Oncological resection and perioperative outcomes of robotic, laparoscopic and open pancreatoduodenectomy for ampullary adenocarcinoma: a propensity score matched international multicenter cohort study.

Background: Ampullary adenocarcinoma (AAC) typically presents at an early stage due to biliary obstruction and therefore might be specifically suitable for minimally invasive pancreatoduodenectomy (MIPD). However, studies assessing MIPD specifically for AAC, including the robotic and laparoscopic approach, are limited. The aim of this study is to compare short- and long-term oncological resection and perioperative outcomes of robotic (RPD), laparoscopic (LPD) and open pancreatoduodenectomy (OPD) performed specifically for AAC.

The Grade C Pancreatic Fistula.

Grade C pancreatic fistulas are associated with severe morbidity and a significant risk of mortality. High-risk pancreatic anastomoses can be predicted to allow best practice fistula mitigation techniques. In these high-risk glands, any deviation from a stable postoperative clinical course should prompt early computed tomography and aggressive, percutaneous drainage of the operative bed.

Exosomes derived from tumor adjacent fibroblasts efficiently target pancreatic tumors.

The application of extracellular vesicles, particularly exosomes (EXs), is rapidly expanding in the field of medicine, owing to their remarkable properties as natural carriers of biological cargo. This study investigates utilization of exosomes derived from stromal cells of tumor adjacent normal tissues (NAF-EXs) for personalized medicine, which can be derived at the time of diagnosis by endoscopic ultrasound. Herein, we show that exosomes (EXs) derived from NAFs demonstrate differential bio-physical characteristics, efficient cellular internalization, drug loading efficiency, pancreatic tumor targeting and delivery of payloads.

Bridging gaps in traditional research training with iBiology Courses.

iBiology Courses provide trainees with just-in-time learning resources to become effective researchers. These courses can help scientists build core research skills, plan their research projects and careers, and learn from scientists with diverse backgrounds.

Metagenomic analysis unveils the microbial landscape of pancreatic tumors.

The composition of resident microbes in the human body is linked to various diseases and their treatment outcomes. Although studies have identified pancreatic ductal adenocarcinoma (PDAC)-associated bacterial communities in the oral and gut samples, herein, we hypothesize that the prevalence of microbiota in pancreatic tumor tissues is different as compared with their matched adjacent, histologically normal appearing tissues, and these microbial molecular signatures can be highly useful for PDAC diagnosis/prognosis. In this study, we performed comparative profiling of bacterial populations in pancreatic tumors and their respective adjacent normal tissues using 16S rRNA-based metagenomics analysis.