A comprehensive immunohistochemistry algorithm for the histological subtyping of small biopsies obtained from non-small cell lung cancers

Histopathology. 2014 Dec;65(6):868-78. doi: 10.1111/his.12507. Epub 2014 Oct 6.

Abstract

Aims: Need for accurate histologic subtyping of non-small cell lung carcinomas (NSCLCs) is growing. IHC patterns may be ambiguous in some cases, rendering it difficult to determine subtypes.

Methods and results: Tissue microarrays composed of 184 resected NSCLCs were stained for TTF-1, Napsin A, CK7, p40, p63, CK5/6, and mucicarmine. TTF-1 and Napsin A were chosen as the most accurate adenocarcinoma (ADC) marker (ACM), and p40 as squamous cell carcinoma (SCC) marker (SCM). We then prospectively performed IHC using these markers (TTF-1, Napsin A, and p40) in a cohort of small NSCLC biopsies (n = 186) with ambiguous morphology. Of these biopsies, 82.8% (154/186) were classifiable into either ADC or SCC by applying '3-marker IHC panel'. Additional CK7, p63, and CK5/6 were applied in 30 biopsies with equivocal IHC patterns, including 18 ACM-/SCM- (double-negative) and 12 ACM+/SCM+ (double-positive) cases. Decision tree and support vector machine models revealed that TTF-1 was a critical single marker for ADC in double-positive cases (91.7% accuracy), whereas p63 and/or CK5/6 helped to subtype double-negative cases (72.2% accuracy).

Conclusions: We propose a novel comprehensive algorithm for subtyping NSCLCs using a 3-marker IHC panel and additional p63 and CK5/6 that would be useful for subtyping small NSCLC biopsies.

Keywords: Napsin A and p40 panel; TTF-1; algorithm; biopsy specimens; histologic subtyping; immunohistochemistry; non-small cell carcinoma.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Biomarkers, Tumor / analysis*
  • Biopsy
  • Carcinoma, Non-Small-Cell Lung / classification*
  • Carcinoma, Non-Small-Cell Lung / pathology*
  • Decision Trees
  • Humans
  • Immunohistochemistry
  • Lung Neoplasms / classification*
  • Lung Neoplasms / pathology*
  • Sensitivity and Specificity
  • Support Vector Machine
  • Tissue Array Analysis

Substances

  • Biomarkers, Tumor