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

被引:58
作者
Zhu, Guanhua [1 ]
Guo, Yu A. [1 ]
Ho, Danliang [1 ]
Poon, Polly [1 ]
Poh, Zhong Wee [1 ]
Wong, Pui Mun [1 ]
Gan, Anna [1 ]
Chang, Mei Mei [1 ]
Kleftogiannis, Dimitrios [1 ]
Lau, Yi Ting [1 ]
Tay, Brenda [2 ]
Lim, Wan Jun [2 ]
Chua, Clarinda [2 ]
Tan, Tira J. [2 ]
Koo, Si-Lin [2 ]
Chong, Dawn Q. [2 ]
Yap, Yoon Sim [2 ]
Tan, Iain [1 ,2 ,3 ]
Ng, Sarah [1 ]
Skanderup, Anders J. [1 ,2 ]
机构
[1] ASTAR, Genome Inst Singapore GIS, Singapore, Singapore
[2] Natl Canc Ctr Singapore, Singapore, Singapore
[3] Natl Univ Singapore, Duke NUS Med Sch, Singapore, Singapore
关键词
WHOLE-GENOME; ACQUIRED-RESISTANCE; CANCER; PLASMA; HETEROGENEITY; MUTATIONS; FRAMEWORK; BIOPSY; LIQUID; DRIVER;
D O I
10.1038/s41467-021-22463-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (<25kb) of predictive regions, we demonstrate how the approach could enable quantitative low-cost tracking of ctDNA dynamics and disease progression. Circulating tumour DNA (ctDNA) represents a non-invasive option to monitor cancer progression. Here, the authors perform deep sequencing of plasma cell-free DNA, and find that nucleosome-dependent cfDNA degradation at 6 specific regulatory regions is predictive of ctDNA burden.
引用
收藏
页数:11
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