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Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method

PURPOSE: The analysis of MET gene copy number (CN) has been considered to be a potential biomarker to predict the response to MET-targeted therapies in various cancers. However, the current standard methods to determine MET CN are SNP 6.0 in the genomic DNA of cancer cell lines and fluorescence in s...

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Autores principales: Zhang, Yanni, Tang, En-Tzu, Du, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4713204/
https://www.ncbi.nlm.nih.gov/pubmed/26765781
http://dx.doi.org/10.1371/journal.pone.0146784
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author Zhang, Yanni
Tang, En-Tzu
Du, Zhiqiang
author_facet Zhang, Yanni
Tang, En-Tzu
Du, Zhiqiang
author_sort Zhang, Yanni
collection PubMed
description PURPOSE: The analysis of MET gene copy number (CN) has been considered to be a potential biomarker to predict the response to MET-targeted therapies in various cancers. However, the current standard methods to determine MET CN are SNP 6.0 in the genomic DNA of cancer cell lines and fluorescence in situ hybridization (FISH) in tumor models, respectively, which are costly and require advanced technical skills and result in relatively subjective judgments. Therefore, we employed a novel method, droplet digital PCR (ddPCR), to determine the MET gene copy number with high accuracy and precision. METHODS: The genomic DNA of cancer cell lines or tumor models were tested and compared with the MET gene CN and MET/CEN-7 ratio determined by SNP 6.0 and FISH, respectively. RESULTS: In cell lines, the linear association of the MET CN detected by ddPCR and SNP 6.0 is strong (Pearson correlation = 0.867). In tumor models, the MET CN detected by ddPCR was significantly different between the MET gene amplification and non-amplification groups according to FISH (mean: 15.4 vs 2.1; P = 0.044). Given that MET gene amplification is defined as MET CN >5.5 by ddPCR, the concordance rate between ddPCR and FISH was 98.0%, and Cohen's kappa coefficient was 0.760 (95% CI, 0.498–1.000; P <0.001). CONCLUSIONS: The results demonstrated that the ddPCR method has the potential to quantify the MET gene copy number with high precision and accuracy as compared with the results from SNP 6.0 and FISH in cancer cell lines and tumor samples, respectively.
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spelling pubmed-47132042016-01-26 Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method Zhang, Yanni Tang, En-Tzu Du, Zhiqiang PLoS One Research Article PURPOSE: The analysis of MET gene copy number (CN) has been considered to be a potential biomarker to predict the response to MET-targeted therapies in various cancers. However, the current standard methods to determine MET CN are SNP 6.0 in the genomic DNA of cancer cell lines and fluorescence in situ hybridization (FISH) in tumor models, respectively, which are costly and require advanced technical skills and result in relatively subjective judgments. Therefore, we employed a novel method, droplet digital PCR (ddPCR), to determine the MET gene copy number with high accuracy and precision. METHODS: The genomic DNA of cancer cell lines or tumor models were tested and compared with the MET gene CN and MET/CEN-7 ratio determined by SNP 6.0 and FISH, respectively. RESULTS: In cell lines, the linear association of the MET CN detected by ddPCR and SNP 6.0 is strong (Pearson correlation = 0.867). In tumor models, the MET CN detected by ddPCR was significantly different between the MET gene amplification and non-amplification groups according to FISH (mean: 15.4 vs 2.1; P = 0.044). Given that MET gene amplification is defined as MET CN >5.5 by ddPCR, the concordance rate between ddPCR and FISH was 98.0%, and Cohen's kappa coefficient was 0.760 (95% CI, 0.498–1.000; P <0.001). CONCLUSIONS: The results demonstrated that the ddPCR method has the potential to quantify the MET gene copy number with high precision and accuracy as compared with the results from SNP 6.0 and FISH in cancer cell lines and tumor samples, respectively. Public Library of Science 2016-01-14 /pmc/articles/PMC4713204/ /pubmed/26765781 http://dx.doi.org/10.1371/journal.pone.0146784 Text en © 2016 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zhang, Yanni
Tang, En-Tzu
Du, Zhiqiang
Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method
title Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method
title_full Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method
title_fullStr Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method
title_full_unstemmed Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method
title_short Detection of MET Gene Copy Number in Cancer Samples Using the Droplet Digital PCR Method
title_sort detection of met gene copy number in cancer samples using the droplet digital pcr method
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4713204/
https://www.ncbi.nlm.nih.gov/pubmed/26765781
http://dx.doi.org/10.1371/journal.pone.0146784
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