939.

      22 22 Derek v6.0 (KB 2018v1.1), Lhasa Ltd.

      23 23 Leadscope v2.2.1 (Salmonella V3, E.Coli‐TA102 V1), Leadscope Inc.

      24 24 Sartan medicines: companies to review manufacturing processes to avoid presence of nitrosamine impurities. https://www.ema.europa.eu/en/documents/referral/valsartan‐article‐31‐referral‐sartan‐medicinescompanies‐review‐manufacturing‐processes‐avoid_en.pdf (accessed September 2020).

      Notes

      1 1 The maximum observed PMI level can be designated by several means. These include: (i) by the amount of PMI introduced to the process, (ii) by the amount of PMI measured at a specific stage in the process, (iii) the amount in the process or by a level allowed by an acceptance criterion such as an assay value in an intermediate, or (iv) a hypothetical