investigator_user investigator user funding collaborators pending menu bell message arrow_up arrow_down filter layers globe marker add arrow close download edit facebook info linkedin minus plus save share search sort twitter remove user-plus user-minus
  • Project leads
  • Collaborators

Using Protein Interaction Networks and Combinatorial Screens to target KRAS driven cancer

Peter Kent Jackson

0 Collaborator(s)

Funding source

National Institutes of Health (NIH)
Lung cancer is the leading cause of cancer deaths worldwide. The most prevalent type of lung cancer is Non- Small Cell Lung Cancer (NSCLC). In NSCLC, KRAS is one of the most frequently mutated oncogenes and yet there are currently no KRAS specific therapeutic approaches. The goal of this application is to implement a collaborative effort involving proteomics, combinatorial genetics (CRISPR/CAS9 screens), and mouse modeling (genetically engineered and human-in-mouse models) to identify and validate novel strategies to target KRAS specifically in NSCLC. We hypothesize that focused screens informed by the context (tissue of origin and secondary genetic changes) of oncogenic KRAS activity are likely to yield novel KRAS vulnerabilities. Given that KRAS acts through multiple, parallel downstream effectors, we also hypothesize that the search for vulnerabilities should emphasize (1) combinatorial effects, and (2) a careful analysis of protein-protein interactions in the Ras pathway. The proteomic analysis proposed here will use as a starting point previously identified and validated KRAS synthetic vulnerabilities. In Aim 1, we will utilize affinity purification/ mass spectrometry (AP/MS), to systematically identify oncogenic KRAS protein networks seeded on targets defined by previous synthetic lethal interaction screens. New proteomic technologies will also permit high-resolution identification of KRAS-specific post-translational modifications (PTMs). This work will define a set of high value KSL candidates. In Aim 2, we deploy a novel genetic interaction map approach to create combinatorial knockout libraries. This approach utilizes a unique version of the CRISPR-CAS9 system that expresses two guide RNAs (sgRNAs) from a single lentivirus. Deep sequencing of sgRNA pairs will identify critical genes that genetically interact with oncogenic KRAS or with components of the KRAS interaction network. Lastly, in Aim 3, we will test the functional significance of combinatorial synthetic lethal interactions using two approaches. First, we use 3 mouse models of human cancer that combine KRAS activation with loss of key tumor suppressors (LKB1, p53 or Keap1), thus accounting for a significant fraction of the "varieties" of KRAS activity in actual human tumors. Second, further validation and human relevance will be determined using a set of well-characterized patient-derived xenografts. We anticipate that our studies will identify novel strategies for targeting KRAS mutant lung cancer and potentially other cancers in which KRAS mutations are prevalent.

Related projects