scholarly journals Global gene expression profiling of multiple myeloma, monoclonal gammopathy of undetermined significance, and normal bone marrow plasma cells

Blood ◽  
2002 ◽  
Vol 99 (5) ◽  
pp. 1745-1757 ◽  
Author(s):  
Fenghuang Zhan ◽  
Johanna Hardin ◽  
Bob Kordsmeier ◽  
Klaus Bumm ◽  
Mingzhong Zheng ◽  
...  

Bone marrow plasma cells (PCs) from 74 patients with newly diagnosed multiple myeloma (MM), 5 with monoclonal gammopathy of undetermined significance (MGUS), and 31 healthy volunteers (normal PCs) were purified by CD138+ selection. Gene expression of purified PCs and 7 MM cell lines were profiled using high-density oligonucleotide microarrays interrogating about 6800 genes. On hierarchical clustering analysis, normal and MM PCs were differentiated and 4 distinct subgroups of MM (MM1, MM2, MM3, and MM4) were identified. The expression pattern of MM1 was similar to normal PCs and MGUS, whereas MM4 was similar to MM cell lines. Clinical parameters linked to poor prognosis, abnormal karyotype (P = .002) and high serum β2-microglobulin levels (P = .0005), were most prevalent in MM4. Also, genes involved in DNA metabolism and cell cycle control were overexpressed in a comparison of MM1 and MM4. In addition, using χ2 and Wilcoxon rank sum tests, 120 novel candidate disease genes were identified that discriminate normal and malignant PCs (P < .0001); many are involved in adhesion, apoptosis, cell cycle, drug resistance, growth arrest, oncogenesis, signaling, and transcription. A total of 156 genes, including FGFR3 andCCND1, exhibited highly elevated (“spiked”) expression in at least 4 of the 74 MM cases (range, 4-25 spikes). Elevated expression of these 2 genes was caused by the translocation t(4;14)(p16;q32) or t(11;14)(q13;q32). Thus, novel candidate MM disease genes have been identified using gene expression profiling and this profiling has led to the development of a gene-based classification system for MM.

2021 ◽  
Vol 16 (3) ◽  
pp. 26-32
Author(s):  
A. S. Khudovekova ◽  
Ya. A. Rudenko ◽  
A. E. Dorosevich

Multiple myeloma is a tumor of plasma cells, one of the most common malignant blood diseases. It is preceded by a stage called monoclonal gammopathy of undetermined significance, from which true multiple myeloma develops in only a small percentage of cases. It was assumed that this process is associated with the accumulation of genetic mutations, but in recent years there is increasing evidence that the bone marrow microenvironment plays a key role in progression and that it can become a target for therapy that prevents the myeloma development. The review considers the role of mesenchymal stem cells, immune system cells, endotheliocytes, fibroblasts, adipocytes, osteoclasts and osteoblasts in multiple myeloma progression, as well as the impact of the sympathetic nervous system and microbiome composition.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3123-3123
Author(s):  
Bart Barlogie ◽  
Emily Hansen ◽  
Sarah Waheed ◽  
Jameel Muzaffar ◽  
Monica Grazziutti ◽  
...  

Abstract Intra-tumoral heterogeneity (ITH) is increasingly viewed as the Achilles heel of treatment failure in malignant disease including multiple myeloma (MM). Most MM patients harbor focal lesions (FL) that are recognized on MRI long before bone destruction is detectable by conventional X-ray examination. Serial MRI examinations show that eventually 60% of patients will achieve resolution of FL (MRI-CR). However, this will lag behind the onset of a clinical CR by 18 to 24 months, thus attesting to the biological differences between FL and diffuse MM growth patterns. Consequently, we performed concurrent gene expression profiling (GEP) analyses of plasma cells (PC) from both random bone marrow (RBM) via iliac crest and FL. Our primary aims were to first compare the molecular profiles of FL vs. RBM, second to determine if ITH existed (as defined molecular subgroup and risk), and finally to investigate if the bone marrow micro-environment (ME) contained a biologically interesting signature. A total of 176 patients were available for this study with a breakdown of: TT3 (n=23), TT4 for low-risk (n=131) and TT5 for high-risk MM (n=22). Regarding the molecular analyses of PCs, GEP-based risk (GEP-70, GEP-5) and molecular subgroup correspondence were examined for commonalties and differences between RBM and FL. A “filtering” approach for ME genes was also developed and bone marrow biopsy (BMBx) GEP data derived from this method is under analysis. PC risk correspondence between FL and RBM was 86% for GEP70 and 88% for the GEP5 model. Additionally, 82% had a molecular subgroup concordance, however, they did differ among subgroups (p=0.020) by Fisher's Exact Test. A lower concordance was noted in the CD2, LB, and PR subgroups (67%, 69%, 73%, respectively). GEP70 and GEP5 risk concordance between RBM and FL samples by molecular subgroup was also examined. The overall correlation coefficients were 0.619 (GEP70) and 0.597 (GEP5). The best correspondence was noted for CD1, MF and PR subgroups especially for the GEP5 model. HY, LB and MS showed intermediate correlations, while CD2 fared worst with values of only 0.322 for GEP70 and 0.267 for GEP5 model. Figure 1 portrays these data in more detail for the GEP70 and GEP5 models. Good correlations were noted between RBM and FL based risk scores in case of molecular subgroup concordance (left panels) in both GEP5 and GEP70 risk models, whereas considerable scatter existed in case of subgroup discordance (right panels). The clinical implications in TT4 regarding RBM and FL derived risk and molecular subgroup information, viewed in the context of standard prognostic baseline variables are portrayed in Table 1. High B2M levels at both cut-points imparted inferior OS and PFS as did low hemoglobin. Although present in 42% of patients, cytogenetic abnormalities (CA) did not affect outcomes. FL-based GEP5-defined high-risk designation conferred poor OS and PFS. B2M>5.5mg/L and FL-derived GEP5 high-risk MM, pertaining to 29% and 11% of patients, survived the multivariate model for both OS and PFS. Next, in examining PC-GEP differences among RBM and FL sites, 199 gene probes were identified with a false discovery rate (FDR) of 1x10-6. Additionally, 55 of the 199 belong to four molecular networks of inter related genes associated with: lipid metabolism, cellular movement, growth and proliferation, and cell-to-cell interactions. Multivariate analysis identified the GEP5 high risk designation of focal lesion PCs to be significantly prognostic with a HR=3.73 (p=0.023).Table 1Cox regression analysis of variables linked to overall and progression-free survival in TT4.Overall SurvivalProgression-Free SurvivalVariablen/N (%)HR (95% CI)P-valueHR (95% CI)P-valueMultivariateB2M > 5.5 mg/L38/130 (29%)3.71 (1.49, 9.22)0.0053.84 (1.58, 9.31)0.003FL GEP5 High Risk14/130 (11%)3.68 (1.19, 11.41)0.0243.73 (1.20, 11.62)0.023HR- Hazard Ratio, 95% CI- 95% Confidence Interval, P-value from Wald Chi-Square Test in Cox RegressionNS2- Multivariate results not statistically significant at 0.05 level. All univariate p-values reported regardless of significance.Multivariate model uses stepwise selection with entry level 0.1 and variable remains if meets the 0.05 level.A multivariate p-value greater than 0.05 indicates variable forced into model with significant variables chosen using stepwise selection. Disclosures: No relevant conflicts of interest to declare.


Cells ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1961
Author(s):  
Hassan Awada ◽  
Bicky Thapa ◽  
Hussein Awada ◽  
Jing Dong ◽  
Carmelo Gurnari ◽  
...  

Multiple myeloma (MM) is a blood cancer characterized by the accumulation of malignant monoclonal plasma cells in the bone marrow. It develops through a series of premalignant plasma cell dyscrasia stages, most notable of which is the Monoclonal Gammopathy of Undetermined Significance (MGUS). Significant advances have been achieved in uncovering the genomic aberrancies underlying the pathogenesis of MGUS-MM. In this review, we discuss in-depth the genomic evolution of MM and focus on the prognostic implications of the accompanied molecular and cytogenetic aberrations. We also dive into the latest investigatory techniques used for the diagnoses and risk stratification of MM patients.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4395-4395
Author(s):  
Jihad Aljabban ◽  
David Chen ◽  
Francesca Cottini ◽  
Saad Syed ◽  
Nabeal Aljabban ◽  
...  

Background: Monoclonal gammopathy of undetermined significance (MGUS) is characterized by plasma cell production of abnormal monoclonal protein, or M protein. While MGUS itself is asymptomatic, it generally carries a 1% per year risk to progression to multiple myeloma (MM). The etiology of MGUS, as well as why it progresses to MM in some cases, remains unclear. Moreover, it is not known why some MGUS patients, such as African Americans, have higher risk to progression to MM. Contrasting MGUS and MM can potentially highlight genes that differentiate benign gammopathies from malignant ones and may be involved in disease progression from MGUS to MM. Methods: We employed our STARGEO platform to tag samples from the NCBI Gene Expression Omnibus and performed two separate meta-analysis to compare MGUS and MM transcriptomes. For the first meta-analysis, we tagged MGUS plasma cells recovered from the bone marrow of 101 patients and tagged plasma cells from 64 healthy subjects as a control. For the second analysis. We tagged CD138+ cells from the bone marrow of 383 MM patients and used the MGUS tagged samples as a control. We then analyzed the signature in Ingenuity Pathway Analysis (IPA). Results: From our first meta-analysis of MGUS, we identified EIF2 signaling, regulation of EIF4 and p70S6K signaling, and JAK/STAT signaling as top canonical pathways. Top upstream regulators included TP53, TGFB1, and the proto-oncogene MYCN and MYC (with predicted activation). The most upregulated genes included pro-oncogenes such as KIT and MLLT3, which is well-studied in acute leukemia but not yet described in MGUS. Another top upregulated gene was NRG3, a myeloma growth factor. Additionally, our analysis highlighted key genes involved in transcription and epigenetic regulation. For example, there was upregulation of RBFOX2, which is involved in alternative splicing during oncogenesis and tumor progression, and of PARP15, a transcriptional repressor with poly(ADP-ribose) polymerase activity and candidate gene for drug targeting. Also, there was upregulation of the DNA damage-inducible gene GADD45A, found to promote global DNA methylation. Lastly, we found upregulation of COMMD3, a gene with a recently identified role in humoral activity and B cell migration. From our second meta-analysis comparing MM and MGUS directly, we identified mitochondrial dysfunction, oxidative phosphorylation, purine nucleotides de novo biosynthesis, and sirtuin signaling as top upstream regulators. Like our first analysis, TP53 (with predicted inhibition), TGFB1, and MYC (with predicted activation) were top upstream regulators. The most upregulated gene was NUP62, a nucleoporin and novel regulator of cell proliferation and inducer of MYC activity. Our analysis also illustrated pro-oncogenic signaling pathways such as the Wnt pathway through upregulation of the ubiquitin ligase RNF14 and serine/threonine kinase through upregulation of SRPK2. Moreover, we found upregulation of the super-enhancer DUSP4, a phosphatase whose over-activity may drive MM severity. Lastly, we found upregulation of lysosomal associated membrane protein LAMP5. LAMP5 was recently identified in single-cell RNA sequencing of MM patients and may play a significant role in disease. Conclusions: Our study illustrates signaling pathways in MGUS that are present in MM such as EIF2, JAK/STAT, and MYC signaling. We also illustrate gene activity in MGUS that may predispose to MM progression such as NRG3, RBFOX2, and PARP15. GADD45RA and COMMD3 may play novel roles in MGUS. Our second analysis highlighted disease activity that persist from MGUS to MM, such as MYC signaling. It is possible that the genes from this analysis that aims to distinguish MM from MGUS may be responsible for tipping the scales from benignity to malignancy. Genes such as DUSP4, RN14, LAMP5, and others could serve as novel biomarkers or targets to MM and risk of progression of MGUS to MM. Disclosures No relevant conflicts of interest to declare.


2010 ◽  
Vol 34 (1) ◽  
pp. 38-45 ◽  
Author(s):  
Barbara Zdzisińska ◽  
Katarzyna Wejksza ◽  
Adam Walter-Croneck ◽  
Waldemar A. Turski ◽  
Martyna Kandefer-Szerszeń

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 4779-4779
Author(s):  
Harris V.K. Naina ◽  
Robert Kyle ◽  
Thomas M. Habermann ◽  
Samar Harris ◽  
Fernando G. Cosio ◽  
...  

Abstract Background: Monoclonal gammopathy of undetermined significance (MGUS) is reported in 3 to 5 percent of population, with the prevalence increasing with advancing age. Patients with MGUS are at increased risk for progression to multiple myeloma or other plasma cell dyscrasias. There is a paucity of information on clinical outcomes of patients with MGUS undergoing renal transplantation. A retrospective study was performed to determine wether MGUS is a contraindication to renal transplantation. Methods: Data was collected from both the kidney transplant and MGUS database. The diagnosis of MGUS was made on the basis of either serum protein electrophoresis (SPEP) or immunofixation after excluding multiple myeloma, amyloidosis and monoclonal immunoglobulin deposition disease. Results: Between 1977 and 2004, 3518 patients underwent kidney transplantation of whom 23 patients had a preexisting monoclonal gammopathy of undetermined significance (MGUS). Fourteen (61%) of these patients were males. The median age at the time of transplant was 59 ±12 years. Ten patients (43.5%) had IgG Kappa (GK), 7 (30.4%) had IgG Lambda (GL), 2 (8.7%) had IgA Lambda (AL), 1 (4.3%) had IgA Kappa (AK), 2 (8.7%) had IgM Lambda (ML). One patient had a biclonal gammopathy GL and ML. Patients were monitored with either SPEP or immunofixation for median duration of 1542 days after transplantation. Thirteen patients had either no change or stable monoclonal protein, 6 had a decrease in their paraprotein level. Two patients had a mild increase in their paraprotein. Two patients with GK developed into biclonal gammopathy (GK and AK). The median follow up of this cohort after the renal transplant was 1783 days. Twelve (52%) patients remained alive at the time of the study. A patient with GK prior to the transplant who underwent kidney transplantation twice developed a biclonal gammopathy and was found to have increased plasma cells (20%) in bone marrow after 14 years. On follow up for 6 years, his M-protein remained stable. Another patient was found to have 17% plasma cells around the time of kidney transplantation. He had a stable M-protein at follow-up, but underwent a stem cell transplant for recurrent immunotactoid glomerulonephritis. Two (9%) patients developed more than 15% plasma cells in their bone marrow with a stable M-protein. None of the patients with a preexisting MGUS evolved into multiple myeloma. Conclusion: In this small study, the presence of MGUS prior to kidney transplantation did not appear to have increased the incidence of multiple myeloma post transplant. Therefore, MGUS by itself should not be considered as an absolute contraindication for renal transplantation.


1995 ◽  
Vol 90 (3) ◽  
pp. 693-696 ◽  
Author(s):  
MARC ZANDECKI ◽  
VALERIE OBEIN ◽  
FRANCK BERNARDI ◽  
VALERIE SOENEN ◽  
MARTIAL FLACTIF ◽  
...  

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