Integrative analysis of an endoplasmic reticulum stress-related signature in multiple myeloma

Chengyu Wu1, Mei Liu2, Jia Liu1

  • 1Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

The Journal of Gene Medicine
|September 21, 2023
PubMed
Abstract

Insights

We identified nine endoplasmic reticulum stress-related genes (ERS-RG) as potential diagnostic biomarkers for multiple myeloma (MM). These ERS-RG signatures may aid in the clinical development of new MM diagnostic and therapeutic strategies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Multiple myeloma (MM) is an incurable plasma cell malignancy.
  • MM cells exhibit high endoplasmic reticulum stress (ERS) and rely on its response for survival.
  • Identifying ERS-related molecular signatures is crucial for MM diagnosis and treatment.

Purpose of the Study:

  • To identify an ERS-related gene signature for multiple myeloma (MM).
  • To evaluate the diagnostic value of the identified ERS-related genes in MM.
  • To explore potential therapeutic targets and molecular interactions associated with ERS in MM.

Main Methods:

  • Downloaded and analyzed three MM datasets from the Gene Expression Omnibus database.
  • Identified ERS-related differentially expressed genes (ERDEGs) and performed Gene Ontology enrichment analysis.
  • Constructed protein-protein interaction, transcription factor-mRNA, miRNA-mRNA, and drug-mRNA networks.
  • Assessed immune cell infiltration and diagnostic value using receiver operating characteristic analyses.
  • Validated ERDEG expression using quantitative polymerase chain reaction (qPCR).

Main Results:

  • Identified a signature of nine ERDEGs in MM.
  • ERDEGs are implicated in endoplasmic reticulum membrane functions.
  • Established interaction networks revealing potential molecular partners and drug targets for the ERDEGs.
  • Demonstrated significant correlations between ERDEGs and immune cell infiltration.
  • Confirmed good diagnostic values for these potential MM biomarkers.
  • Observed differential expression of ERDEGs in MM cells compared to healthy donors.

Conclusions:

  • The nine identified ERS-related genes (CR2, DHCR7, DNAJC3, KDELR2, LPL, OSBPL3, PINK1, VCAM1, XBP1) are potential biomarkers for MM.
  • This gene signature holds promise for advancing the clinical diagnosis and treatment of multiple myeloma.
  • Further research into these ERDEGs could uncover novel therapeutic strategies for MM.

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