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

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...

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Bibliographic Details
Published in:International journal of cancer 2005-07, Vol.115 (5), p.717-723
Main Authors: Muzio, Lorenzo Lo, D'Angelo, Matteo, Procaccini, Maurizio, Bambini, Fabrizio, Calvino, Francesco, Florena, Ada Maria, Franco, Vito, Giovannelli, Lucia, Ammatuna, Pietro, Campisi, Giuseppina
Format: Article
Language:English
Subjects:
Adult
Age Factors
Aged
Aged, 80 and over
Biological and medical sciences
carcinogenesis
Carcinoma, Squamous Cell - genetics
Carcinoma, Squamous Cell - physiopathology
Cell Cycle - genetics
Cell Cycle - physiology
Cell Transformation, Neoplastic
DNA, Viral - analysis
Female
Fuzzy Logic
fuzzy neural network
Gene Expression Profiling
Human papillomavirus
Humans
Immunohistochemistry
Inhibitor of Apoptosis Proteins
Male
Medical sciences
Microtubule-Associated Proteins - biosynthesis
Middle Aged
Mouth Neoplasms - genetics
Mouth Neoplasms - physiopathology
Neoplasm Proteins
Neural Networks (Computer)
oral squamous cell carcinoma
Otorhinolaryngology. Stomatology
Papillomaviridae - genetics
Papillomaviridae - pathogenicity
Papillomavirus Infections - complications
Risk Factors
Sex Factors
Smoking - adverse effects
survivin
Tumors
Upper respiratory tract, upper alimentary tract, paranasal sinuses, salivary glands: diseases, semeiology
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Summary: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 %) without any significant higher risk of HPV infection with respect to the sociodemographic variables considered (p > 0.2), apart from tobacco smoking, reported in 44.4% of OSCC HPV‐positive vs. 100% HPV‐negative subjects (p = 0.029). Regarding cell cycle markers, TS and FNN revealed that survivin was expressed significantly more in HPV‐negative than in HPV‐positive OSCC [root mean‐square error (RMSE) = 5.89 × 10–6, % predicted 100.0]; furthermore, smoking played a protective role for survivin expression in HPV‐positive cases (OR = 0.019, 95%CI 0.001–0.723, RMSE = 0.20, % of prevision 94.4). FNN, although on a small sample size, allowed us to confirm data by TS and to hypothesize a different cell cycle pattern for HPV‐positive vs. HPV‐negative OSCC. In the latter cases, the relevance of apoptotic vs. proliferative markers suggested that they may be related to the different supposed outcome of HPV‐negative OSCC and that HPV may have a protective role in the expression level of survivin, especially in tobacco smokers. © 2005 Wiley‐Liss, Inc.
ISSN:0020-7136
1097-0215
DOI:10.1002/ijc.20940