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Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Sequential Binary Gene-Ratio Tests Define a Novel Molecular Diagnostic Strategy for Malignant Pleural Mesothelioma

ABSTRACT: The gene-expression ratio technique was used to design a molecular signature to diagnose MPM from among other potentially confounding diagnoses and differentiate the epithelioid from the sarcomatoid histological subtype of MPM. Microarray analysis was performed on 113 specimens including MPMs and a spectrum of tumors and benign tissues comprising the differential diagnosis of MPM. A sequential combination of binary gene-expression ratio tests was developed to discriminate MPM from other thoracic malignancies . This method was compared to other bioinformatic tools and this signature was validated in an independent set of 170 samples. Functional enrichment analysis was performed to identify differentially expressed probes.

ORGANISM(S): Homo sapiens

SUBMITTER: Assunta De Rienzo

PROVIDER: E-GEOD-42977 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Sequential Binary Gene-Ratio Tests Define a Novel Molecular Diagnostic Strategy for Malignant Pleural Mesothelioma

Project description:The gene-expression ratio technique was used to design a molecular signature to diagnose MPM from among other potentially confounding diagnoses and differentiate the epithelioid from the sarcomatoid histological subtype of MPM.

2013-05-01 | GSE42977 | GEO

GeoMX spatial transcriptomic on biphasic Malignant Pleural Mesothelioma

Project description:We applied a spatially resolved, high-dimensional transcriptomic approach to study MPM morpho-logical evolution. 139 regions across 8 biphasic MPMs (B-MPMs) were profiled using the GeoMx™Digital Spatial Profiler and Cancer Transcriptome Atlas to compare epithelioid and sarcomatoid components transcriptional profile and reconstruct the positional context of transcriptional activities and the spatial topology of MPM cells interactions.

2023-12-07 | E-MTAB-13043 | biostudies-arrayexpress

Mesothelioma cell lines SNP data copy number analysis

Project description:Malignant pleural mesotheliomas (MPMs) often show CDKN2A and NF2 inactivation but other highly recurrent mutations have not been described. To identify additional driver genes, we used an integrated genomic analysis of 53 MPM tumor samples to guide a focused sequencing effort that uncovered somatic inactivating mutations in BAP1 in 23% of MPM. The BAP1 nuclear deubiquitinase is known to target histones (together with ASXL1 as a Polycomb repressor subunit) and the HCF1 transcriptional co-factor, and we show that BAP1 knockdown in MPM cell lines affects E2F and Polycomb target genes. These findings implicate transcriptional deregulation in the pathogenesis of MPM.

2011-05-19 | GSE29383 | GEO

Mesothelioma tumor gene expression profiles

2011-05-19 | GSE29354 | GEO

Mesothelioma tumor aCGH profiles

2011-09-26 | GSE29902 | GEO

Mesothelioma-associated fibroblasts enhance proliferation and migration of malignant pleural mesothelioma cells via Met/PI3K and WNT signaling but do not protect against cisplatin

Project description:Malignant pleural mesothelioma (MPM) is an aggressive malignancy with poor prognosis. Unlike many other cancers, MPM is mostly characterized by inactivation of tumor suppressor genes. Its highly malignant nature in absence of tumor driving oncogene mutations indicates an extrinsic supply of stimulating signals by cells of the tumor microenvironment (TME). Cancer-associated fibroblasts (CAFs) are an abundant cell type of the TME and have been shown to drive the progression of several cancer types. The aim of the current study was to isolate and characterize patient-derived mesothelioma-associated fibroblasts (Meso-CAFs), and evaluate their impact on MPM cells.

2022-12-31 | E-MTAB-12179 | biostudies-arrayexpress

aCGH data for mesothelioma cell lines

2011-05-19 | E-GEOD-29383 | biostudies-arrayexpress

Mesothelioma tumor gene expression profiles

2011-05-19 | E-GEOD-29354 | biostudies-arrayexpress

Mesothelioma tumor aCGH profiles

2011-09-25 | E-GEOD-29902 | biostudies-arrayexpress

Different responses of murine and human macrophages to leptospiral infection revealed by comparative array analysis

Project description:Leptospirosis is a re-emerging tropical infectious disease caused by the pathogenic Leptospira spp. The different host innate immune responses were partially related to the different severity of leptospirosis. In this study, we employed transcriptomics and cytokine array to comparatively calculate the responses of murine peritoneal macrophages (MPM) and human peripheral blood monocytes (HBM) to leptospiral infection, and uncover a series of different expression regulations of these two immune cells. The regulation percentages in several biological processes of MPM, such as the antigen process and presentation, the regulation of membrane potential, and the innate immune response, etc., were much greater than those of HBM (>2 folds). In HBM and MPM, the CASP8 and FADD-like apoptosis regulator genes were significantly up-regulated, which supported previous results that the caspase-8/3 pathway plays an important role in macrophage apoptosis during leptospiral infection. The key component of complement pathway, C3, was only up-regulated in MPM. Several cytokines (e.g. IL-10, TNF-alpha) were differently expressed at both mRNA and protein level in MPM and HBM. The differences in the transcriptomics and the cytokine expression revealed in this study were partially consistent with the different outcomes of the chronic and acute leptospirosis; thus, these findings facilitated further molecular study on the innate immune response to leptospiral infection. Murine peritoneal macrophages (MPM) and human peripheral blood monocytes (HBM) were infected by pathogenic Leptospira. The host cells were collected at 1h, 2h, and 4h after infection. The uninfected macrophage sample was designed as a negative control. Three biological replicates were designed for each sample type. There were totally 24 hybridizations (12 for MPM, and 12 for HBM) included in this submission.

2013-03-15 | E-GEOD-45170 | biostudies-arrayexpress

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