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Assessment of MYC and TERT copy number variations in lung cancer using digital PCR
OBJECTIVE: Lung cancer is the second most frequent cancer type and the most common cause of cancer-related deaths worldwide. Alteration of gene copy numbers are associated with lung cancer and the determination of copy number variations (CNV) is appropriate for the discrimination between tumor and n...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585721/ https://www.ncbi.nlm.nih.gov/pubmed/37858127 http://dx.doi.org/10.1186/s13104-023-06566-x |
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author | Brik, Alexander Wichert, Katharina Weber, Daniel G. Szafranski, Katja Rozynek, Peter Meier, Swetlana Ko, Yon-Dschun Büttner, Reinhard Gerwert, Klaus Behrens, Thomas Brüning, Thomas Johnen, Georg |
author_facet | Brik, Alexander Wichert, Katharina Weber, Daniel G. Szafranski, Katja Rozynek, Peter Meier, Swetlana Ko, Yon-Dschun Büttner, Reinhard Gerwert, Klaus Behrens, Thomas Brüning, Thomas Johnen, Georg |
author_sort | Brik, Alexander |
collection | PubMed |
description | OBJECTIVE: Lung cancer is the second most frequent cancer type and the most common cause of cancer-related deaths worldwide. Alteration of gene copy numbers are associated with lung cancer and the determination of copy number variations (CNV) is appropriate for the discrimination between tumor and non-tumor tissue in lung cancer. As telomerase reverse transcriptase (TERT) and v-myc avian myelocytomatosis viral oncogene homolog (MYC) play a role in lung cancer the aims of this study were the verification of our recent results analyzing MYC CNV in tumor and non-tumor tissue of lung cancer patients using an independent study group and the assessment of TERT CNV as an additional marker. RESULTS: TERT and MYC status was analyzed using digital PCR (dPCR) in tumor and adjacent non-tumor tissue samples of 114 lung cancer patients. The difference between tumor and non-tumor samples were statistically significant (p < 0.0001) for TERT and MYC. Using a predefined specificity of 99% a sensitivity of 41% and 51% was observed for TERT and MYC, respectively. For the combination of TERT and MYC the overall sensitivity increased to 60% at 99% specificity. We demonstrated that a combination of markers increases the performance in comparison to individual markers. Additionally, the determination of CNV using dPCR might be an appropriate tool in precision medicine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-023-06566-x. |
format | Online Article Text |
id | pubmed-10585721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105857212023-10-20 Assessment of MYC and TERT copy number variations in lung cancer using digital PCR Brik, Alexander Wichert, Katharina Weber, Daniel G. Szafranski, Katja Rozynek, Peter Meier, Swetlana Ko, Yon-Dschun Büttner, Reinhard Gerwert, Klaus Behrens, Thomas Brüning, Thomas Johnen, Georg BMC Res Notes Research Note OBJECTIVE: Lung cancer is the second most frequent cancer type and the most common cause of cancer-related deaths worldwide. Alteration of gene copy numbers are associated with lung cancer and the determination of copy number variations (CNV) is appropriate for the discrimination between tumor and non-tumor tissue in lung cancer. As telomerase reverse transcriptase (TERT) and v-myc avian myelocytomatosis viral oncogene homolog (MYC) play a role in lung cancer the aims of this study were the verification of our recent results analyzing MYC CNV in tumor and non-tumor tissue of lung cancer patients using an independent study group and the assessment of TERT CNV as an additional marker. RESULTS: TERT and MYC status was analyzed using digital PCR (dPCR) in tumor and adjacent non-tumor tissue samples of 114 lung cancer patients. The difference between tumor and non-tumor samples were statistically significant (p < 0.0001) for TERT and MYC. Using a predefined specificity of 99% a sensitivity of 41% and 51% was observed for TERT and MYC, respectively. For the combination of TERT and MYC the overall sensitivity increased to 60% at 99% specificity. We demonstrated that a combination of markers increases the performance in comparison to individual markers. Additionally, the determination of CNV using dPCR might be an appropriate tool in precision medicine. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13104-023-06566-x. BioMed Central 2023-10-19 /pmc/articles/PMC10585721/ /pubmed/37858127 http://dx.doi.org/10.1186/s13104-023-06566-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Note Brik, Alexander Wichert, Katharina Weber, Daniel G. Szafranski, Katja Rozynek, Peter Meier, Swetlana Ko, Yon-Dschun Büttner, Reinhard Gerwert, Klaus Behrens, Thomas Brüning, Thomas Johnen, Georg Assessment of MYC and TERT copy number variations in lung cancer using digital PCR |
title | Assessment of MYC and TERT copy number variations in lung cancer using digital PCR |
title_full | Assessment of MYC and TERT copy number variations in lung cancer using digital PCR |
title_fullStr | Assessment of MYC and TERT copy number variations in lung cancer using digital PCR |
title_full_unstemmed | Assessment of MYC and TERT copy number variations in lung cancer using digital PCR |
title_short | Assessment of MYC and TERT copy number variations in lung cancer using digital PCR |
title_sort | assessment of myc and tert copy number variations in lung cancer using digital pcr |
topic | Research Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585721/ https://www.ncbi.nlm.nih.gov/pubmed/37858127 http://dx.doi.org/10.1186/s13104-023-06566-x |
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