Unknown

Dataset Information

Analysis of Data on Fludarabine, Cyclophosphamide, and Rituximab Chemoimmunotherapy for Chronic Lymphocytic Leukemia Shows High Patient Heterogeneity and the Need for More Consideration of Individualized Treatment.


ABSTRACT:

Methods

Data from single-cell RNA sequencing (RNA-seq) of CLL patients were obtained from the Gene Expression Omnibus database. The R package was utilized to analyze the data, and the relation of results was predicted via the GeneMANIA website. The information of 7 samples covered three stages: observation stage, pretreatment by CIT with rituximab, fludarabine, and cyclophosphamide (pre-CIT), and post-CIT. The differentially expressed genes (DEGs) were identified, and functional enrichment analyses were performed. B cell subpopulations and pseudotime trajectories analysis was conducted.

Results

A total of 70,659 DEGs were identified. Each patient's DEGs presented their own characteristics, with low similarity. Therefore, it is difficult to identify potential hub genes. Simil

SUBMITTER: Xu X 

PROVIDER: S-EPMC9550475 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature