Identification of a novel bile marker clusterin and a public online prediction platform based on deep learning for cholangiocarcinoma.

ABSTRACT:

Background

Cholangiocarcinoma (CCA) is a highly aggressive malignant tumor, and its diagnosis is still a challenge. This study aimed to identify a novel bile marker for CCA diagnosis based on proteomics and establish a diagnostic model with deep learning.

Methods

A total of 644 subjects (236 CCA and 408 non-CCA) from two independent centers were divided into discovery, cross-validation, and external validation sets for the study. Candidate bile markers were identified by three proteomics data and validated on 635 clinical humoral specimens and 121 tissue specimens. A diagnostic multi-analyte model containing bile and serum biomarkers was established in cross-validation set by deep learning and validated in an independent external cohort.

Results

The results of proteom

SUBMITTER: Gao L 

PROVIDER: S-EPMC10408060 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature