image of the slide announcing the 2020 APA Kenner Award

The Kenner Award for Early Detection of Pancreatic Cancer is presented at the annual American Pancreatic Association meeting. The award is given yearly to provide support to two investigators who demonstrate interest in pancreatic cancer based on submitted abstracts.

2022
Jingxuan Yang, Ph.D. University of Oklahoma Health Sciences  Center Circular RNA ANAPC7 Inhibits Tumor Growth and Ameliorates Cancer Cachexia via PHLPP2-AKT-TGF-B Signaling Axis
Des Weighill, Ph.D. University of North Carolina,          Chapel Hill A Methylation-based Classifier for Pancreatic Cancer Subtype
2021
Jason Pitarresi, Ph.D. University of Pennsylvania Collateral Amplification of the PTHrP Gene Drives Pancreatic Cancer Growth and Metastasis and Reveals a New Therapeutic Vulnerability
Sandip Swain, Ph.D. Duke University Piezo1 Channel Opening Induces Stellate Cell Activation and Pressure-induced Pancreatic Fibrosis
2020
Jason Pitarresi, Ph.D. University of Pennsylvania Insulin Receptor Deletion in Pancreatic Acinar Cells Leads to Loss of Antimicrobial Secretion and Impaired Gut Barrier Function: Possible Link Between Diabetes and Severe Pancreatitis
Wansu Chen, Ph.D. Kaiser Permanente Prediction of Pancreatic Cancer in a Population-Based Cohort Using Machine Learning
2019
Olaya Brewer Gutierrez Johns Hopkins Hospital Surgical Outcomes After Pancreatic Resection of Screening-detected Lesions in Individuals at High-risk for Developing Pancreatic Cancer
Julie B. Sneddon University of California, San Francisco A Single-cell Atlas of the Developing Human Pancreas
2018
Thomas Mace Ohio State University CD200 Promotes Immunosuppression in the Pancreatic Tumor Microenvironment
Harika Kandlakunta Mayo Clinic New Onset Pre-diabetes: Clue to Pre-diagnostic Pancreatic Cancer
2017
Ayush Sharma Mayo Clinic Screening for Pancreatic Cancer in New-Onset Diabetes May Identify 20% of Incident Cases: A Population Based Study
Pranita Atri University of Nebraska Medical Center A System Biology Approach via Connectivity Mapping (CMAP) to Identify New Therapeutic Targets against Lethal Pancreatic Cancer