Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers

ABSTRACT: Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers

PROVIDER: PRJNA908740 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22526600_1.fastq.gz	Fastqsanger.gz
	SRR22526600_2.fastq.gz	Fastqsanger.gz
	SRR22526601_1.fastq.gz	Fastqsanger.gz
	SRR22526601_2.fastq.gz	Fastqsanger.gz
	SRR22526602_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 76

Similar Datasets

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_W]

Project description:Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_W]

| PRJNA908745 | ENA

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_Z]

Project description:Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_Z]

| PRJNA908748 | ENA

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_Q]

Project description:Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_Q]

| PRJNA908744 | ENA

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_W]

2022-12-07 | GSE220063 | GEO

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_Q]

2022-12-07 | GSE220061 | GEO

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers [Proj_07182_Z]

2022-12-07 | GSE220066 | GEO

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers

Project description:Inflammation has long been recognized to contribute to cancer development, particularly across the gastrointestinal tract. Patients with inflammatory bowel disease have an increased risk for bowel cancers, and it has been posited that a field of genetic changes may underlie this risk. Here, we define the clinical features, genomic landscape, and germline alterations in 174 patients with colitis-associated cancers and sequenced 29 synchronous or isolated dysplasia. TP53 alterations, an early and highly recurrent event in colitis-associated cancers, occur in half of dysplasia, largely as convergent evolution of independent events. Wnt pathway alterations are infrequent, and our data suggest transcriptional rewiring away from Wnt. Sequencing of multiple dysplasia/cancer lesions from mouse models and patients demonstrates rare shared alterations between lesions. These findings suggest neoplastic bowel lesions developing in a background of inflammation experience lineage plasticity away from Wnt activation early during tumorigenesis and largely occur as genetically independent events. Colitis-associated cancers (CACs) develop in patients with inflammatory bowel disease and have distinct genomic features compared to sporadic colorectal cancers. Here, the authors characterize the genomic alterations of CAC tumors and dysplasia, finding decreased Wnt signaling and a lack of shared early genetic steps.

| S-EPMC9825391 | biostudies-literature

Integrated clinical and genomic analysis identifies driver events and molecular evolution of colitis-associated cancers

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-12-07 | GSE220067 | GEO

Integrated in vivo multiomics analysis identifies p21-activated kinase signaling as a driver of colitis

Project description:Background and aims: To gain insight into the pathogenesis of chronic colonic inflammation (colitis), we performed a multi-omic analysis that integrates RNA microarray, total protein mass spectrometry, and phospho-protein measurements from a mouse model. We used this multi-dimensional dataset to track information flow from RNA to protein to phospho-protein and to ascertain which facets of inflammation are described by each data stream. Using trans-omic co-expression network analysis, we find that there are distinct modes of regulation present in the conserved and divergent correlation structures of the three data streams. As a result, each data stream provides a unique viewpoint on the molecular pathogenesis of colitis. Nevertheless, multiple independent computational analyses identified increased signaling through p21-activated kinase (Pak) during colitis, and chemical inhibition of Pak1/2 suppressed inflammation in mice. These studies provide a comprehensive view of the state of signaling in the context of colitis and identify Pak as a therapeutic target. We used microarrays to examine changes in global gene expression patterns associated with chronic inflammation induced by the T cell transfer model of Inflammatory Bowel Disease.

2017-06-16 | GSE95705 | GEO

Targeting Aberrant Replication and DNA Repair Events for Treating Breast Cancers

Project description:Targeting Aberrant Replication and DNA Repair Events for Treating Breast Cancers

| PRJNA679892 | ENA