Exploring natural killer cell-related biomarkers in multiple myeloma: a novel nature killer cell-related model...

Area of Science:

• Immunology
• Oncology
• Bioinformatics

Background:

• Natural killer (NK) cells are implicated in the progression of multiple myeloma (MM).
• Identifying NK cell-related biomarkers is crucial for understanding MM pathogenesis.

Purpose of the Study:

• To elucidate the correlation between NK cells and MM progression.
• To identify novel NK cell-related biomarkers for MM prognosis.
• To develop a prognostic model for predicting patient outcomes and immunotherapy response.

Main Methods:

• Single-cell transcriptome analysis including cell annotation, communication, and pseudotime analysis.
• Gene Ontology, KEGG, and PPI network analyses for NK-related differentially expressed genes (DEGs).
• Construction and validation of a prognostic risk model using Cox and LASSO regression.

Main Results:

• Identification of 8 NK-related DEGs from 123 PPI network genes.
• Development of a validated prognostic model for MM.
• Significant differences in immune cell infiltration between high- and low-risk groups.

Conclusions:

• A novel prognostic model associated with NK cells for MM has been developed and validated.
• The model offers insights into predicting patient outcomes and immunotherapy response.
• Potential drug targets for enhancing immunotherapy efficacy in MM were identified.