Title: Pathogenic mosaic germline mutational landscape in breast cancer patients and pharmacogenomics

Biography:

Ryong Nam Kim had completed his PhD in a major of functional genomics and has his expertise in discovering biomarker and pharmaceutic drug candidates by applying genomics and pharmacogenomics approaches to diverse cancer types, including breast, lung and stomach cancers.

Abstract

In recent years, a huge number of germline mutational variants had been identified in breast cancer by next-generation sequencing technologies. Even though a considerable portion of them are variants with low variant allele fraction (< 30%), which could give rise to suspicion among us regarding whether they might be false or true, recent pioneering studies have begun to corroborate that a certain amount of them are true variants associated with mutational mosaicism. In this study, we present pathogenic mosaic germline mutational landscape in 490 breast cancer patients by carrying out targeted next-generational sequencing of 62 cancer-associated genes. We discovered 112 pathogenic, 37 likely pathogenic and 252 VUS mosaic germline mutations with variant allele fraction less than 30%. PRSS1 (97%), ATM (22%), PMS2 (11%), BARD1 (11%), PTEN (8%), BRCA2 (8%), BRCA1 (7%), APC (5%), MSH2 (5%) and NF1 (5%) mosaic mutations occurred in the top 10 biggest portions among the 490 patients, respectively. Gene pairs showing statistically significant mutual exclusivity in mutation carriers are PRSS1 and FANCC (p < 0.01), PRSS1 and PTEN (P < 0.01), and PRSS1 and ATM (p < 0.01). Genes showing the biggest fractions of mosaic mutational clusters PRSS1 (FDR < 10^-6), BARD1 (FDR < 10^-5), PTEN (FDR < 10^-4), ATM (FDR < 10^-4), VHL (FDR < 10^-4), PMS2 (FDR < 10^-4), NBN (FDR < 10^-3), PTCH (FDR < 10^-3), MSH6 (FDR < 10^-3), and BRCA2 (FDR < 10^-2). Protein pfam domain hit most by those mosaic mutations is Tryp_SPc (trypsin-like serine protease). The most affected pathways by mosaic mutations are TP53, cell cycle, RTK-RAS and PI3K pathways. By using 34 drug-gene mutation interaction database sources for clinically actionable pathogenic mutations, we identified drug candidates for most of mosaic pathogenic mutations in this study. Furthermore, by using pharmacogenomics approach through integrating drug sensitivity, genomic mutation and expression profiling data for 1200 human cancer cell lines, we validated the drug sensitivity and effectiveness of NVP-BEZ235 and temsirolimus for RB1, Camptothecin for TP53, and AZD8055 for NF1 and MSH2 mutated cancer cell lines. Taken together, this study elucidates pathogenic mosaic germline mutational landscape in breast cancer patients and also provides pharmacologists, clinicians, clinical oncologists and surgeons with fresh guidance for choosing candidate pharmaceutical drugs for carriers with pathogenic mosaic germline mutations and for diagnosing and treating them.