Background: In a previous study (Goebel et. al, Cancer Genomics Proteomics 16:229-244, 2019), we identified 33\nbiomarkers for an early stage (I-II) Non-Small Cell Lung Cancer (NSCLC) test with 90% accuracy, 80.3% sensitivity,\nand 95.4% specificity. For the current study, we used a narrowed ensemble of 21 biomarkers while retaining similar\naccuracy in detecting early stage lung cancer.\nMethods: A multiplex platform, 486 human plasma samples, and 21 biomarkers were used to develop and validate\nour algorithm which detects early stage NSCLC. The training set consisted of 258 human plasma with 79 Stage I-II\nNSCLC samples. The 21 biomarkers with the statistical model (Lung Cancer Detector Test 1, LCDT1) was then\nvalidated using 228 novel samples which included 55 Stage I NSCLC.\nResults: The LCDT1 exhibited 95.6% accuracy, 89.1% sensitivity, and 97.7% specificity in detecting Stage I NSCLC on\nthe blind set. When only NSCLC cancers were analyzed, the specificity increased to 99.1%.\nConclusions: Compared to current approved clinical methods for diagnosing NSCLC, the LCDT1 greatly improves\naccuracy while being non-invasive; a simple, cost-effective, early diagnostic blood test should result in expanding\naccess and increase survival rate.
Loading....