Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from early stage CRC patients' tumors [NanoString-Test]

ABSTRACT: This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE81985 | GEO | 2017/08/02

SECONDARY ACCESSION(S): PRJNA323566

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression data from early stage CRC patients' tumors [NanoString-Design]

Project description:This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

2017-08-02 | GSE81983 | GEO

Expression data from early stage CRC patients' tumors [Agilent]

Project description:This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

2017-08-02 | GSE81981 | GEO

Expression data from early stage CRC patients' tumors [Affymetrix]

Project description:This study was conducted in order to identify biomarkers for a prognostic gene expression signature for metastases in early stage CRC.

2017-08-02 | GSE81980 | GEO

Expression data from healthy controls and early stage CRC patient's tumor

Project description:Metastasis is the major cause of cancer mortality. Up to 25% of early stage sporadic colorectal cancer (CRC) patients succumb to metastasis after curative surgery. We used microarrays to detail gene expression and identified a metastasis-prone signature for early stage CRC. Keywords: RNA expression Tumors from age- and ethnicity-matched 70 patients and biopsies from 12 healthy controls were used. We aimed to find a metastasis-prone signature for early stage CRC by genome-wide expression profiling of age- and ethnicity-matched patients and healthy controls using the Affymetrix U133 Plus 2 array.

2010-02-15 | E-GEOD-9348 | biostudies-arrayexpress

lncRNA expression of CRC liver metastasis

Project description:The purpose of this study is to identify lncRNAs involved in the pathology of colorectal cancer (CRC) liver metastasis and investigate their underlying mechanisms. A total of 439 miRNAs were identified to be differentially expressed between 7 primary CRC tissues with liver metastases and 8 CRC tissues without liver metastases from 15 patients by Arraystar lncRNA microarrays

2017-02-28 | GSE95423 | GEO

Expression data from healthy controls and early stage CRC patient's tumor

2010-02-15 | GSE9348 | GEO

Gene expression profiling identifies potential biomarkers for colorectal cancer using NanoString nCounter assay

Project description:The purpose of this study was to identify the differentially expressed genes and new potential predictive and prognostic molecular biomarkers for CRC. We identified 101 genes that were upregulated and 76 genes that were downregulated in metastatic tumors. After validation, a reduced set of 27 genes revealed evident correlation with CRC in the tumor tissue. Several genes in the pan-cancer panel showed significant differential expression, which were more universal than others in the CRC tissue. Since some of them have not been reported as being directly related to CRC yet, future mechanism studies can be designed based on this study.Our study demonstrated NanoString nCounter assay could serve as an alternative approach for gene expression analysis and identified several unreported differently expressed genes in CRC patients, which may provide some important clues for more in-depth study of CRC and may serve as potential predictive molecular biomarkers for clinical diagnosis application as well.

2019-05-05 | GSE130557 | GEO

The proteome of MSI-H CRC tumors

Project description:To better understand the CRC proteomic changes in time after INFg induction

2020-07-10 | PXD019252 | Pride

Gene expression profiling of mucinous ovarian tumors and comparison with upper and lower gastrointestinal tumors

Project description:Advanced stage MOC have poor chemotherapy response and prognosis and biomarkers to help with Stage I adjuvant treatment are lacking. In addition, differentiating primary mucinous ovarian carcinoma (MOC) from gastrointestinal (GI) metastases to the ovary is challenging due to phenotypic similarities. Clinicopathological and gene expression data were analysed to identify prognostic and diagnostic features.

2022-08-26 | GSE203611 | GEO

Quantitative proteomics reveals that distant recurrence-associated protein R-Ras and Transgelin predict post-surgical survival of colorectal cancer Stage III patients

Project description:Surgical resection is the major clinical intervention for Stage III colorectal cancer (CRC) currently. However, as much as 30.8% of the patients who had ever taken curative resection came out of recurrence eventually. Therefore, to facilitate formulating effective treatment plans, there is an intense demand for Stage III CRC post-surgical prognostic biomarkers. In this study, we identified total 146 differentially expressed proteins (DEPs) associated with poor prognosis in Stage III CRC patients with TMT-based quantitative mass spectrometry (MS). In these DEPs, the protein expression level of R-Ras and Transgelin were tested with immunohistochemistry (IHC) of 192 individual specimens. Further Kaplan-Meier analysis revealed that the level of R-Ras and Transgelin is associated with patients’ 5-year overall survival (OS) and disease-free survival (DFS) significantly, and multivariate Cox-regression analyses revealed that R-Ras and Transgelin are independent prognostic factors for OS and DFS respectively. In conclusion, our study presents that R-Ras and Transgelin are potential post-surgical prognostic biomarkers of Stage III CRC.

2016-06-20 | PXD002903 | Pride

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