Gene product immunophenotyping of neuroendocrine lung tumors: No linking evidence between carcinoids and small-cell lung carcinomas suggested by multivariate statistical analysis

Giuseppe Sampietro, Gorana Tomasic, Paola Collini, Elia Biganzoli, Patrizia Boracchi, Paolo Bidoli, Silvana Pilotti

Research output: Contribution to journalArticlepeer-review

Abstract

Fifty-three neuroendocrine lung tumors (24 carcinoids, one atypical carcinoid, five large-cell neuroendocrine carcinomas, and 23 small-cell lung carcinomas) were investigated for immunocytochemical expression of several gene products, i.e., p53, Rb, bcl-2, c-kit, mdm-2, cdk-4, p21 proteins, and proliferation index as assessed by MIB-1. The goal of the study was to explore the relationships between histotypes in light of their own gene product-based immunophenotypical profiles. To this aim we applied the multiple correspondence analysis, which is an exploratory statistical multivariate technique that converts a data matrix into a particular type of graphic display in which the rows and columns are depicted as points. Such statistical analysis displayed that some categories of the gene product-based immunophenotyping variables are grouped in the plot identifying three groups: the first group related to carcinoids, the second to small-cell carcinomas, and the third to large-cell neuroendocrine carcinomas. These data support the evidence that carcinoids and small-cell carcinomas are two distinct, apparently immunogenotypically unrelated entities among neuroendocrine lung tumors and that atypical carcinoids and large-cell neuroendocrine carcinomas seem not to represent intermediate steps between them.

Original languageEnglish
Pages (from-to)49-56
Number of pages8
JournalApplied Immunohistochemistry
Volume8
Issue number1
DOIs
Publication statusPublished - 2000

Keywords

  • Gene products
  • Immunocytochemistry
  • Multiple correspondence analysis
  • Neuroendocrine lung tumors
  • Statistical analysis

ASJC Scopus subject areas

  • Anatomy
  • Medical Laboratory Technology

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