Literature DB >> 20414934

Correlation between different p53 expression patterns and chromosome 17 imbalances in pancreatic ductal adenocarcinoma based on tissue microarray analysis.

E Tsiambas1, C Kravvaritis, D Tsounis, N S Salemis, A Niotis, T H Niotis, D N Rigopoulos, A Karameris, A E Athanasiou, E Patsouris, P Karakitsos.   

Abstract

PURPOSE: p53 (gene location: 17p13.1) overexpression is a common event in pancreatic ductal adenocarcinoma (PDAC), a highly aggressive malignant neoplasm. Although specific mechanisms of p53 gene deregulation have been identified, correlation between p53 expression and chromosome 17 gross numerical imbalances (aneuploidy) are under investigation.
METHODS: Using tissue microarray technology, 60 paraffin-embedded tissue samples of histologically confirmed primary PDACs were cored and re-embedded to the final recipient block. Immunohistochemistry (IHC) for p53 expression and chromogenic in situ hybridization (CISH) for chromosome 17 numerical alterations were performed. Digital image analysis was applied for p53 expression levels evaluation (Nuclear Labelling Index-NLIs).
RESULTS: p53 overexpression was detected in 38/60 (63.3%), whereas chromosome 17 aneuploidy was observed in 21/60 (35%) cases, respectively. Polysomy was identified in 19 cases, whereas monosomy in 2 of them. p53 overall expression was strongly correlated to the stage of the examined tumors (p=0.02). Chromosome aneuploidy was not associated to tumors' stage and grade (p=0.42, p=0.71, respectively). Although overall chromosome 17 centromeric imbalances were not correlated with p53 overexpression (p=0.32), both cases with monosomy demonstrated high expression levels.
CONCLUSION: p53 overexpression combined with chromosome 17 numerical imbalances characterizes a significant proportion of PDACs. Because commercially available antip53 antibodies detect mutant and also wild-type protein expression levels, chromosome 17 monosomy maybe is a gross genetic criterion for discriminating them due to point mutation that frequently affects the remaining allele.

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Year:  2010        PMID: 20414934

Source DB:  PubMed          Journal:  J BUON        ISSN: 1107-0625            Impact factor:   2.533


  3 in total

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Authors:  Yanli Luo; Ling Tian; Ye Feng; Miaoying Yi; Xiafang Chen; Qian Huang
Journal:  Pathol Oncol Res       Date:  2012-07-11       Impact factor: 3.201

3.  COST Action "EuroTelepath": digital pathology integration in electronic health record, including primary care centres.

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  3 in total

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