Evidence map›Paper›PMID 41556158›Full record

ArticleInternational journal of surgery (London, England)2026

Integrated multi-omics identifies MCRS1 as a causal hub linking aging, metabolic syndrome, and breast cancer progression.

Yiying Tao, Xibing Ding, Wei Xuan, Hao Zhu, Xiaohua Liu, Yuqing Chen, Jialin Wu, Jing Du, Jie Tian, Guojun Qian

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 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

What it found

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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

10 authors.

Yiying TaoKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xibing DingKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei XuanKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao ZhuKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiaohua LiuKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yuqing ChenKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jialin WuKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jing DuDepartment of Ultrasound, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jie TianKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Guojun QianKey Laboratory of Anesthesiology (Shanghai Jiao Tong University, Ministry of Education), Department of Anesthesiology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-4558-712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAging and metabolic syndrome (MetS) are intertwined risk factors for breast cancer (BC), but the core molecular nexus integrating these states is unknown. This study aimed to identify and validate a causal driver at this intersection.

methodsWe integrated transcriptomic datasets from BC, MetS, and aging cohorts to identify common dysregulated genes. Machine learning algorithms prioritized a core diagnostic signature. We used Mendelian randomization to infer causality and characterized the lead candidate using single-cell RNA sequencing and comprehensive preclinical validation.

resultsOur analysis identified a 25-gene core at the intersection of BC, MetS, and aging. Machine learning distilled this to five hub genes that formed a highly accurate diagnostic nomogram. Critically, Mendelian randomization established MCRS1 as the sole causal risk factor for BC among these candidates. Single-cell analysis revealed that Mcrs1 is predominantly expressed in proliferating cancer cells, where it drives a transcriptional program of enhanced cell cycle, senescence, and metabolic reprogramming. Accordingly, genetic knockdown of Mcrs1 profoundly suppressed BC cell proliferation and invasion in vitro, and in vivo experiments using an orthotopic BC model in C57BL/6 mice demonstrated significantly reduced tumor growth.

conclusionThis study identifies MCRS1 as a central molecular hub that causally links aging and MetS to BC pathogenesis. MCRS1 is a validated driver of tumor progression and a high-performance biomarker, representing a potential target for therapeutic development, particularly in BC patients with metabolic comorbidities.

Indexed as

agingbreast cancerMCRS1Mendelian randomizationmetabolic syndrome

Identifiers

PMID41556158
PMCPMC13105736

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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.