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PXD039160

PXD039160 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleResistance prediction in HGSOC with NACT using data-independent acquisition proteomics and an ovarian tissue-specific spectral library
DescriptionWe firstly built a high-quality ovarian tissue-specific spectral library containing 130,735 peptides and 10,696 proteins on Orbitrap instruments. Compared to a published pan-human spectral library (DPHL), this spectral library provides 10% more ovary-specific and 3% more ovary-enriched proteins. This library was then applied to analyze data-independent acquisition (DIA) data of tissue samples from an HGSOC cohort treated with NACT, leading to 10,070 proteins quantified, which is 9.73% more than that with DPHL. We then established a six-protein classifier by parallel reaction monitoring (PRM) to effectively predict the resistance of additional chemotherapy after IDS (Log-rank test, p = 0.002), which was further validated with 57 patients from an independent clinical center (p = 0.014). Together, we provided an ovary-specific spectral library for targeted proteome analysis, and proposed a six-protein classifier that could potentially predict chemoresistance in HGSOC patients after NACT-IDS treatment.
HostingRepositoryiProX
AnnounceDate2023-01-02
AnnouncementXMLSubmission_2023-03-07_18:00:23.687.xml
DigitalObjectIdentifier
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportUnsupported dataset by repository
PrimarySubmitterTiannanGuo
SpeciesList scientific name: Homo sapiens; NCBI TaxID: 9606;
ModificationListNo PTMs are included in the dataset
InstrumentQ Exactive HF
Dataset History
RevisionDatetimeStatusChangeLog Entry
02023-01-02 18:49:21ID requested
12023-03-07 18:00:24announced
Publication List
Qian L, Zhu J, Xue Z, Gong T, Xiang N, Yue L, Cai X, Gong W, Wang J, Sun R, Jiang W, Ge W, Wang H, Zheng Z, Wu Q, Zhu Y, Guo T, Resistance prediction in high-grade serous ovarian carcinoma with neoadjuvant chemotherapy using data-independent acquisition proteomics and an ovary-specific spectral library. Mol Oncol, 17(8):1567-1580(2023) [pubmed]
Keyword List
submitter keyword: ovarian cancer, MS spectral library, Data-Independent Acquisition, resistance, targeted proteomics, machine learning
Contact List
Tiannan Guo
contact affiliationWestlake University
contact emailTiannan.guo@hotmail.com
lab head
TiannanGuo
contact affiliationWestlake University
contact emailTiannan.guo@hotmail.com
dataset submitter
Full Dataset Link List
iProX dataset URI