| Literature DB >> 33850132 |
Guanhua Zhu1, Yu A Guo1, Danliang Ho1, Polly Poon1, Zhong Wee Poh1, Pui Mun Wong1, Anna Gan1, Mei Mei Chang1, Dimitrios Kleftogiannis1, Yi Ting Lau1, Brenda Tay2, Wan Jun Lim2, Clarinda Chua2, Tira J Tan2, Si-Lin Koo2, Dawn Q Chong2, Yoon Sim Yap2, Iain Tan3,4,5, Sarah Ng6, Anders J Skanderup7,8.
Abstract
Profiling of circulating tumor DNA (ctDNA) may offer a non-invasive approach to monitor disease progression. Here, we develop a quantitative method, exploiting local tissue-specific cell-free DNA (cfDNA) degradation patterns, that accurately estimates ctDNA burden independent of genomic aberrations. Nucleosome-dependent cfDNA degradation at promoters and first exon-intron junctions is strongly associated with differential transcriptional activity in tumors and blood. A quantitative model, based on just 6 regulatory regions, could accurately predict ctDNA levels in colorectal cancer patients. Strikingly, a model restricted to blood-specific regulatory regions could predict ctDNA levels across both colorectal and breast cancer patients. Using compact targeted sequencing (<25 kb) of predictive regions, we demonstrate how the approach could enable quantitative low-cost tracking of ctDNA dynamics and disease progression.Entities:
Year: 2021 PMID: 33850132 DOI: 10.1038/s41467-021-22463-y
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919