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Dataset Information

Development and validation of a novel stem cell subtype for bladder cancer based on stem genomic profiling.


ABSTRACT:

Background

Bladder cancer (BLCA) is the fifth most common type of cancer worldwide, with high recurrence and progression rates. Although considerable progress has been made in the treatment of BLCA through accurate typing of molecular characteristics, little is known regarding the various genetic and epigenetic changes that have evolved in stem and progenitor cells. To address this issue, we have developed a novel stem cell typing method.

Methods

Based on six published genomic datasets, we used 26 stem cell gene sets to classify each dataset. Unsupervised and supervised machine learning methods were used to perform the classification.

Results

We classified BLCA into three subtypes-high stem cell enrichment (SCE_H), medium stem cell enrichment (SCE_M), and low stem cel

SUBMITTER: Tang C 

PROVIDER: S-EPMC7594303 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature