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Tissue-specific cell-free DNA degradation quantifies circulating tumor DNA burden

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....

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Detalles Bibliográficos
Autores principales: Zhu, Guanhua, Guo, Yu A., Ho, Danliang, Poon, Polly, Poh, Zhong Wee, Wong, Pui Mun, Gan, Anna, Chang, Mei Mei, Kleftogiannis, Dimitrios, Lau, Yi Ting, Tay, Brenda, Lim, Wan Jun, Chua, Clarinda, Tan, Tira J., Koo, Si-Lin, Chong, Dawn Q., Yap, Yoon Sim, Tan, Iain, Ng, Sarah, Skanderup, Anders J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044092/
https://www.ncbi.nlm.nih.gov/pubmed/33850132
http://dx.doi.org/10.1038/s41467-021-22463-y
Descripción
Sumario: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.