PXD040560

PXD040560 is an original dataset announced via ProteomeXchange.

Title	LC-MS based urine untargeted metabolomic analyses to identify and subdivide urothelial cancer
Description	Urine metabolomics has been a promising technique in the liquid biopsy of urothelial cancer (UC). The comparison of upper tract urothelial cancer (UTUC), lower tract urothelial cancer (BCa), and healthy controls (HCs) needs to be performed to find related biomarkers. In our investigation, urine samples from 34 UTUCs, 45 BCas, and 53 gender- and age-matched HCs were analyzed using liquid chromatography-high resolution mass spectrometry (LC-HRMS). In different groups, the differential metabolites and the disturbed metabolism pathways were explored. Transcriptomics and urine metabolomics are combined to identify the probable disturbed gene in BCa. With an area under the curve (AUC) of 0.815, the panel consisting of prostaglandin I2, 5-methyldeoxycytidine, 2,6-dimethylheptanoyl carnitine, and deoxyinosine was able to discriminate UC from HC. With an AUC of 0.845, the validation group also demonstrated strong predictive ability. UTUC and BCa without hematuria could be distinguished using the panel of 5'-methylthioadenosine, L-beta-aspartyl-L-serine, dehydroepiandrosterone sulfate, and N'-formylkynurenine (AUC=0.858). The metabolite panel comprising aspartyl-methionine, 7-methylinosine, and alpha-CEHC glucuronide could discriminate UTUC from BCa with hematuria with an AUC of 0.83. Fatty acid biosynthesis, purine metabolism, tryptophan metabolism, pentose and glucuronate interconversions, and arachidonic acid metabolism were dysregulated when comparing UC with HCs. PTGIS and BCHE, the genes related to the metabolism of prostaglandin I2 and myristic acid respectively, were significantly associated with the survival of BCa. Not only could LC-HRMS urine metabolomic investigations distinguish UC from HCs, but they could also identify UTUC from BCa.
HostingRepository	iProX
AnnounceDate	2023-03-02
AnnouncementXML	Submission_2023-06-06_23:38:54.673.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Ming Yang
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	LTQ Orbitrap

Revision	Datetime	Status	ChangeLog Entry
0	2023-03-02 18:18:28	ID requested
1	2023-03-02 18:18:45	announced
⏵ 2	2023-06-06 23:38:56	announced	2023-06-07: Update publication information.

Yang M, Liu X, Tang X, Sun W, Ji Z, LC-MS based urine untargeted metabolomic analyses to identify and subdivide urothelial cancer. Front Oncol, 13():1160965(2023) [pubmed]

submitter keyword: Urine metabolomics, Bladder cancer, LC-HRMS, Biomarkers, Upper tract urothelial cancer，Liquid biopsy

Zhigang Ji
contact affiliation	Peking Union Medical College Hospital
contact email	pumc.yangming@gmail.com
lab head
Ming Yang
contact affiliation	Peking Union Medical College Hospital, Chinese Academy of Medical Science, Peking Union Medical College
contact email	pumc.yangming@gmail.com
dataset submitter

iProX dataset URI