ArticleAsian Pacific journal of cancer prevention : APJCP2021
Protein Profile of Human Saliva as a Predictive and Prognostic Tool for OSCC in Tamol Chewer's Population in Assam.
Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Salivary biomarkers in oral cancer diagnosis: advancing conventional treatment strategies.Military Medical Research · 2026Review
- The Use of Diagnostic Tumor Markers in Detecting Tobacco- and Betel Quid-Induced Oral Squamous Cell Carcinoma: A Scoping Review of Empirical Evidence.Health science reports · 2025Review
- Pathobiological functions and clinical implications of annexin dysregulation in human cancers.Frontiers in cell and developmental biology · 2022Review
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5 authors.
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Abstract
objectiveTo identify potential proteomic salivary biomarker in tamol chewers and comparing it to healthy and Oral squamous cell carcinoma cases.
methodsA total of fifty unstimulated saliva samples were collected from the healthy volunteers, tamol chewers (without tobacco), and OSCC patients referred to North-East cancer Hospital, Jorabat, Assam, India. The 2-D gel analysis and western blotting were performed to analyze protein profiling.
resultsThe identified proteins were serum albumin, HSP (Heat shock protein) 27, gamma actin, SCC (Squamous cell carcinoma) 1, and Annexin A4. All the proteins were associated with OSCC development when their values were compared with those of normal healthy subjects. HSP27 was subjected to further validation using western blotting methods. An increase of 18.39% (Serum Albumin), 15.04% (gamma actin), 14.01% (SSC 1), and 20.22% (ANX4) were observed in Tamol chewers when compared with healthy control subjects.
conclusionOur results revealed that the identified salivary proteins have a positive association with OSCC development. Profiling of these saliva proteomes especially HSP (Heat shock protein) 27 as a potential biomarker for OSCC detection in the high-risk population is recommended.
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