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BACKGROUND: The historical standard of care in treating operable pancreatic cancer via upfront surgery has been challenged recently using a neoadjuvant approach. The aim of the study is to examine the national practice patterns in the management of pancreatic cancer with an emphasis on the trends of neoadjuvant systemic therapy use. METHODS: This is a cross-sectional time-series study using the National Cancer Database from 2006 to 2019. Patients who underwent resection for stage I-II pancreatic adenocarcinoma were selected. RESULTS: Overall, 25% of patients had neoadjuvant chemotherapy, 49% had surgery followed by adjuvant chemotherapy and 26% had surgery alone. The rate of neoadjuvant chemotherapy has increased from 11% in 2006 to 43% in 2019. There was a decrease in the rate of surgery followed by chemotherapy from 48% to 38%, and a decrease in the rate of surgery alone from 41% to 19%. The rate of radiation therapy use has decreased over time, as has the resection rate, while median overall survival has steadily improved over the years. CONCLUSIONS: In 2019, the rate of using neoadjuvant systemic therapy overtook the rate of surgery first followed by adjuvant systemic therapy, marking a pragmatic national shift in the clinical management of pancreatic cancer.
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OBJECTIVES: Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart defect in the United States. We aimed to identify genetic variations associated with TOF using meta-analysis of publicly available digital samples to spotlight targets for prevention, screening, and treatment strategies. METHODS: We used the Search Tag Analyze Resource for Gene Expression Omnibus (STARGEO) platform to identify 39 TOF and 19 non-TOF right ventricle tissue samples from microarray data and identified upregulated and downregulated genes. Associated gene expression data were analyzed using ingenuity pathway analysis and restricted to genes with a statistically significant (p < .05) difference and an absolute experimental log ratio >0.1 between disease and control samples. RESULTS: Our analysis identified 220 genes whose expression profiles were significantly altered in TOF vs. non-TOF samples. The most striking differences identified in gene expression included genes FBXO32, PTGES, MYL12a, and NR2F2. Some top associated canonical pathways included adrenergic signaling, estrogen receptor signaling, and the role of NFAT in cardiac hypertrophy. In general, genes involved in adaptive, defensive, and reparative cardiovascular responses showed altered expression in TOF vs. non-TOF samples. CONCLUSIONS: We introduced the interpretation of open "big data" using the STARGEO platform to define robust genomic signatures of congenital heart disease pathology of TOF. Overall, our meta-analysis results indicated increased metabolism, inflammation, and altered gene expression in TOF patients. Estrogen receptor signaling and the role of NFAT in cardiac hypertrophy represent unique pathways upregulated in TOF patients and are potential targets for future pharmacologic treatments.