PXD023302

PXD023302 is an original dataset announced via ProteomeXchange.

Title	High-throughput proteomic analysis of rectal cancer for prediction of non-complete response after concurrent chemoradiation therapy
Description	Colorectal cancer (CRC) is the third most common lethal malignancy in Korea and worldwide. Rectal cancer patients occupy about 30% of CRC patients, and the majority of rectal cancer patients had locally advanced disease at diagnosis. The standard treatment of locally advanced rectal cancer (LARC) is neoadjuvant radiation therapy with concurrent chemotherapy (CCRT) followed by total mesorectal excision (TME). This multidisciplinary team approach improved local tumor control and overall survival of rectal cancer patients. High throughput proteomic analysis and machine learning algorithm identify DUOX2 (dual oxidase 2) as a novel biomarker for prediction of non-complete response after concurrent chemoradiation therapy for rectal cancer.High throughput proteomic analysis and machine learning algorithm identify DUOX2 (dual oxidase 2) as a novel biomarker for prediction of non-complete response after concurrent chemoradiation therapy for rectal cancer.
HostingRepository	PRIDE
AnnounceDate	2023-11-14
AnnouncementXML	Submission_2023-11-14_08:29:54.945.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Dohyun Han
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue
Instrument	Q Exactive Plus

Revision	Datetime	Status	ChangeLog Entry
0	2020-12-23 07:20:47	ID requested
1	2023-03-10 19:13:38	announced
⏵ 2	2023-11-14 08:29:55	announced	2023-11-14: Updated project metadata.

Lee H, Ryu HS, Park HC, Yu JI, Yoo GS, Choi C, Nam H, Lee JJB, Do IG, Han D, Ha SY, Dual Oxidase 2 (DUOX2) as a Proteomic Biomarker for Predicting Treatment Response to Chemoradiation Therapy for Locally Advanced Rectal Cancer: Using High-Throughput Proteomic Analysis and Machine Learning Algorithm. Int J Mol Sci, 23(21):(2022) [pubmed]

submitter keyword: Human, FFPE, LFQ, rectal cancer

Dohyun Han
contact affiliation	Proteomics core facility, Biomedical Research Institute, Seoul National University Hospital
contact email	hdh03@snu.ac.kr
lab head
Dohyun Han
contact affiliation	Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital
contact email	hdh03@snu.ac.kr
dataset submitter

Dataset FTP location NOTE: Most web browsers have now discontinued native support for FTP access within the browser window. But you can usually install another FTP app (we recommend FileZilla) and configure your browser to launch the external application when you click on this FTP link. Or otherwise, launch an app that supports FTP (like FileZilla) and use this address: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2023/03/PXD023302

PRIDE project URI

• PRIDE
  1. PXD023302
     1. Label: PRIDE project
     2. Name: High-throughput proteomic analysis of rectal cancer for prediction of non-complete response after concurrent chemoradiation therapy