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Int J Mol Sci ; 23(17)2022 Aug 24.
Article in English | MEDLINE | ID: covidwho-2023742

ABSTRACT

This Special Issue aims to highlight the molecular mechanisms involved in the development and progression of hematologic malignancies such as leukemia, lymphoma, and myeloma [...].


Subject(s)
Hematologic Neoplasms , Leukemia , Lymphoma , Multiple Myeloma , Hematologic Neoplasms/genetics , Hematologic Neoplasms/pathology , Humans , Lymphoma/genetics , Multiple Myeloma/genetics
3.
Int J Lab Hematol ; 43(6): 1325-1333, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1462811

ABSTRACT

BACKGROUND: Multiple myeloma (MM) is a hematological malignancy. Coronavirus disease 2019 (COVID-19) infection correlates with MM features. This study aimed to identify MM prognostic biomarkers with potential association with COVID-19. METHODS: Differentially expressed genes (DEGs) in five MM data sets (GSE47552, GSE16558, GSE13591, GSE6477, and GSE39754) with the same expression trends were screened out. Functional enrichment analysis and the protein-protein interaction network were performed for all DEGs. Prognosis-associated DEGs were screened using the stepwise Cox regression analysis in the cancer genome atlas (TCGA) MMRF-CoMMpass cohort and the GSE24080 data set. Prognosis-associated DEGs associated with COVID-19 infection in the GSE164805 data set were also identified. RESULTS: A total of 98 DEGs with the same expression trends in five data sets were identified, and 83 DEGs were included in the protein-protein interaction network. Cox regression analysis identified 16 DEGs were associated with MM prognosis in the TCGA cohort, and only the cytochrome c oxidase subunit 6C (COX6C) gene (HR = 1.717, 95% CI 1.231-2.428, p = .002) and the nucleotide-binding oligomerization domain containing 2 (NOD2) gene (HR = 0.882, 95% CI 0.798-0.975, p = .014) were independent factors related to MM prognosis in the GSE24080 data set. Both of them were downregulated in patients with mild COVID-19 infection compared with controls but were upregulated in patients with severe COVID-19 compared with patients with mild illness. CONCLUSIONS: The NOD2 and COX6C genes might be used as prognostic biomarkers in MM. The two genes might be associated with the development of COVID-19 infection.


Subject(s)
COVID-19/genetics , Computational Biology/methods , Gene Expression Profiling , Multiple Myeloma/genetics , SARS-CoV-2 , COVID-19/mortality , Datasets as Topic , Electron Transport Complex IV/genetics , Gene Expression Regulation, Neoplastic , Gene Expression Regulation, Viral , Gene Ontology , Humans , Kaplan-Meier Estimate , Microarray Analysis , Neoplasm Proteins/biosynthesis , Neoplasm Proteins/genetics , Nod2 Signaling Adaptor Protein/genetics , Prognosis , Proportional Hazards Models , Protein Interaction Maps/genetics
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