| Literature DB >> 25248157 |
Esther Conde1, Ana Suárez-Gauthier1, Amparo Benito2, Pilar Garrido2, Rosario García-Campelo3, Michele Biscuola4, Luis Paz-Ares4, David Hardisson5, Javier de Castro5, M Carmen Camacho6, Delvys Rodriguez-Abreu6, Ihab Abdulkader7, Josep Ramirez8, Noemí Reguart8, Marta Salido9, Lara Pijuán9, Edurne Arriola9, Julián Sanz10, Victoria Folgueras11, Noemí Villanueva11, Javier Gómez-Román12, Manuel Hidalgo13, Fernando López-Ríos1.
Abstract
BACKGROUND: Based on the excellent results of the clinical trials with ALK-inhibitors, the importance of accurately identifying ALK positive lung cancer has never been greater. However, there are increasing number of recent publications addressing discordances between FISH and IHC. The controversy is further fuelled by the different regulatory approvals. This situation prompted us to investigate two ALK IHC antibodies (using a novel ultrasensitive detection-amplification kit) and an automated ALK FISH scanning system (FDA-cleared) in a series of non-small cell lung cancer tumor samples.Entities:
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Year: 2014 PMID: 25248157 PMCID: PMC4172507 DOI: 10.1371/journal.pone.0107200
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Concordance between ALK IHC and ALK FISH.
| ALK IHC |
| Sensitivity (%) (95% CI) | Specificity (%) (95% CI) | PPV (%) (95% CI) | NPV (%) (95% CI) | Accuracy (%) (95% CI) | |||
| FISH+ | FISH− | Total (%) | |||||||
|
| |||||||||
| IHC+ | 3+ | 46 | 0 | 46 (44.7) | 98 (95–100) | 100 (100–100) | 100 (100–100) | 98 (96–100) | 99 (97–100) |
| 2+ | 0 | 0 | |||||||
| IHC− | 1+ | 0 | 8 | 57 (55.3) | |||||
| 0 | 1 | 48 | |||||||
| Total (%) | 47 (45.6) | 56 (54.4) | 103 (100) | ||||||
|
| |||||||||
| IHC+ | 3+ | 41 | 0 | 46 (44.7) | 98 (95–100) | 100 (100–100) | 100 (100–100) | 98 (96–100) | 99 (97–100) |
| 2+ | 5 | 0 | |||||||
| IHC− | 1+ | 0 | 0 | 57 (55.3) | |||||
| 0 | 1 | 56 | |||||||
| Total (%) | 47 (45.6) | 56 (54.4) | 103 (100) | ||||||
IHC, immunohistochemistry; FISH, fluorescence in situ hybridization; CI, confidence interval; PPV, positive predictive value; NPV, negative predictive value.
Figure 1Study design and specimen selection.
Figure 2Immunostaining pattern of ALK in NSCLC using Ventana anti-ALK (D5F3) and Novocastra (5A4) antibodies.
ALK IHC reveals variable levels of protein expression: from absent (0) to weak/faint cytoplasmic staining (1+) in negative cases and from moderate (2+) to strong (3+) granular cytoplasmic immunstaining in positive tumors. In ALK IHC-negative cases, the immunoreactivity was always 0 by Novocastra (5A4) IHC, whereas ranged from 0 to 1+ by Ventana antibody. However, in ALK IHC-positive cases, protein expression was always 3+ by Ventana antibody, whereas it ranged from 2+ to 3+ by Novocastra (5A4) IHC. Original magnification: 400×.
Figure 3Box plots for number of ALK positive cells by FISH automatized technique versus intensity of the ALK IHC staining.
With the Ventana anti-ALK antibody (A) and with Novocastra (5A4) antibody (B). Kruskal-Wallis test was performed. The comparisons between the categories in each antibody were statistically significant (p<0,001).