Prognostic value assessment and in vitro validation of mitochondria-ferroptosis-related genes in multiple myeloma

Jing Wu1, Chen Li2, Jiayou Zhang1

  • 1Department of Hematology, The Second Affiliated Hospital of Chengdu Medical College, Nuclear Industry 416 Hospital, Chengdu, 610051, China.

Scientific Reports
|November 25, 2025
PubMed

Insights

This study identifies five key mitochondria-ferroptosis-related genes (MFRGs) as crucial prognostic markers for multiple myeloma (MM). These MFRGs offer new insights for predicting MM patient outcomes and potential therapeutic targets.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Multiple myeloma (MM) is a plasma cell malignancy.
  • Mitochondria-related genes (MRGs) influence ferroptosis.
  • The role of mitochondria-ferroptosis-related genes (MFRGs) in MM is under-researched.

Purpose of the Study:

  • To identify key MFRGs associated with MM prognosis.
  • To develop a predictive model for MM treatment using MFRGs.
  • To validate the expression of identified prognostic MFRGs.

Main Methods:

  • Transcriptomic data from public databases were analyzed.
  • Differential expression analysis and MFRG intersection identified candidate genes.
  • Regression analysis, prognostic analysis, and nomogram construction were performed.
  • RT-qPCR validated gene expression levels.

Main Results:

  • Five MFRGs (GPR15, NLRP7, ZNF208, PRDM13, CRIM1) were identified as prognostic genes for MM.
  • A robust predictive model and nomogram incorporating risk score and age were developed.
  • Significant correlations were found between risk score, MFRGs, and immune cells.
  • RT-qPCR confirmed differential expression of NLRP7, PRDM13, GPR15, and CRIM1 in MM.

Conclusions:

  • The identified five MFRGs serve as significant prognostic biomarkers for multiple myeloma.
  • The developed predictive model and nomogram offer valuable tools for MM prognosis.
  • These findings provide a basis for exploring MFRGs in MM treatment strategies.

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