2023 World Conference on Lung Cancer (Posters)-EP04.01. The Combination of a Seven-Autoantibody Panel with Computed Tomography Scanning Can Enhance the Diagnostic Efficiency of Lung Cancer

EP04.01. The Combination of a Seven-Autoantibody Panel with Computed Tomography Scanning Can Enhance the Diagnostic Efficiency of Lung Cancer - PDF(Slides)

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A new study conducted by researchers at Zhejiang University School of Medicine in China has found that combining a seven-autoantibody panel with computed tomography (CT) scanning can improve the accuracy of diagnosing lung cancer. The popularity of low-dose CT scanning has led to an increase in the detection of lung nodules, but it lacks the accuracy to distinguish between benign nodules and early-stage lung cancer, resulting in false-positive results and unnecessary follow-up or surgical procedures.<br /><br />The seven-autoantibody (7-AAB) panel consists of p53, PGP9.5, SOX2, GAGE7, GBU4-5, MAGEA1, and CAGE. The panel was detected using an indirect enzyme-linked immunosorbent assay (ELISA) method, which showed high specificity and positive predictive value. In a retrospective study, serum concentrations of all seven autoantibodies were found to be higher in patients with non-small cell lung cancer (NSCLC) compared to healthy individuals. The cutoff values for the 7-AABs were determined as the mean OD value three standard deviations above the healthy group.<br /><br />The diagnostic performance of the 7-AAB panel was validated in a large Chinese population, and it was found to have better specificity and positive predictive value compared to CT and PET-CT scans. When combined with CT, the specificity and positive predictive value of the 7-AAB panel reached a higher level, helping to avoid unnecessary follow-up. Additionally, a nomogram was established based on gender, age, smoking history, 7-AAB panel, and CT imaging characteristics, which accurately predicted the probability of malignant disease.<br /><br />The study also evaluated the value of the 7-AAB panel in predicting prognosis and formulating treatment options. The 7-AAB positive group had a higher proportion of EGFR mutations and lower rates of ErbB2 and ROS1 fusion mutations. They also showed lower differentiation degrees, more advanced pathological stages, and higher Ki-67 indexes, indicating high malignancy and rapid proliferation.<br /><br />In conclusion, combining a seven-autoantibody panel with CT scanning can enhance the diagnostic efficiency of lung cancer and provide important prognostic information. The findings of this study contribute to improving the accuracy of lung cancer diagnosis and may help guide treatment decisions.

Asset Subtitle

Tianyu He

Meta Tag

Speaker Tianyu He

Topic Screening & Early Detection: Biomarkers/Imaging Technology

Keywords

lung cancer

diagnosis

seven-autoantibody panel

computed tomography

accuracy

false-positive results

follow-up procedures

enzyme-linked immunosorbent assay

specificity

prognosis