P. Smirnov

Meta-analysis of preclinical pharmacogenomic studies to discover robust and translatable biomarkers of drug response

This study identifies 4,338 statistically significant biomarkers of drug response across 8 tissue types and 34 drugs using meta-analysis of preclinical pharmacogenomic studies, with ODC1 showing clinical relevance for Paclitaxel response in breast cancer.

Insulin Receptor Loss Impairs Mammary Tumorigenesis in Mice

This study shows that insulin receptor loss delays mammary tumor onset and burden in mouse models, without affecting progression or metastasis.

Bimodality of gene expression in cancer patient tumors as interpretable biomarkers for drug sensitivity

The paper develops an interpretable machine learning pipeline to predict drug sensitivity in cancer cells using bimodal gene expression patterns from pharmacogenomic data.

Karyotypic divergence confounds cellular phenotypes in large pharmacogenomic studies

This study identifies discordances in genotypic and karyotypic profiles across pharmacogenomic datasets, highlighting the impact of copy-number variants on drug response and the need for verification of cell line profiles.