Evidence map›Paper›PMID 42455107›Full record

ArticleJACC. CardioOncology2026

Cardiovascular-Kidney-Metabolic Syndrome Staging and Cancer Risk: Insights From Proteomic and Metabolomic Mediators.

Xixi Xiao, Jiayong Li, Yu Ning, Yunyao Yang, Zhen Ou, Bin Dong, Yugang Dong, Yi Li, Chen Liu, Yilong Wang and 1 more

Abstract read
In one paragraph

Article in JACC. CardioOncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Xixi XiaoDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China.
Jiayong LiDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China.
Yu NingDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China.
Yunyao YangDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China.
Zhen OuDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China.
Bin DongDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, PR China.
Yugang DongDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, PR China.
Yi LiDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, PR China.
Chen LiuDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, PR China. Electronic address: liuch75@mail.sysu.edu.cn.
Yilong WangDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, PR China. Electronic address: wangylong35@mail.sysu.edu.cn.
Ruicong XueDepartment of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, PR China; Key NHC Key Laboratory of Assisted Circulation (Sun Yat-sen University), Guangzhou, PR China; National-Guangdong Joint Engineering Laboratory for Diagnosis and Treatment of Vascular Diseases, Guangzhou, PR China. Electronic address: xuerc3@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular-kidney-metabolic (CKM) syndrome is an emerging integrative framework and a critical determinant of overall disease risk; however, its relationship with cancer risk and underlying mechanisms remains poorly understood.

objectivesThis study sought to investigate the association between CKM staging and incident cancer and elucidate mediators underlying this association, thereby uncovering pathways and potential targets for risk mitigation based on multiomics analysis.

methodsUK Biobank participants were categorized into CKM stages 0 to 4 according to the American Heart Association staging framework based on International Classification of Diseases, 10th Revision codes. Cox regression was conducted to evaluate associations between CKM staging and overall cancer incidence. Proteomic and metabolomic mediators linking adjacent stages and cancer were identified using Cox regression, logistic regression, and mediation analysis and underwent Gene Ontology enrichment and interaction network analyses.

resultsOverall cancer risk increased stepwise from CKM stages 1 to 3, with slight attenuation but persistent elevation in stage 4. Stage-specific mediators and mechanisms were identified: leukocyte/lymphocyte activation and cell-cell adhesion in stage 1; T cell-related immunity and emerging immune tolerance induction in stage 2; emerging natural killer (NK) cell tolerance induction and respiratory burst involved in the inflammatory response in stage 3; and dominant NK cell tolerance induction and tissue-resident chronic pathology in stage 4. Dominant metabolomic mediation evolved from high-density lipoproteins (HDLs) and triglyceride-rich lipoproteins (TRLs) to low-density lipoproteins (LDLs). Protein-metabolite interaction networks revealed distinct profiles for each stage, including angiopoietin-like protein 1/HDL and asialoglycoprotein receptor 1/TRL interactions in early stages and phospholipid transfer protein/HDL, apolipoprotein M/LDL, and fibroblast growth factor-binding protein 1/intermediate-density lipoprotein/LDL correlations in advanced stages.

conclusionsCKM staging is associated with incremental cancer risk and stage-specific immune-metabolic pathways, highlighting potential prevention targets.

Indexed as

biomarkerscancerCKM syndromemetabolomicsproteomics

Identifiers

PMID42455107
PMCPMC13492424

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Registered trials

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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.