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The cells are characterized by high levels of endoplasmic reticulum stress (ERS) and depend on the ERS response for survival. Thus, we aim to find an ERS\u2010related signature of MM and assess its diagnostic value.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We downloaded three datasets of MM from the Gene Expression Omnibus database. After identifying ERS\u2010related differentially expressed genes (ERDEGs), we analyzed them using Gene Ontology enrichment analysis. A protein\u2013protein interaction network, a transcription factor\u2013mRNA network, a miRNA\u2013mRNA network and a drug\u2013mRNA network were constructed to explore the ERDEGs. The clinical application of these genes was identified by calculating the infiltration of immune cells and using receiver operating characteistic analyses. Finally, qPCR was performed to further confirm the roles of ERDEGs.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We obtained nine ERDEGs of MM. Gene Ontology enrichment indicated that the ERDEGs played a role in the endoplasmic reticulum membrane. Additionally, the protein\u2013protein interaction network showed interaction among the ERDEGs, and there were 20 proteins, 107 transcription factors, 42 drugs or molecular compounds and 51 miRNAs which were likely to interact with the nine genes. In addition, immune cell infiltration analyses showed that there was a strong correlation between the nine genes and immune cells, and these potential biomarkers exhibited good diagnostic values. Finally, the expression of ERDEGs in MM cells was different from that in healthy donor samples.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The nine ERS\u2010related genes, CR2, DHCR7, DNAJC3, KDELR2, LPL, OSBPL3, PINK1, VCAM1 and XBP1 are potential biomarkers of MM, and this supports further clinical development of the diagnosis and treatment of MM.<\/jats:p><\/jats:sec>","DOI":"10.1002\/jgm.3595","type":"journal-article","created":{"date-parts":[[2023,9,21]],"date-time":"2023-09-21T01:25:41Z","timestamp":1695259541000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Integrative analysis of an endoplasmic reticulum stress\u2010related signature in multiple myeloma"],"prefix":"10.1002","volume":"26","author":[{"given":"Chengyu","family":"Wu","sequence":"first","affiliation":[{"name":"Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center 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