Identifying and validating molecular subtypes of biliary atresia using multiple high-throughput data integration analysis.

ABSTRACT:

Background

Biliary atresia (BA) is the most common form of severe neonatal obstructive jaundice. The etiology and pathogenesis of BA are multifactorial, and different factors may interact to produce heterogeneous pathological features and clinical outcomes. Despite different pathological features, all patients received the same treatment strategy. This study performed integrative clustering analysis based on multiple high-throughput datasets to identify the molecular subtypes of BA and provide a new treatment strategy for personalized treatment of the different subtypes of BA.

Methods

The RNA sequence dataset GSE122340 in the Gene Expression Omnibus (GEO) database was downloaded; 31 BA and 20 control normal liver tissues were collected at our center for transcriptome sequenc

SUBMITTER: Wang D 

PROVIDER: S-EPMC9878701 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature