PXD027695

PXD027695 is an original dataset announced via ProteomeXchange.

Title	A Novel Classifier Based on Urinary Proteomics for Distinguishing between Benign and Malignant Ovarian Tumors
Description	Preoperative differentiation of benign and malignant tumor types is critical for providing individualized treatment interventions to improve prognosis of patients with ovarian cancer. High-throughput proteomics analysis of urine samples was performed to identify reliable and non-invasive biomarkers that could effectively discriminate between the two ovarian tumor types.
HostingRepository	iProX
AnnounceDate	2021-08-04
AnnouncementXML	Submission_2023-02-09_20:03:03.274.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Maowei Ni
SpeciesList	scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationList	No PTMs are included in the dataset
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2021-08-04 21:04:38	ID requested
1	2021-08-04 21:05:00	announced
⏵ 2	2023-02-09 20:03:04	announced	2023-02-10: Update publication information.

Ni M, Zhou J, Zhu Z, Yuan J, Gong W, Zhu J, Zheng Z, Zhao H, A Novel Classifier Based on Urinary Proteomics for Distinguishing Between Benign and Malignant Ovarian Tumors. Front Cell Dev Biol, 9():712196(2021) [pubmed]

submitter keyword: urinary proteomics, machine learning, ovarian cancer, non-invasive biomarkers, mass spectrometry

Maowei Ni
contact affiliation	Zhejiang Cancer Hospital
contact email	nimw@zjcc.org.cn
lab head
Maowei Ni
contact affiliation	Zhejiang Cancer Hospital
contact email	nimw@zjcc.org.cn
dataset submitter

iProX dataset URI