Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Refining Colorectal Cancer Classification and Clinical Stratification Through a Single-Cell Atlas

ABSTRACT: Refining Colorectal Cancer Classification and Clinical Stratification Through a Single-Cell Atlas

PROVIDER: PRJNA827831 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Refining Colorectal Cancer Classification and Clinical Stratification Through a Single-Cell Atlas

Project description:To determine and dissect the extent of tumor, immunological, and stromal heterogeneity in CRC patients, we performed droplet-based scRNA-seq on 16 racially diverse, treatment naïve CRC patient tissue samples and seven adjacent normal colonic tissue samples (totaling 23 samples), yielded 49,589 single cells enabling high-resolution depiction of the cellular diversity and heterogeneity within the tumor and microenvironmental cells.

2022-04-19 | GSE200997 | GEO

Correction: Refining colorectal cancer classification and clinical stratification through a single-cell atlas.

Project description: Not available

| S-EPMC9277898 | biostudies-literature

Mutational classification of colorectal cancer

Project description:Mutational classification of colorectal cancer

| PRJNA319429 | ENA

Amplification of 1q32.1 refines the molecular classification of endometrial carcinoma: SNP array

Project description:The experiment aimed at refining the classification of endometrial cancer by profiling somatic copy number aberrations (SCNAs). SCNAs affecting chromosome 1q32.1 significantly correlated with worse survival and functional validation of a plausible oncogene showed MDM4 as an oncogenic driver in 1q32.1 and a putative therapeutic target for NSMP ECs.

2019-07-27 | E-MTAB-5908 | biostudies-arrayexpress

caArray_willm-00090: Gene Expression Profiling Reveals Novel Genes for Improved Risk Classification and Outcome Prediction in Pediatric Acute Lymphoblastic Leukemia: Identification, Cloning, and Validation of OPAL1

Project description:Affymetrix HG_U95Av2 oligonucleotide microarrays were used to perform gene expression profiling of 254 cases of pediatric ALL in order to determine genes predictive of outcome that may be useful in refining risk classification.

2016-12-22 | GSE92708 | GEO

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [CytoScanHD_Array]

Project description:Hepatoblastoma (HB) is the predominant pediatric liver cancer with limited therapeutic options for patients with aggressive tumors. Nevertheless, it is a rare disease. Here, we performed a high-throughput molecular study of 32 patients with HB and major findings were validated in additional 80 cases. We unveiled an epigenetic footprint including downregulation of RNA-editing, hyperediting of the tumor suppressor BLCAP,14q32 DLK1-DIO3 locus overexpression, DNA hypomethylation and CpG island hypermethylation. Based on these findings, we defined an integrative molecular classification of HB that improve current clinical stratification, and identified CHKA as a therapeutic target for the poor prognostic subclass.

2020-03-23 | GSE132218 | GEO

A harmonized atlas of spinal cord cell types and their computational classification

Project description:A harmonized atlas of spinal cord cell types and their computational classification

| PRJNA665041 | ENA

Gene expression Classification of Colon Cancer defines six molecular subtypes with distinct clinical, molecular and survival characteristics [CGH]

Project description:From a clinical and molecular perspective, colon cancer (CC) is a heterogeneous disease but to date no classification based on high-density transcriptome data has been established. The aim of this study was to build up a robust molecular classification of mRNA expression profiles (Affymetrix U133Plus2) of a large series of 443 CC and to validate it on an independent serie of 123 CC and 906 public dataset. We identified and validated six molecular subtypes in this large cohort as a combination of multiple molecular processes that complement current disease stratification based on clinicopathological variables and molecular markers. The biological relevance of these subtypes was consolidated by significant differences in survival. These insights open new perspectives for improving prognostic models and targeted therapies.

2013-05-22 | GSE40966 | GEO

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [HTA-2_0]

2020-03-23 | GSE132037 | GEO

Epigenetic footprint of hepatoblastoma defines a novel integrative molecular classification with clinical implications [Infinium MethylationEPIC]

2020-07-09 | GSE132399 | GEO