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      Correlation of p53 oncoprotein expression with chemotherapy response in small cell lung carcinomas.

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      Journal: Lung cancer (Amsterdam, Netherlands)
      Keywords: Aged, Antineoplastic Combined Chemotherapy Protocols, therapeutic use, Biopsy, Carcinoma, Small Cell, drug therapy, genetics, pathology, Disease Progression, Female, Gene Expression Regulation, Neoplastic, Humans, Immunohistochemistry, Lung Neoplasms, Male, Middle Aged, Prognosis, Survival Analysis, Tumor Markers, Biological, analysis, biosynthesis, Tumor Suppressor Protein p53

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          Abstract

          p53 oncoprotein expression was investigated in small cell lung carcinomas (SCLC) using immunohistochemical staining with antibodies against p53. A total of 50 pre-treatment biopsies were examined. We analyzed the relationship between p53 expression and these patients' relevant clinical characteristics, response to chemotherapy, time to progression, and overall survival. We found p53 overexpression in 46% of the samples but no association with clinical data or overall survival. Our results show a strong correlation of p53 staining with chemotherapy response. Multivariate analysis selected p53 as an independent predictive factor of chemotherapy response.

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          PubMed ID:: 11557115

          ScienceOpen disciplines: Chemistry
          Keywords: Aged,Antineoplastic Combined Chemotherapy Protocols,therapeutic use,Biopsy,Carcinoma, Small Cell,drug therapy,genetics,pathology,Disease Progression,Female,Gene Expression Regulation, Neoplastic,Humans,Immunohistochemistry,Lung Neoplasms,Male,Middle Aged,Prognosis,Survival Analysis,Tumor Markers, Biological,analysis,biosynthesis,Tumor Suppressor Protein p53
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          ScienceOpen disciplines: Chemistry
          Keywords: Aged, Antineoplastic Combined Chemotherapy Protocols, therapeutic use, Biopsy, Carcinoma, Small Cell, drug therapy, genetics, pathology, Disease Progression, Female, Gene Expression Regulation, Neoplastic, Humans, Immunohistochemistry, Lung Neoplasms, Male, Middle Aged, Prognosis, Survival Analysis, Tumor Markers, Biological, analysis, biosynthesis, Tumor Suppressor Protein p53

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