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A rapid, early detection of oral squamous cell carcinoma: Real time PCR based detection of tetranectin.

Teena Sajan | Smitha Murthy | Rijesh Krishnankutty | Joyeeta Mitra
Molecular biology research communications | 2019

The current study is focused on determining the mRNA expression levels of tetranectin, to detect oral squamous cell carcinoma (OSCC) and thus aiding in its classification at an early stage. RNA was isolated and cDNA synthesis was performed from the saliva samples of the patients and healthy individuals. A semiquantitative PCR based analysis was performed prior to quantitative and expression based analysis using Real time PCR. The study showed that the mRNA levels are much lesser in patients suffering from dysplastic and metastatic tumors as compared to healthy individuals (P≤0.05). This study can be a breakthrough in medical and dentistry studies. One of the most common malignant carcinomas, OSCC is a type of cancer of the mouth. Though surgical methods have been quite effective in delaying the metastasis, the detection methods using histology parameters are not very efficient and the disease is diagnosed generally in the last stages of the cancer. Tetranectin is a protein biomarker which has been used for detection of several cancers including oral cancer where the protein quantity is calculated.

Pubmed ID: 31528642

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RRID:SCR_002865

Software package used for interactive, or batched, statistical analysis in social science, health sciences and marketing. Software platform offers advanced statistical analysis, a library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and deployment into applications.Versions that were produced by SPSS Inc. before the IBM acquisition (Versions 18 and earlier) would be given origin or publisher of SPSS Inc. in Chicago.

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