BIOM-10. CLINICAL PERFORMANCE EVALUATION OF A BRAIN CANCER LIQUID BIOPSY

Abstract Diagnostic delays impact the quality of life and survival of patients with brain cancer. Currently, with no blood test to assist them, clinicians must make their referral decision based on symptoms. Existing symptom-based referral guidelines inadequately stratify patients for brain imaging based on suspicion of cancer. A simple, rapid liquid biopsy placed in a primary care setting would enable more efficient triage of patients with non-specific symptoms related to brain cancer. The Dxcover® Liquid Biopsy is a rapid multi-omic liquid biopsy that interrogates a blood sample with infrared radiation and produces a distinctive signature that represents the whole biomolecular profile of the sample, and is sensitive to the hallmarks of brain cancer. The nature of the technology also allows for the diagnostic models to be tailored towards higher sensitivity (or specificity) depending on clinical priorities and international healthcare markets. In initial feasibility studies, we recruited 988 patients prospectively with non-specific symptoms associated with a brain tumor, and the algorithm detected 96% of the patients with brain tumors and 100% of glioblastomas (GBM), when tuned for greater sensitivity. EMBRACE is a prospective, observational, multicenter study, currently recruiting patients across seven sites in the United Kingdom, Belgium, Sweden and Switzerland. The study duration is 24 months and will recruit a minimum of 2200 participants. The target population is comprised of patients presenting to primary care with non-specific symptoms that are associated with brain cancer, such as headache and new onset neurological defect. The primary objective is to determine the clinical performance of the liquid biopsy for patients with brain cancer, in terms of diagnostic sensitivity and specificity. The test performance will be determined by comparing the liquid biopsy result to diagnostic imaging. Earlier and expeditious diagnoses in these patients are crucial to reduce the morbidities and mortalities associated with brain cancer. This simple, non-invasive liquid biopsy would facilitate the triage of brain tumor patients for rapid imaging.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology
Published
2024-11-01
DOI
https://doi.org/10.1093/neuonc/noae165.0083
Citations
1
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.44
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BIOM-10. CLINICAL PERFORMANCE EVALUATION OF A BRAIN CANCER LIQUID BIOPSY

James Cameron, Holly J. Butler, Arnaud Lazarus, Tobias Weiß et al.
1 citations
Neuro-Oncology
Glioma Diagnosis and Treatment
0.44
article

BIOM-10. CLINICAL PERFORMANCE EVALUATION OF A BRAIN CANCER LIQUID BIOPSY

James Cameron, Holly J. Butler, Arnaud Lazarus, Tobias Weiß, Paul Brennan, Isaac Phang, Matthew Baker, Michael D. Jenkinson, Γεώργιος Αντωνίου, Ryan Mathew, David Scott Palmer, Alexandra Sala, Senada Koljenović, Asgeir Store Jakola, Ewan Gray, D. Eustace
article en
1 citations

Abstract

Abstract Diagnostic delays impact the quality of life and survival of patients with brain cancer. Currently, with no blood test to assist them, clinicians must make their referral decision based on symptoms. Existing symptom-based referral guidelines inadequately stratify patients for brain imaging based on suspicion of cancer. A simple, rapid liquid biopsy placed in a primary care setting would enable more efficient triage of patients with non-specific symptoms related to brain cancer. The Dxcover® Liquid Biopsy is a rapid multi-omic liquid biopsy that interrogates a blood sample with infrared radiation and produces a distinctive signature that represents the whole biomolecular profile of the sample, and is sensitive to the hallmarks of brain cancer. The nature of the technology also allows for the diagnostic models to be tailored towards higher sensitivity (or specificity) depending on clinical priorities and international healthcare markets. In initial feasibility studies, we recruited 988 patients prospectively with non-specific symptoms associated with a brain tumor, and the algorithm detected 96% of the patients with brain tumors and 100% of glioblastomas (GBM), when tuned for greater sensitivity. EMBRACE is a prospective, observational, multicenter study, currently recruiting patients across seven sites in the United Kingdom, Belgium, Sweden and Switzerland. The study duration is 24 months and will recruit a minimum of 2200 participants. The target population is comprised of patients presenting to primary care with non-specific symptoms that are associated with brain cancer, such as headache and new onset neurological defect. The primary objective is to determine the clinical performance of the liquid biopsy for patients with brain cancer, in terms of diagnostic sensitivity and specificity. The test performance will be determined by comparing the liquid biopsy result to diagnostic imaging. Earlier and expeditious diagnoses in these patients are crucial to reduce the morbidities and mortalities associated with brain cancer. This simple, non-invasive liquid biopsy would facilitate the triage of brain tumor patients for rapid imaging.

Neuro-OncologyVol. 26(Supplement_8)
University of Liverpool (GB), University of Lancashire (GB), Leeds Teaching Hospitals NHS Trust (GB), Walton Centre (GB), University Hospital of Zurich (CH), Antwerp University Hospital (BE), Royal Preston Hospital (GB), University of Gothenburg (SE), University of Edinburgh (GB)
Openalex Percentile: Top 31%
Glioma Diagnosis and Treatment
0.44
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.