Dataset Information

ITRAQ based quantitative proteomic analysis of human saliva to detect differential abundance of candidate proteins for early detection of Oral squamous cell carcinoma

ABSTRACT: 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).

INSTRUMENT(S): LTQ Orbitrap Velos

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Saliva

SUBMITTER: Ravi Sirdeshmukh

LAB HEAD: Ravi sirdeshmukh

PROVIDER: PXD015722 | Pride | 2019-11-12

REPOSITORIES: Pride

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Publications

Salivary proteins from dysplastic leukoplakia and oral squamous cell carcinoma and their potential for early detection.

Sivadasan Priya P Gupta Manoj Kumar MK Sathe Gajanan G Sudheendra H V HV Sunny Sumsum P SP Renu Durairaj D Hari P S PS Gowda H H Suresh Amritha A Kuriakose Moni Abraham MA Sirdeshmukh Ravi R

Journal of proteomics 20191107

Dysplastic leukoplakia (LP) of the oral cavity is a potentially malignant condition for oral squamous cell carcinoma (OSCC), early detection of which remains an unmet clinical need. In an effort to develop non-invasive biomarker based method for early detection of the disease, differential proteomic profiling was carried out with the saliva from patients with risk habits and diagnosed with LP and those with lymph node negative and positive OSCC in comparison to healthy controls with risk habits. ...[more]

PMID: 31706945

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Project description:Differentially methylated oral squamous cell carcinoma (OSCC) biomarkers, identified in-vitro and validated in well-characterized surgical specimens, have shown poor clinical correlation in cohorts with different risk profiles. To overcome this lack of relevance we used the HumanMethylation27 BeadChip, publicly available methylation and expression array data, and Quantitative Methylation Specific PCR to uncover differential methylation in OSCC clinical samples with heterogeneous risk profiles. A two stage-design consisting of Discovery and Prevalence screens was used to identify differential promoter methylation and deregulated pathways in patients diagnosed with OSCC and head and neck squamous cell carcinoma. Promoter methylation of KIF1A (k=0.64), HOXA9 (k=0.60), NID2 (k=0.60), and EDNRB (k=0.60) had a moderate to substantial agreement with clinical diagnosis in the Discovery screen. HOXA9 had 68% sensitivity, 100% specificity and a 0.81 AUC. NID2 had 71% sensitivity, 100% specificity and a 0.79 AUC. In the Prevalence screen HOXA9 (k=0.82) and NID2 (k=0.80) had an almost perfect agreement with histologic diagnosis. HOXA9 had 85% sensitivity, 97% specificity and a 0.95 AUC. NID2 had 87% sensitivity, 95% specificity and a 0.91 AUC. A HOXA9 and NID2 gene panel had 94% sensitivity, 97% specificity and a 0.97 AUC. In saliva from OSCC cases and controls HOXA9 had 75% sensitivity, 53% specificity and a 0.75 AUC. NID2 had 87% sensitivity, 21% specificity and a 0.73 AUC. This Phase I Biomarker Development Trial identified a panel of differentially methylated genes in normal and OSCC clinical samples from patients with heterogeneous risk profiles. This panel may be useful for early detection and cancer prevention studies. The 12 samples analyzed comprise equal numbers of three tissue-types: Primary oral squamous cell carcinoma, Oral leukoplakia and Normal oral mucosa. Gender, age and smoking-status were approximately equally represented in these goups. Normal oral mucosa served as a control.

Dataset Information

ITRAQ based quantitative proteomic analysis of human saliva to detect differential abundance of candidate proteins for early detection of Oral squamous cell carcinoma

Publications

Salivary proteins from dysplastic leukoplakia and oral squamous cell carcinoma and their potential for early detection.

Similar Datasets

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