<<< Full experiment listing

PXD038871

PXD038871 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleExtracellular vesicle membrane protein profiling and targeted mass spectrometry unveil novel plasma biomarkers for detection of colorectal cancer
DescriptionExtracellular vesicles (EVs) are valuable sources for the discovery of useful cancer biomarkers. This study explores the potential usefulness of tumor cell-derived EV membrane proteins as plasma biomarkers for early detection of colorectal cancer (CRC). EVs were isolated from the culture supernatants of four CRC cell lines by ultracentrifugation, and their protein profiles were analyzed by LC-MS/MS. Bioinformatics analysis of identified proteins revealed 518 EV membrane proteins in common among at least three CRC cell lines. We next used accurate in-clusion mass screening (AIMS) in parallel with iTRAQ-based quantitative proteomic analysis to highlight candidate proteins and validated their presence in pooled plasma-generated EVs from 30 healthy controls and 30 CRC patients. From these, we chose 14 potential EV-derived targets for further quantification by targeted MS assay in a separate individual cohort comprising of 73 CRC and 80 healthy subjects. Quantitative analyses revealed significant increases in ADAM10, CD59 and TSPAN9 levels (2.19- to 5.26-fold, p <0.0001) in plasma EVs from CRC patients, with AUC values of 0.83, 0.95 and 0.87, respectively. Higher EV CD59 levels were significantly corre-lated with distant metastasis (p = 0.0475), and higher EV TSPAN9 levels were significantly asso-ciated with lymph node metastasis (p = 0.0011), distant metastasis at diagnosis (p = 0.0104) and higher TNM stage (p = 0.0065). A two-marker panel consisting of CD59 and TSPAN9 outper-formed the conventional marker CEA in discriminating CRC and stage I/II CRC patients from healthy controls, with AUC values of 0.98 and 0.99, respectively. Our results identify EV mem-brane proteins in common among CRC cell lines and altered plasma EV protein profiles in CRC patients, and suggest plasma EV CD59 and TSPAN9 as a novel biomarker panel for detecting early-stage CRC.
HostingRepositoryPRIDE
AnnounceDate2023-11-14
AnnouncementXMLSubmission_2023-11-14_08:44:05.473.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterChia-Chun Wu
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationListiTRAQ4plex-116 reporter+balance reagent acylated residue; monohydroxylated residue; iodoacetamide derivatized residue
InstrumentLTQ Orbitrap Elite
Dataset History
RevisionDatetimeStatusChangeLog Entry
02022-12-16 00:06:58ID requested
12023-03-11 14:32:56announced
22023-11-14 08:44:06announced2023-11-14: Updated project metadata.
Publication List
Dash S, Wu CC, Wu CC, Chiang SF, Lu YT, Yeh CY, You JF, Chu LJ, Yeh TS, Yu JS, Extracellular Vesicle Membrane Protein Profiling and Targeted Mass Spectrometry Unveil CD59 and Tetraspanin 9 as Novel Plasma Biomarkers for Detection of Colorectal Cancer. Cancers (Basel), 15(1):(2022) [pubmed]
Keyword List
submitter keyword: extracellular vesicles,Colorectal cancer, targeted mass spectrometry, membrane protein, iTRAQ, AIMS
Contact List
Jau Song Yu
contact affiliation1. Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, Taiwan. 2. Molecular Medicine Research Center, Chang Gung University, Taoyuan 33302, Taiwan. 3. Department of Otolaryngology-Head and Neck Surgery, Chang Gung Memorial Hospital, Linkou 33305, Taiwan. 4. Research Center for Food and Cosmetic Safety, College of Human Ecology, Chang Gung University of Science and Technology, Taoyuan 33302, Taiwan.
contact emailyusong@mail.cgu.edu.tw
lab head
Chia-Chun Wu
contact affiliationMolecular Medicine Research Center, Chang Gung University
contact emailwuchiachun9@gmail.com
dataset submitter
Full Dataset Link List
Dataset FTP location
NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2023/03/PXD038871
PRIDE project URI
Repository Record List
[ + ]