A significant proportion (up to 62%) of oral squamous cell carcinomas (OSCCs) may arise from oral potential malignant lesions (OPMLs), such as leukoplakia. Patient outcomes may thus be improved through detection of lesions at a risk for malignant transformation, by identifying and categorizing genetic changes in sequential, progressive OPMLs. We conducted array comparative genomic hybridization analysis of 25 sequential, progressive OPMLs and same-site OSCCs from five patients.
View Article and Find Full Text PDFBackground: Oral Squamous Cell Carcinoma (OSCC) is a major cause of cancer death worldwide, which is mainly due to recurrence leading to treatment failure and patient death. Histological status of surgical margins is a currently available assessment for recurrence risk in OSCC; however histological status does not predict recurrence, even in patients with histologically negative margins. Therefore, molecular analysis of histologically normal resection margins and the corresponding OSCC may aid in identifying a gene signature predictive of recurrence.
View Article and Find Full Text PDFMicroRNAs (miRs) are non-coding RNA molecules involved in cancer initiation and progression. Deregulated miR expression has been implicated in cancer; however, there are no studies implicating an miR signature associated with progression in oral squamous cell carcinoma (OSCC). Although OSCC may develop from oral leukoplakia, clinical and histological assessments have limited prognostic value in predicting which leukoplakic lesions will progress.
View Article and Find Full Text PDFObjective: To investigate whether oral squamous cell carcinomas (OSCCs) from young (=40 years) and older (>/=60 years) patients have differential expression levels of GSTP1, FANCA, FANCC, FANCD2, and FANCG.
Design: Quantitative real-time reverse transcriptase-polymerase chain reaction and immunohistochemical analysis were used to assess gene and protein expression, respectively.
Setting: This study was performed in a research institute within a hospital setting.