Abstract 1185P
Background
The escalating use of thoracic and abdominal computed tomography (CT) scans, in part owing to greater compliance with lung cancer screening programs in many countries, has led to an increase in the discovery of pulmonary nodules. The management of each pulmonary nodule is based on an evaluation of imaging and patient history to ascertain its malignancy risk using guidelines from leading medical societies. The incorporation of a molecular diagnostic tool, such as an assay that detects circulating tumor DNA (ctDNA) and differentiates between benign and malignant pulmonary nodules,will allow physicians to refine their treatment plans, offer a more personalized and precise approach to patient care, and optimize therapeutic outcomes. Here, we present the performance of a novel assay designed to detect lung nodule ctDNA from a blood draw, highlighting its potential to meaningfully impact clinical decision making.
Methods
The assay’s performance was established in a cohort of 50 lung cancer samples, 54 samples from patients with common comorbidities or benign pulmonary nodules, and 87 presumed normal samples. cfDNA was extracted from double-spun plasma, processed into libraries, and underwent low pass whole genome sequencing (LP-WGS). Sequencing data was processed through Genece Health’s proprietary machine learning classifier.
Results
Our results demonstrate >90% sensitivity and >85% specificity in clinical concordance testing. There was a significant (P<0.01) difference between the classifier’s final cancer prediction scores in the group with malignant pulmonary nodules when compared to the benign pulmonary nodules, COPD, and smoking groups. Reproducibility and precision testing showed concordance in results of >90%. The assay’s clinical Limit of Detection was established in a cohort of early-stage lung cancer samples in which sensitivity of the assay was >85% in stage I samples, and >90% in stage II samples.
Conclusions
We demonstrate reproducible and robust performance of the Genece Health Lung Assay to detect lung cancer, across all stages of the disease, by specifically identifying ctDNA from a blood draw. This assay will provide critical insights to clinicians as they care for an increasing number of patients with lung nodules.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Genece Health.
Funding
The sample acquisition for this study was undertaken by MT Group, sponsored by Genece Health.
Disclosure
M. Siegel, J. Kibler: Financial Interests, Personal, Full or part-time Employment: MT Group. K. Fathe: Financial Interests, Institutional, Stocks or ownership: Genece Health; Financial Interests, Personal, Stocks/Shares: ChromaCode Inc. A. Carson, M. Wang, K. Cabrera, M. Smith, B.I. Lee, M. Francis: Financial Interests, Institutional, Stocks or ownership: Genece Health. B. Leatham: Financial Interests, Institutional, Stocks or ownership: Genece Health, ChromaCode. M. Salmans: Financial Interests, Institutional, Stocks or ownership: Genece Health; Financial Interests, Personal, Stocks/Shares: Illumina.
Resources from the same session
1192P - Optimizing lung cancer screening: Independent verification of an AI/ML computer-aided detection and characterization software as medical device
Presenter: Sylvain Bodard
Session: Poster session 09
1194P - Development of a novel artificial intelligence (AI) algorithm to detect pulmonary nodules on chest radiography
Presenter: Mitsunori Higuchi
Session: Poster session 09
1195P - Whole-body magnetic resonance imaging (WB-MRI) screening in Li Fraumeni syndrome for early cancer diagnosis: The SIGNIFIED project
Presenter: Elena Cojocaru
Session: Poster session 09
1196P - Organoid growth-based oncological sensitivity test (OncoSensi) for predicting adjuvant therapy outcomes in ovarian cancer patients
Presenter: Dong Woo Lee
Session: Poster session 09
1197P - Ex vivo basket study reports patient-specific sensitivity to carboplatin versus cisplatin in lung, ovarian and bladder cancer
Presenter: Debbie Robbrecht
Session: Poster session 09
1198P - Analytical validation of an NGS panel-based ecDNA detection device for use as a clinical trial assay for the POTENTIATE clinical study of the novel CHK1 inhibitor, BBI-355
Presenter: Pontis Julien
Session: Poster session 09