000008742 001__ 8742
000008742 005__ 20240124114308.0
000008742 0247_ $$2DOI$$a10.6083/pk02cb33n
000008742 037__ $$aETD
000008742 245__ $$aPredictive modeling of ferroptosis susceptibility in renal cell carcinoma
000008742 260__ $$bOregon Health and Science University
000008742 260__ $$bOregon Health and Science University
000008742 269__ $$a2020
000008742 336__ $$aThesis
000008742 502__ $$bM.S.
000008742 520__ $$aFerroptosis is a recently discovered type of programmed cell death that is implicated in many cancers and neurodegenerative diseases.  It is dependent on the accumulation of iron and lipid reactive oxygen species.  If targeted, this mechanism could be used as an alternative mediator of cell death in cancers which have become resistant to apoptosis.  It has been shown that large b cell lymphomas and renal cell carcinomas are most susceptible to this regulated cell death.  Characterizing and understanding this process is imperative for developing effective treatments using this mechanism.  Predicting a cell type's susceptibility to ferroptosis could aid in this treatment process and further develop the key factors in ferroptosis.  A mathematical model was developed to predict this outcome in the renal cell carcinoma context.  Multi-level analyses of predictor variables were performed; a single feature linear regression model proved to be the most effective.  After extensive validation, ferroptosis susceptibility was accurately predicted using labile iron pool measurements.  With further extension into various types of cancers and contexts, this can be a useful tool in determining a cell's ability to be induced into ferroptosis, furthering the research in this breakthrough mechanism.
000008742 542__ $$fIn copyright - single owner
000008742 650__ $$aFerroptosis$$013005
000008742 6531_ $$arenal cell carcinomas
000008742 6531_ $$alinear regression
000008742 691__ $$aSchool of Medicine$$041369
000008742 692__ $$aDepartment of Medical Informatics and Clinical Epidemiology$$041422
000008742 7001_ $$aLawson, Samantha$$uOregon Health and Science University$$041354
000008742 8564_ $$9ecd12c1f-7e11-46c3-b947-874c7f8aa6df$$s780054$$uhttps://digitalcollections.ohsu.edu/record/8742/files/Lawson.Samantha.2020.pdf
000008742 905__ $$a/rest/prod/pk/02/cb/33/pk02cb33n
000008742 909CO $$ooai:digitalcollections.ohsu.edu:8742$$pstudent-work
000008742 980__ $$aBiomedical Informatics