Evidence map›Paper›PMID 41378016›Full record

ArticleTranslational cancer research2025

Causal relationship between hypertension and cancer: a two‑sample bidirectional Mendelian randomization study.

Chenggong Zeng, Juanhua Zhu, Yan Mao, Xi Zhen, Zhiqing Wei, Zijun Zhen

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Article in Translational cancer research, 2025. 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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6 authors.

Chenggong Zeng *State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID https://orcid.org/0000-0002-2224-6031
Juanhua Zhu *State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.
Yan Mao *State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xi ZhenThe Pennsylvania State University State College, Pennsylvania, PA, USA.
Zhiqing WeiState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zijun ZhenState Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID https://orcid.org/0000-0002-4442-0897

Funding

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6 · The paper itself

Abstract

Background: Evidence from observational studies suggests that the association between hypertension and cancer is controversial, likely due to confounding factors and reverse causality. This study employs Mendelian randomization (MR) to investigate the causal relationship between hypertension and various cancers. Methods: We conducted two‑sample bidirectional MR analyses using genetic variants associated with hypertension (484,598 participants) and 17 site-specific cancers from various genome-wide association studies (GWAS) including the GWAS Catalog, Integrative Epidemiology Unit OpenGWAS project, and FinnGen study. GWAS data on anti-hypertensive drugs prescription were used to explore potential mechanisms. The primary analysis employed the inverse variance weighted (IVW) method, supplemented by MR-Egger, weighted median, weighted mode, and simple mode methods. Heterogeneity and pleiotropy were assessed using Cochran's Q, the MR-Egger intercept test, the MR pleiotropy residual sum and outlier test, leave-one-out analysis, funnel plots, and MR-Robust Adjusted Profile Score analysis. Genetic instruments were selected based on genome-wide significance (P<5×10 Results: We identified a potential causal relationship between hypertension and a decreased risk of gastric cancer [odds ratio (OR) =0.615, 95% confidence interval (CI): 0.415-0.912, P=0.02] and colorectal cancer (OR =0.708, 95% CI: 0.516-0.971, P=0.03). MR estimates were consistent in East Asian populations (gastric cancer, OR =0.573, P=0.01; colorectal cancer, OR =0.466, P=0.001) and directionally similar in the FinnGen cohort. Reverse MR analysis indicated an inverse association of lymphoma with hypertension risk (OR =0.992, 95% CI: 0.985-1.000, P=0.044), whereas genetic predisposition to thyroid cancer was positively associated with hypertension (OR =1.008, 95% CI: 1.002-1.013, P=0.01). Further investigation identified inverse associations between gastric cancer risk and the use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEIs/ARBs) (OR =0.834, P<0.001), beta-blockers (OR =0.753, P<0.001), and calcium channel blockers (CCBs) (OR =0.794, P<0.001). Similar effects were observed for colorectal cancer with ACEI/ARB (OR =0.931, P=0.03), beta-blockers (OR =0.900, P=0.01), CCB (OR =0.912, P=0.008), and diuretics (OR =0.917, P=0.03). Conclusions: Our MR analyses suggested that genetic predisposition to hypertension was associated with a reduced risk of gastric and colorectal cancer. This inverse relationship may be mediated by biological pathways that are targeted by antihypertensive drugs, highlighting a potential mechanistic link worthy of further clinical investigation.

Indexed as

anti-hypertensive drugscancercausal relationshipHypertensionMendelian randomization (MR)

Identifiers

PMID41378016
PMCPMC12686201

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