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DNA methylation profiling enables subclassification of mucinous ovarian carcinoma and distinguishes it from extraovarian mucinous metastases
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DOI：10.1016/j.xcrm.2026.102941.png)
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Abstract
En 中文
• DNA methylation profiling of mucinous ovarian tumors (MOCs/mBOTs) and metastases • mBOTs separate into “normal-like” and “carcinoma-like” methylation states • Two epigenetic subtypes of MOC suggest differential survival associations • Epigenetic classifier achieves >90% accuracy in separating MOCs from metastases
Keywords:
mucinous ovarian cancer
mucinous borderline ovarian tumor
metastasis
DNA methylation
molecular subtypes
machine learning
epigenetics
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