Life Sciences Commons^™

Statistical Methods For Two Problems In Cancer Research: Analysis Of Rna-Seq Data From Archival Samples And Characterization Of Onset Of Multiple Primary Cancers, Jialu Li

Dissertations & Theses (Open Access)

My dissertation is focused on quantitative methodology development and application for two important topics in translational and clinical cancer research.

The first topic was motivated by the challenge of applying transcriptome sequencing (RNA-seq) to formalin-fixation and paraffin-embedding (FFPE) tumor samples for reliable diagnostic development. We designed a biospecimen study to directly compare gene expression results from different protocols to prepare libraries for RNA-seq from human breast cancer tissues, with randomization to fresh-frozen (FF) or FFPE conditions. To comprehensively evaluate the FFPE RNA-seq data quality for expression profiling, we developed multiple computational methods for assessment, such as the uniformity and continuity …

The Role Of N-Myc Downstream Regulated Gene 1 In Breast Cancer Lipid Metabolism, Christopher James Sevinsky

Legacy Theses & Dissertations (2009 - 2024)

Altered carbohydrate and lipid metabolism are increasingly well characterized hallmarks of aggressive breast cancers. While aerobic glycolysis, or “the Warburg effect”, is a well-established metabolic adaptation exploited by tumor cells, the understanding of unique aspects of cancer lipid metabolism lags behind. This is especially true regarding the coordination of complex lipid synthesis and trafficking pathways, which remains poorly understood. N-Myc Downstream Regulated Gene1 (NDRG1) is overexpressed in many solid tumors, but its function is unclear. The importance of NDRG1 is best exemplified by the effect of null mutations on human physiology: inactivating mutations give rise to the severe autosomal recessive …