Gene expression profiles of multiple myeloma plasma cell fractions from bone marrow
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PROVIDER: PRJNA389119 | ENA |
REPOSITORIES: ENA
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Project description:Gene expression profiles of multiple myeloma plasma cell fractions from bone marrow III
| PRJNA421668 | ENA
Project description:Today’s diagnostic tests for multiple myeloma (MM) reflect the criteria of the updated WHO classification based on biomarkers and clinicopathologic heterogeneity. To that end, we propose a new subtyping of myeloma plasma cells (PC) by B-cell subset associated gene signatures (BAGS), from the normal B-cell hierarchy in the bone marrow (BM). To do this, we combined FACS and GEP data from normal BM samples to generate classifiers by BAGS for the PreBI, PreBII, immature (Im), naïve (N), memory (M) and PC subsets. The resultant tumor assignments in available clinical datasets exhibited similar BAGS subtype frequencies in four cohorts across 1302 individual cases. The prognostic impact of BAGS was analyzed in patients treated with high dose melphalan as first line therapy in three prospective trials: UAMS, HOVON65/GMMG-HD4 and MRC Myeloma IX with Affymetrix U133 plus 2.0 microarray data available from diagnostic myeloma PC samples. The BAGS subtypes were significantly associated with progression free (PFS) and overall survival (OS) (PFS, P=3.05e−06 and OS, P=1.06e−11) in a meta-analysis of 926 pts. The major impact was observed within the PreBII and M subtypes conferred with significant inferior prognosis compared to the Im, N and PC subtypes. Cox proportional hazard meta-analysis documented that the BAGS subtypes added significant and independent prognostic information to the TC classification system and ISS staging. BAGS subtype analysis identified transcriptome differences and a number of novel differentially spliced genes. We have identified hierarchal subtype differences in the myeloma plasma cells, with prognostic impact. This observation support an acquired reversible B-cell trait and phenotypic plasticity as a hallmark, also in MM.
2018-09-27 | GSE99634 | GEO
Project description:Today’s diagnostic tests for multiple myeloma (MM) reflect the criteria of the updated WHO classification based on biomarkers and clinicopathologic heterogeneity. To that end, we propose a new subtyping of myeloma plasma cells (PC) by B-cell subset associated gene signatures (BAGS), from the normal B-cell hierarchy in the bone marrow (BM). To do this, we combined FACS and GEP data from normal BM samples to generate classifiers by BAGS for the PreBI, PreBII, immature (Im), naïve (N), memory (M) and PC subsets. The resultant tumor assignments in available clinical datasets exhibited similar BAGS subtype frequencies in four cohorts across 1302 individual cases. The prognostic impact of BAGS was analyzed in patients treated with high dose melphalan as first line therapy in three prospective trials: UAMS, HOVON65/GMMG-HD4 and MRC Myeloma IX with Affymetrix U133 plus 2.0 microarray data available from diagnostic myeloma PC samples. The BAGS subtypes were significantly associated with progression free (PFS) and overall survival (OS) (PFS, P=3.05e−06 and OS, P=1.06e−11) in a meta-analysis of 926 pts. The major impact was observed within the PreBII and M subtypes conferred with significant inferior prognosis compared to the Im, N and PC subtypes. Cox proportional hazard meta-analysis documented that the BAGS subtypes added significant and independent prognostic information to the TC classification system and ISS staging. BAGS subtype analysis identified transcriptome differences and a number of novel differentially spliced genes. We have identified hierarchal subtype differences in the myeloma plasma cells, with prognostic impact. This observation support an acquired reversible B-cell trait and phenotypic plasticity as a hallmark, also in MM.
2018-09-27 | GSE107843 | GEO
Project description:Today’s diagnostic tests for multiple myeloma (MM) reflect the criteria of the updated WHO classification based on biomarkers and clinicopathologic heterogeneity. To that end, we propose a new subtyping of myeloma plasma cells (PC) by B-cell subset associated gene signatures (BAGS), from the normal B-cell hierarchy in the bone marrow (BM). To do this, we combined FACS and GEP data from normal BM samples to generate classifiers by BAGS for the PreBI, PreBII, immature (Im), naïve (N), memory (M) and PC subsets. The resultant tumor assignments in available clinical datasets exhibited similar BAGS subtype frequencies in four cohorts across 1302 individual cases. The prognostic impact of BAGS was analyzed in patients treated with high dose melphalan as first line therapy in three prospective trials: UAMS, HOVON65/GMMG-HD4 and MRC Myeloma IX with Affymetrix U133 plus 2.0 microarray data available from diagnostic myeloma PC samples. The BAGS subtypes were significantly associated with progression free (PFS) and overall survival (OS) (PFS, P=3.05e−06 and OS, P=1.06e−11) in a meta-analysis of 926 pts. The major impact was observed within the PreBII and M subtypes conferred with significant inferior prognosis compared to the Im, N and PC subtypes. Cox proportional hazard meta-analysis documented that the BAGS subtypes added significant and independent prognostic information to the TC classification system and ISS staging. BAGS subtype analysis identified transcriptome differences and a number of novel differentially spliced genes. We have identified hierarchal subtype differences in the myeloma plasma cells, with prognostic impact. This observation support an acquired reversible B-cell trait and phenotypic plasticity as a hallmark, also in MM.
2018-09-27 | GSE99635 | GEO
Project description:In order to identify relevant, molecularly defined subgroups in Multiple Myeloma (MM), gene expression profiling (GEP) was performed on purified CD138+ plasma cells of 320 newly diagnosed myeloma patients included in the Dutch-Belgian/German HOVON-65/ GMMG-HD4 trial using Affymetrix Gene Chip U133 plus 2.0 arrays. Hierarchical clustering identified 10 distinct subgroups. Bone marrow plasma cell samples were obtained from 320 newly diagnosed multiple myeloma patients included in a large multicenter, prospective, randomized phase III trial (HOVON65/GMMG-HD4). Purified myeloma plasma cells samples with a monoclonal plasma cell purity > 80% were used for analysis.
2010-06-27 | E-GEOD-19784 | biostudies-arrayexpress
Project description:Gene expression profiling of CD138 purified bone marrow plasma cells of relapsed multiple myeloma patients
2017-02-09 | E-MTAB-4715 | biostudies-arrayexpress
Project description:Gene expression profiling of CD138 purified bone marrow plasma cells of previously untreated multiple myeloma patients
2017-02-09 | E-MTAB-4717 | biostudies-arrayexpress
Project description:Gene expression profiling of CD138 purified bone marrow plasma cells of patients with smoldering multiple myeloma
2023-05-31 | E-MTAB-4743 | biostudies-arrayexpress
Project description:Multiple myeloma is hematologic malignancies result from clonal proliferation of plasma cells. Recently, increasing evidence supports the hypothesis that microenvironment cells play important roles in the proliferation, survival, and drug resistance of clonal plasma cells. The aim of this study is to culture stromal cells from bone marrow aspirates of patients with multiple myeloma, and to investigate expression profiles of bone marrow stromal cells and their relationships with the clinical characteristics of patients. RNA was extracted cultured bone marrow stromal cells from 15 patients with plasma cell neoplasms, and bone marrow stromal cells from 13 control patients with 9 B-cell lymphoma patients with no evidence of BM involvement and 4 patients with mild-to-moderate cytopenia without evidence of hematologic malignancies
2016-08-20 | E-GEOD-85837 | biostudies-arrayexpress
Project description:Multiple myeloma is hematologic malignancies result from clonal proliferation of plasma cells. Recently, increasing evidence supports the hypothesis that microenvironment cells play important roles in the proliferation, survival, and drug resistance of clonal plasma cells. The aim of this study is to culture stromal cells from bone marrow aspirates of patients with multiple myeloma, and to investigate expression profiles of bone marrow stromal cells and their relationships with the clinical characteristics of patients.
2016-08-20 | GSE85837 | GEO