<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><submitter>Zhang D</submitter><funding>Joint Funds for the Innovation of Science and Technology, Fujian Province</funding><funding>Science Fund Program for Excellent Young Scientists of Fujian</funding><funding>Guiding Projects of Fujian Province</funding><funding>National Natural Science Foundation of China</funding><pubmed_abstract>The presence of a micropapillary (MPP) component is a crucial determinant of surgical strategies for lung adenocarcinoma (LUAD), yet reliable blood biomarkers for predicting MPP⁺ LUAD remain elusive. Here, we integrate 4D label-free quantitative proteomics, a nanomixing-enhanced microfluidic surface-enhanced Raman spectroscopy (SERS) platform, and machine learning to sensitively identify and validate blood protein biomarkers associated with MPP⁺ LUAD. Comparative proteomics reveal 44 differentially expressed proteins (DEPs) between MPP⁺ and MPP⁻ LUADs, with bioinformatics uncovering their roles in MPP⁺ LUAD formation. To enable sensitive, multiplex detection of 4 upregulated DEPs, the nanomixing effect is leveraged to enhance target protein-SERS barcode interactions while minimizing nonspe</pubmed_abstract><journal>Advanced science (Weinheim, Baden-Wurttemberg, Germany)</journal><pagination>e2501336</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12224922</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Proteomics-Empowered Microfluidic-SERS Immunoassay for Identifying and Detecting Biomarkers of Micropapillary Lung Adenocarcinoma.</pubmed_title><pmcid>PMC12224922</pmcid><funding_grant_id>2021Y9228</funding_grant_id><funding_grant_id>2023Y0053</funding_grant_id><funding_grant_id>2024J09030</funding_grant_id><funding_grant_id>12074069</funding_grant_id><pubmed_authors>Zhang D</pubmed_authors><pubmed_authors>Chen Y</pubmed_authors><pubmed_authors>Xu H</pubmed_authors><pubmed_authors>Wang J</pubmed_authors><pubmed_authors>Peng K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Proteomics-Empowered Microfluidic-SERS Immunoassay for Identifying and Detecting Biomarkers of Micropapillary Lung Adenocarcinoma.</name><description>The presence of a micropapillary (MPP) component is a crucial determinant of surgical strategies for lung adenocarcinoma (LUAD), yet reliable blood biomarkers for predicting MPP⁺ LUAD remain elusive. Here, we integrate 4D label-free quantitative proteomics, a nanomixing-enhanced microfluidic surface-enhanced Raman spectroscopy (SERS) platform, and machine learning to sensitively identify and validate blood protein biomarkers associated with MPP⁺ LUAD. Comparative proteomics reveal 44 differentially expressed proteins (DEPs) between MPP⁺ and MPP⁻ LUADs, with bioinformatics uncovering their roles in MPP⁺ LUAD formation. To enable sensitive, multiplex detection of 4 upregulated DEPs, the nanomixing effect is leveraged to enhance target protein-SERS barcode interactions while minimizing nonspe</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 May</publication><modification>2025-07-28T03:03:43.031Z</modification><creation>2025-07-28T03:03:43.031Z</creation></dates><accession>S-EPMC12224922</accession><cross_references><pubmed>40318161</pubmed><doi>10.1002/advs.202501336</doi></cross_references></HashMap>