The Florida Pancreas Collaborative Next-Generation Biobank: Infrastructure to Reduce Disparities and Improve Survival for a Diverse Cohort of Patients with Pancreatic Cancer.
Jennifer B PermuthKaleena B DezsiShraddha VyasKarla N AliToni L BasinskiOvie A UtuamaJason W DenboJason KlapmanAamir DamEstrella CarballidoDae Won KimJose M PimientoBenjamin D PowersAmy K OttoJung W ChoiDung-Tsa ChenJamie K TeerFrancisca BeatoAlina WardElena M CortizasSuzanne Y WhisnerIverson E WilliamsAndrea N RinerKenneth TardifVic VelanovichAndreas KarachristosWade G DouglasAdrian LegaspiBassan J AllanKenneth MeredithManual A Molina-VegaPhilip BaoJamii St JulienKevin L HuguetLee GreenFolakemi T OdedinaNagi B KumarVani N SimmonsThomas J GeorgeSusan T VadaparampilPamela J HodulJ Pablo ArnolettiZiad T AwadDebashish BoseKun JiangBarbara A CentenoClement K GwedeMokenge MalafaSarah M JudgeAndrew R JudgeDaniel JeongMark BloomstonNipun B MerchantJason B FlemingJose G Trevinonull On Behalf Of The Florida Pancreas CollaborativePublished in: Cancers (2021)
Background: Well-annotated, high-quality biorepositories provide a valuable platform to support translational research. However, most biorepositories have poor representation of minority groups, limiting the ability to address health disparities. Methods: We describe the establishment of the Florida Pancreas Collaborative (FPC), the first state-wide prospective cohort study and biorepository designed to address the higher burden of pancreatic cancer (PaCa) in African Americans (AA) compared to Non-Hispanic Whites (NHW) and Hispanic/Latinx (H/L). We provide an overview of stakeholders; study eligibility and design; recruitment strategies; standard operating procedures to collect, process, store, and transfer biospecimens, medical images, and data; our cloud-based data management platform; and progress regarding recruitment and biobanking. Results: The FPC consists of multidisciplinary teams from fifteen Florida medical institutions. From March 2019 through August 2020, 350 patients were assessed for eligibility, 323 met inclusion/exclusion criteria, and 305 (94%) enrolled, including 228 NHW, 30 AA, and 47 H/L, with 94%, 100%, and 94% participation rates, respectively. A high percentage of participants have donated blood (87%), pancreatic tumor tissue (41%), computed tomography scans (76%), and questionnaires (62%). Conclusions: This biorepository addresses a critical gap in PaCa research and has potential to advance translational studies intended to minimize disparities and reduce PaCa-related morbidity and mortality.
Keyphrases
- computed tomography
- healthcare
- electronic health record
- quality improvement
- end stage renal disease
- newly diagnosed
- high throughput
- ejection fraction
- public health
- big data
- positron emission tomography
- magnetic resonance imaging
- mental health
- deep learning
- african american
- risk assessment
- physical activity
- patient reported outcomes
- optical coherence tomography
- convolutional neural network
- contrast enhanced
- dual energy
- artificial intelligence
- social media