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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.
Affiliation
  • Aljabban J; University of Wisconsin Hospital and Clinics, Department of Medicine, United States.
  • Syed S; University of Chicago Medical Center, Department of Medicine, United States.
  • Syed S; Northwestern Memorial Hospital, Department of Medicine, United States.
  • Rohr M; University of Central Florida College of Medicine, United States.
  • Mukhtar M; Michigan State University College of Human Medicine, United States.
  • Aljabban H; Regis University, United States.
  • Cottini F; Ohio State University Wexner Medical Center, United States.
  • Mohammed M; James Cancer Hospital Solove Research Institute, United States.
  • Hughes T; Windsor University School of Medicine, United States.
  • Gonzalez T; Ohio State University Wexner Medical Center, United States.
  • Panahiazr M; Ohio State University Wexner Medical Center, United States.
  • Hadley D; University of California San Francisco, Department of Surgery, United States.
  • Benson D; University of Central Florida College of Medicine, United States.
Heliyon ; 9(7): e17298, 2023 Jul.
Article in En | MEDLINE | ID: mdl-37539132
ABSTRACT
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Systematic_reviews Language: En Journal: Heliyon Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Systematic_reviews Language: En Journal: Heliyon Year: 2023 Document type: Article Affiliation country: United States
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