PXD015722

PXD015722 is an original dataset announced via ProteomeXchange.

Title	iTRAQ based quantitative proteomic analysis of human saliva to detect differential abundance of candidate proteins for early detection of Oral squamous cell carcinoma
Description	Oral squamous cell carcinoma (OSCC) is one of the most common cancers worldwide including the Asian subcontinent. Oral carcinoma exhibits inherent heterogeneity in terms of the sites involved, etiology and pathology. They occur at multiple sites such as tongue, buccal mucosa, maxilla. Effective approaches towards improving survival rates in OSCC patients are primarily focused on early detection of the disease. The early clinical indication of the disease follows the development of potentially malignant lesions (leukoplakia/erythro-leukoplakia) with varied rates of transformation. Currently histopathological evaluation of oral biopsy is generally practiced to evaluate potential malignancy. However, human saliva has been considered to be a valuable medium for discovering biomarker molecules for malignancy. Exfoliated cancer cells may release protein or RNA molecules into the saliva or free molecules may be secreted or leaked from cancer cells representing gene expression changes associated with tumor development. Salivary proteins thus provide a strong option for development of non-invasive, point-of-care assays for screening/early detection of oral cancers. Dysplastic leukoplakia (LP) of the oral cavity is a potentially malignant condition for oral squamous cell carcinoma (OSCC), early detection of which is an unmet clinical need. In an effort to develop non-invasive biomarker based method for early detection of the disease, we have used quantitative mass spectrometry to identify differently abundant salivary proteins in OSCC (buccal mucosa) patients and individuals with potential to develop cancer (oral dysplastic leukoplakia) in comparison to healthy controls (with risk habits such as tobacco chewing or smoking).
HostingRepository	PRIDE
AnnounceDate	2019-11-12
AnnouncementXML	Submission_2019-11-11_18:50:14.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Ravi Sirdeshmukh
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	iTRAQ4plex-116 reporter+balance reagent acylated residue; monohydroxylated residue; iodoacetamide derivatized residue
Instrument	LTQ Orbitrap Velos

Revision	Datetime	Status	ChangeLog Entry
0	2019-10-07 01:54:21	ID requested
⏵ 1	2019-11-11 18:50:15	announced

Sivadasan P, Gupta MK, Sathe G, Sudheendra HV, Sunny SP, Renu D, Hari PS, Gowda H, Suresh A, Kuriakose MA, Sirdeshmukh R, Salivary proteins from dysplastic leukoplakia and oral squamous cell carcinoma and their potential for early detection. J Proteomics, 212():103574(2020) [pubmed]

submitter keyword: Oral squamous cell carcinoma, shot-gun proteomics, salivary proteomics, iTRAQ, early detection of oral cancer

Ravi sirdeshmukh
contact affiliation	Project investigatior, institute of bioinformatics, Bangalore, Inida Project advisor,Mazumdar Shaw Center for Translational Research, Bangalore,India
contact email	ravisirdeshmukh@gmail.com
lab head
Ravi Sirdeshmukh
contact affiliation	Institute of Bioinformatics
contact email	ravisirdeshmukh@gmail.com
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/2019/11/PXD015722

PRIDE project URI

• PRIDE
  1. PXD015722
     1. Label: PRIDE project
     2. Name: iTRAQ based quantitative proteomic analysis of human saliva to detect differential abundance of candidate proteins for early detection of Oral squamous cell carcinoma