Chapter title |
mFast-SeqS as a Monitoring and Pre-screening Tool for Tumor-Specific Aneuploidy in Plasma DNA.
|
---|---|
Chapter number | 28 |
Book title |
Circulating Nucleic Acids in Serum and Plasma – CNAPS IX
|
Published in |
Advances in experimental medicine and biology, January 2016
|
DOI | 10.1007/978-3-319-42044-8_28 |
Pubmed ID | |
Book ISBNs |
978-3-31-942042-4, 978-3-31-942044-8
|
Authors |
Jelena Belic, Marina Koch, Peter Ulz, Martina Auer, Teresa Gerhalter, Sumitra Mohan, Katja Fischereder, Edgar Petru, Thomas Bauernhofer, Jochen B. Geigl, Michael R. Speicher, Ellen Heitzer |
Editors |
Peter B. Gahan, Michael Fleischhacker, Bernd Schmidt |
Abstract |
Recent progress in the analysis of cell-free DNA fragments (cell-free circulating tumor DNA, ctDNA) now allows monitoring of tumor genomes by non-invasive means. However, previous studies with plasma DNA from patients with cancer demonstrated highly variable allele frequencies of ctDNA. Comprehensive genome-wide analysis of tumor genomes is greatly facilitated when plasma DNA has increased amounts of ctDNA. In order to develop a fast and cost-effective pre-screening method for the identification of plasma samples suitable for further extensive qualitative analysis, we adapted the recently described FAST-SeqS method. We show that our modified FAST-SeqS method (mFAST-SeqS) can be used as a pre-screening tool for an estimation of the ctDNA percentage. Moreover, since the genome-wide mFAST-SeqS z-scores correlate with the actual tumor content in plasma samples, changes in ctDNA levels associated with response to treatment can be easily monitored without prior knowledge of the genetic composition of tumor samples. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 30 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 8 | 27% |
Researcher | 6 | 20% |
Student > Master | 5 | 17% |
Student > Doctoral Student | 2 | 7% |
Professor > Associate Professor | 2 | 7% |
Other | 2 | 7% |
Unknown | 5 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 9 | 30% |
Medicine and Dentistry | 6 | 20% |
Agricultural and Biological Sciences | 3 | 10% |
Computer Science | 3 | 10% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 1 | 3% |
Unknown | 7 | 23% |