Spatial deconvolution from bulk DNA methylation profiles determines intratumoral epigenetic heterogeneity
By developing a 7-loci panel using a machine learning approach combined with the QASM assay for PCR-based application, we present a valuable method for evaluating intratumoral heterogeneity. The MeHEG algorithm offers novel insights into tumor heterogeneity from an epigenetic perspective, potentially enriching current knowledge of tumor complexity and providing a new tool for clinical and research applications in cancer biology.
Authors
- Yumo Xie
- Ze Yuan (ORCID: https://orcid.org/0009-0006-6691-0818)
- Huichuan Yu (ORCID: https://orcid.org/0000-0001-8357-1615)
- Meijin Huang (ORCID: https://orcid.org/0000-0002-6530-3104)
- Binbin Liu (ORCID: https://orcid.org/0000-0002-0297-7531)
- Xiaolin Wang (ORCID: https://orcid.org/0000-0001-9171-4073)
- Yu Zhang (ORCID: https://orcid.org/0000-0001-7159-4561)
- Jinxin Lin (ORCID: https://orcid.org/0009-0003-0543-6743)
- Guannan Tang (ORCID: https://orcid.org/0000-0001-6063-189X)
- Yanxin Luo (ORCID: https://orcid.org/0000-0003-1967-127X)
- Xiaoxia Liu (ORCID: https://orcid.org/0009-0006-0414-9533)
Institutions
- Guangdong University of Technology (CN)
- Sun Yat-sen University (CN)
- Sixth Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- Cell & Bioscience
- Published
- 2025-01-23
- DOI
- https://doi.org/10.1186/s13578-024-01337-y
- Citations
- 2
- Primary Topic
- Epigenetics and DNA Methylation
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- National Natural Science Foundation of China
- Sun Yat-sen University
- Natural Science Foundation of Guangdong Province
- Project 211
- Fundamental Research Funds for the Central Universities