Oncology Commons^™

Analyzing Prominent Genes In Acute Lymphocytic Leukemia (All), Shima Z. Omar

Honors College Theses

Acute lymphocytic leukemia (ALL) is the most common type of childhood cancer. Leukemia is a type of cancer that involves the bone marrow and blood. This research study examined prominent genes in the disease. Two groups of genes, tumor suppressor and cell differentiation, were compared using statistical analysis to compare their binding potential and epigenetic potential. It is most likely that I failed to detect significant differences either because these genes’ function in the disease etiology is not strongly contexed to changes in expression, or that the magnitude of the differences were too slight to be detected with these methods. …

Risk And Risk Factors For Colorectal Subsequent Malignancies In Survivors Of Childhood Cancer: A Report From The Childhood Cancer Survivor Study, Constance A. Owens

Dissertations & Theses (Open Access)

Survivors of childhood cancer are at risk for colorectal subsequent malignant neoplasms (SMNs); notably, these cancers are amenable to screening. To identify at-risk survivors that may benefit from early screening, descriptive and risk factor analyses were performed to ascertain risk factors for colorectal SMN in childhood cancer survivors. In particular, we explored detailed radiation therapy (RT) data – colorectal and substructure dose-volume metrics – as risk factors for colorectal SMN risk; metrics that have yet to be thoroughly investigated. We developed a novel population-based anatomical colorectal model with substructures for RT dosimetry in late effects studies of childhood cancer survivors; …

Automating The Radiation Therapy Treatment Planning Process For Pediatric Patients With Medulloblastoma, Soleil Hernandez

Dissertations & Theses (Open Access)

Over the past 50 years, pediatric cancer 5-year survival rates increased from 20% to 80% in high-income countries, however, these trends have not been mirrored in low-and-middle-income countries (LMICs). This is due in part to delayed diagnosis, higher rates of advanced disease at presentation and a growing lack of access to high quality medical personnel and technology necessary to deliver complex treatments.

The long-term goal of this study was to alleviate demanding workflows and increase global access to high-quality pediatric radiation therapy by harnessing the power of artificial intelligence to automate the radiation therapy treatment planning process for pediatric patients …