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Ma H, Yao WX, Huang L, Jin SH, Liu DH, Liu Y, Tian X, Tian JH, Zhou JG. Efficacy of D5F3 IHC for detecting ALK gene rearrangement in NSCLC patients: a systematic review and meta-analysis. Oncotarget 2018; 7:70128-70142. [PMID: 27602773 PMCID: PMC5342540 DOI: 10.18632/oncotarget.11806] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2016] [Accepted: 08/13/2016] [Indexed: 12/02/2022] Open
Abstract
We conducted a pooled analysis comparing the efficacy of an immunohistochemistry (IHC) assay using the D5F3 antibody with that of fluorescence in situ hybridization (FISH) for detecting ALK gene rearrangement in NSCLC patients. A total of 32 studies involving 5805 samples were included in this review. Pooled sensitivity for D5F3 IHC was 0.97 (95%CI: 0.93-0.98), specificity was 0.99 (95%CI: 0.98-1.00), PLR was 119.20 (95%CI: 57.79-245.89), NLR was 0.03 (95%CI: 0.02-0.07), DOR was 3526.66 (95%CI: 1344.71-9249.03), and AUROC was 1.00 (95%CI: 0.99-1.00). Meta-regression revealed that specimen type was a source of heterogeneity for specificity, and specimen type and FISH signal distance were sources of heterogeneity in the joint model. Subgroup analysis revealed that sensitivity and specificity were higher when the FISH signal distance standard was ≥ 2 than when it was ≥ 1. Sensitivity was higher for tumor specimens than for cell specimens; specificity was higher for cell specimens than for tumor specimens. In conclusion, the D5F3 IHC assay was nearly as effective as FISH for detection of ALK gene rearrangement in NSCLC patients.
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Affiliation(s)
- Hu Ma
- Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Wen-Xiu Yao
- Department of Oncology, Affiliated Cancer Hospital of Medical School, University of Electronic Science and Technology of China, Sichuan Cancer Hospital and Institute & Cancer, The Second People's Hospital of Sichuan Province, Chengdu, 610000, China
| | - Lang Huang
- Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Su-Han Jin
- Affiliated Stemmatological Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Da-Hai Liu
- Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
| | - Yuan Liu
- Department of Pharmacology and Key Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi 563000, China
| | - Xu Tian
- Chongqing Cancer Hospital and Institute, Chongqing, 40030, China
| | - Jin-Hui Tian
- Evidence-Based Medicine Center of Lanzhou University, Lanzhou, 730000, China
| | - Jian-Guo Zhou
- Department of Oncology, Affiliated Hospital of Zunyi Medical University, Zunyi 563000, China
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Dama E, Tillhon M, Bertalot G, de Santis F, Troglio F, Pessina S, Passaro A, Pece S, de Marinis F, Dell'Orto P, Viale G, Spaggiari L, Di Fiore PP, Bianchi F, Barberis M, Vecchi M. Sensitive and affordable diagnostic assay for the quantitative detection of anaplastic lymphoma kinase (ALK) alterations in patients with non-small cell lung cancer. Oncotarget 2018; 7:37160-37176. [PMID: 27206799 PMCID: PMC5095066 DOI: 10.18632/oncotarget.9471] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Accepted: 04/25/2016] [Indexed: 11/25/2022] Open
Abstract
Accurate detection of altered anaplastic lymphoma kinase (ALK) expression is critical for the selection of lung cancer patients eligible for ALK-targeted therapies. To overcome intrinsic limitations and discrepancies of currently available companion diagnostics for ALK, we developed a simple, affordable and objective PCR-based predictive model for the quantitative measurement of any ALK fusion as well as wild-type ALK upregulation. This method, optimized for low-quantity/-quality RNA from FFPE samples, combines cDNA pre-amplification with ad hoc generated calibration curves. All the models we derived yielded concordant predictions when applied to a cohort of 51 lung tumors, and correctly identified all 17 ALK FISH-positive and 33 of the 34 ALK FISH-negative samples. The one discrepant case was confirmed as positive by IHC, thus raising the accuracy of our test to 100%. Importantly, our method was accurate when using low amounts of input RNA (10 ng), also in FFPE samples with limited tumor cellularity (5-10%) and in FFPE cytology specimens. Thus, our test is an easily implementable diagnostic tool for the rapid, efficacious and cost-effective screening of ALK status in patients with lung cancer.
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Affiliation(s)
- Elisa Dama
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy.,Division of Epidemiology and Biostatistics, European Institute of Oncology, Milan, Italy
| | - Micol Tillhon
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy
| | - Giovanni Bertalot
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy
| | - Francesca de Santis
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy.,Present address: Advanced Cell Diagnostics, Segrate, Milan, Italy
| | - Flavia Troglio
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy.,Present address: Division of Immunology, Transplantantion and Infectious Disease, Leukocyte Biology Unit, San Raffaele Scientific Institute, Milan, Italy
| | - Simona Pessina
- Department of Pathology, European Institute of Oncology, Milan, Italy
| | - Antonio Passaro
- Division of Thoracic Oncology, European Institute of Oncology, Milan, Italy
| | - Salvatore Pece
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy.,DIPO, Department of Hemato-Oncology and Oncology, University of Milan, Milan, Italy
| | - Filippo de Marinis
- Division of Thoracic Oncology, European Institute of Oncology, Milan, Italy
| | | | - Giuseppe Viale
- Department of Pathology, European Institute of Oncology, Milan, Italy.,DIPO, Department of Hemato-Oncology and Oncology, University of Milan, Milan, Italy
| | - Lorenzo Spaggiari
- DIPO, Department of Hemato-Oncology and Oncology, University of Milan, Milan, Italy.,Division of Thoracic Surgery, European Institute of Oncology, Milan, Italy
| | - Pier Paolo Di Fiore
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy.,DIPO, Department of Hemato-Oncology and Oncology, University of Milan, Milan, Italy.,IFOM, The FIRC Institute of Molecular Oncology, Milan, Italy
| | - Fabrizio Bianchi
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy.,Present address: Institute for Stem-cell Biology, Regenerative Medicine and Innovative Therapies (ISBReMIT), IRCCS Casa Sollievo della Sofferenza, Foggia, Italy
| | - Massimo Barberis
- Department of Pathology, European Institute of Oncology, Milan, Italy
| | - Manuela Vecchi
- Molecular Medicine Program, European Institute of Oncology, Milan, Italy.,IFOM, The FIRC Institute of Molecular Oncology, Milan, Italy
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ALK Immunohistochemistry for ALK Gene Rearrangement Screening in Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis. Int J Biol Markers 2016; 31:e413-e421. [DOI: 10.5301/jbm.5000218] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2016] [Indexed: 11/20/2022]
Abstract
Introduction The aim of this study was to investigate the diagnostic accuracy of anaplastic lymphoma kinase (ALK) immunohistochemistry (IHC) for ALK gene rearrangement in non-small cell lung cancer (NSCLC) through systematic review, meta-analysis and diagnostic test accuracy review. Methods The current study included 11,806 NSCLC cases in 42 eligible studies. We performed concordance analyses between ALK IHC and fluorescence in situ hybridization (FISH). The diagnostic accuracy of ALK IHC was analyzed based on ALK IHC criteria and antibodies. Results The overall ALK IHC results were positive in 13.2%. The overall concordance rate between ALK IHC and FISH was 0.950 (95% confidence interval [CI], 0.927-0.966). In the ALK IHC-positive and negative groups, the concordance rates were 0.805 (95% CI 0.733-0.861) and 0.985 (95% CI 0.978-0.990), respectively. The ALK FISH-positive rates were 0.009 (95% CI 0.004-0.023), 0.378 (95% CI 0.217-0.572), 0.628 (95% CI 0.420-0.796) and 0.900 (95% CI 0.840-0.939) in the ALK IHC 0, 1+, 2+ and 3+ groups, respectively. In diagnostic test accuracy review for ALK IHC, the pooled sensitivity and specificity were 0.92 (95% CI 0.89-0.94) and 0.91 (95% CI 0.90-0.91), respectively. The diagnostic odds ratio and the area under the curve on the summary receiver operating characteristic curve were 266.56 (95% CI 110.83-641.14) and 0.983, respectively. Conclusions Our results suggested that ALK IHC equivocal (score 1+ and 2+) cases should not be considered as IHC-negative in screening for ALK gene rearrangement. Additional detailed criteria for ALK IHC equivocal cases are necessary to determine how to best apply this approach in daily practice.
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