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Published on: September 25, 2018
EarlyCDT®-Lung test: improved clinical utility through additional autoantibody assays
Caroline J Chapman1, Graham F Healey, Andrea Murray
1Centre of Excellence for Autoimmunity in Cancer, The University of Nottingham, Nottingham, UK. Caroline.Chapman@nottingham.ac.uk
Summary
The seven-autoantibody (AAb) panel improves lung cancer detection specificity compared to the six-AAb panel. This enhanced test aids early lung cancer diagnosis in high-risk individuals.
Area of Science:
- Oncology
- Immunology
- Biomarker Discovery
Background:
- Tumor-associated autoantibodies (AAbs) are biomarkers for lung cancer.
- The EarlyCDT®-Lung test aids early lung cancer detection in high-risk groups.
- Improving test specificity enhances cost-effectiveness and reduces false positives.
Purpose of the Study:
- To evaluate the diagnostic performance of a seven-autoantibody (AAb) panel versus a six-AAb panel for lung cancer detection.
- To assess the impact of panel composition on sensitivity and specificity in lung cancer patients and at-risk populations.
Main Methods:
- AAbs to six or seven specific antigens were measured in 235 lung cancer patients and matched controls.
- The panels' sensitivity and specificity were compared in two prospective studies of 776 and 836 individuals at increased risk for lung cancer.
- Performance was analyzed by cancer type, stage, and population risk.
Main Results:
- The seven-AAb panel demonstrated higher specificity (91%, adjusted to 93%) than the six-AAb panel (89%).
- In at-risk populations, the seven-AAb panel increased specificity from 82% to 90% without significantly altering sensitivity.
- The seven-AAb assay achieved an overall accuracy of 92% with a positive predictive value (PPV) of 1 in 8.
Conclusions:
- A seven-autoantibody panel significantly enhances the specificity of lung cancer detection tests.
- The expanded panel improves the accuracy and reliability of early lung cancer screening in high-risk individuals.
- This advancement offers a more cost-effective and less anxiety-provoking approach to lung cancer early detection.

