Doctor of Philosophy, Case Western Reserve University, 2019, Epidemiology and Biostatistics
Gliomas are the most common primary malignant brain tumor. Glioblastoma (GBM), World Health Organization (WHO) Grade IV, is the most common, aggressive, and deadly glioma and has extremely poor prognosis. Lower grade gliomas (LGG), comprised of WHO Grades II and III tumors (sometimes referred to as low and intermediate grade gliomas), are invasive and may progress to higher-grade lesions. In 2016, the WHO reclassified the definition of GBM, dividing these tumors into isocitrate dehydrogenase (IDH)-wildtype and IDH-mutant GBM, where the vast majority are IDH-wildtype. A nomogram accounts is an easily accessible tool for physicians to use on behalf of their patients for predicting survival, developing individualized cancer prognosis, and deciding the interval for follow-up and/or imaging. Sex disparities in cancer survival have been established for several cancers but have remained inconclusive for gliomas. Therefore, we aimed to (1) develop and independently validate a nomogram for patients with newly diagnosed LGG, (2) develop and independently validate a nomogram for patients with newly diagnosed IDH-wildtype GBM, and (3) determine whether sex differences exist in glioma survival. The LGG nomogram was trained using data from The Cancer Genome Atlas (TCGA) and validated using OBTS data. The GBM nomogram was trained using data from the Ohio Brain Tumor Study (OBTS) and validated using data from the University of California San Francisco (UCSF). For both nomograms, survival was assessed using Cox proportional hazards regression, random survival forests, and recursive partitioning analysis. Nomograms provide an individualized estimate of survival rather than a group estimate and can be useful tools to patients and healthcare providers for counseling patients and their families regarding treatment decisions, follow-up, and prognosis. Free software for implementing these nomograms have been developed. To assess sex differences in glioma survival, data were obt (open full item for complete abstract)
Committee: Chun Li Ph.D. (Committee Chair); Jill Barnholtz-Sloan Ph.D. (Advisor); Marta Couce M.D., Ph.D. (Committee Member); Curtis Tatsuoka Ph.D. (Committee Member)
Subjects: Biostatistics; Epidemiology