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.