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The pattern of Mesenchymal stem cell expression is an independent marker of outcome in multiple myeloma

ABSTRACT: The pattern of Mesenchymal stem cell expression is an independent marker of outcome in multiple myeloma

PROVIDER: PRJNA487623 | ENA |

REPOSITORIES: ENA

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The pattern of Mesenchymal stem cell expression is an independent marker of outcome in multiple myeloma

Project description:Mesenchymal stem cells (MSCs) are an essential component of the bone marrow (BM) microenvironment and have shown to support cancer evolution in multiple myeloma (MM). Despite the increasing evidence that MM MSCs differ from their healthy counterparts, little knowledge exists as to whether MSCs independently influence disease outcome. The aim of the present study was to determine the importance of MSCs in disease progression and outcome in MM.

2018-08-24 | GSE118985 | GEO

Prognostic significance of copy-number alterations in multiple myeloma

Project description:Purpose Chromosomal aberrations are a hallmark of multiple myeloma but their global prognostic impact is largely unknown. Methods We performed a genome-wide analysis of malignant plasma cells from 192 newly myeloma patients using high-density, single-nucleotide polymorphism (SNP) arrays to identify genetic lesions associated with prognosis. Results Our analyses revealed deletions and amplifications in 98% of cases. Amplifications in 1q and deletions in 1p, 12p, 14q, 16q, and 22q were the most frequent lesions associated with adverse prognosis while recurrent amplifications of chromosomes 5, 9, 11, 15 and 19 conferred a favorable prognosis. Multivariate analysis retained three independent lesions: amp(1q23.3), amp(5q31.3) and del(12p13.31). When adjusted to the established prognostic variables ie t(4;14), and serum beta2-microglobulin (Sb2M), del(12p13.31) remained the most powerful independent marker (P <.0001; hazard ratio = 3.17) followed by Sb2M (P <.0001; hazard ratio = 2.78) and amp(5q31.3) (P =.0005; hazard ratio = 0.37). Cases with amp(5q31.3) alone and low Sb2M had an excellent prognosis (5-year overall survival = 87%) conversely cases with del(12p13.31) alone or amp(5q31.3) and del(12p13.31) and high Sb2M had a very poor outcome (5-year overall survival = 20%). Moreover, integration of SNP mapping and gene expression identified CD27 as potential critical gene responsible for poor prognosis of del(12p) myeloma patients. Conclusion These findings demonstrate the power and accessibility of molecular karyotyping to identify novel strong independent prognostic markers: amp(5q31.3) and del(12p13.31) and to provide insights into putative pathways deregulated in sub classes of cancer patients. Keywords: Human chromosome copy-number alterations study 192 myeloma patients at diagnosis examined with 500K Set Affymetrix chips

2009-08-19 | E-GEOD-12896 | biostudies-arrayexpress

PD-L1 is an IFNγ-independent maturation marker on tumor-associated macrophages and associates with good clinical outcome in human breast cancer

Project description:PD-L1 is an IFNγ-independent maturation marker on tumor-associated macrophages and associates with good clinical outcome in human breast cancer

| PRJNA1043167 | ENA

Prognostic significance of copy-number alterations in multiple myeloma

2009-08-20 | GSE12896 | GEO

Classification of Myeloma Using Global MicroRNA Profiling

2013-07-31 | GSE41276 | GEO

DHODH is an independent prognostic marker and potent therapeutic target in neuroblastoma

Project description:DHODH is an independent prognostic marker and potent therapeutic target in neuroblastoma

| PRJNA862519 | ENA

BMP-2 response pattern in human lung fibroblasts predicts outcome in lung adenocarcinomas

Project description:BMP-2 response pattern in human lung fibroblasts predicts outcome in lung adenocarcinomas

| PRJNA275957 | ENA

Repression precedes independent evolutionary gains of a highly specific gene expression pattern

Project description:Repression precedes independent evolutionary gains of a highly specific gene expression pattern

| PRJNA767538 | ENA

Classification of Myeloma Using Global MicroRNA Profiling

Project description:Myeloma is a heterogeneous disease. In this work we used global microRNA profiling to classify clinical samples from UK MRC Myeloma IX, and developed a microRNA-based M-bM-^@M-^\outcome classifierM-bM-^@M-^] for risk stratification. Global microRNA expression profiling was carried out in 163 newly diagnosed samples from CD138+ cell selection

2013-07-31 | E-GEOD-41276 | biostudies-arrayexpress

Gene expression profiling and correlation with outcome in clinical trials of the proteasome inhibitor bortezomib

Project description:The aims of this study were to assess the feasibility of prospective pharmacogenomics research in multicenter international clinical trials of bortezomib in multiple myeloma and to develop predictive classifiers of response and survival with bortezomib. Patients with relapsed myeloma enrolled in phase 2 and phase 3 clinical trials of bortezomib and consented to genomic analyses of pretreatment tumor samples. Bone marrow aspirates were subject to a negative-selection procedure to enrich for tumor cells, and these samples were used for gene expression profiling using DNA microarrays. Data quality and correlations with trial outcomes were assessed by multiple groups. Gene expression in this dataset was consistent with data published from a single-center study of newly diagnosed multiple myeloma. Response and survival classifiers were developed and shown to be significantly associated with outcome via testing on independent data. The survival classifier improved on the risk stratification provided by the International Staging System. Predictive models and biologic correlates of response show some specificity for bortezomib rather than dexamethasone. Informative gene expression data and genomic classifiers that predict clinical outcome can be derived from prospective clinical trials of new anticancer agents. Keywords: Gene expression profiling; correlation with outcome in clinical trials of the proteasome inhibitor bortezomib

2007-12-06 | GSE9782 | GEO

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