Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

61 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GeoMX spatial transcriptomic on biphasic Malignant Pleural Mesothelioma

ABSTRACT: 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.

INSTRUMENT(S): NextSeq 500, -, Nanostring GeoMx spatial profiler

ORGANISM(S): Homo sapiens

SUBMITTER: Federica Torricelli

PROVIDER: E-MTAB-13043 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

GeoMx digital spatial profiling on biopsies of triple negative breast cancer patients

Project description:In this study, we analyzed the differential spatial transcriptome of Triple-Negative Breast Cancer (TNBC) patients who responded in an opposite manner to neoadjuvant chemotherapy (NACT): we compared responders displaying pathological complete response (pCR) with no-responders who showed disease progression during therapy. Diagnostic TruCut biopsies were analyzed using the GeoMx Cancer Transcriptome Atlas (Nanostring).

2023-10-12 | E-MTAB-13069 | biostudies-arrayexpress

Multiomics of three distinct hematological malignancies in a patient reveals their common origin from clonal hematopoietic stem cells

Project description:Concomitant multiple hematological malignancies are rare and challenging to diagnose. They represent a unique model to explore the multistep process of oncogenesis. Here, we report the unique case of 62 years-old man with cardiac tamponade as first manifestation of ALK negative anaplastic large T-cell lymphoma (ALK- ALCL). Following chemotherapy, he showed one year later ALK- ALCL concurrent with diffuse large B-cell lymphoma (DLBCL-NOS) and acute monoblastic leukemia (AML-M5) in a single excisional lymph node. Clinical, pathological and multiomics data (whole exome and targeted deep sequencing, spatial transcriptomics) were analyzed. Two somatic TET2 gene mutations at high allele burden were shared by all three neoplasms, uninvolved bone marrow and CD34+ hematopoietic stem and progenitor cells (HSPCs). Secondary hits characterized each malignancy. ALK- ALCL (pericardial and nodal) showed TP53 and LYN deleterious mutations, DLBCL-NOS disclosed KRAS, STAT6, CREBBP and ATM alterations and AML-M5 had JAK3, PPM1D, NF1 and KMT2D mutations and a complex karyotype. Furthermore we demonstrated that spatial transcriptomics can identify the specific signatures of the three neoplasms. Two TET2 mutations at high allele burden in CD34+HSPCs conferred the favorable soil and the genotoxic stress from chemotherapy likely contributed to multiple hematological malignancies oncogenesis. Our case confirms the pathogenetic link between clonal hematopoiesis and cytotoxic T-cell lymphoma, so far only suspected. Most importantly, this is the first study to document the oncogenic phylogeny of concurrent T-, B-, and myeloid neoplasms from CD34+ HSPCs clone(s) in a single specimen.

2023-03-17 | E-MTAB-12742 | biostudies-arrayexpress

Discovery of traditional serrated adenoma by using DSP

Project description:To further characterized the serrated pathway, we used the novel Digital Spatial Profiling (DSP) technology and its mRNA Cancer Transcriptome Atlas (CTA) panel, which includes over 1800 target gene, to investigate the underlying gene expression changes and pathways involved in sessile serrated lesion (SSL) and traditional serrated adenoma (TSA), two precancerous lesions to carcinoma in serrated pathway.

2023-12-31 | E-MTAB-12465 | 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

Spatially resolved transcriptomic profiling: an experimental comparison of GeoMx Digital Spatial Profiling and Visium CytAssist spatial transcriptomics in three cancer types (GeoMx)

Project description:We performed Visium CytAssist (10X), GeoMx DSP (Nanostring) and Chromium Flex (10X Genomics) full transcriptome profiling on Breast Cancer (BC), Lung Cancer (LC) and diffuse large B cell lymphoma (DLBCL) samples from archival FFPE blocks. We explore the data quality across blocks with different storage times and DV200 values for all the three methods. We compared the cell type signature purity between ST methods Visium and GeoMx by utilising pathology annotations and scRNAseq. For the Visium and Chromium methods with a large number of data points we explored the heterogeneity between tissues. Finally, we demonstrate the discovery of patient-specific tumor-TME interactions across all three methods.

2024-11-01 | E-MTAB-14566 | biostudies-arrayexpress

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. 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.

2013-05-01 | E-GEOD-42977 | 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