Abstract 5271
Background
Clinical trials improve our knowledge of diseases and treatments while providing patients access to investigational agents. However, approximately 3% of newly diagnosed cancer patients are enrolled in clinical trials in the United States. Identifying an appropriate trial for a patient is time-consuming and cumbersome in the busy clinical practice. The Watson for Clinical Trial Matching (CTM) cognitive system uses AI to derive patient and cancer-related attributes from structured and unstructured text found in the electronic health record. These attributes are matched to complex eligibility criteria in clinical trial protocols.
Methods
In April 2019, a pilot study was launched to test the feasibility of implementing CTM in Gastrointestinal (GI) oncology at Mayo Clinic in Rochester, MN. Two clinical research coordinators (CRCs) screened patients for potential clinical trials prior to their clinic visits using both CTM and the traditional manual screening method. To avoid bias, each CRC screened a separate set of patients by both methods alternating which methodology was used first. The clinical trial match results were blinded to both CRCs. For each method, time to complete the screen and number of potential clinical trial matches were recorded.
Results
A total of 35 GI cancer patients with new diagnosis, recent resection or restaging scans were analyzed. Patients were evaluated against 50 GI-specific drug therapy and multi-disease phase I clinical trials. Clinical trial matching using CTM took an average of 10.1 minutes (Range: 4 to 20 min) per patient compared to an average of 30.5 minutes (Range: 5 to 75 min) per patient (p < 0.0001) using the manual method. CTM identified an average of 7.66 clinical trials (Range: 0-16) while the manual screening method identified an average of 1.97 clinical trials (Range: 0 to 6) per patient (p < 0.0001).
Conclusions
Implementation of Watson for CTM system with a CRC team may enable high volume patient screening for a large number of clinical trials in an efficient manner and promote awareness of clinical trial opportunities within the GI oncology practice. Further analysis to evaluate CTM accuracy and impact on enrollment is warranted and currently underway.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Mayo Clinic.
Disclosure
T. Haddad: Advisory / Consultancy: TerSera Therapeautics; Research grant / Funding (self): Takeda. S. Coverdill: Full / Part-time employment: IBM Watson Health; Shareholder / Stockholder / Stock options: IBM. M. Rammage: Full / Part-time employment: IBM Watson Health; Licensing / Royalties: IBM. All other authors have declared no conflicts of interest.
Resources from the same session
4506 - Single intravenous preoperative administration of the oncolytic virus Pexa-Vec to prime anti-tumor immunity
Presenter: Adel Samson
Session: Poster Display session 3
Resources:
Abstract
1631 - Randomized phase 2 clinical trial of NY-ESO-1 protein vaccine combined with cholesteryl pullulan (CHP-NY-ESO-1) in resected esophageal cancer patients
Presenter: Shinichi Kageyama
Session: Poster Display session 3
Resources:
Abstract
4244 - T cell repertoire sequencing reveals dynamics of response to dendritic cell vaccine plus dasatinib for checkpoint blockade resistant metastatic melanoma
Presenter: Luca Quagliata
Session: Poster Display session 3
Resources:
Abstract
5791 - Ixovex, a novel oncolytic E1B-mutated adenovirus
Presenter: Mohiemen Anwar
Session: Poster Display session 3
Resources:
Abstract
4170 - Anti-CSPG4 DNA vaccination as a promising strategy for the treatment of CSPG4+ tumors: a comparative oncology trial
Presenter: Federica Riccardo
Session: Poster Display session 3
Resources:
Abstract
5780 - Antitumor activity, immunogenicity and safety of a novel PD-1 vaccine in combination with two chimeric HER-2 peptide vaccine in syngeneic Balb/c, C57Bl/6 models and in beagle dogs
Presenter: Pravin Kaumaya
Session: Poster Display session 3
Resources:
Abstract
5860 - Maternal immunization against ALK as a weapon to fight neuroblastoma
Presenter: Giuseppina Barutello
Session: Poster Display session 3
Resources:
Abstract
4720 - Phase 1 study evaluating safety, pharmacokinetics (PK), pharmacodynamics, and preliminary efficacy of ABBV-428, first-in-class mesothelin (MSLN)-CD40 bispecific, in patients (pts) with advanced solid tumors
Presenter: Jason Luke
Session: Poster Display session 3
Resources:
Abstract
5717 - Anti-PD-L1/IL-15 fusion protein generates robust adaptive immune gene signatures in tumors leading to tumor inhibition and memory responses
Presenter: Stella Martomo
Session: Poster Display session 3
Resources:
Abstract
1802 - Evaluation of the anti-tumor efficacy and immune effects of N-809, a novel IL-15 superagonist/anti-PD-L1 bispecific agent
Presenter: Kristin Hicks
Session: Poster Display session 3
Resources:
Abstract