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Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data
The etiology of monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM) is still obscure as are the processes that enable the progression of MGUS to MM. Understanding the unique vs. shared transcriptomes can potentially elucidate why individuals develop one or the other....
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394915/ https://www.ncbi.nlm.nih.gov/pubmed/37539132 http://dx.doi.org/10.1016/j.heliyon.2023.e17298 |
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author | Aljabban, Jihad Syed, Sharjeel Syed, Saad Rohr, Michael Mukhtar, Mohamed Aljabban, Hisham Cottini, Francesca Mohammed, Mohammed Hughes, Tiffany Gonzalez, Taylor Panahiazr, Maryam Hadley, Dexter Benson, Don |
author_facet | Aljabban, Jihad Syed, Sharjeel Syed, Saad Rohr, Michael Mukhtar, Mohamed Aljabban, Hisham Cottini, Francesca Mohammed, Mohammed Hughes, Tiffany Gonzalez, Taylor Panahiazr, Maryam Hadley, Dexter Benson, Don |
author_sort | Aljabban, Jihad |
collection | PubMed |
description | The etiology of monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM) is still obscure as are the processes that enable the progression of MGUS to MM. Understanding the unique vs. shared transcriptomes can potentially elucidate why individuals develop one or the other. Furthermore, highlighting key pathways and genes involved in the pathogenesis of MM or the development of MGUS to MM may allow the discovery of novel drug targets and therapies. We employed STARGEO platform to perform three separate meta-analysis to compare MGUS and MM transcriptomes. For these analyses we tagged (1) 101 MGUS patient plasma cells from bone marrow samples and 64 plasma cells from healthy controls (2) 383 MM patient CD138+ cells from bone marrow and the 101 MGUS samples in the first analysis as controls (3) 517 MM patient peripheral blood samples and 97 peripheral blood samples from healthy controls. We then utilized Ingenuity Pathway Analysis (IPA) to analyze the unique genomic signatures within and across these samples. Our study identified genes that may have unique roles in MGUS (GADD45RA and COMMD3), but also newly identified signaling pathways (EIF2, JAK/STAT, and MYC) and gene activity (NRG3, RBFOX2, and PARP15) in MGUS that have previously been shown to be involved in MM suggesting a spectrum of molecular overlap. On the other hand, genes such as DUSP4, RN14, LAMP5, differentially upregulated in MM, may be seen as tipping the scales from benignity to malignancy and could serve as drug targets or novel biomarkers for risk of progression. Furthermore, our analysis of MM identified newly associated gene/pathway activity such as inhibition of Wnt-signaling and defective B cell development. Finally, IPA analysis, suggests the multifactorial, oncogenic qualities of IFNγ signaling in MM may be a unifying pathway for these diverse mechanisms and prompts the need for further studies. |
format | Online Article Text |
id | pubmed-10394915 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-103949152023-08-03 Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data Aljabban, Jihad Syed, Sharjeel Syed, Saad Rohr, Michael Mukhtar, Mohamed Aljabban, Hisham Cottini, Francesca Mohammed, Mohammed Hughes, Tiffany Gonzalez, Taylor Panahiazr, Maryam Hadley, Dexter Benson, Don Heliyon Research Article The etiology of monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM) is still obscure as are the processes that enable the progression of MGUS to MM. Understanding the unique vs. shared transcriptomes can potentially elucidate why individuals develop one or the other. Furthermore, highlighting key pathways and genes involved in the pathogenesis of MM or the development of MGUS to MM may allow the discovery of novel drug targets and therapies. We employed STARGEO platform to perform three separate meta-analysis to compare MGUS and MM transcriptomes. For these analyses we tagged (1) 101 MGUS patient plasma cells from bone marrow samples and 64 plasma cells from healthy controls (2) 383 MM patient CD138+ cells from bone marrow and the 101 MGUS samples in the first analysis as controls (3) 517 MM patient peripheral blood samples and 97 peripheral blood samples from healthy controls. We then utilized Ingenuity Pathway Analysis (IPA) to analyze the unique genomic signatures within and across these samples. Our study identified genes that may have unique roles in MGUS (GADD45RA and COMMD3), but also newly identified signaling pathways (EIF2, JAK/STAT, and MYC) and gene activity (NRG3, RBFOX2, and PARP15) in MGUS that have previously been shown to be involved in MM suggesting a spectrum of molecular overlap. On the other hand, genes such as DUSP4, RN14, LAMP5, differentially upregulated in MM, may be seen as tipping the scales from benignity to malignancy and could serve as drug targets or novel biomarkers for risk of progression. Furthermore, our analysis of MM identified newly associated gene/pathway activity such as inhibition of Wnt-signaling and defective B cell development. Finally, IPA analysis, suggests the multifactorial, oncogenic qualities of IFNγ signaling in MM may be a unifying pathway for these diverse mechanisms and prompts the need for further studies. Elsevier 2023-06-28 /pmc/articles/PMC10394915/ /pubmed/37539132 http://dx.doi.org/10.1016/j.heliyon.2023.e17298 Text en © 2023 Published by Elsevier Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Aljabban, Jihad Syed, Sharjeel Syed, Saad Rohr, Michael Mukhtar, Mohamed Aljabban, Hisham Cottini, Francesca Mohammed, Mohammed Hughes, Tiffany Gonzalez, Taylor Panahiazr, Maryam Hadley, Dexter Benson, Don Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data |
title | Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data |
title_full | Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data |
title_fullStr | Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data |
title_full_unstemmed | Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data |
title_short | Characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of GEO data |
title_sort | characterization of monoclonal gammopathy of undetermined significance progression to multiple myeloma through meta-analysis of geo data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10394915/ https://www.ncbi.nlm.nih.gov/pubmed/37539132 http://dx.doi.org/10.1016/j.heliyon.2023.e17298 |
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