- Inflammatory Biomarkers in Disease Prognosis
- Acute Lymphoblastic Leukemia research
- Epigenetics and DNA Methylation
- Childhood Cancer Survivors' Quality of Life
- Multiple and Secondary Primary Cancers
- Cancer Immunotherapy and Biomarkers
- Immune cells in cancer
- Sarcoma Diagnosis and Treatment
- Vascular Tumors and Angiosarcomas
- Cancer Diagnosis and Treatment
- Colorectal and Anal Carcinomas
- Topic Modeling
- Neurofibromatosis and Schwannoma Cases
- Machine Learning in Healthcare
- Genetic Syndromes and Imprinting
- Glioma Diagnosis and Treatment
- Cancer Risks and Factors
- Radiomics and Machine Learning in Medical Imaging
Stanford University
2023
Children's Cancer Center
2020
Baylor College of Medicine
2018-2020
Background Curative therapy places childhood cancer survivors at increased risk for second primary malignancies (SPMs). However, there have been few population‐based attempts to characterize differences between outcomes of SPMs in and first (FPMs). Methods Clinical demographic information about who developed individuals with comparable FPMs was extracted from the Surveillance, Epidemiology, End Results program. Hazard ratios (HRs) 95% confidence intervals (CIs) were estimated Cox...
Abstract Background Longitudinal data on key cancer outcomes for clinical research, such as response to treatment and disease progression, are not captured in standard registry reporting. Manual extraction of from unstructured electronic health records is a slow, resource-intensive process. Natural language processing (NLP) methods can accelerate outcome annotation, but they require substantial labeled data. Transfer learning based modeling, particularly using the Transformer architecture,...
Background In recent years, there has been growing awareness of the distinct characteristics adolescents and young adults (AYA) diagnosed with cancer. Soft‐tissue sarcoma (STS) accounts for approximately 1% all cancers in 8% AYA. To best our knowledge, only a few registers include data regarding histological subtype, age at diagnosis, detailed clinical information. Therefore, little is known presentation outcomes AYA STS. Methods Using Scandinavian Sarcoma Group Central Register, were...
Because survivors of pediatric acute lymphoblastic leukemia (ALL) are more likely to be obese than unaffected contemporaries, we compared DNA methylation profiles between normal-weight and at adiposity-associated CpG sites previously-reported by epigenome-wide association studies (EWAS) body mass index (BMI) in the general population. We selected 96 ALL from Childhood Cancer Survivor Study: 48 normal weight. The Illumina HumanMethylation450 BeadChip was used compare 211 loci identified EWAS...
Background Treatment characteristics such as cranial radiation therapy (CRT) do not fully explain adiposity risk in childhood acute lymphoblastic leukemia (ALL) survivors. This study was aimed at characterizing genetic variation related to adult body mass index (BMI) among survivors of ALL. Methods Genetic associations BMI 1458 ALL (median time from diagnosis, 20 years) were analyzed by multiple approaches. A 2‐stage genome‐wide association the Childhood Cancer Survivor Study (CCSS) and St....
Abstract Background: Five-year survival rates for those diagnosed with soft tissue sarcoma (STS) have improved significantly among children and older adults (OAs), but these same trends not been observed adolescents young (AYAs). While disparities could be due to differences in biology or treatment, few studies evaluated STS occurrence outcome AYAs. Therefore, the purpose of this study was evaluate between (AYAs) (OAs) by stratifying analysis by: (1) clinical presentation; (2) treatment; (3)...
Background/Objectives: Medulloblastoma is the most common malignant brain tumor diagnosed in children. Current risk-stratification methods of pediatric medulloblastoma do not fully explain observed variability clinical outcomes. Methylation-derived neutrophil-to-lymphocyte ratio (mdNLR) captures immune-specific information and has been identified as a potential prognostic biomarker outcomes various cancers, including adult tumors. Therefore, we evaluated association between blood-derived...
Background: Curative therapy places childhood cancer survivors at increased risk of second primary malignancies (SPMs). However, there have been few population-based attempts to characterize differences in outcomes between SPMs and comparable de novo first (FPMs).Methods: We extracted clinical demographic information from who developed individuals with FPMs using the Surveillance, Epidemiology, End Results (SEER) 1973-2015 database. Hazard ratios (HR) 95% confidence intervals (CI) were...
Abstract Background: Curative therapy places childhood cancer survivors at increased risk of second primary malignancies (SPMs). However, there have been few population-based attempts to characterize differences in outcomes between SPMs and comparable de novo first (FPMs). Methods: We extracted clinical demographic information from who developed individuals with FPMs using the Surveillance, Epidemiology, End Results (SEER) 1973-2015 database. Hazard ratios (HR) 95% confidence intervals (CI)...
Abstract Background/Objectives: Medulloblastoma is the most common malignant brain tumor diagnosed in children. Current risk-stratification methods of pediatric medulloblastoma do not fully explain observed variability clinical outcomes. Methylation-derived neutrophil-to-lymphocyte ratio (mdNLR) captures immune-specific information and has been identified as a potential prognostic biomarker outcomes various cancers, including adult tumors. Therefore, we evaluated association between...