Digital PCR for the Analysis of MYC Copy Number Variation in Lung Cancer

المؤلفون المشاركون

Weber, Daniel G.
Casjens, Swaantje
Johnen, Georg
Brik, Alexander
Rozynek, Peter
Meier, Swetlana
Behrens, Thomas
Stamatis, Georgios
Darwiche, Kaid
Theegarten, Dirk
Brüning, Thomas

المصدر

Disease Markers

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-8، 8ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-09-21

دولة النشر

مصر

عدد الصفحات

8

التخصصات الرئيسية

الأمراض

الملخص EN

Background.

MYC (v-myc avian myelocytomatosis viral oncogene homolog) is one of the most frequently amplified genes in lung tumors.

For the analysis of gene copy number variations, dPCR (digital PCR) is an appropriate tool.

The aim of our study was the assessment of dPCR for the detection of MYC copy number variations (CNV) in lung tissue considering clinicopathological parameters.

Material and Methods.

MYC status was analyzed with dPCR as well as qPCR (quantitative PCR) using gDNA (genomic DNA) from tumor and adjacent nontumor tissue samples of lung cancer patients.

The performance of MYC was estimated based on the AUC (area under curve).

Results.

The results of the MYC amplification correlated significantly between dPCR and qPCR (rS=0.81, P<0.0001).

The MYC copy number revealed by dPCR showed statistically significant differences between tumor and adjacent nontumor tissues.

For discrimination, a sensitivity of 43% and a specificity of 99% were calculated, representing 55 true-positive and one false-positive tests.

No statistically significant differences could be observed for age, sex, and smoking status or the clinicopathological parameters (histological subtype, grade, and stage).

Conclusion.

The results of the study show that dPCR is an accurate and reliable method for the determination of MYC copy numbers.

The application is characterized by high specificity and moderate sensitivity.

MYC amplification is a common event in lung cancer patients, and it is indicated that the determination of the MYC status might be useful in clinical diagnostics.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Brik, Alexander& Weber, Daniel G.& Casjens, Swaantje& Rozynek, Peter& Meier, Swetlana& Behrens, Thomas…[et al.]. 2020. Digital PCR for the Analysis of MYC Copy Number Variation in Lung Cancer. Disease Markers،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1153837

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Brik, Alexander…[et al.]. Digital PCR for the Analysis of MYC Copy Number Variation in Lung Cancer. Disease Markers No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1153837

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Brik, Alexander& Weber, Daniel G.& Casjens, Swaantje& Rozynek, Peter& Meier, Swetlana& Behrens, Thomas…[et al.]. Digital PCR for the Analysis of MYC Copy Number Variation in Lung Cancer. Disease Markers. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1153837

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1153837