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accession-icon GSE77540
Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE77539
Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse [gene expression]
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Multiple myeloma (MM) remains incurable despite the introduction of novel agents and a relapsing course is observed in the majority of patients. Although the development of genomic technologies has greatly improved our understanding of MM pathogenesis, the mechanisms underlying relapse have been less investigated. In this study, an integrative analysis of DNA copy number, DNA methylation and gene expression was conducted in matched diagnosis and relapse samples from 17 MM patients. Overall, the acquisition of abnormalities at relapse was much more frequent than the lost of lesions present at diagnosis, and DNA losses were significantly more frequent at relapse than in diagnosis samples. Interestingly, copy number abnormalities involving more than 100 Mb of DNA at relapse significantly impact the gene expression of these samples, provoking a particular deregulation of IL-8 pathway. On the contrary, no relevant modifications of gene expression were observed in those samples with less than 100 Mb affected by chromosomal changes. Although different statistical approaches were used to uncover genes whose abnormal expression at relapse was regulated by DNA methylation, only two genes significantly deregulated in relapse samples (SORL1 and GLT1D1) showed a negative methylation-expression correlation. A deeper analysis demonstrated that DNA methylation was involved in regulation of SORL1 expression in MM. Finally, relevant changes in gene expression observed in relapse samples, such us downregulation of CD27 and P2RY8, were not apparently preceded by alterations in corresponding DNA. Taken together, these results showed that genomic heterogeneity, both at the DNA and RNA level, is a hallmark of MM transition from diagnosis to relapse.

Publication Title

Integrative analysis of DNA copy number, DNA methylation and gene expression in multiple myeloma reveals alterations related to relapse.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE49482
Phenotypic, genomic and functional characterization reveals no differences between CD138++ and CD138low subpopulations in multiple myeloma cell lines
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Despite recent advances in the treatment of multiple myeloma (MM), it remains an incurable disease potentially due to the presence of resistant myeloma cancer stem cells (MM-CSC). Although the presence of clonogenic cells in MM was described more than 30 years ago, the phenotype of MM-CSC is still a matter of debate, especially with respect to the expression of syndecan- 1 (CD138). Here, we demonstrate the presence of two subpopulations - CD138++ (95-99%) and CD138low (1-5%) - in eight MM cell lines. To find out possible stem-cell-like features, we have phenotypically, genomic and functionally characterized the two subpopulations. Our results show that the minor CD138low subpopulation is morphologically identical to the CD138++ fraction and does not represent a more immature B-cell compartment (with lack of CD19, CD20 and CD27 surface expression). Moreover, both subpopulations have similar gene expression and genomic profiles. Importantly, both CD138++ and CD138low subpopulations have similar sensitivity to bortezomib, melphalan and doxorubicin. Finally, serial engraftment in SCID mice shows that CD138++ as well as CD138low cells have self-renewal potential and they are also phenotypically interconvertible. Overall, our results differ from previously published data which attribute a B-cell phenotype to MM-CSC and urge the need to explore more reliable markers to discriminate true clonogenic myeloma cells.

Publication Title

Phenotypic, genomic and functional characterization reveals no differences between CD138++ and CD138low subpopulations in multiple myeloma cell lines.

Sample Metadata Fields

Disease, Cell line

View Samples
accession-icon GSE47552
Transcriptome analysis reveals molecular profiles associated with evolving steps of monoclonal gammopathies
  • organism-icon Homo sapiens
  • sample-icon 99 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

To gain further insights into the role of the transcriptome deregulation in the transition from a normal plasma cell (NPC) to a clonal PC and from an indolent clonal PC to a malignant PC, we performed gene expression profiling in 20 patients with MGUS, 33 with high-risk SMM and 41 with MM. The analysis showed that 126 genes were differentially expressed in MGUS, SMM and MM as compared to NPC. Interestingly, 17 and 9 out of the 126 significant differentially expressed genes were small nucleolar RNA molecules (snoRNA) and zinc finger proteins. GADD45A was the most significant up-regulated gene in clonal PC compared to NPC. Several proapoptotic genes (AKT1 and AKT2) were downregulated and antiapoptotic genes (APAF1 and BCL2L1) were upregulated in MM, both symptomatic and asymptomatic, compared to MGUS. Myc mediated apoptosis signaling is one of the top canonical pathways differentiating the asymptomatic and symptomatic myeloma. When we looked for those genes progressively modulated through the evolving stages of monoclonal gammopathies, eight snoRNA showed a progressive increase while APAF1, VCAN and MEGF9 exhibited a progressive downregulation in the transition from MGUS to SMM and to MM. In conclusion, our data show that although MGUS, SMM and MM are not clearly distinguishable groups according to their GEP, several signaling pathways and genes were significant deregulated in the different steps of transformation process.

Publication Title

Transcriptome analysis reveals molecular profiles associated with evolving steps of monoclonal gammopathies.

Sample Metadata Fields

Specimen part

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accession-icon GSE94341
Inhibition of the kinesin spindle protein enhances the activity of pomalidomide and dexamethasone in multiple myeloma
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

The kinesin spindle protein inhibitor filanesib enhances the activity of pomalidomide and dexamethasone in multiple myeloma.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE94336
Inhibition of the kinesin spindle protein enhances the activity of pomalidomide and dexamethasone in multiple myeloma [In Vivo]
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Kinesin spindle protein (KSP) inhibition is known to be an effective therapeutic approach in several malignancies. Filanesib (Arry-520), a KSP inhibitor, has demonstrated activity in heavily pretreated multiple myeloma (MM) patients. The aim of this work was to investigate the activity of filanesib in combination with an IMiDs plus dexamethasone backbone, and the mechanisms underlying the potential synergistic effect. Results: Filanesib showed in vitro and in vivo synergy with all IMiDs plus dexamethasone treatment, particularly with the pomalidomide combination (PDF). Importantly, the in vivo synergy observed in this combination was more evident in large, highly proliferative tumors, and it was shown to be mediated by impairment of mitosis transcriptional control, an increase in monopolar spindles, cell cycle arrest and the induction of apoptosis in cells in proliferative phases. In addition, PDF increased the activation of the proapoptotic protein Bax, which has been previously associated with sensitivity to filanesib, and could potentially be used as a predictive biomarker of response to this combination. Conclusions: Our results provide preclinical evidence for the potential benefit of the combination of filanesib with pomalidomide and dexamethasone and es-tablished the basis for a recently activated trial being conducted by the Spanish MM group investigating this combination in relapsed MM patients.

Publication Title

The kinesin spindle protein inhibitor filanesib enhances the activity of pomalidomide and dexamethasone in multiple myeloma.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE94334
Inhibition of the kinesin spindle protein enhances the activity of pomalidomide and dexamethasone in multiple myeloma [In Vitro]
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Kinesin spindle protein (KSP) inhibition is known to be an effective therapeutic approach in several malignancies. Filanesib (Arry-520), a KSP inhibitor, has demonstrated activity in heavily pretreated multiple myeloma (MM) patients. The aim of this work was to investigate the activity of filanesib in combination with an IMiDs plus dexamethasone backbone, and the mechanisms underlying the potential synergistic effect. Results: Filanesib showed in vitro and in vivo synergy with all IMiDs plus dexamethasone treatment, particularly with the pomalidomide combination (PDF). Importantly, the in vivo synergy observed in this combination was more evident in large, highly proliferative tumors, and it was shown to be mediated by impairment of mitosis transcriptional control, an increase in monopolar spindles, cell cycle arrest and the induction of apoptosis in cells in proliferative phases. In addition, PDF increased the activation of the proapoptotic protein Bax, which has been previously associated with sensitivity to filanesib, and could potentially be used as a predictive biomarker of response to this combination. Conclusions: Our results provide preclinical evidence for the potential benefit of the combination of filanesib with pomalidomide and dexamethasone and es-tablished the basis for a recently activated trial being conducted by the Spanish MM group investigating this combination in relapsed MM patients.

Publication Title

The kinesin spindle protein inhibitor filanesib enhances the activity of pomalidomide and dexamethasone in multiple myeloma.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE81582
Genomic characterization of liver metastases from colorectal cancer patients
  • organism-icon Homo sapiens
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene Expression Array (primeview)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genomic characterization of liver metastases from colorectal cancer patients.

Sample Metadata Fields

Sex, Age, Disease, Disease stage

View Samples
accession-icon GSE73042
Phenotypic, transcriptomic and genomic characterization of clonal plasma cells in light chain amyloidosis
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Phenotypic, transcriptomic, and genomic features of clonal plasma cells in light-chain amyloidosis.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE73040
Phenotypic, transcriptomic and genomic characterization of clonal plasma cells in light chain amyloidosis [Gene expression profiling]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Immunoglobulin light-chain amyloidosis (AL) is a rare clonal plasma cell (PC) disorder that remains largely incurable. AL and multiple myeloma (MM) share the same cellular origin, but while knowledge about MM PC biology has improved significantly, the same does not apply for AL. Here, we undertook an integrative phenotypic, molecular, and genomic approach to study clonal PCs from 22 newly-diagnosed AL patients. Through principal-component-analysis, we demonstrated highly overlapping phenotypic profiles between AL and MGUS or MM patients. However, in contrast to MM, highly-purified FACSs-sorted clonal PCs in AL (n=9/22) show virtually normal transcriptomes with only 68 deregulated genes as compared to normal PCs, including a few tumor suppressor (CDH1, RCAN) and pro-apoptotic (GLIPR1, FAS) genes. Notwithstanding, clonal PCs in AL (n=11/22) were genomically unstable with a median of 9 copy-number-abnormities (CNAs) per case; many of which similar to those found in MM. Whole-exome sequencing (WES) was performed in three AL patients and revealed a median of 10 non-recurrent mutations per case. Altogether, we showed that although clonal PCs in AL display phenotypic and CNA profiles similar to MM, their transcriptome is remarkably similar to that of normal PCs. First-ever WES revealed the lack of a unifying mutation in AL

Publication Title

Phenotypic, transcriptomic, and genomic features of clonal plasma cells in light-chain amyloidosis.

Sample Metadata Fields

Specimen part, Disease

View Samples
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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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