Evidence map›Paper›PMID 41680825›Full record

ArticleBiology direct2026

Comprehensive analysis of the causal risk factor from hypertension associated with prognosis and therapeutic response in renal cell carcinoma by multi-omics analysis and validation.

Wen-Jin Chen, Zi-Chang Liu, Wei Yang, Wen-Juan Zhao, Jia-Xin Chen, Si-Shun Gan, Ke-Qin Dong, Xiaofan Lu, Kai Miao, Jianwei Cao and 3 more

Abstract read
In one paragraph

Article in Biology direct, 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

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2 · The registry

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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

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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

13 authors.

Wen-Jin Chen *Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
Zi-Chang Liu *Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
Wei Yang *Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
Wen-Juan Zhao *School of Health Science and Engineering, University of Shanghai For Science and Technology, Shanghai, China.
Jia-Xin Chen *Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
Si-Shun Gan *Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
Ke-Qin DongDepartment of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
Xiaofan LuDepartment of Cancer and Functional Genomics, Institute of Genetics and Molecular and Cellular Biology, CNRS/INSERM/UNISTRA, Illkirch, 67400, France.
Kai MiaoCancer Centre and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, SAR, China. kaimiao@um.edu.mo.
Jianwei CaoDepartment of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China. vit_c@126.com.
Xiu-Wu PanDepartment of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China. panxiuwu@126.com.
Peng LuoCancer Centre and Institute of Translational Medicine, Faculty of Health Sciences, University of Macau, Macau, SAR, China. luopeng@smu.edu.cn.
Xin-Gang CuiDepartment of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China. cuixingang@xinhuamed.com.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertension is one of the known renal cell carcinoma (RCC)-associated factors. However, the gene expression patterns in hypertension tissues and the mechanisms of hypertension and RCC comorbidity have not been fully analyzed. This study aims to use single-cell RNA sequencing (scRNA-seq) integrated with multi-omics to explore RCC-associated hypertension gene modules and the causative relationship between key genes and the risk of RCC.

methodsHeterogenic expression programs in cross-species scRNA-seq tissues were classified by non-negative matrix factorization (NNMF) using scRNA-seq data from aortic tissues of hypertensive patients and spontaneously hypertensive rats (SHR). Molecular subtyping was performed using the bulk-seq and whole exome sequencing (WES) data of pan-cancer and RCC from TCGA. The Lasso-cox machine model was used to explore the predictors of survival and drug response in both TCGA, ICGC, E-MTAB-1980 and IMmotion 151 cohort. A total of 19 tissues were applied to perform scRNA-seq and then test the key gene expression. Finally, summary-data-based Mendelian Randomization (SMR) was used to verify the expression level of genes and traits of hypertension and RCC based on summary-level data from GWAS and expression quantitative trait loci (eQTL) studies. Two independent cohorts of European with GWAS summary statistics were used: hypertension cohort (119,731 cases and 343,202 controls) and RCC cohort (600 cases and 455,676 controls).

resultsscRNA-seq analysis revealed that the cross-species HTN-gene module consisted of 48 genes, which could classify the 523 patients into two subgroups with different survival and responses to targeted therapies. The results were then validated in three independent ccRCC cohorts. The core gene-panel scores were significantly different in vascular endothelial cells (P < 0.01), which also distinguished the cells from resistant and hypertensive tumor cells (both P < 0.001). SMR analysis demonstrated that TNXB was a reliable causative factor of hypertension and the RCC risk factor in hypertension (pSMR = 0.0029) and RCC (pSMR = 0.0031).

conclusionsThe results of the present study demonstrated that the HTN key genes were involved in the development of RCC and may represent potential therapeutic targets for the management of this complex disease.

Indexed as

Carcinoma, Renal CellHypertensionKidney NeoplasmsAnimalsHumansMaleMultiomicsPrognosisRatsRats, Inbred SHRRisk FactorsHypertensionMendelian randomizationMulti-omics dataRenal cell carcinomaSingle-cell RNA sequencing

Identifiers

PMID41680825
PMCPMC12998095

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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.