Evidence mapPaperPMID 41998694Full record

ArticleBreast cancer research : BCR2026

Single-cell transcriptomics identify mechanical-memory-associated cell states in metastatic HR

Xiwen Zhao, Yuan Fan, Jin Yang, Huan Gao

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Article in Breast cancer research : BCR, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xiwen ZhaoPhase I Clinical Trial Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, People's Republic of China.
Yuan FanPhase I Clinical Trial Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, People's Republic of China.
Jin YangPhase I Clinical Trial Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, People's Republic of China. yangjin@mail.xjtu.edu.
Huan GaoPhase I Clinical Trial Research Center, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi, People's Republic of China. huan20121213@163.com.

Funding

National Natural Science Foundation of China 82173277State Key Laboratory of Advanced Medical Materials and Devices Research Grant JYY25QZKF0001
6 · The paper itself

Abstract

backgroundMechanical memory has recently emerged as an important concept in tumor mechanobiology, reflecting the ability of cancer cells to retain and integrate past mechanical cues to guide future behaviors. However, a systematic definition of mechanical memory-related genes and their functional implications across cancers remains lacking.

methodsWe curated literature-supported mechanotransduction and mechanical memory pathways to construct a 79-gene Mechanical Memory Signature (MMS). MMS expression patterns and prognostic relevance were evaluated across 32 cancer types using TCGA datasets, followed by focused analyses in breast cancer. Single-cell RNA sequencing datasets containing primary and liver metastatic hormone receptor-positive (HR

resultsMMS expression was broadly elevated in aggressive tumors and predicted unfavorable survival outcomes, with the strongest association observed in breast cancer. Single-cell integration revealed MMS-high tumor cell clusters exhibiting a progressive rise in MMS activity along pseudotime, suggesting acquisition and persistence of mechanical memory during metastatic evolution. Within these clusters, RELA was identified as a central transcriptional node strongly correlated with MMS activity and linked to cytoskeletal remodeling and ECM-regulatory genes, including PFN1, CFL1, RHOA, TIMP1, and MMP14. In 3D collagen cultures, matrix stiffening markedly increased RELA and MMP14 expression, while pharmacological activation of the RELA-RhoA axis further amplified this effect even under soft matrix conditions.

conclusionOur study revealed RELA as a key mediator of mechanical memory-driven metastatic behavior in ER

Indexed as

Breast NeoplasmsMechanotransduction, CellularTranscriptomeCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasm MetastasisPrognosisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisER+ breast cancerExtracellular matrixLiver metastasisMechanical memoryRELA

Identifiers

PMID41998694
PMCPMC13317173

What Socratic holds

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LicenceCC BY-NC-ND
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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.