0000000000599471

AUTHOR

Bambini F

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Expression of cell cycle markers and human papillomavirus infection in oral squamous cell carcinoma: use of fuzzy neural networks.

2005

Our aim was to evaluate in oral squamous cell carcinoma (OSCC) the relationship between some cell cycle markers and HPV infection, conditionally to age, gender and certain habits of patients, and to assess the ability of fuzzy neural networks (FNNs) in building up an adequate predictive model based on logic inference rules. Eighteen cases of OSCC were examined by immunohistochemistry for MIB-1, PCNA and survivin expression; presence of HPV DNA was investigated in exfoliated oral mucosa cells by nested PCR (nPCR, MY09-MY11/GP5-GP6), and HPV genotype was determined by direct DNA sequencing. Data were analyzed by traditional statistics (TS) and FNNs. HPV DNA was found in 9/18 OSCCs (50.0 %) wi…

OncologyMaleCancer ResearchSurvivinmedicine.disease_causeInhibitor of Apoptosis ProteinsRisk FactorsOral mucosaPapillomaviridaeAged 80 and overCell CycleSmokingHPV infectionAge FactorsAnatomical pathologyCell cycleMiddle AgedImmunohistochemistryNeoplasm Proteinsoral squamous cell carcinomamedicine.anatomical_structureCell Transformation NeoplasticOncologyCarcinoma Squamous CellImmunohistochemistryFemaleMouth NeoplasmscarcinogenesisMicrotubule-Associated ProteinsAdultmedicine.medical_specialtyBiologySex FactorsFuzzy LogicInternal medicineSurvivinmedicineHumanshuman papillomaviruAgedfuzzy neural networkGene Expression ProfilingPapillomavirus Infectionsmedicine.diseaseProliferating cell nuclear antigenstomatognathic diseasesImmunologyDNA Viralbiology.proteinNeural Networks ComputerCarcinogenesisInternational journal of cancer
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