Drug Discovery 2018
Poster
35

Application of Pharmacogenomics and Bioinformatics to Exemplify the Utility of Human ex vivo Organoculture Models in the Field of Precision Medicine.

Objective

It is well recognised that one size does not fit all when it comes to the treatment of many diseases. For precision medicines to be developed, genomics must be linked to pharmacology: relating the individuals genotype to the effectiveness, potency and tolerability of a drug.
Here we describe a collaboration between industry, the National Health Service (NHS) and academia that sought to demonstrate how early understanding of both pharmacology and genomics can improve strategies for the development of precision medicines. By using the latest pharmacology techniques in human fresh tissues from the target patient population, combined with genomics and clinical metadata associated with each individual, an improved understanding of the link between genetics and inter-individual drug responses emerges.
Diseased tissue ethically acquired from patients suffering from chronic obstructive pulmonary disease (COPD) or inflammatory bowel disease (IBD), was used to investigate inter-patient variability in drug efficacy using ex vivo organocultures of fresh lung or gastrointestinal tissue as the test system.  In order to assess patient variation and responsiveness to both ‘standard of care’ and potential novel therapies, the reduction in inflammatory cytokines in the presence of various test drugs was used as the measure of drug efficacy.  The individual patient responses were then matched against genotype and microRNA profiles in an attempt to identify unique predictors of drug responsiveness and demonstrate the combined power of pharmacology and genomics during pre-clinical development.
Within the COPD cohort (n=25 donors), a total of 30 SNPs corresponding to 23 genes were found to be tentatively associated with response to roflumilast plus fluticasone. Several of these genes have already been identified as being associated with COPD or other pulmonary diseases and include; HEY1, SMAD3, BARD1 and FOXP1.
Our findings suggest that genetic variation in the Cytochrome p450 enzyme (CYP2E1) gene, namely SNP (rs2249695), may partly explain the observed variation in drug response. Mean TNFα release was inhibited by 77.6 % (homozygous reference genotype (TT)) and by 50.74 % (homozygous alternative genotype (CC)). Levels of inhibition between these two genotypes were found to be significantly different with a p value of 0.02 (unpaired, two-tailed t-test). 
Bioinformatic analysis identified 30 SNPs corresponding to 23 genes (p <0.001) and 181 miRNAs (mapping to 636 genes, p <0.05) as being related to organoculture response. By applying a relaxed p value of 0.01, congruence analysis found that a total of 10 genes overlapped between the exome sequence and miRNA expression data. Overlapping genes are NTN4, IGF1R, SMAD3, EGFR, MCL1, FBN1, FGA, APP, MYO10 and IRAK3.
Within the IBD cohort (n=25 donors), 26 SNPs corresponding to 20 genes (p <0.001) and 176 miRNAs (mapping to 419 genes, p <0.05) were found to be tentatively associated with organoculture response to a novel P38 MAPK inhibitor.
Congruence analysis found that three genes (ROBO 1, ROCK2 & TNFSF-10) overlapped between the exome sequence and miRNA expression data. This overlap is not significantly higher than would be expected by chance, however ROCK2 and TNFSF-10 have previously been shown to be associated with IBD.
The authors acknowledge that while a very high volume of functional and genomics data was generated, the total number of patients was low for a genomics study; therefore, the scientific conclusions remain tentative but serve to demonstrate well the potential to explore patient stratification strategies at a much earlier stage by combining fresh tissue pharmacology, clinical metadata and genomics.  

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