1. The proliferative history shapes the DNA methylome of B-cell tumors and predicts clinical outcome
- Author
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Duran-Ferrer, Marti, Clot, Guillem, Nadeu, Ferran, Beekman, Renee, Baumann, Tycho, Nordlund, Jessica, Marincevic-Zuniga, Yanara, Lönnerholm, Gudmar, Rivas-Delgado, Alfredo, Martin, Silvia, Ordonez, Raquel, Castellano, Giancarlo, Kulis, Marta, Queiros, Ana C., Lee, Seung-Tae, Wiemels, Joseph, Royo, Romina, Puiggros, Montserrat, Lu, Junyan, Gine, Eva, Bea, Silvia, Jares, Pedro, Agirre, Xabier, Prosper, Felipe, Lopez-Otin, Carlos, Puente, Xose S., Oakes, Christopher C., Zenz, Thorsten, Delgado, Julio, Lopez-Guillermo, Armando, Campo, Elias, Ignacio Martin-Subero, Jose, Duran-Ferrer, Marti, Clot, Guillem, Nadeu, Ferran, Beekman, Renee, Baumann, Tycho, Nordlund, Jessica, Marincevic-Zuniga, Yanara, Lönnerholm, Gudmar, Rivas-Delgado, Alfredo, Martin, Silvia, Ordonez, Raquel, Castellano, Giancarlo, Kulis, Marta, Queiros, Ana C., Lee, Seung-Tae, Wiemels, Joseph, Royo, Romina, Puiggros, Montserrat, Lu, Junyan, Gine, Eva, Bea, Silvia, Jares, Pedro, Agirre, Xabier, Prosper, Felipe, Lopez-Otin, Carlos, Puente, Xose S., Oakes, Christopher C., Zenz, Thorsten, Delgado, Julio, Lopez-Guillermo, Armando, Campo, Elias, and Ignacio Martin-Subero, Jose
- Abstract
We report a systematic analysis of the DNA methylation variability in 1,595 samples of normal cell subpopulations and 14 tumor subtypes spanning the entire human B-cell lineage. Differential methylation among tumor entities relates to differences in cellular origin and to de novo epigenetic alterations, which allowed us to build an accurate machine learning-based diagnostic algorithm. We identify extensive individual-specific methylation variability in silenced chromatin associated with the proliferative history of normal and neoplastic B cells. Mitotic activity generally leaves both hyper- and hypomethylation imprints, but some B-cell neoplasms preferentially gain or lose DNA methylation. We construct a DNA-methylation-based mitotic clock, called epiCMIT, whose lapse magnitude represents a strong independent prognostic variable in B-cell tumors and is associated with particular driver genetic alterations. Our findings reveal DNA methylation as a holistic tracer of B-cell tumor developmental history, with implications in differential diagnosis and the prediction of clinical outcome. Martin-Subero and colleagues analyze DNA methylation patterns in B-cell tumors and their normal cells of origin, and develop epiCMIT, a methylation-based mitotic clock with prognostic relevance.
- Published
- 2020
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