A noninvasive multi-analytic approach for lung cancer screening of patients with pulmonary nodules.
First Author: Hong Zheng, Department of Thoracic Surgery, Xinqiao Hospital, Chongqing, China
|1550 Poster Session (Board #42), Fri, 8:00 AM-11:00 AM|
Prior to surgery, each patient was also subject to cell-free DNA-based sequencing for DNA mutation and DNA methylation profiling, as well as serum protein biomarker profiling.
On the 30-patient independent validation cohort, individual prediction models based on clinical information, protein marker, ctDNA mutation, and ctDNA methylation profiles achieved predictive AUC of 0.59, 0.48, 0.71, and 0.84, respectively. The final ensemble model achieved predictive AUC of 0.86, which has strongly indicated that an integrative, algorithmbased approach of multi-analytic molecular and clinical profiles greatly outperforms any single-analytic profiling.