Serum Lipidomic Fingerprints Encode Early Diagnosis and Staging of Lung Cancer on a Novel PbS/Au-Layered Substrate

• DOI: 10.1021/acsami.3c03693
• Publication Date: 2023-07-18T19:15:24Z
• Authors: Xiaopin Lai; Kaiqing Liang; Yang Su; Kunbin Guo; Xin Wang; Yanpei Wan; Cuiqiong Ye; Chengke Zhou; Rongjia Chen; Wenhua Gao; Yuping Chen; Wen Lin; Wenxiu Ni; Yan Lin; Kwan-Ming Ng
• Keywords: Lung Neoplasms; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Lipidomics; Humans; Metal Nanoparticles; Gold; Early Detection of Cancer; Biomarkers; 3. Good health

Lung cancer (LC) is a major cause of mortality among malignant tumors. Early diagnosis through lipidomic profiling can improve prognostic outcomes. In this study, uniform PbS/Au-layered substrate that enhances the laser desorption/ionization process, an interfacial process triggered on surface upon excitation, was designed to efficiently characterize profiles LC patient serum. By controlling stacking arrangement and particle sizes PbS QDs AuNPs, optimized promotes generation excited electrons creates enhanced electric field polarizes analyte molecules, facilitating ion adduction formation ([M + Na]+ [M K]+) enhancing detection sensitivity down femtomole level. Combining multivariate statistics machine learning, distinct biomarker panel successfully identified for early staging LC, with accurate prediction validated by area under curve 0.9479 0.9034, respectively. We also found 18 biomarkers were significantly correlated six metabolic pathways associated LC. These results demonstrate potential innovative as sensitive platform facilitate development lipidomic-based diagnostic tools other cancers.