Search

Your search keyword '"Stabellini G."' showing total 11 results
Start Over Author "Stabellini G." Publisher elsevier bv
11 results on '"Stabellini G."'

4. Chick embryo back skin organ and fibroblast cultures. Extracellular matrix changes induced by dialysate fluid and uraemic toxins in relation to proliferation and differentiation processes

Author

Stabellini, G., primary, Calastrini, C., additional, Pezzetti, F., additional, M., De Mattei, additional, Dellavia, C., additional, Moscheni, C., additional, Pellati, A., additional, L., Bedani P., additional, Vertemati, M., additional, and Bodo-Lumare, M., additional

Published
2003
Full Text
View/download PDF

11. Survivin as prognostic factor in squamous cell carcinoma of the oral cavity

Author

Andrea Santarelli, Gregorio Laino, Furio Pezzetti, Pantaleo Bufo, Alfredo De Lillo, Giordano Stabellini, Antonio Farina, Lorenzo Lo Muzio, Francesco Carinci, Corrado Rubini, Giuseppe Pannone, Lo Muzio L., Farina A., Rubini C., Pezzetti F., Stabellini G., Laino G., Santarelli A., Pannone G., Bufo P., de Lillo A., and Carinci F.

Subjects
Adult, Male, Oncology, Cancer Research, medicine.medical_specialty, Adolescent, Survival, Survivin, COX REGRESSION ANALYSIS, Inhibitor of Apoptosis Proteins, Internal medicine, medicine, Humans, IMMUNOHISTOCHEMISTRY, Survival rate, Lymph node, Survival analysis, Aged, Cancer, Aged, 80 and over, Mouth neoplasm, Proportional hazards model, business.industry, Gene Expression Profiling, Middle Aged, Prognosis, medicine.disease, Survival Analysis, Cox analysis, Oral squamous cell carcinoma, Neoplasm Proteins, Log-rank test, Phenotype, medicine.anatomical_structure, SQUAMOUS CELL CARCINOMA, Carcinoma, Squamous Cell, Female, Mouth Neoplasms, Neoplasm Recurrence, Local, business, Microtubule-Associated Proteins
Abstract

A series of 78 cases of oral squamous cell carcinoma was analysed by immunohistochemistry for expression of survivin, a recent apoptosis inhibitor. All cases were positive for survivin expression and were divided into two groups using a system of scores. Disease-specific survival curves were calculated according to Kaplan-Meier algorithm, and log rank test was used to compare survival curves. Then, Cox regression analysis was applied to determine the single contribution of covariates on survival rate. So, Cox analysis allowed us to detect the variables most associated to survival. Among the studied variables, such as grade of differentiation, tumor size, stage, recurrence of disease, lymph node presence, only stage and recurrence of disease were predictors of outcome; however, when we analyzed the survival without considering recurrence (that was the stronger predictor of death), a stepwise Cox analysis showed that Survivin, stage and grade of differentiation are significantly associated to survival, with a higher value for Survivin. These data suggest that survivin expression may identify cases of oral squamous cell carcinoma with more aggressive and invasive phenotype and, therefore, could influence the decision for the therapy at the time of diagnosis.

Published
2005
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results