Diagnostic plasma small extracellular vesicles miRNA signatures for pancreatic cancer using machine learning methods.

ABSTRACT:

Background

Identifying biomarkers may lead to easier detection and a better understanding of pathogenesis of pancreatic ductal adenocarcinoma (PDAC).

Methods

Plasma small extracellular vesicles (sEV) from 106 participants, including 20 healthy controls (HC), 12 chronic pancreatitis (CP) patients, 12 benign pancreatic tumour (BPT) patients, and 58 PDAC patients, were profiled for microRNA (miRNA) sequencing. Three machine learning methods were applied to establish and evaluate the diagnostic model.

Results

The plasma sEV miRNA diagnostic signature (d-signature) selected using the three machine learning methods could distinguish PDAC patients from non-PDAC individuals, HC, and benign pancreatic disease (BPD, CP plus BPT) both in training and validation cohort. Combining

SUBMITTER: Pu X 

PROVIDER: S-EPMC10730862 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature