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- Create Date July 19, 2024
- Last Updated July 19, 2024
Background:
Cell free DNA (cfDNA)-based assays hold great potential in detecting early cancer signals. However, predicting the tissue-of-origin for multiple cancer types at an early stage remains challenging due to the low abundance of tumor- derived cfDNA and the confounding presence of various DNA components released from non- tumor sources.
Solutions:
- DNA methylation has been proved an important epigenetic marker in cancer early detection context. Furthermore, these DNA methylation patterns are tissue-specific and remain stable during neoplastic transformation. An atlas of these tissue-specific methylation was constructed for five cancer types.
- In this study, we investigated the application of artificial intelligence and methylation atlas to deconvolute cell types, with the goal of creating a model that can detect tumor origin in cfDNA samples for early cancer screening.
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