Characterization of oncogene dysregulation in multiple myeloma by combined FISH and DNA microarray analyses

Abstract Chromosomal translocations involving the immunoglobulin heavy chain (IGH@) locus and variuos partner loci are frequently associated with multiple myeloma (MM). We investigated the expression profiles of FGFR3/MMSET, CCND1, CCND3, MAF and MAFB genes, respectively involved in t(4;14)(p16.3;q32), t(11;14)(q13;q32), t(6;14)(p21;q32), t(14;16)(q32;q23) and t(14;20)(q32;q12), in purified plasma cell populations from 39 MMs and six plasma cell leukemias (PCL) using DNA microarray analysis, and compared the results with the presence of translocations as assessed by dual-color FISH or RT-PCR. The t(4;14) was found in six MMs, t(11;14) in 9 MMs and 1 PCL, t(6;14) in one MM, t(14;16) in 2 MMs and 1 PCL, and t(14;20) in one PCL. The translocations were associated with the spiked expression of target genes in all cases. Furthermore, gene expression profiling allowed the identification of putative translocations dysregulating CCND1 (1 MM and 1 PCL) and MAFB (1 MM and 1 PCL) without any apparent involvement of immunoglobulin loci. Notably, all of the translocations were mutually exclusive. Markedly increased levels of MMSET expression were found in one MM showing associated FGFR3 and MMSET signals on an unidentified chromosome. Our data suggest the importance of using combined molecular cytogenetic and gene expression approaches to detect genetic aberrations in MM.

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Characterization of the nutrient‐metabolism in Sertoli cells by immunohistochemical and DNA microarray analyses

The FASEB Journal ◽

10.1096/fasebj.23.1_supplement.652.6 ◽

2009 ◽

Vol 23 (S1) ◽

Author(s):

Motoaki Fukasawa ◽

Kimie Atsuzawa ◽

Ayami Matsuzawa ◽

Nobuteru Usuda

Keyword(s):

Dna Microarray ◽

Sertoli Cells ◽

Nutrient Metabolism ◽

Microarray Analyses

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Faculty Opinions recommendation of DNA microarray analyses and interactomic predictions for atopic dermatitis.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1163826.625638 ◽

2009 ◽

Author(s):

Antonella Muraro ◽

Francesca Barbon

Keyword(s):

Atopic Dermatitis ◽

Dna Microarray ◽

Microarray Analyses

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Bone Pain in Multiple Myeloma (BPMM)—A Protocol for a Prospective, Longitudinal, Observational Study

Cancers ◽

10.3390/cancers13071596 ◽

2021 ◽

Vol 13 (7) ◽

pp. 1596

Author(s):

Marta Diaz-delCastillo ◽

Rebecca E. Andrews ◽

Aritri Mandal ◽

Thomas L. Andersen ◽

Andrew D. Chantry ◽

...

Keyword(s):

Quality Of Life ◽

Multiple Myeloma ◽

Observational Study ◽

Bone Turnover ◽

Bone Pain ◽

Subjective Experience ◽

Prospective Longitudinal ◽

Bone Turnover Biomarkers

Multiple myeloma (MM) is a bone marrow neoplasia that causes bone pain in 70% patients. While preclinical models of MM have suggested that both nerve sprouting and nerve injury may be causative for the pain, there is a lack of clinical data. Thus, the primary aims of this clinical study are: (1) to provide a deep characterization of the subjective experience of pain and quality of life in MM patients; (2) to investigate disturbances in the bone innervation of MM patients. Secondary aims include exploring correlations between pain and serum inflammatory and bone turnover biomarkers. In a prospective, observational study (clinicaltrials.gov: NCT04273425), patients with suspected MM requiring a diagnostic iliac crest biopsy at Sheffield Teaching Hospital (UK) are invited to participate. Consenting patients answer seven standardized questionnaires assessing pain, quality of life and catastrophizing. Bone turnover biomarkers and inflammatory cytokines are measured in fasting serum samples, and bone innervation is evaluated in diagnostic biopsies. MM patients are invited to a follow-up upon completion of first line treatment. This will be the first deep characterization of pain in MM patients and its correlation with disturbances in bone innervation. Understanding how bone turnover and inflammation correlate to pain in MM is crucial to identify novel analgesic targets for this condition.

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Identification and Characterization of Multiple Myeloma Stem Cell-Like Cells

Cancers ◽

10.3390/cancers13143523 ◽

2021 ◽

Vol 13 (14) ◽

pp. 3523

Author(s):

Wancheng Guo ◽

Haiqin Wang ◽

Peng Chen ◽

Xiaokai Shen ◽

Boxin Zhang ◽

...

Keyword(s):

Multiple Myeloma ◽

Drug Resistance ◽

Stem Cell ◽

New Drugs ◽

Cell Therapies ◽

High Relapse Rate ◽

High Incidence ◽

Poorly Differentiated ◽

Identification And Characterization

Multiple myeloma (MM) is a B-cell tumor of the blood system with high incidence and poor prognosis. With a further understanding of the pathogenesis of MM and the bone marrow microenvironment, a variety of adjuvant cell therapies and new drugs have been developed. However, the drug resistance and high relapse rate of MM have not been fundamentally resolved. Studies have shown that, in patients with MM, there is a type of poorly differentiated progenitor cell (MM stem cell-like cells, MMSCs). Although there is no recognized standard for identification and classification, it is confirmed that they are closely related to the drug resistance and relapse of MM. This article therefore systematically summarizes the latest developments in MMSCs with possible markers of MMSCs, introduces the mechanism of how MMSCs work in MM resistance and recurrence, and discusses the active pathways that related to stemness of MM.

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