Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GNPS - Profiling of Pancreatic Ductal Adenocarcinoma using serum lipidomics

ABSTRACT: Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer due to its rapid progression, marked potential for metastasis and the difficulty in diagnosis1-3. However, there are no effective liquid tests currently available for PDAC detection besides CA19-9. Here we introduce a noninvasive detection approach that employs machine learning plus untargeted and targeted serum lipidomics to establish an accurate method to detect PDAC.

INSTRUMENT(S): Q-Exactive

ORGANISM(S): Homo Sapiens (ncbitaxon:9606)

SUBMITTER: Guangxi Wang

PROVIDER: MSV000087756 | GNPS | Mon Jul 05 17:38:00 BST 2021

SECONDARY ACCESSION(S): PXD027113

REPOSITORIES: GNPS

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Profiling of Pancreatic Ductal Adenocarcinoma using serum lipidomics

Project description:Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer due to its rapid progression, marked potential for metastasis and the difficulty in diagnosis1-3. However, there are no effective liquid tests currently available for PDAC detection besides CA19-9. Here we introduce a noninvasive detection approach that employs machine learning plus untargeted and targeted serum lipidomics to establish an accurate method to detect PDAC.

2021-07-05 | MSV000087756 | MassIVE

Detection of pancreatic ductal adenocarcinoma-associated proteins in serum

Project description:Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancer types, partly because it is frequently identified at an advanced stage, when surgery is no longer feasible. Therefore, early detection using minimally invasive methods such as blood tests may improve outcomes. However, studies to discover molecular signatures for the early detection of PDAC using blood tests have only been marginally successful. In the current study, a quantitative glycoproteomic approach via data-independent acquisition mass spectrometry (DIA-MS) was utilized to detect glycoproteins in 29 patient-matched PDAC tissues and sera. Total of 892 glycopeptides originated from 141 glycoproteins had PDAC associated changes beyond normal variation. We further evaluated the specificity of these serum detectable glycoproteins by comparing their abundance in 53 independent PDAC patient sera and 65 cancer-free controls. The PDAC tissue-associated glycoproteins we have identified represent an inventory of serum detectable PDAC glycoproteins as candidate biomarkers that can be potentially used for the detection of PDAC using blood tests.

2023-12-19 | PXD039273 | Pride

Pancreatic ductal adenocarcinoma

Project description:Pancreatic ductal adenocarcinoma

| PRJNA432344 | ENA

Genome profiling of pancreatic adenocarcinoma

Project description:Pancreatic adenocarcinoma is one of the most aggressive human cancers and displays many different chromosomal abnormalities and mutations. By using 244K high-resolution array-comparative genomic hybridization (aCGH) we studied the genome alterations of 39 fine-needle aspirations from pancreatic adenocarcinoma and 9 human adenocarcinoma pancreatic cell lines.

2011-12-31 | E-MTAB-570 | biostudies-arrayexpress

Image based identification and targeting of cancer stem cells in pancreatic adenocarcinoma

Project description:Pancreatic intraepithelial neoplasia (PanIN) is a premalignant lesion that can progress to pancreatic ductal adenocarcinoma, a highly lethal malignancy marked by its late stage at clinical presentation and profound drug resistance. Here we developed novel fluorescent reporter mice that show that the stem cell determinant, Musashi (Msi) is a critical element of pancreatic cancer progression. These reporters allowed functional and image based tracking of stem cell signals within cancers in vivo, revealing that Msi expression rises as PanINs progress to adenocarcinoma, and that Msi reporter+ tumor cells are the key drivers of pancreatic cancer. To visualize and track the function of live Msi-expressing cells in vivo, we developed Msi knock-in reporters in which fluorescent signals reflected endogenous Msi expression. This dataset represents pancreatic cancer_wt and pancreatic cancer_KO cells. Three wt reps and three KO reps.

2016-06-15 | E-GEOD-73312 | biostudies-arrayexpress

Image based identification and targeting of cancer stem cells in pancreatic adenocarcinoma

2016-06-15 | GSE73312 | GEO

Gene expression in pancreatic ductal adenocarcinoma

Project description:To further develop our understanding of the gene expression signature of pancreatic ductal adenocarcinoma Gene expression signatures in macrodissected resected pancreatic ductal adenocarcinoma specimens

2014-03-14 | E-GEOD-55643 | biostudies-arrayexpress

Pancreatic ductal adenocarcinoma

Project description:We sought to determine whether certain miRNAs could serve as a biomarker for the prognosis of pancreatic ductal adenocarcinoma (PDAC) and uncover the uncharacterized miRNAs function in the pancreatic carcinogenesis

2019-10-01 | GSE109918 | GEO

RNA-sequencing of human pancreatic adenocarcinoma cancer tissues

Project description:RNA-seq profiling was conducted on clinically-annotated human pancreatic adenocarcinoma cancer tissues We measured the transcriptome in 51 clinically-annotated human pancreatic adenocarcinoma cancer tissues

2016-06-11 | E-GEOD-79668 | biostudies-arrayexpress

Expression profiling of pancreatic adenocarcinoma and ductal adenocarcinoma cell lines.

Project description:We characterized baseline gene expression profiles for eleven human pancreatic adenocarcinoma and ductal adenocarcinoma cell lines.

2018-11-22 | GSE122818 | GEO

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