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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
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.
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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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