Application of T cell-based transcriptomics to identify three candidate biomarkers for monitoring anti-TGFβR therapy

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ObjectivesThe development of targeted drugs would greatly benefit from the simultaneous identification of biomarkers to determine the aspects of bioactivity, drug safety and efficacy, particularly when affecting receptor-signaling pathways. However, the establishment of appropriate systems to monitor drug-induced events requires an accessible surrogate tissue for functional read out.MethodsTherefore we present a universal platform based upon T cell-based gene expression profiling for the identification of biomarkers using the antitransforming growth factor β receptor inhibitor LY2109761 as an example.ResultsOur initial screen revealed 12 candidate genes specifically regulated in T cells by the inhibitor. In subsequent in-vitro and in-vivo analyses, the combined monitoring of independent gene regulation of three genes was established in peripheral blood mononuclear cells as novel pharmacodynamic candidate biomarkers for antitransforming growth factor β receptor based therapies.ConclusionOverall, the proposed concept of biomarker identification can be easily adapted towards other drug candidates for whom gene regulation can be established in cellular components of peripheral blood.

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