Evidence map›Paper›PMID 42026023›Full record

ArticleCell death & disease2026

Subclonal β-catenin/YAP signaling heterogeneity accelerates ovarian cancer metastasis through a senescence-associated secretory phenotype.

Sally K Y To, Yibin Yang, Zeyu Shi, Katie S W Fung, Sook Ling Lai, Joshua J X Li, Philip P C Ip, Alice S T Wong

Abstract read
In one paragraph

Article in Cell death & disease, 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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0citing papers in PubMed
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1 · What the graph read from it

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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.

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

8 authors.

Sally K Y To *School of Biological Sciences, University of Hong Kong, Hong Kong, China.
Yibin Yang *School of Biological Sciences, University of Hong Kong, Hong Kong, China.
Zeyu Shi *School of Biological Sciences, University of Hong Kong, Hong Kong, China.
Katie S W FungSchool of Biological Sciences, University of Hong Kong, Hong Kong, China.
Sook Ling LaiSchool of Biological Sciences, University of Hong Kong, Hong Kong, China.
Joshua J X LiDepartment of Pathology, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.
Philip P C IpDepartment of Pathology, Queen Mary Hospital, University of Hong Kong, Hong Kong, China.ORCID http://orcid.org/0000-0002-0493-9838
Alice S T WongSchool of Biological Sciences, University of Hong Kong, Hong Kong, China. awong1@hku.hk.ORCID http://orcid.org/0000-0002-0676-6475

Funding

Research Grants Council, University Grants Committee (RGC, UGC) 17104820
6 · The paper itself

Abstract

Intratumoral heterogeneity in metastatic cancers complicates effective treatment, as distinct tumor subclones display varying drug sensitivities and metastatic capabilities, interacting through mechanisms that remain poorly understood. In this study, we utilized an isogenic ovarian cancer cell pair distinguished by differential β-catenin signaling: non-metastatic (NM) cells with low β-catenin and highly metastatic (HM) cells with elevated β-catenin signaling. Co-engrafting NM and HM cells synergistically enhances peritoneal metastasis compared to either subclone alone. Immunohistochemical analysis revealed a mosaic β-catenin expression in mixed tumors, recapitulating the heterogeneity observed in clinical ovarian cancer cases. Notably, both NM cells and β-catenin-knockout HM cells exhibited an intrinsic senescence-associated secretory phenotype (SASP), mechanistically driven by Hippo/YAP signaling, which was suppressed by β-catenin in HM cells. This phenotype in turn facilitated the metastatic dissemination of β-catenin-high subclones through paracrine signaling. Importantly, mixed in vivo tumors were more susceptible to treatment with fisetin, a senolytic agent, and YAP inhibition, leading to marked reduction in metastatic burden. Overall, our findings demonstrate the pre-existence of senescence-like tumor cells in untreated conditions and reveal a novel cooperative mechanism in which β-catenin heterogeneity facilitates ovarian cancer progression through SASP-mediated subclonal interactions. These results provide a basis for targeted therapeutic strategies to disrupt intratumoral communication and improve treatment outcomes in metastatic ovarian cancer.

Indexed as

Adaptor Proteins, Signal Transducingbeta CateninOvarian NeoplasmsSenescence-Associated Secretory PhenotypeTranscription FactorsAnimalsCell Line, TumorCellular SenescenceFemaleHumansMiceNeoplasm MetastasisPhenotypeSignal TransductionYAP-Signaling ProteinsAdaptor Proteins, Signal Transducingbeta CateninTranscription FactorsYAP-Signaling Proteins

Identifiers

PMID42026023
PMCPMC13237159

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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 OpenQuestion graph.