Implementation of an academic-community partnership model for equitable access to precision oncology decision support in rural community cancer centers.

Anivarya Kumar, Jennifer Owen, Nicholette Sloat,Elizabeth Maynard,Vanessa Hill,Christopher Hubbard, Matthew McKinney,Linda Sutton, Shannon J. McCall,Michael B. Datto, Ryne C. Ramaker,Michelle Green, John H. Strickler,Bennett Adam Caughey

JCO oncology practice(2023)

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摘要
141 Background: Comprehensive genomic profiling (CGP) is an essential tool for selecting cancer therapies and matching patients to clinical trials, however patients in rural community cancer centers are less likely to receive CGP. We developed an academic-community partnership model to expand Duke’s Molecular Tumor Board (MTB) clinical decision-making and trial-matching services to Duke Cancer Network (DCN), a series of affiliated community cancer centers across rural North Carolina. Methods: The Duke Precision Cancer Medicine Initiative created a Molecular Registry of Tumors database to aggregate CGP results from multiple vendors and enable review by a multidisciplinary MTB. Patients treated at DCN sites had their CGP results and relevant clinical data reviewed by the Duke MTB. After review, clinical recommendations were communicated in a standardized note and returned to DCN providers within one week. One year into implementation, DCN providers were anonymously surveyed to identify persistent barriers to utilization of CGP. Results: Between Jan 2022 and June 2023, 96 patients were consented, enrolled, and reviewed by Duke MTB. 29.2% were Black, 19.8% were Native American, and 5 .2% were of Hispanic ethnicity. 57.3% patients were found to have an actionable genomic biomarker. Of these, 14 of 22 (63.6%) received matched FDA-approved therapies and 0 of 17 (0%) with molecular criteria for a clinical trial at Duke successfully enrolled at time of submission. 85% DCN providers reported comfort ordering CGP and 45% reported comfort interpreting the results. Most frequently reported major barriers to clinical trial participation included distance (70%), lack of transportation (55%), and lack of local trials (50%). Conclusions: Our implementation of a novel academic-community partnership serves as a sustainable and reproducible model to expand access to MTB services. Further research and interventions are necessary to mitigate persistent urban versus rural barriers to utilizing CGP, especially those in clinical trial enrollment. By providing MTB support to historically underserved communities and a framework to identify salient barriers in the process, our model can be adopted by academic cancer centers nationally, contributing to improved and equitable outcomes in oncology.[Table: see text]
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rural academic-community cancer centers,precision oncology decision support,equitable access
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