ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
Nuclear Mechanotransduction Across the Metastatic Cascade: Decoding Spatiotemporal Heterogeneity in Cancer Dissemination.
Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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.
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Authors and funding
5 authors.
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Abstract
Cancer metastasis is the leading cause of cancer-related mortality, involving complex interactions between tumor cells and the mechanically heterogeneous tumor microenvironment. The cell nucleus serves as a central mechanosensor in metastasis, dynamically perceiving and responding to the spatiotemporal evolution of mechanical signals throughout the metastatic cascade. These mechanical responses, such as nuclear deformation, nuclear envelope rupture and repair, and chromatin remodeling, not only directly regulate cellular behavior but also transduce biochemical signals through mechanotransduction pathways. While studies have focused on nuclear softening, membrane rupture/repair, and mechanical memory in metastasis, a comprehensive integration of the nucleus's spatiotemporal mechanical responses across the entire metastatic process is lacking. This review proposes a "nucleus-centered cross-stage mechanical signal decoding" framework, highlighting how nuclear mechanosensitive components dynamically decode mechanical signals in response to changes in metastatic stages and microenvironmental features. We further explore innovative anti-metastasis strategies targeting key nuclear mechanosensitive elements and downstream transcriptional regulators, evaluating the therapeutic potential of physical interventions at specific metastatic stages. Additionally, we discuss ongoing controversies in the field, offering a novel perspective for understanding metastasis and developing integrated therapeutic paradigms.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.