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April 5, 2026Cancer Research

Abstract 6327: Translation of lung cancer biomarkers from nanoparticle-based LCMS to enzyme-linked immunosorbent assay

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Authors

NHNga T. HoJCJinlyung ChoiGSGuanhua Shu

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Overview

This research translates lung cancer biomarkers from nanoparticle-based LCMS to ELISA, indicating effective screening potential for patients.

Key Points

  • The study aims to investigate the feasibility of translating lung cancer biomarkers identified via LCMS into an enzyme-linked immunosorbent assay.
  • Conducted a multi-omics discovery study for lung cancer biomarkers
  • Utilized a machine-learning model for data analysis from nanoparticle-based LCMS
  • Translated selected biomarkers to ELISA for validation
  • Evaluated performance metrics like AUROC, specificity, and sensitivity across 404 subjects
  • Achieved an AUROC of 0.93 for LCMS and 0.90 for ELISA models
  • Maintained above 80% specificity at 87.5% sensitivity for LCMS and >70% specificity for ELISA
  • Preserved directionality and fold-changes in biomarker levels between assays
  • Observed statistically significant correlations between assays for lung cancer biomarkers

Cite This Study

Ho et al. (2026) studied this question.

synapsesocial.com/papers/69d1fdbfa79560c99a0a3f42https://doi.org/10.1158/1538-7445.am2026-6327
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