LcProt: Proteomics-based identification of plasma biomarkers for lung cancer multievent, a multicentre study.

ABSTRACT:

Background

Plasma protein has gained prominence in the non-invasive predicting of lung cancer. We utilised Zeolite Zotero NaY-based plasma proteomics to investigate its potential for multiple event predicting, including lung cancer diagnosis (task #1), lymph node metastasis detection (task #2) and tumour‒node‒metastasis (TNM) staging (task #3).

Methods

A total of 4703 plasma proteins were quantified from 241 participants based on a prospective cohort of 2757 participants. An additional 46 participants from external prospective cohort of 735 participants were used for validation. Feature selection was performed using differential expressed protein analysis, area under curve (AUC) evaluation and least absolute shrinkage and selection operator (LASSO) regression. Random forest

SUBMITTER: Liang H 

PROVIDER: S-EPMC11714244 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature