Back to Search Start Over

Clinical validation of a spectroscopic liquid biopsy for earlier detection of brain cancer.

Authors :
Cameron JM
Brennan PM
Antoniou G
Butler HJ
Christie L
Conn JJA
Curran T
Gray E
Hegarty MG
Jenkinson MD
Orringer D
Palmer DS
Sala A
Smith BR
Baker MJ
Source :
Neuro-oncology advances [Neurooncol Adv] 2022 Feb 22; Vol. 4 (1), pp. vdac024. Date of Electronic Publication: 2022 Feb 22 (Print Publication: 2022).
Publication Year :
2022

Abstract

Background: Diagnostic delays impact the quality of life and survival of patients with brain tumors. Earlier and expeditious diagnoses in these patients are crucial to reduce the morbidities and mortalities associated with brain tumors. A simple, rapid blood test that can be administered easily in a primary care setting to efficiently identify symptomatic patients who are most likely to have a brain tumor would enable quicker referral to brain imaging for those who need it most.<br />Methods: Blood serum samples from 603 patients were prospectively collected and analyzed. Patients either had non-specific symptoms that could be indicative of a brain tumor on presentation to the Emergency Department, or a new brain tumor diagnosis and referral to the neurosurgical unit, NHS Lothian, Scotland. Patient blood serum samples were analyzed using the Dxcover® Brain Cancer liquid biopsy. This technology utilizes infrared spectroscopy combined with a diagnostic algorithm to predict the presence of intracranial disease.<br />Results: Our liquid biopsy approach reported an area under the receiver operating characteristic curve of 0.8. The sensitivity-tuned model achieves a 96% sensitivity with 45% specificity (NPV 99.3%) and identified 100% of glioblastoma multiforme patients. When tuned for a higher specificity, the model yields a sensitivity of 47% with 90% specificity (PPV 28.4%).<br />Conclusions: This simple, non-invasive blood test facilitates the triage and radiographic diagnosis of brain tumor patients while providing reassurance to healthy patients. Minimizing time to diagnosis would facilitate the identification of brain tumor patients at an earlier stage, enabling more effective, less morbid surgical and adjuvant care.<br /> (© The Author(s) 2022. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.)

Details

Language :
English
ISSN :
2632-2498
Volume :
4
Issue :
1
Database :
MEDLINE
Journal :
Neuro-oncology advances
Publication Type :
Academic Journal
Accession number :
35316978
Full Text :
https://doi.org/10.1093/noajnl/vdac024