Fluctuating DNA methylation tracks cancer evolution at clinical scale - Nature
Cancer evolutionary dynamics are quantitatively inferred using a method, EVOFLUx, applied to fluctuating DNA methylation.
Studying cancer evolution needs multi-region or single cell seq for phylogenetics, right? Amazingly (I think!) we found single-sample bulk methylation suffices, via analysis of "fluctuating methylation". In @nature.com today led by brilliant @calumgabbutt.bsky.social www.nature.com/articles/s41...
10.09.2025 15:21 β π 91 π 39 π¬ 7 π 2
congrats Trevor and @calumgabbutt.bsky.social, great to see this out. Still kind of amazed by Figure 5!
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Interestingly we didn't see much evidence of any intermediate genomes between these two states
03.12.2024 19:04 β π 0 π 0 π¬ 2 π 0
For the highly aneuploid cells that look like cancer genomes, I would guess they are some kind of pre-cancer clone and there may have been some kind of pre-malignant lesion that was too small for us to see in the pathology in most cases.
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For the cells with just 1 or 2 of the common CNAs I think they likely provide a selective advantage to cells, or at least are not very deleterious relative to other CNAs.
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Thanks to all co-authors, in particular @mike-oli.bsky.social, Vinci Au, Sam Aparicio, Joan Brugge and Sohrab Shah. This was a fascinating dataset to explore together!
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We also found a very rare subset of cells that had extreme levels of aneuploidy, and to our eyes, were largely indistinguishable from breast cancer genomes.
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These changes are strikingly similar to some common alterations found in breast cancers (gains of 1q, losses on 16q, 22)
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We found chromosomal abnormalities occur at a low but appreciable level in all individuals (both BRCA carriers and non-carriers).
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