Abstract 757: Matrix stiffness encoded mechanical memory maintains proliferative dominance in tumor metastasis.

Abstract Clinical observations revealed that the progression of newly developed pulmonary metastasis during systemic therapy reflected resistance in primary lesions and suggested that metastatic foci may retain biological characteristics similar to those of the primary tumor. However, how tumor cells in pulmonary metastatic lesions retained the biological characteristics of the primary tumor in different microenvironments remained unclear. We reported that mechanical memory enabled tumor cells to resist biomechanical stress and sustain malignant traits. Stiff matrix activated the RhoA-ROCK1 signaling pathway, leading to actin cytoskeletal remodeling and the suppression of mitochondrial fission. This dysregulation of mitochondrial dynamics enhanced fatty acid β-oxidation, accumulating acetyl-CoA and subsequent histone hyperacetylation. This epigenetic reprogramming was mitotically heritable, allowing progeny cells to retain a proliferative advantage after detachment from stiff environments. Inhibiting RhoA-ROCK1 disrupted mechanical memory, reducing HCC pulmonary metastasis. Our findings proposed targeting mechanical memory as a novel metastasis prevention strategy. Citation Format: Yusheng Luo, Yuxi Pan, Xiaorong Lin, Shuo Fang. Matrix stiffness encoded mechanical memory maintains proliferative dominance in tumor metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 757.

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Journal
Cancer Research
Published
2026-04-03
DOI
https://doi.org/10.1158/1538-7445.am2026-757
Primary Topic
Cancer Research and Treatments
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article
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article

Abstract 757: Matrix stiffness encoded mechanical memory maintains proliferative dominance in tumor metastasis.

Shuo Fang, Yusheng Luo, Xiaorong Lin
Cancer Research
Cancer Research and Treatments
article

Abstract 757: Matrix stiffness encoded mechanical memory maintains proliferative dominance in tumor metastasis.

Shuo Fang, Yusheng Luo, Xiaorong Lin
article en

Abstract

Abstract Clinical observations revealed that the progression of newly developed pulmonary metastasis during systemic therapy reflected resistance in primary lesions and suggested that metastatic foci may retain biological characteristics similar to those of the primary tumor. However, how tumor cells in pulmonary metastatic lesions retained the biological characteristics of the primary tumor in different microenvironments remained unclear. We reported that mechanical memory enabled tumor cells to resist biomechanical stress and sustain malignant traits. Stiff matrix activated the RhoA-ROCK1 signaling pathway, leading to actin cytoskeletal remodeling and the suppression of mitochondrial fission. This dysregulation of mitochondrial dynamics enhanced fatty acid β-oxidation, accumulating acetyl-CoA and subsequent histone hyperacetylation. This epigenetic reprogramming was mitotically heritable, allowing progeny cells to retain a proliferative advantage after detachment from stiff environments. Inhibiting RhoA-ROCK1 disrupted mechanical memory, reducing HCC pulmonary metastasis. Our findings proposed targeting mechanical memory as a novel metastasis prevention strategy. Citation Format: Yusheng Luo, Yuxi Pan, Xiaorong Lin, Shuo Fang. Matrix stiffness encoded mechanical memory maintains proliferative dominance in tumor metastasis [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 757.

Cancer ResearchVol. 86(7_Supplement)
Sun Yat-sen University (CN), The Seventh Affiliated Hospital of Sun Yat-sen University (CN)
Openalex Percentile: Top 22%
Cancer Research and Treatments
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Abstract 757: Matrix stiffness encoded mechanical memory maintains proliferative dominance in tumor metastasis. — Shuo Fang, Yusheng Luo, et al. · Cancer Research (2026) | TGRS Research Map | TGRS