Tissue microarrays are reliable tools for the clinicopathological characterization of lung cancer tissue

Anticancer Res. 2009 Jan;29(1):201-9.

Abstract

Background: The advantage of tissue microarray (TMA) is its ability to efficiently analyze large numbers of tissue specimens in a methodologically uniform way. The reliability of TMAs, especially with regard to clinicopathological characterizations, when compared to conventional immunohistochemistry (IHC) was evaluated.

Materials and methods: Seventy-two embedded tissue sections from lung cancer specimens were stained with monoclonal antibodies against the tumor-associated markers TA-MUC1 and Lewis Y. Three representative cores of every tumor were embedded in a paraffin array multiblock. The IHC was evaluated by the immunoreactive score (IRS).

Results: The data for the TMA IHC and the conventional IHC were concordant (kappa > or = 80%) for both markers. Likewise, discordance (McNemar's test) was low, and sensitivity and specificity were above 80% for both markers. In the samples with high positive expression, the concordance increased (kappa > or = 90%), discordance disappeared (McNemar p = 1.0), and sensitivity and specificity increased above 90% for both markers. Using Cox regression models, all the clinicopathological dependencies were equivalent for both techniques and both markers.

Conclusion: Immunohistochemistry with tissue microarrays is valid and provides results equivalent to conventional immunohistochemistry with respect to expression patterns and clinicopathological characterizations.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Antibodies, Monoclonal / chemistry
  • Carcinoma, Non-Small-Cell Lung / pathology
  • Carcinoma, Small Cell / pathology
  • Female
  • Humans
  • Immunohistochemistry
  • Lewis Blood Group Antigens / analysis
  • Lung Neoplasms / pathology*
  • Male
  • Middle Aged
  • Mucin-1 / analysis
  • Prognosis
  • Staining and Labeling / methods
  • Tissue Array Analysis / methods*

Substances

  • Antibodies, Monoclonal
  • Lewis Blood Group Antigens
  • Lewis Y antigen
  • MUC1 protein, human
  • Mucin-1