Diamond: immunohistochemistry versus sequencing in EGFR analysis of lung adenocarcinomas.
J Clin Pathol
; 69(5): 440-7, 2016 May.
Article
en En
| MEDLINE
| ID: mdl-26553934
ABSTRACT
AIMS:
Identification of epidermal growth factor receptor (EGFR) mutations in lung adenocarcinomas is the single most important predictor of clinical response and outcome using EGFR tyrosine kinase inhibitors (TKIs). EGFR E746-A750del and L858R mutations are the most common gene alterations, also predicting the best clinical response to TKIs. We evaluated the accuracy of EGFR mutation-specific antibodies in a large cohort of lung adenocarcinomas, with different molecular settings and types of tissue samples.METHODS:
300 lung adenocarcinomas diagnosed on cytology (48 cell blocks), biopsy (157 cases) and surgical resections (95 cases) were selected. All cases were investigated for EGFR by sequencing and two mutation-specific antibodies (clone 6B6 for E746-A750del; clone 43B2 for L858R) were tested using an automated immunostainer. Discordant results were investigated by next-generation sequencing (NGS).RESULTS:
Overall sensitivity and specificity of mutant-specific antibodies were 58.6% and 98.0%, respectively, and they increased up to 84% and 100% if only tumours harbouring E746-A750del were considered. In 13 discordant cases, NGS confirmed immunohistochemistry results in eight samples.CONCLUSIONS:
The EGFR mutation-specific antibodies have a fair/good sensitivity and good/high specificity in identifying classic mutations, but they cannot replace molecular tests. The antibodies work equally well on biopsies and cell blocks, possibly permitting a rapid screening in cases with poor material.Palabras clave
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Análisis Mutacional de ADN
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Inmunohistoquímica
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Adenocarcinoma
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Secuenciación de Nucleótidos de Alto Rendimiento
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Receptores ErbB
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Neoplasias Pulmonares
Tipo de estudio:
Diagnostic_studies
/
Prognostic_studies
Límite:
Female
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Humans
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Male
Idioma:
En
Revista:
J Clin Pathol
Año:
2016
Tipo del documento:
Article
País de afiliación:
Italia