Literature DB >> 20693974

Multidisciplinary approach in diagnosis of lung carcinoma.

M Kontic1, J Stojsic, V Kacar-Kukric, B Jekic, V Bunjevacki.   

Abstract

AIM: To employ multidisciplinary approach in order to make the correct diagnosis of lung carcinoma clinically and morphologically mimicking lymphoma.
METHODS: Immunostaining was performed by incubating tissue sections with appropriate antibodies, using the streptavidin-biotin technique. Antigen-antibody complexes were visualized with 3-amino-9-ethylcarbasole or diaminobenzidine hydrochloride substrate solution. We have investigated p53 gene mutations by polymerase chain reaction and DNA sequence analysis of exons 5, 6, 7, 8 and 9.
RESULTS: Tumor cells expressed cytokeratin AE1/AE3, epithelial membrane antigen (EMA) and thyroid transcription factor-1 (TTF-1) without thyreoglobulin positivity. Further, tumor cells expressed neuroendocrine mar kers: synaptophysin, chromogranin A, neuron-specific enolase (NSE), CD56/NCAM, CD57/Leu-7 and protein gene product 9.5 (PGP9.5). P53 was also expressed. Diffuse large cell lymphomas of B and T cell origin were excluded. Direct sequencing analysis of exon 6 of the p53 gene revealed ATC to ACC mutation at codon 195. Final diagnosis of large cell lung neuroendocrine carcinoma (LCNEC) was established.
CONCLUSIONS: Morphological pattern of tumor complied with large cell non-Hodgkin's lymphoma, but large cell lung carcinoma with neuroendocrine differentiation was proved immunohistochemically and confirmed by genetic analysis of p53 mutations in tumor tissue sample. Multidisciplinary approach in diagnosis of lung carcinoma is useful for its final diagnosis.

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Year:  2010        PMID: 20693974

Source DB:  PubMed          Journal:  Exp Oncol        ISSN: 1812-9269


  2 in total

1.  Could spindle cell lung carcinoma be considered and treated as sarcoma, according to its clinical course, morphology, immunophenotype and genetic finding?

Authors:  Milica Kontic; Jelena Stojsic; Ruza Stevic; Vera Bunjevacki; Biljana Jekić; Valerija Dobricic
Journal:  Pathol Oncol Res       Date:  2012-08-26       Impact factor: 3.201

2.  Characterization of a genetic mouse model of lung cancer: a promise to identify Non-Small Cell Lung Cancer therapeutic targets and biomarkers.

Authors:  Federica Riccardo; Maddalena Arigoni; Genny Buson; Elisa Zago; Manuela Iezzi; Dario Longo; Matteo Carrara; Alessandra Fiore; Simona Nuzzo; Silvio Bicciato; Patrizia Nanni; Lorena Landuzzi; Federica Cavallo; Raffaele Calogero; Elena Quaglino
Journal:  BMC Genomics       Date:  2014-05-06       Impact factor: 3.969

  2 in total

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