PXD016127

PXD016127 is an original dataset announced via ProteomeXchange.

Title	Quantitative Proteomic Profiling for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasm using Pancreatic Cyst Fluid
Description	The increased number of pancreatic cyst lesions (PCLs) have been detected through the development of abdominal imaging techniques, such as computed tomography (CT), magnetic resonance imaging (MRI), and endoscopic ultrasound (EUS). However, accurate classification of cystic lesions is difficult because of the lack of standardized diagnostic methods, and thus potentially unnecessary surgical resection has been performed on pancreatic cyst patients. Among four most common types of cystic lesions of pancreas, intraductal papillary mucinous neoplasms (IPMNs), mucinous cystic neoplasms (MCN), serous cystic neoplasms (SCN), and solid pseudopapillary neoplasms (SPNs), IPMNs, the precursor lesion of pancreatic cancer, have been detected most frequently, and are subdivided into low-grade dysplasia (LGD), high-grade dysplasia (HGD), and invasive IPMN in accordance with their malignancy. To discover the potential biomarkers of the histological grades of IPMN, we investigated pancreatic cyst fluid proteins that are differentially expressed in accordance with the IPMN malignancy by LC-MS/MS analysis.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_05:12:14.967.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Misol Do
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; acetylated residue; iodoacetamide derivatized residue
Instrument	Q Exactive

Revision	Datetime	Status	ChangeLog Entry
0	2019-11-04 03:38:26	ID requested
1	2020-09-09 03:27:56	announced
⏵ 2	2024-10-22 05:12:15	announced	2024-10-22: Updated project metadata.

Do M, Kim H, Shin D, Park J, Kim H, Han Y, Jang JY, Kim Y, Marker Identification of the Grade of Dysplasia of Intraductal Papillary Mucinous Neoplasm in Pancreatic Cyst Fluid by Quantitative Proteomic Profiling. Cancers (Basel), 12(9):(2020) [pubmed]

10.3390/cancers12092383;

submitter keyword: mucinous cystic neoplasm (MCN),pancreatic cyst fluid, biomarkers, intraductal papillary mucinous neoplasm (IPMN), serous cystic neoplasm (SCN), LC-MS/MS

Youngsoo Kim
contact affiliation	Joint faculty of Department of Biomedical Sciences & Biomedical Engineering, Seoul National University College of Medicine, 103 Daehak0ro, Seoul, Korea
contact email	biolab@snu.ac.kr
lab head
Misol Do
contact affiliation	Seoul National University College of Medicine
contact email	jm97129@naver.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD016127
     1. Label: PRIDE project
     2. Name: Quantitative Proteomic Profiling for Predicting Grade of Dysplasia in Intraductal Papillary Mucinous Neoplasm using Pancreatic Cyst Fluid