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

BMC Research Notes

Research Note

Klaus Gerwert¹  Yon-Dschun Ko²  Swetlana Meier³  Thomas Behrens³  Alexander Brik³  Katja Szafranski³  Georg Johnen³  Daniel G. Weber³  Peter Rozynek³  Katharina Wichert³  Thomas Brüning³  Reinhard Büttner⁴ 

[1] Center for Protein Diagnostics (PRODI), Department of Biophysics, Ruhr University Bochum, Bochum, Germany;Department of Internal Medicine, Johanniter-Kliniken Bonn GmbH, Bonn, Germany;Institute for Prevention and Occupational Medicine of the German Social Accident Insurance – Institute of the Ruhr University Bochum (IPA), Bochum, Germany;Institute of Pathology, Medical Faculty and Center for Molecular Medicine (CMMC), University of Cologne, Cologne, Germany;

关键词: Marker combination;    Copy number variations;    Digital polymerase chain reaction;    Diagnosis;    Non-small cell lung cancer;    Frozen tissue;   

DOI  :  10.1186/s13104-023-06566-x

 received in 2023-04-21, accepted in 2023-10-11,  发布年份 2023

来源: Springer

【 摘 要 】

ObjectiveLung 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.ResultsTERT 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.

【 授权许可】

CC BY   
© BioMed Central Ltd., part of Springer Nature 2023

【 图 表 】

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