Title |
Immunohistochemistry reliably detects ALK rearrangements in patients with advanced non-small-cell lung cancer
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Published in |
Virchows Archiv, August 2013
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DOI | 10.1007/s00428-013-1472-7 |
Pubmed ID | |
Authors |
Xiao-Hong Han, Ning-Ning Zhang, Li Ma, Dong-Mei Lin, Xue-Zhi Hao, Yu-Tao Liu, Lin Wang, Peng Liu, Zheng Yuan, Dan Li, Hua Lin, Yan Sun, Yuan-Kai Shi |
Abstract |
Accurate determination of anaplastic lymphoma kinase (ALK) rearrangements is critical in identifying ALK-positive patients for targeted therapy in non-small-cell lung cancer (NSCLC). Fluorescence in situ hybridization (FISH) is the current standard method to detect ALK rearrangements but is technically challenging and costly. We compared optimised immunohistochemistry (IHC), quantitative real-time polymerase chain reaction (qRT-PCR) and fluorescence in situ hybridization techniques in this study of 139 samples of advanced NSCLC with non-squamous histology. ALK alteration was found in 32.6 % (43/132) of patients by FISH, 32.9 % (45/137) of patients by IHC and 27.9 % (34/122) of samples by qRT-PCR (concordance rate of 96.9 % between FISH and IHC, 95.7 % between FISH and qRT-PCR, P < 0.001). IHC sensitivity and specificity were 97.7 % and 96.6 %, respectively, while the sensitivity and specificity of qRT-PCR were 89.2 % and 98.7 %, respectively. ALK rearrangements were more common in young patients (P = 0.007), non-smokers or light smokers (P = 0.008) and adenocarcinoma histology, especially with signet ring cell features (P < 0.001). Optimised IHC could be a useful method in screening ALK rearrangements in clinical practice with qRT-PCR as an alternative diagnostic tool to clarify specific ALK variants. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 1 | 4% |
Czechia | 1 | 4% |
Unknown | 25 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 19% |
Student > Ph. D. Student | 4 | 15% |
Student > Master | 3 | 11% |
Other | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Other | 5 | 19% |
Unknown | 6 | 22% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 13 | 48% |
Agricultural and Biological Sciences | 3 | 11% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Psychology | 1 | 4% |
Engineering | 1 | 4% |
Other | 0 | 0% |
Unknown | 8 | 30% |