AbstractAutoimmune pancreatitis (AIP) is identified as a severe chronic immune‐related disorder in pancreas, including two subtypes. In this study, pancreatic lesions in patients diagnosed as either type 1 AIP or type 2 AIP are examined, and these patients’ peripheral blood at single‐cell level. Furthermore, flow cytometry, immunofluorescence, and functional assays are performed to verify the identified cell subtypes. In type 1 AIP, there is a notable increase in the amount of B cells and plasma cells, and IgG4+ plasma cells are key pathogenic cells of AIP. The differentiation path of naïve‐stage B cells into IgG4+ produced plasma cells is observed, and an increased amount of T helper cells and T follicular helper (Tfh) cells. This study also reveals that HIF‐1α, an activated transcriptional factor, can directly bind to promoter site of NAMPT, promoting higher levels of visfatin production in HIF1A+ classical monocytes. Pancreatic stellate cells can be activated by extracellular visfatin and promote the development of fibrotic response in pancreatic lesions across both AIP subtypes. The current findings shed light on the exploration of dynamic alterations in peripheral blood cells and cell subgroups in pancreatic lesions of AIP, while elucidating a pathogenic cell subset and potential fibrosis mechanism of AIP.
Characterization of Factors Associated With Death in Deceased Patients With Mitochondrial Disorders
INTRODUCTION: To assess strategies for optimizing participation of underserved minorities in a blood-based early colorectal cancer detection test study (PREEMPT CRC; NCT04369053) at a hospital serving primarily Black individuals. METHODS: Culturally sensitive, racially congruent research staff approached individuals undergoing average-risk screening colonoscopy. Consent/study procedures were synchronized with clinical appointments. Enrolled and not-enrolled patient characteristics were compared. Recruitment was compared with other study sites. RESULTS: In total, 247 of 509 eligible individuals were enrolled; most were identified as Black (88.7%). No baseline characteristics were associated with participation. Recruitment was high compared with other sites (11th centile). DISCUSSION: Recruitment barriers for Black individuals can be overcome when easy, culturally sensitive access is facilitated.
Large Language Models on Radiation Oncology Tasks: Small Fine-Tuned Models vs. Large Vanilla Model
Purpose: This study compares the performance of small, fine-tuned LLMs with the large original models on two radiation oncology clinical tasks: treatment modality selection and ICD-10 code prediction. Methods: We used data of 403 treatment modality selection cases and 377 ICD-10 code prediction cases. The models used were fine-tuned LLaMA 2 7B and Mistral 7B, as well as the larger LLaMA 3.1 70B and 405B models for comparison. We evaluated the accuracy of all models on these two tasks. Results: Both fine-tuned LLaMA 2 7B and Mistral 7B outperformed LLaMA 3.1 70B and 405B in treatment modality selection task. The fine-tuned LLaMA 2 7B and Mistral 7B models achieved accuracy comparable to the larger models in ICD-10 code prediction. Conclusions: Small models, fine-tuned with radiation oncology data, can achieve performance comparable to-or even surpass-that of larger models.
Incidence and survival trends in small bowel adenocarcinoma (SBA) from 2000-2019 in the United States.
801 Background: SBA is a rare, poorly understood gastrointestinal malignancy. Adenocarcinomas are often grouped with other small bowel cancer histologies in epidemiologic and outcomes reports, which limits the ability to detect SBA-specific trends. Recent studies in European populations show increasing SBA incidence, but there are limited published data in American cohorts. Identifying trends in SBA can improve understanding of the population most at risk for developing SBA. This study describes U.S. trends in SBA incidence and outcomes from 2000 to 2019. Methods: Using the 2022 SEER research-limited dataset, we identified SBA cases and measured the incidence change from 2000-2019. We built linear regression models to evaluate changes in annual incidence by groups, including sex, race, and age of diagnosis, separately. We then compared the overall incidence and trends between subgroups. We investigated overall survival (OS) through the SEER research case listings for SBA patients diagnosed during the study period. Results: An average of 0.67 cases/100,000 SBA cases were reported annually from 2000-2019, with a median diagnosis age of 69 years. SBA incidence has increased annually by 0.3% per year from 2000-2019 (p=0.05). From 2000-2019, men were at a higher risk for SBA compared to women (p=0.02). In men, SBA cases increased at a rate of 0.004 cases/100,000/year from 2000-2019 (p=0.01) and a nonsignificant decrease in women of 0.00012 cases/100,000/year. There were no statistically significant differences in incidence or the change in incidence of SBA by race. The age-adjusted incidence was significantly higher each year between 2000 and 2019 in the > 70 cohort compared to the <70 cohort (p=0.02). Cases of SBA increased at a rate of 0.02 cases/100,000/year in adults >70 years (p=0.02). There were no differences in incidence rates in patients <70 years. There was no significant difference in OS for patients diagnosed with SBA in 2000, 2005, 2010, 2015, and 2019 (p=0.21). Conclusions: The overall annual incidence of SBA is increasing in the U.S. population. The most significant rate increases are in men and adults older than 70. In the SEER population, trends in SBA contrast with the recent rise of colorectal cancer in the young adult population, highlighting the unique nature of SBA compared to other gastrointestinal malignancies. Additionally, survival outcomes in patients diagnosed with SBA have remained stable over the past 20 years, while other malignancies have shown improvement in the same period. The small cohort size and the lack of a universal U.S. cancer registry limited this evaluation. Improved reporting of SBA cases and further research to identify risk factors are urgently needed to reduce the growing impact of SBA.
Spatially defined intratumoral immune biomarkers predict recurrent versus second primary tumors in non-small cell lung cancer
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