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Dataset Information

Integrative analysis of bulk and single-cell gene expression profiles to identify bone marrow mesenchymal cell heterogeneity and prognostic significance in multiple myeloma.


ABSTRACT:

Background

Multiple myeloma is a hematologic malignancy characterized by complex interactions within the tumor microenvironment, where mesenchymal stem cells (MSCs) contribute significantly to disease progression, immune suppression, and drug resistance.

Methods

This study investigated the heterogeneity of MSCs in multiple myeloma using single-cell RNA sequencing (10X) and bulk transcriptomic data. Further analysis was performed by Seurat, SCENIC, CellChat. GSE4581 and GSE136337 were used as training set and validation set to construct a newly described prognostic model through COX and LASSO.

Results

By analyzing bone marrow samples from healthy donors and multiple myeloma patients at different Revised International Staging System (R-ISS) stages, this study identified

SUBMITTER: Ju FE 

PROVIDER: S-EPMC12172380 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature