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PXD050347

PXD050347 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitlePediatric papillary thyroid carcinoma
DescriptionPediatric patients with papillary thyroid carcinoma currently lack widely adopted risk stratification criteria, which leads to a lack of individualized treatment and prognosis assessments. In this retrospective study, 83 pediatric benign (PB), 85 pediatric malignant (PM) and 66 adult malignant (AM) thyroid nodules were evaluated, and 10,426 proteins were quantified by mass spectrometry. We found 243 significantly dysregulated proteins from the PM vs. PB and 122 from PM vs. AM. Function and pathway analyses showed the enhanced activation of the inflammatory and immune system in pediatric malignant patients compared with the others. Nineteen proteins were selected to predict recurrence using a machine learning model with an accuracy of 88.24%. Our study generated a protein-based personalized prognostic prediction model that can stratify pediatric patients with papillary thyroid carcinoma into high or low recurrence risk groups, providing a reference for clinical decision-making and individualized treatment.
HostingRepositoryiProX
AnnounceDate2024-03-05
AnnouncementXMLSubmission_2024-03-04_19:14:07.597.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterYaoting Sun
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-03-04 19:12:50ID requested
12024-03-04 19:14:08announced
Publication List
Dataset with its publication pending
Keyword List
submitter keyword: Pediatric papillary thyroid carcinoma, Proteomics, Mass spectrometry, Machine learning, Random survival forest
Contact List
Tiannan Guo
contact affiliationWestlake University
contact emailguotiannan@westlake.edu.cn
lab head
Yaoting Sun
contact affiliationWestlake University
contact emailsunyaoting@westlake.edu.cn
dataset submitter
Full Dataset Link List
iProX dataset URI