Overcoming barriers to adoption of precision medicine in community oncology centers in the rural southeastern United States using novel informatics tools and academic collaborations.

Authors

Bennett Caughey

Bennett Adam Caughey

Division of Medical Oncology, Duke University School of Medicine, Durham, NC

Bennett Adam Caughey , Anivarya Kumar , Jennifer R. Owen , Nicholette Sloat , Elizabeth Maynard , Vanessa Hill , Christopher Hubbard , Benjamin Neely , Matthew Stuart McKinney , Linda Sutton , Shannon J. McCall , Michael Datto , John H. Strickler , Michelle Green

Organizations

Division of Medical Oncology, Duke University School of Medicine, Durham, NC, School of Medicine, Duke University, Durham, NC, Duke Cancer Network, Duke University, Durham, NC, Duke Cancer Institute, Duke University, Durham, NC, Department of Pathology, Duke University School of Medicine, Durham, NC, Duke University, Durham, NC, Duke Cancer Institute, Durham, NC, Department of Pathology, Duke University, Durham, NC

Research Funding

Other Foundation
The V Foundation

Background: Comprehensive genomic profiling (CGP) is an important tool to identify actionable biomarkers and guide cancer therapy. However, patient (pt) race, socioeconomic status, and clinical setting are associated with lower access to CGP, targeted therapies, and clinical trials. To address this, we expanded a novel framework for genomic data management and clinical decision support developed at a large academic medical center to a network of affiliated community cancer centers located in rural, traditionally underserved communities. Methods: The Duke Precision Cancer Medicine Initiative (PCMI) developed a centralized database to aggregate and normalize CGP results. This database enables CGP review by a multi-disciplinary Molecular Tumor Board (MTB). PCMI established a protocol that allows the MTB to review CGP results and relevant clinical data for consented patients. This protocol opened enrollment at four DCN-affiliated cancer centers in rural North Carolina. Clinical recommendations are captured in a standard note and returned to DCN providers following each review. Our protocol also includes an anonymous survey sent to oncology providers asking about barriers to access and utilization of CGP. Results: Between Jan 2022 and Jan 2023, 62 pts were enrolled and had CGP results reviewed by the MTB; 13 pts (21.0%) were Native American and 20 (32.3%) were Black. 61 actionable genomic alterations were identified from 38 pts, including 16 (25.6%) that molecularly matched clinical trial inclusion criteria. Most DCN providers reported being comfortable ordering (14/20) CGP though fewer expressed comfort with interpretation (9/20) CGP; provider-reported barriers included cost/insurance for targeted therapies (12/20) and distance to clinical trials (14/20). Conclusions: Successful academic-community partnerships to expand access to CGP, clinical trials, and targeted therapies are feasible when supported by fit-for-purpose informatics tools and scalable workflows. Additional work is required to develop comprehensive solutions that ensure equal access to CGP and precision medicine for all patients.

Female, N (%)28 (45.2%)
Age at testing, median (range)65 (27-87)
Race, N (%)
Black20 (32.3%)
Native American13 (21.0%)
White26 (41.9%)
Asian0 (0%)
Unknown3 (4.8%)
Hispanic Ethnicity, N (%)3 (4.8%)
Biomarker Clinical Evidence level, N (%)
FDA-approved therapy13 (21.0%)
Off-label therapy5 (8.1%)
Clinical trial inclusion16 (25.8%)
Therapeutic resistance12 (19.4%)
Germline implications6 (9.7%)
Other9 (14.5%)
None24 (38.7%)
Days from metastatic disease to NGS, median (range)
All Cancers64 (0 to 2277)
NSCLC85 (32 to 818)

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Abstract Details

Meeting

2023 ASCO Annual Meeting

Session Type

Publication Only

Session Title

Publication Only: Care Delivery and Regulatory Policy

Track

Care Delivery and Quality Care

Sub Track

Care Delivery

Citation

J Clin Oncol 41, 2023 (suppl 16; abstr e13514)

DOI

10.1200/JCO.2023.41.16_suppl.e13514

Abstract #

e13514

Abstract Disclosures

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