Evidence mapPaperPMID 41467390Full record

ArticleJournal of the American Heart Association2026

Risk of Cardiovascular Disease Mortality in Patients With Diagnosed Cancer and Associated Genetic and Proteomic Mechanisms: A UK Biobank-Based Cohort Study.

Yuan Du, Sen Han, Jiaxi Cheng, Zhangyu Lin, Yanjun Song, Shanshan Shi, Zixiang Ye, Yingyi Xie, Wenbo Ding, Yuanlin Guo and 2 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 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

12 authors.

Yuan Du *Cardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Sen Han *Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Thoracic Oncology II Peking University Cancer Hospital and Institute Beijing China.
Jiaxi ChengCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID 0009-0004-8072-5059
Zhangyu LinCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID 0000-0001-9240-9724
Yanjun SongCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Shanshan ShiCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID 0000-0003-4970-3615
Zixiang YeCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Yingyi XieCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID 0000-0002-1056-864X
Wenbo DingCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Yuanlin GuoCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID 0000-0002-7159-0189
Shuang WangThe Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Kefei DouCardiometabolic Medicine Center Fuwai Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID 0000-0002-8372-6338

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have identified a link between cancer and cardiovascular disease; however, the underlying genetic and proteomic mechanisms remain unclear. Therefore, this study aimed to investigate the association between cancer diagnosis and cardiovascular mortality and to explore the potential mechanisms involved.

methodsA total of 379 944 participants without cardiovascular disease at baseline, including 65 047 individuals with cancer, were recruited from the UK Biobank database. The primary end point was cardiovascular death. Multivariate Cox regression was performed to evaluate the risk of cardiovascular death in populations with and without cancer. Genome-wide association studies, phenome-wide association studies, and proteomic analyses were applied to investigate the underlying genetic and proteomic mechanisms.

resultsMultivariate Cox regression analysis showed an increased risk of cardiovascular death in the group with cancer (hazard ratio, 1.50 [95% CI, 1.40-1.61]) after multivariable adjustment. Proteomic analysis confirmed a strong association between cancer and cardiovascular disease, primarily involving pathways related to complement and coagulation cascades, and various inflammatory processes. In contrast, genome-wide association studies and phenome-wide association studies revealed only a limited number of shared genetic variations between cancer and cardiovascular conditions, such as hypertension and cardiac dysrhythmias.

conclusionsCardiovascular risk is increased in patients with cancer and may be related to altered expression of inflammation- and coagulation-related proteins. In clinical practice, it is recommended to emphasize the management of endocrine, kidney, and inflammation-related risk factors in the population with cancer.

Indexed as

Cardiovascular DiseasesNeoplasmsProteomicsAgedBiological Specimen BanksFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMiddle AgedRisk AssessmentRisk FactorsUK BiobankUnited Kingdomcancercardio‐oncologycardiovascular deathsurvivalUK Biobank database

Identifiers

PMID41467390
PMCPMC12909011

What Socratic holds

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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 Socratic graph.