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Assessment of MYC and TERT copy number variations in lung cancer using digital PCR

Authors :
Alexander Brik
Katharina Wichert
Daniel G. Weber
Katja Szafranski
Peter Rozynek
Swetlana Meier
Yon-Dschun Ko
Reinhard Büttner
Klaus Gerwert
Thomas Behrens
Thomas Brüning
Georg Johnen
Source :
BMC Research Notes, Vol 16, Iss 1, Pp 1-7 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract 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

Details

Language :
English
ISSN :
17560500
Volume :
16
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Research Notes
Publication Type :
Academic Journal
Accession number :
edsdoj.4d4b32ed6fb3484da5c41823e17232a2
Document Type :
article
Full Text :
https://doi.org/10.1186/s13104-023-06566-x