2023 World Conference on Lung Cancer (Posters)-P1.13. A Novel Blood-Based DNAMethylation Panel for Detection of Lung Cancer at Very Early Stage

P1.13. A Novel Blood-Based DNAMethylation Panel for Detection of Lung Cancer at Very Early Stage - PDF(Abstract)

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A study presented at the WCLC 2023 conference discussed the development of a novel blood-based DNA methylation panel for the early detection of lung cancer (LC). The researchers aimed to develop a diagnostic tool that could identify LC patients at very early stages, as the prognosis and survival rates greatly depend on the stage at initial diagnosis. The study involved quantitatively measuring the DNA methylation levels of five candidate genes using mass spectrometry. The researchers utilized a training cohort of 740 healthy controls and 650 LC cases to develop an early detection model, which was then validated in a separate cohort of 269 healthy controls and 195 LC cases. Notably, the majority of LC cases included in the study were at Stage I. <br /><br />The results showed that the methylation model of the five genes, covering 35 CpG sites, achieved an area under the curve (AUC) of 0.873 in the training set and an AUC of 0.869 in the validation set. The sensitivity and specificity of the model were 78.2% and 81.0% in the training set, and 83.0% and 80.8% in the validation set, respectively. The performance of the model was also maintained when analyzing subgroups of Stage I and Stage IA LC cases.<br /><br />The study suggests that the blood-based DNA methylation panel has the potential to be a useful tool for the early detection of LC. This could lead to improved overall survival rates and benefit more LC patients. The keywords associated with the study are lung cancer, early detection, and DNA methylation. The abstract falls under the "Screening and Early Detection" track of the conference.

Asset Subtitle

Rongxi Yang

Meta Tag

Speaker Rongxi Yang

Topic Screening & Early Detection: Biomarkers/Imaging Technology

Keywords

WCLC 2023 conference

blood-based DNA methylation panel

lung cancer

early detection

prognosis

survival rates

stage at initial diagnosis

mass spectrometry

training cohort

validation cohort