Stawiski, E. | bioRxiv Science

bioRxiv2021

RTK-dependent inducible degradation of mutant PI3K alpha drives GDC-0077 (Inavolisib) efficacy

PIK3CA is one of the most frequently mutated oncogenes; the p110 protein it encodes plays a central role in tumor cell proliferation and survival. Small molecule inhibitors targeting the PI3K p110 catalytic subunit have entered clinical trials, with early-phase GDC-0077 (Inavolisib) studies showing anti-tumor activity and a manageable safety profile in patients with PIK3CA-mutant, hormone receptor-positive breast cancer as a single agent or in combination therapy. Despite this, preclinical studies have shown that PI3K pathway inhibition releases negative feedback and activates receptor tyrosine kinase signaling, reengaging the pathway and attenuating drug activity. Here we discover that GDC-0077 and taselisib more potently inhibit mutant PI3K pathway signaling and cell viability through unique HER2-dependent degradation. Both are more effective than other PI3K inhibitors at maintaining prolonged pathway suppression, resulting in enhanced apoptosis and greater efficacy. This unique mechanism against mutant p110 reveals a new strategy for creating inhibitors that specifically target mutant tumors with selective degradation of the mutant oncoprotein and also provide a strong rationale for pursuing PI3K degraders in patients with HER2-positive breast cancer.

cancer biology↗

bioRxiv2020

South Asian patient population genetics reveal strong founder effects and high rates of homozygosity - new resources for precision medicine

Population-scale genetic studies can identify drug targets and allow disease risk to be predicted with resulting benefit for management of individual health risks and system-wide allocation of health care delivery resources. Although population-scale projects are underway in many parts of the world, genetic variation between population groups means that additional projects are warranted. South Asia has a population whose genetics is the least characterized of any of the worlds major populations. Here we describe GenomeAsia studies that characterize population structure in South Asia and that create tools for economical and accurate genotyping at population-scale. Prior work on population structure characterized isolated population groups, the relevance of which to large-scale studies of disease genetics is unclear. For our studies we used whole genome sequence information from 4,807 individuals recruited in the health care delivery systems of Pakistan, India and Bangladesh to ensure relevance to population-scale studies of disease genetics. We combined this with WGS data from 927 individuals from isolated South Asian population groups, and developed a custom SNP array (called SARGAM) that is optimized for future human genetic studies in South Asia. We find evidence for high rates of reproductive isolation, endogamy and consanguinity that vary across the subcontinent and that lead to levels of homozygosity that approach 100 times that seen in outbred populations. We describe founder effects that increase the power to associate functional variants with disease processes and that make South Asia a uniquely powerful place for population-scale genetic studies.

genomics↗