Litcius/Paper detail

Heat selection enables highly scalable methylome profiling in cell-free DNA for noninvasive monitoring of cancer patients

Elsie Cheruba, Ramya Viswanathan, Pui‐Mun Wong, Howard John Womersley, Shuting Han, Brenda Tay, Yiting Lau, Anna Gan, Polly Poon, Anders J. Skanderup, Sarah Ng, Aik Yong Chok, Dawn Q. Chong, Iain Beehuat Tan, Lih Feng Cheow

2022Science Advances14 citationsDOIOpen Access PDF

Abstract

Genome-wide analysis of cell-free DNA methylation profile is a promising approach for sensitive and specific detection of many cancers. However, scaling such assays for clinical translation is impractical because of the high cost of whole-genome bisulfite sequencing. We show that the small fraction of GC-rich genome is highly enriched in CpG sites and disproportionately harbors most of the cancer-specific methylation signature. Here, we report on the simple and effective heat enrichment of CpG-rich regions for bisulfite sequencing (Heatrich-BS) platform that allows for focused methylation profiling in these highly informative regions. Our novel method and bioinformatics algorithm enable accurate tumor burden estimation and quantitative tracking of colorectal cancer patient's response to treatment at much reduced sequencing cost suitable for frequent monitoring. We also show tumor epigenetic subtyping using Heatrich-BS, which could enable patient stratification. Heatrich-BS holds great potential for highly scalable screening and monitoring of cancer using liquid biopsy.

Topics & Concepts

Cell-free fetal DNADNA methylationProfiling (computer programming)Computer scienceScalabilityComputational biologySelection (genetic algorithm)BiologyGeneticsGeneArtificial intelligenceGene expressionPregnancyFetusPrenatal diagnosisDatabaseOperating systemCancer Genomics and DiagnosticsEpigenetics and DNA MethylationSingle-cell and spatial transcriptomics