Abstract B05: Discovery, validation and targeting of novel synthetic lethal interactions in academic drug discovery

The identification of novel oncology targets for small molecule drug discovery is becoming increasingly challenging despite 10-15% of the human genome estimated to be druggable. The literature is an important source of novel targets; however, several recent reports by pharma and academia have indicated that approximately 11-55% of published studies are irreproducible. Moreover, oncology drug attrition rates are extremely poor, with 66% of candidates in Phase III clinical trials not achieving approval. This is reflected by increasing failure rates of drug development projects in Phase II, from 72% in 2006-2007 to 82% in 2008-2009. These failures have been attributed to lack of efficacy, thus highlighting the critical requirement for new novel drug targets that demonstrate clear promise of clinical efficacy through predictive in vitro and in vivo models. Furthermore, it is important to prioritize and pursue targets that are most likely to bind a small molecule inhibitor with high infinity. We sought to utilize the wealth of unvalidated genomic data now available in the public domain by developing a bioinformatic pipeline founded on the collateral vulnerability hypothesis, which is based on the concept of synthetic lethality and exploits the co-occurrence of deletions of genes flanking tumor suppressors that are lost during the course of tumor evolution. We can then target the paralogs of these genes if together they belong to gene families with essential predicted function, the...
Source: Molecular Cancer Therapeutics - Category: Cancer & Oncology Authors: Tags: New Technology and Bioinformatics: Poster Presentations - Proffered Abstracts Source Type: research