Evidence map›Paper›PMID 40785195›Full record

ArticleCancer medicine2025

Family History of Hypertension Predicts Thyroid Cancer Risk in Women: A Population-Based Cross-Sectional Study With Integrative Machine Learning and Genomic Analyses.

Zijin Wang, Yanhui Lin, Fanke Meng, Yuxin Sun, Ziran Zhang, Tong Wu, Min Fu, Fanye Wu, Zhengran Li, Zejun Chen

Abstract read
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Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Zijin WangThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-9158-4280
Yanhui LinHealth Management Center, The Third Xiangya Hospital, Central South University, Changsha, China.
Fanke MengEmergency Department, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China.
Yuxin SunThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Ziran ZhangThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Tong WuThe First Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Min FuDepartment of Ophthalmology, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Fanye WuThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Zhengran LiThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.
Zejun ChenThe Second Clinical Medicine School, Southern Medical University, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThyroid cancer is one of the most common endocrine malignancies globally, with a markedly higher incidence in women. Although pregnancy-induced hypertension is recognized as a risk factor, the underlying mechanisms linking hypertension and thyroid cancer remain poorly understood. This study explores the gender-specific associations between family history of hypertension and thyroid cancer, integrating clinical characteristics with genetic insights.

methodsIn this large-scale cross-sectional study conducted in China, clinical and lifestyle data were collected from 52,963 participants, including 296 thyroid cancer cases. An interpretable ensemble machine learning model was constructed to evaluate risk factors, and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated. Additionally, the Cox proportional hazards model was applied to identify significant hypertension-related genes, and Kaplan-Meier analyses were used to compare overall survival, clinical stages, and immune cell infiltration between high- and low-risk groups.

resultsOur analysis revealed that individuals with a family history of hypertension exhibited a significantly altered rate of thyroid cancer (p < 0.001). In particular, among women, a positive family history increased thyroid cancer risk (OR = 1.53, 95% CI: 1.09-2.14, p = 0.04) and emerged as a key predictor in the machine learning model. Genetic analyses identified overlapping genes-most notably FOXD3, F10, and SLC12A5-whose aberrant expression was associated with poorer five-year survival and distinct immune cell profiles.

conclusionsOur study provides novel clinical and genetic evidence that family history of hypertension is significantly associated with thyroid cancer in women. Integrating hypertension-related screening with genetic profiling may enhance risk stratification and aid in the development of personalized management strategies to reduce overtreatment.

Indexed as

HypertensionMachine LearningThyroid NeoplasmsAdultAgedChinaCross-Sectional StudiesFemaleGenetic Predisposition to DiseaseGenomicsHumansMaleMedical History TakingMiddle AgedRisk Factorsbiomarkersepidemiologygenomicsrisk modelTCGAthyroid cancer

Identifiers

PMID40785195
PMCPMC12336287

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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.