Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782410163582402560 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4713204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT zhangyanni detectionofmetgenecopynumberincancersamplesusingthedropletdigitalpcrmethod AT tangentzu detectionofmetgenecopynumberincancersamplesusingthedropletdigitalpcrmethod AT duzhiqiang detectionofmetgenecopynumberincancersamplesusingthedropletdigitalpcrmethod |