Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated characterization of cell types, states and molecular programs in disseinated appendiceal neoplasms

ABSTRACT: Appendiceal neoplasms include a heterogeneous group of epithelial and non-epithelial tumors with varying malignant potential. Despite the rise in incidence of appendiceal neoplasms in recent years, limited progress has been made in the understanding, management and therapeutic treatment. To comprehensively characterize the cell types and molecular mechanisms driving cellular remodeling in epithelial appendiceal neoplasms, we performed an integrated scRNA-seq study. We analyzed 126,998 cells from 16 appendix samples (11 peritoneal metastases samples, 5 healthy controls) and identified 33 distinct cell types/cell states with seven being cancer-specific. Highlights of our study include the characterization of tumor cells across the histologic spectrum, the identification of a novel cancer-associated-fibroblast (CAF) subtypes (fiCAFs) and the identification of pathologic-specific cellular crosstalks between tumor cells and the tumor microenvironment (TME). Together, our study provides a high-resolution insight into the complexity and heterogeneity of epithelial appendiceal neoplasms and a valuable resource for therapeutic strategies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE244031 | GEO | 2023/10/04

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

A Novel Assessment of Metabolic Pathways in Peritoneal Metastases from Low-Grade Appendiceal Mucinous Neoplasms

Project description:Background: There is a paucity of targeted therapies for patients with pseudomyxoma peritonei (PMP) secondary to low-grade appendiceal mucinous neoplasms (LAMNs). Dysregulated metabolism has emerged as a hallmark of cancer, and the relationship of metabolomics and cancer is an area of active scientific exploration. We sought to characterize phenotypic differences found in peritoneal metastases (PM) derived from LAMN versus adenocarcinoma. Methods: Tumors were washed with phosphate-buffered saline (PBS), microdissected, then dissociated in ice-cold methanol dried and reconstituted in pyridine. Samples were derivatized in tert-butyldimethylsilyl (TBDMS) and subjected to gas chromatography-coupled mass spectrometry. Metabolites were assessed based on a standard library. RNA sequencing was performed, with pathway and network analyses on differentially expressed genes.Results: Eight peritoneal tumor samples were obtained and analyzed: LAMNs (4), and moderate to poorly differentiated adenocarcinoma (colon [1], appendix [3]). Decreases in pyroglutamate, fumarate, and cysteine in PM from LAMNs were found compared with adenocarcinoma. Analyses showed the differential gene expression was dominated by the prevalence of metabolic pathways, particularly lipid metabolism. The gene retinol saturase (RETSAT), downregulated by LAMN, was involved in the multiple metabolic pathways that involve lipids. Using network mapping, we found IL1B signaling to be a potential top-level modulation candidate. Conclusions: Distinct metabolic signatures may exist for PM from LAMN versus adenocarcinoma. A multitude of genes are differentially regulated, many of which are involved in metabolic pathways. Additional research is needed to identify the significance and applicability of targeting metabolic pathways in the potential development of novel therapeutics for these challenging tumors.

2024-05-01 | GSE266352 | GEO

Myelodysplastic/myeloproliferative neoplasms

Project description:This SuperSeries is composed of the following subset Series: GSE21948: High Density custom Agilent 44K CGH array analysis of 7q and TET2 region in myelodysplastic/myeloproliferative neoplasms GSE21990: Affymetrix SNP 6.0 array data for myelodysplastic/myeloproliferative neoplasms Refer to individual Series

2010-06-30 | E-GEOD-21991 | biostudies-arrayexpress

Improved Detection of Circulating Epithelial Cells in Patients with Intraductal Papillary Mucinous Neoplasms

Project description:Circulating epithelial cells (CECs) were purified using a microfluidic device from healthy donors, patients bearing intraductal papillary mucinous neoplasms, or pancreatic ductal adenocarcinoma and their transcriptomes were sequenced.

2017-11-01 | GSE103152 | GEO

Copy number analysis in de novo and therapy-related myeloproliferative neoplasms

Project description:Loss of chromosome 7 and del(7q) [-7/del(7q)] are recurring cytogenetic abnormalities in hematologic malignancies, including acute myeloid leukemia and therapy-related myeloid neoplasms, and associated with an adverse prognosis. We performed SNP array analysis on de novo and therapy-related myeloid neoplasms and identified a 2.17 Mb commonly deleted segment on chromosome band 7q22.1 containing CUX1, a gene encoding a homeodomain-containing transcription factor. Haploinsufficiency of the highly conserved ortholog, cut, led to hemocyte overgrowth and tumor formation in Drosophila melanogaster. Similarly, haploinsufficiency of CUX1 gave human hematopoietic cells a significant engraftment advantage upon transplantation into immunodeficient mice. These data identify CUX1 as a conserved, haploinsufficient tumor suppressor frequently deleted in myeloid neoplasms.

2012-11-24 | GSE42482 | GEO

Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms

Project description:Pancreatic neuroendocrine neoplasms (PNENs) are biologically and clinically heterogeneous neoplasms. We used quantitative global proteomic analysis on 40 PNENs to compliment paired transcriptome data.

2021-11-30 | PXD024175 | Pride

Copy Number Analysis of Renal Epithelial Neoplasms

Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations. Keywords: Chromosome copy number and LOH analysis with SNP Genotyping Arrays

2008-01-24 | GSE9469 | GEO

Copy number analysis in de novo and therapy-related myeloproliferative neoplasms

2012-11-24 | E-GEOD-42482 | biostudies-arrayexpress

Copy number aberrations of genes regulating normal thymus development in thymic epithelial tumors

Project description:Thymic epithelial tumors are a group of neoplasms with heterogeneous histological features and clinical behavior. The identification of markers useful to predict patient prognosis and molecular targets for therapies is limited by a very little understanding of the biology of these neoplasms. We evaluated the copy number (CN) aberrations of genes involved in normal thymus development in thymic epithelial tumors, following the intriguing idea that the ectopic deregulation of genes relevant for proliferation and differentiation of embryonic cells, can contribute to tumor growth. Frequent CN losses of FOXC1 were observed in more aggressive tumors and correlated with a reduced protein expression; tumors negative for FOXC1 expression were associated with a shorter time to progression. In addition, FOXC1 showed tumor suppressor activity in in-vitro models. Our data indicate that FOXC1 loss can identify a group of thymic epithelial tumors with poor prognosis, possibly because its tumor suppressor properties. Two color array CGH of a series of 59 thymic epithelial tumors plus evaluation of 2 thymic carcinoma cell lines and one thymoma B1 cell line.

2013-05-03 | E-GEOD-23540 | biostudies-arrayexpress

High Density custom Agilent 44K CGH array analysis of 7q and TET2 region in myelodysplastic/myeloproliferative neoplasms

Project description:Abnormalities of chromosome 7q are common in myeloid malignancies. Agilent CGH arrays targeted to 7q and Affymetrix SNP 6.0 arrays were used to characterise 7q aUPD and deletions. Sample #017 in this data series showed a microdeletion encompassing EZH2. Screening of a total of 614 cases with myeloid disorders revealed 49 monoallelic or biallelic EZH2 mutations in 42 individuals, most commonly myelodysplastic/myeloproliferative neoplasms (27/219; 12%) and myelofibrosis (4/30; 13%). EZH2 encodes the catalytic subunit of the Polycomb repressive complex 2 (PRC2), the highly conserved histone H3 lysine 27 methyltransferase that influences stem cell renewal by epigenetic repression of genes involved in cell fate decisions. EZH2 has oncogenic activity and its overexpression has been causally linked to differentiation blocks in epithelial tumors. Unexpectedly, the mutations we identified resulted in premature chain termination or direct abrogation of histone methyltransferase activity, suggesting that EZH2 acts as a tumor suppressor for myeloid malignancies. High density CGH array analysis of 7q and the TET2 region in 8 atypical myeloproliferative neoplasms

2010-06-30 | E-GEOD-21948 | biostudies-arrayexpress

Genotyping and copy number analysis of human renal epithelial neoplasms

Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations. Experiment Overall Design: We analyzed 20 paraffin-embedded tissues representing conventional renal cell carcinoma (RCC), papillary RCC, chromophobe RCC, and oncocytoma with Affymetrix GeneChip 10K 2.0 Mapping arrays.

2008-04-10 | E-GEOD-9469 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data