ArticleResearch (Washington, D.C.)2026
Evolution of Cancer Metastases via Lineage Trans-Differentiation.
Article in Research (Washington, D.C.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Epigenetic insights into cancer metastasis via lineage trans-differentiation.Genes & diseases · 2027Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Most cancer metastases exhibit mutational profiles similar to those of the primary tumor. However, the nongenetic mechanisms driving metastasis remain poorly understood. Here, we show that lineage trans-differentiation is a hallmark of cancer metastasis. Bioinformatic tools capable of reconstructing cancer phenotypic evolutionary trajectories at single-cell resolution were developed, revealing a progressive loss of transcriptional and epigenomic lineage fidelity in cancer cells as they evolve toward metastasis. During premetastatic evolution, cells undergo de-differentiation into a fetal-like state. The mis-expression of alternative-lineage gene programs during re-differentiation from this fetal-like state leads to the formation of trans-differentiated metastatic cells. This trans-differentiation, rather than fetal-like transcription, constitutes a key feature of metastasis in both humans and mice. In clinical samples, trans-differentiation correlates with histopathological grade, metastatic potential, and patient survival. Additionally, trans-differentiation is associated with gain of oncogenic mitogen-activated protein kinase (MAPK) signaling and can be reversed through MAPK inhibition. These findings offer a detailed account of metastatic cancer evolution driven by epigenetic reprogramming while also uncovering the molecular mechanisms underlying this process.
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Registered trials
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