Triple marker composed of p16, CD56, and TTF1 shows higher sensitivity than INSM1 for diagnosis of pulmonary small cell carcinoma: proposal for a rational immunohistochemical algorithm for diagnosis of small cell carcinoma in small biopsy and cytology specimens.


Journal

Human pathology
ISSN: 1532-8392
Titre abrégé: Hum Pathol
Pays: United States
ID NLM: 9421547

Informations de publication

Date de publication:
03 2019
Historique:
received: 07 08 2018
revised: 12 10 2018
accepted: 18 10 2018
pubmed: 6 11 2018
medline: 26 11 2019
entrez: 3 11 2018
Statut: ppublish

Résumé

Pulmonary small cell carcinoma (SCLC) can be usually diagnosed based on the morphological evaluation of routine histological or cytological preparations. However, immunohistochemistry may be also necessary in problematic cases. Insulinoma-associated 1 (INSM1) has recently been reported as a highly sensitive and specific marker that displays positivity in ~90%-100% of poorly differentiated pulmonary neuroendocrine tumors. We compared diagnostic performance of INSM1 and previously reported composite marker CD56 + p16 + thyroid transcription factor-1 (TTF1) in the diagnosis of SCLC in small biopsy specimens and cytoblocks. The composite marker CD56 + p16 + TTF1 correctly classified 100% of SCLC cases, and its sensitivity was significantly higher than the sensitivity of INSM1. Among 100 SCLC cases, CD56, TTF1, and p16 each individually classified more specimens correctly than INSM1 (CD56: 84%, TTF1: 89%, p16: 95%, INSM1: 81%); the difference was statistically significant only for p16. INSM1 showed the lowest classification agreement between paired biopsy and cytoblock specimens (κ = 0.182), whereas CD56 and p16 displayed perfect agreement (κ = 1) and TTF1 showed moderate agreement (κ = 0.4). Although INSM1 is reportedly the most specific marker of SCLC, its sensitivity is not superior to p16 or composite marker CD56 + TTF1 + p16. Based on this study, we propose the following algorithm, which, in the appropriate clinical and histological context, may be useful in establishing the correct diagnosis of SCLC: First, INSM1 detection is performed, and if the result is negative, CD56 is added, followed successively by p16 and TTF1 if all previously applied markers are negative. This approach should detect most, if not all, SCLC cases, while successively trading specificity for sensitivity.

Identifiants

pubmed: 30385371
pii: S0046-8177(18)30413-1
doi: 10.1016/j.humpath.2018.10.016
pii:
doi:

Substances chimiques

Biomarkers, Tumor 0
CD56 Antigen 0
CDKN2A protein, human 0
Cyclin-Dependent Kinase Inhibitor p16 0
DNA-Binding Proteins 0
Repressor Proteins 0
TTF1 protein, human 0
Transcription Factors 0
INSM1 protein, human 147955-03-1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

58-64

Informations de copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Auteurs

Marián Švajdler (M)

Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic; Bioptická laboratoř s.r.o., 326 00 Pilsen, Czech Republic. Electronic address: svajdler@yahoo.com.

Roman Mezencev (R)

School of Biological Sciences, Georgia Institute of Technology, North Ave, Atlanta, GA 30332, USA.

Bohuslava Šašková (B)

Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic; Bioptická laboratoř s.r.o., 326 00 Pilsen, Czech Republic.

Ondrej Ondič (O)

Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic; Bioptická laboratoř s.r.o., 326 00 Pilsen, Czech Republic.

Petr Mukenšnábl (P)

Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic.

Michal Michal (M)

Šikl's Department of Pathology, Charles University in Prague, The Faculty of Medicine and Faculty Hospital in Pilsen, 304 60 Pilsen, Czech Republic; Bioptická laboratoř s.r.o., 326 00 Pilsen, Czech Republic.

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Classifications MeSH