Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Development and Evaluation of a CEA Algorithm.

ABSTRACT: Interventions: None. Primary outcome(s): The aim of the study is to create a serum CEA-measurement based algorithm of CEA rising. If the algorithm proves higher sensitivity of detecting recurrence, and therefore higher curable treatment, it can result in an application which helps professionals in health care, mainly general practitioners, with decision making. One should think of decisions like closer monitoring of CEA measurements, additional imaging based on serum CEA measurements (CEA-triggered imaging”) or referring to a specialist Study Design: Non-randomized controlled trial, Open (masking not used), N/A , unknown, Other

DISEASE(S): Maligne Colorectal Tumor

PROVIDER: 2442417 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Identification of a collagen marker in urine improves the detection of colorectal liver metastases

Project description:Previously, we reported that a combination of a collagen alpha-1(I) natural occurring peptide (NOP) AGPP(-OH)GEAGKP(-OH)GEQGVP(-OH)GDLGAP(-OH)GP (AGP) and serum carcinoembryonic antigen (CEA) has the potential to detect colorectal liver metastases (CRLM). The combined method needs to be adapted to increase the sensitivity and specificity before it can be implemented in the clinic. This mass spectrometry study aimed to identify additional collagen NOPs in urine to further increase the sensitivity and specificity of our previously published method and search for the most discriminating NOP panel. The new assay was developed based on urine samples from 100 healthy controls and 100 patients suffering from CRLM. Two additional NOPs were identified: GPPGEAGK(-OH)P(-OH)GEQGVP(-OH)GDLGAP(-OH)GP (GPP) originating from collagen alpha-1(I) and GNDGARGSDGQPGPP(-OH)GP(-OH)P(-OH)GTAGFP(-OH)GSP(-OH)GAK(-OH)GEVGP (GND) originating from collagen alpha-1(III). A molecular model combining NOPs (AGP, GPP, and GND) and CEA was generated. Molecules that did not contribute to the diagnostic power of the model were removed, resulting in a model only consisting of GND and CEA. In this model, 86% sensitivity and 84% specificity in the discovery set, and 92% sensitivity and 90% specificity in the validation set were reached. These percentages are significantly higher than the current model based on AGP and CEA (p=0.032). The performance of the new model is better than the currently used techniques in the clinic (e.g. CT-scan, ultrasound, serum CEA), which have a sensitivity between 57-70% and a specificity between 90-96%.

2019-11-15 | PXD013533 | Pride

Identification of a collagen marker in urine improves the detection of colorectal liver metastases

2019-11-15 | PXD013705 | Pride

15602737-710d-472b-b6f6-fd1aa50a5d3e - samples

Project description:Heatrich-BS was performed on 14 patients monitored across 5-8 timepoints each. The predicted tumor fraction trend was compared with CEA values and tumor measurements from CT scans.

| EGAD00001008714 | EGA

Single cell RNA-sequencing in the mouse central amygdala (CEA)

Project description:The central amygdala (CEA) is a brain region that consists of primarily GABAergic neurons. It has been widely investigated for its role in many innate and adaptive behaviors, such as appetitive and defensive behaviors. Despite the complex functions of CEA, the molecular diversity of CEA neurons has not been systemically examined. Here, we performed single-cell RNA-sequencing (scRNA-Seq) in the CEA to classify the molecularly defined neuron types in this region.

2023-02-03 | GSE213828 | GEO

MicroRNA transcriptional profiling in serum-starved human aortic smooth muscle cells

2009-12-25 | GSE19544 | GEO

Lifespan-regulated CAR-macrophages from Myeloid Progenitors for Enhanced Colorectal Cancer Therapy

Project description:To investigate the activation of CAR-macrophages by the antigen CEA, we treated CAR-macrophages with CEA and detected them by RNA-Seq.

2024-10-17 | GSE279348 | GEO

Quantative proteomic analysis of teh central amygdala in neuropathic pain model rats

Project description:Neuropathic pain is a major clinic probelm as it is very difficult to treat and mechanism remain unknown. Here, we investigated the differential expression of proteins in the central nuecleus of amygdala (CeA) in neuropathic pain moldel spinal nerve transection (SNT)in rats. CeA was excised from naive, sham, SNTmodels at days 3, 7, 14 and 21 rats. The aim was to quatify the differential proteins in CeA including memebrane proteins. We used gel- and mass spectrometry- based proteomics. For gel-proteomics, total tissue lysate proteins were separated by 2D-PAGE. The 2D gels from different SNT time points against Sham and control rats were compared using Progenesis SameSpot software. The spots with fold change greater then 2 excised for the proteins IDs by LC-MS/MS. Protein spots were digested using trypsin. Extracted peptides were injected on the nano C18 column and measured by a LTQ Orbitrap XL or a LTQ Orbitrap Velos mass spectrometers. For the identification of membrane proteins in CeA, we used 1-SDS-PAGE and cut the gel region of MW 80 kDa and higher for nano-LC-MS/MS analysis. We also quantified membrane proteins by utilising triplex stabel isotope dimethyl labelling at the peptide level. Sham, control and day 3, 7 and 21 after SNT surgery rats CeA membrane proteins were purified and digested by trypsin and labelled with "light", "medium" and "heavy" dimethyl labelling reagents. The resulting peptides were analysed by a nano LC connected to the Q Exactive mass spectrometer. Quantification of peptide was processed using Proteome Discoverer 1.3.

2020-02-21 | PXD017473 | Pride

Project description:Live-cell imaging reveals kinetic determinants of quality control triggered by ribosome stalling

| PRJNA659224 | ENA

MicroRNA transcriptional profiling in serum-starved human aortic smooth muscle cells

Project description:We sought to identify microRNAs that were differentially regulated in cultured primary human aortic smooth muscle cells (SMCs) when exposed to growth arrest via serum starvation over two time points - 48 hours and 72 hours, when compared with serum-fed cells. This treatment leads to increased expression of SMC differentiation markers such as ACTA2, MYH11 and TAGLN. We identified 31 significantly regulated miRNA candidates during this process, 28 rising and 3 falling. Human aortic SMCs (AoSMCs) were propagated in growth media. Control plates were harvested, and the remaining plates were serum starved for 48 (SS48) or 72 hours (SS72) in serum-free basal media. Several arrays were excluded from final analysis after QC, resulting in a final set of 10.

2009-12-25 | E-GEOD-19544 | biostudies-arrayexpress

Expression data from CEA high and CEA low cells in colorectal cancer

Project description:We used microarrays to detailed global expression of colorectal cancer cells that expressed high or low levels of carcinoembryonic antigen. CEA high and CEA low cells were purified from LoVo and xenograft tumor derived from colorectal cancer patient (xhCRC) and were used for RNA extraction.

2015-08-27 | E-GEOD-72398 | 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