Quality Assessments for an Organically-Complex Drug - Part 1 - - PowerPoint PPT Presentation

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Quality Assessments for an Organically-Complex Drug - Part 1 - - PowerPoint PPT Presentation

Quality Assessments for an Organically-Complex Drug - Part 1 Background and the Chemometrics Role Dr Peter Gibson Technical Director Sovereign House, Vision Park, Histon, Cambridge, CB24 9BZ Global leaders in prescription cannabinoid


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Quality Assessments for an Organically-Complex Drug - Part 1 Background and the Chemometrics Role

Dr Peter Gibson

Technical Director Sovereign House, Vision Park, Histon, Cambridge, CB24 9BZ

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Global leaders in prescription cannabinoid medicines Develop pharmaceutical products which address clear unmet medical needs

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Lead Products

Sativex for the treatment of MS Spasticity and Cancer Pain Epidiolex for the treatment

  • f Childhood Epilepsy
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Sativex

  • Oromucosal Spray

– Spasticity in multiple sclerosis – Pain in advanced cancer – Neuropathic pain

  • Approved in 26 countries

– IND in the US

  • Botanical

– extracts from specific Cannabis sativa plants

THC CBD 27mg/ml 25mg/ml

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Regulatory –

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FDA Botanical Guidelines (2004)

  • For Phase III prior to NDA submission:

– Well characterized – Batch-to-batch consistency – Fingerprints based on multiple methods – Qualitatively and quantitatively comparable

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Single Chemical versus Botanical

  • Single Substance

– Single identified active – Full characterisation – Limited number of related substances

  • Botanical

– One or more actives – May not be identified – Wide range of components

mi 10 20 30 40 count s 3600 3800 4000 4200 4400 4600 4800

FID1 A, (CHEMSTOR\3940163\A417843\APB00021.D)

Mono-terpenes Sesqui-terpenes Di-terpenes Tri-terpenes & Waxes Cannabinoids THC

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Process Overview

Botanical Raw Material (BRM) Botanical Drug Substance (BDS) Botanical Drug Product (BDP)

Sativex

THC BRM CBD BRM THC BDS CBD BDS

GACP GMP

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Cannabis Production - Weeks 1 to 3

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Cannabis Production - Weeks 4 to 11

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Cannabis Production - Weeks 4 to 11

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BRM to BDS

Milling Decarboxylation CO2 Extraction Partial Purification Isolation CBD BRM THC BRM CBD BDS THC BDS

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Sativex

Finished Product

BDS to Sativex

Bulk Solution Filling Packaging

CBD BDS THC BDS

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BDS Characterization

Cannabinoids Non-cannabinoids

70 to 75% w/w 25 to 30% w/w

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% w/w

THC 66.97

CBD 0.30 THCA 0.23 CBG 1.00 CBC 1.12 THCV 0.55 THC-C4 0.16 cis-CBG 0.04 CBO 0.09 CBO MEE 0.06 DHC 0.27 Others 0.99

THC BDS – Characterization

% w/w

Non-Cannabinoids

Carotenoids 0.1 Triglycerides 3.8 Sterols 2.5 Terpenes 7.2 Residual Ethanol 1.8 Polar Fraction 1.0 Cannabinoid Esters 0.6 Free Fatty Acids 0.8 Total Cannabinoids 73.0 Total Characterised 90.8

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BDS – Total Components Identified

  • 400 – 500 compounds present in the BDS
  • >90% (w/w) identified
  • Challenge is the other 10%

Well characterized Batch-to-batch consistency Qualitatively and quantitatively comparable

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Specification

  • Quantitative

– 10 cannabinoids – 14 non-cannabinoid components – Class totals

  • Qualitative

– Chromatogram comparison – Routine use of 4 methods

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Qualitative – Compare Chromatograms

THC BDS Batch 1 THC BDS Batch 2 THC BDS Batch 3

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Overview – 4 methods

Sterols & Triterpenes Triglycerides Terpenes Cannabinoids

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QC Process

THC CBD

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Specification – Priority Flow

Quantitative Cannabinoid/Non Cannabinoid Cannabinoid Profile PCA Model Non-Cannabinoid Profiles PCA Models

Ranking in importance

Terpenes Sterols Triglycerides

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Qualitative Evaluation

  • Chromatogram alignment

– Statistical algorithms – Peak Marker sets

  • PCA Model Comparison

– 4 separate assays

  • Scoring System

– Based on 2 outlier diagnostics – Values associated with CI – Primary & secondary scores – PASS, FAIL or WARN

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Model Development

PCA Model

Cannabinoids

Compare new batch Pass/Warn/Fail Pass/Warn/Fail Qualitative Fit of Batch PCA Model

Terpenes

Compare new batch Pass/Warn/Fail PCA Model

Sterols

Compare new batch Pass/Warn/Fail PCA Model

Triglycerides

Compare new batch Pass/Warn/Fail

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Cannabinoids (LC) Sterols (GC) Terpenes (GC) Triglycerides (LC)

THC or CBD or Sativex

Align Signals

CDF CDF CDF CDF CDF CDF CDF CDF

Compare Fingerprint to model

Report Scoresheet

QC Analysis Schema – the Profiler

MD & Q

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Batch Scoring

For MD, Q if metric < 95% cutoff, score = 0 if metric > 95% cutoff, score = 1 if metric > 99% cutoff, score = 3

Cannabinoids

Fail if (primary) score >= 3 Warn if score > 0

Non-cannabinoids

Fail if composite (secondary) score >= 9 Warn if composite score >= 3

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Investigate Warn/Fail

THCV CBC CBN

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Validation

  • Samples were generated to test the sensitivity of

the models

– Models need to satisfy the Goldilocks criteria

  • Not too sensitive, not too insensitive but “just right”
  • Aim to confirm suitability for use in QC release

– Chemotype – Genotype – Cross Contamination – Stability – Process Change

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Results - Chemotypes

Sample Profiler Model Expected Result Result THCV BDS THC BDS Profiler will generate a “FAIL” FAIL CBDV BDS CBD BDS Profiler will generate a “FAIL” FAIL THC BDS (Sativex) THC BDS Profiler will generate a PASS” PASS CBD BDS (Sativex) CBD BDS Profiler will generate a PASS” PASS

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Results - Genotypes

Sample Profiler Model Expected Result Result CBD BDS (M250) CBD BDS Profiler will generate a “FAIL” FAIL THC BDS (M333) THC BDS To be determined FAIL

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Results - Contamination

  • Evaluation of cross-contamination of BRM

when producing BDS

Sample Profiler Model Expected Result Result THC BDS: CBD BDS (98:2) & (99:1) THC BDS Profiler will generate a “FAIL” FAIL THC BDS: CBD BDS (99.5:0.5) THC BDS Profiler will generate a WARN” WARN

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Results - Contamination

99.5:0.5 THC:CBD 99:1 THC:CBD 98:2 THC:CBD CBD CBD CBD

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Summary

  • Routine QC Procedure
  • Based on strong data set
  • Demonstrates can identify batches

– Absence of expected constituents – Presence of the unexpected peak – Variation in the expected relative abundance – Chromatographic changes beyond the scope of the training set

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Thanks to:

Infometrix Inc

Brian Rohrback Scott Ramos Marlana Blackburn

Analytical R&D team at GW Pharma

Alan Sutton Emma Lennon James Dean-Hughes