Life Sciences Commons^™

Discerning Drivers Of Cancer: Computational Approaches To Somatic Exome Sequencing Data, Runjun Kumar

Arts & Sciences Electronic Theses and Dissertations

Paired tumor-normal sequencing of thousands of patient’s exomes has revealed millions of somatic mutations, but functional characterization and clinical decision making are stymied because biologically neutral ‘passenger’ mutations greatly outnumber pathogenic ‘driver’ mutations. Since most mutations will return negative results if tested, conventional resource-intensive experiments are reserved for mutations which are observed in multiple patients or rarer mutations found in well-established cancer genes. Most mutations are therefore never tested, diminishing the potential to discover new mechanisms of cancer development and treatment opportunities. Computational methods that reliably prioritize mutations for testing would greatly increase the translation of sequencing results to clinical …

Functional Signature Ontology-Based Identification And Validation Of Novel Therapeutic Targets And Natural Products For The Treatment Of Cancer, Beth Neilsen

Theses & Dissertations

Multiple studies have revealed that Ras-driven tumors acquire vulnerabilities by adapting cellular mechanisms that promote uncontrolled proliferation and suppress apoptosis. Kinase Suppressor of Ras 1 (KSR1) modulates ERK activation downstream of oncogenic Ras, and knockdown of KSR1 selectively kills malignant, Ras-driven cancer cells, but does not kill immortalized, non-transformed human colon epithelial cells (HCECs). KSR1^-/- mice are fertile and phenotypically normal, but resistant to Ras-driven tumor formation suggesting KSR1 represents a vulnerability in cancer cells.

To identify additional vulnerabilities in cancer, a screening approach termed Functional Signature Ontology (FUSION) was used to screen 14,355 genes and 1,200 natural product …