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Implementing Timely Germline Genetic Testing for Patients With Pancreatic Cancer Using a Genetics Copilot for

Sophie Moravec¹, Laura V Barton², Revathy Suresh²

¹Department of Gastrointestinal Oncology, Moffitt Cancer Center, Tampa, FL.

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Summary

A new coordinator-led workflow significantly boosted germline multigene panel testing (MGPT) uptake in pancreatic cancer patients. This digital approach also reduced testing turnaround time, improving patient care.

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Area of Science:

Oncology
Genetics
Healthcare Management

Background:

Pancreatic ductal adenocarcinoma (PDAC) is a leading cause of cancer death.
National guidelines recommend germline multigene panel testing (MGPT) for PDAC patients, but uptake is low (6%-19%) due to under-referral and limited genetic counseling resources.

Purpose of the Study:

To evaluate a coordinator-led and digitally supported workflow to increase MGPT uptake and reduce turnaround time (TAT) for PDAC patients.
To assess the feasibility and impact of a digital tool integrated into a genetic risk education coordinator (GREC) model.

Main Methods:

The Genetic Information for Treatment Decisions (GIFTD) Initiative used a GREC as a liaison.
The GIFTD Partially Automated Nest Copilot (G-PANC) tool was developed for digital education and interest assessment.
Outcomes measured included education completion, MGPT uptake, and TAT across baseline, GREC-only, and G-PANC phases.

Main Results:

Over 1 year, 73% of invited PDAC patients activated G-PANC accounts, and 80% completed digital genetic education.
MGPT uptake increased from 43% (baseline) to 80% (GREC-only) and remained high at 77% (G-PANC).
Turnaround time (TAT) decreased from 54 days (baseline) to 30 days (GREC-only) and further to 22 days (G-PANC).

Conclusions:

A coordinator-led workflow significantly increased MGPT uptake and reduced TAT for PDAC patients.
Integrating digital education was feasible, maintained high testing rates, and further decreased TAT.
Prospective studies are needed to determine the independent impact of digital automation.