PXD034221

PXD034221 is an original dataset announced via ProteomeXchange.

Title	Serum proteomics profiling identifies a signature for lung cancer early diagnosis
Description	Lung cancer is the most common cause of death from cancer worldwide, largely due to frequent late diagnosis. Thus, there is the urgent need to develop new approaches to improve theearly detection of lung cancer, which would greatly affect patient survival. The quantitative protein expression profiles of microvesicles isolated from sera from 46 lung cancer patients and 41 high-risk non-cancer subjects were obtained using a mass spectrometry method based on library matching. We identified 33 differentially expressed proteins that allow discriminating the two groups. Based on serum protein expression profiles, we built a machine learning algorithm , which highlighted a decrease in the levels of Arysulfatase A (ARSA) as the most discriminating factor found in tumors. Our study identified a signature able to discriminate with high specificity and selectivity early lung cancer patients from high-risk healthy subjects. Among the differentially expressed proteins, ARSA emerged as the most promising biomarker for lung cancer early diagnosis.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:14:34.928.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Roberta Noberini
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive HF

Revision	Datetime	Status	ChangeLog Entry
0	2022-05-30 11:44:16	ID requested
1	2023-02-13 08:25:32	announced
⏵ 2	2023-11-14 08:14:38	announced	2023-11-14: Updated project metadata.

Gasparri R, Noberini R, Cuomo A, Yadav A, Tricarico D, Salvetto C, Maisonneuve P, Caminiti V, Sedda G, Sabalic A, Bonaldi T, Spaggiari L, Serum proteomics profiling identifies a preliminary signature for the diagnosis of early-stage lung cancer. Proteomics Clin Appl, 17(2):e2200093(2023) [pubmed]

submitter keyword: early diagnosis, serum,microvesicles, lung cancer, biomarker

Tiziana Bonaldi
contact affiliation	European institute of oncology
contact email	tiziana.bonaldi@ieo.it
lab head
Roberta Noberini
contact affiliation	Istituto Europeo di Oncologia
contact email	roberta.noberini@ieo.it
dataset submitter

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/2023/02/PXD034221

PRIDE project URI

• PRIDE
  1. PXD034221
     1. Label: PRIDE project
     2. Name: Serum proteomics profiling identifies a signature for lung cancer early diagnosis