Single-cell RNA Sequencing Identifies Prognostic Biomarkers in Extramedullary Multiple Myeloma

Our study has proposed a risk score model based on seven identified signature genes for MM prognosis and revealed CD4+ T cells to be a major immune cell type associated with MM progression, contributing to personalized treatment decision-making and precise risk stratification of MM.

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Publication Details

Journal
Current Medicinal Chemistry
Published
2025-05-06
DOI
https://doi.org/10.2174/0109298673352012250414100227
Primary Topic
Multiple Myeloma Research and Treatments
Type
article
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article

Single-cell RNA Sequencing Identifies Prognostic Biomarkers in Extramedullary Multiple Myeloma

Menghan Yang, Fan Yu, Hui Qin
Current Medicinal Chemistry
Multiple Myeloma Research and Treatments
article

Single-cell RNA Sequencing Identifies Prognostic Biomarkers in Extramedullary Multiple Myeloma

Menghan Yang, Fan Yu, Hui Qin
article en

Abstract

Our study has proposed a risk score model based on seven identified signature genes for MM prognosis and revealed CD4+ T cells to be a major immune cell type associated with MM progression, contributing to personalized treatment decision-making and precise risk stratification of MM.

Current Medicinal ChemistryVol. 33(6)
Shanghai Jiao Tong University (CN), Anhui Medical University (CN), Shanghai First People's Hospital (CN), Second Affiliated Hospital of Anhui Medical University (CN)
Good health and well-being
Openalex Percentile: Top 88%
Multiple Myeloma Research and Treatments
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Single-cell RNA Sequencing Identifies Prognostic Biomarkers in Extramedullary Multiple Myeloma — Menghan Yang, Fan Yu, et al. · Current Medicinal Chemistry (2025) | TGRS Research Map | TGRS