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1.
J Oral Maxillofac Pathol ; 19(2): 267, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26604512

RESUMO

Oral squamous cell carcinoma (OSCC) is the most common epithelial malignant neoplasm affecting the oral cavity; early detection is an important criterion for achieving high cure rate. Occasionally, it may be misdiagnosed because of its variable and innocuous clinical appearance. Carcinomas of the gingiva are a unique subset of OSCC, constituting approximately 10% of OSCCs and can mimic a multitude of oral lesions especially those of inflammatory origin with benign features, often leading to delay in the diagnosis and hence delayed treatment. This article reports a rare case of gingival OSCC in a 62-year-old female patient mimicking an inflammatory gingival mass.

2.
Contemp Clin Dent ; 6(Suppl 1): S227-34, 2015 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-26604578

RESUMO

BACKGROUND: Exfoliated oral cancer cells in saliva samples from patients with oral squamous cell carcinoma (OSCC) can be used to determine the incidence and type of mutations of the p53 tumor suppressor gene. The purpose of this study was to identify C-deletion mutation in exon 4 codon 63 of p53 gene in the saliva of OSCC patients by polymerase chain reaction (PCR). MATERIALS AND METHODS: Saliva samples of 20 newly histopathologically diagnosed OSCC patients and 5 healthy volunteers were subjected to isolation of the total genomic DNA and PCR amplification for C-deletion on exon 4 of p53 gene. The resulting products were resolved by agarose gel electrophoresis, viewed and photographed on ultraviolet-transilluminator. RESULTS: The relationship between the frequencies of genetic alterations was assessed by Chi-square test. Differences with values of P < 0.05 were statistically significant. CONCLUSION: The study concluded a 100% presence of C-deletion mutation in exon 4 codon 63 of p53 in the saliva of OSCC patients. This study suggests that detection of mutation in exon 4 codon 63 of p53 by PCR is a fast, reliable, accurate, and sensitive molecular method for OSCC diagnosis.

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