Causal relationship between subhealth status and pan-cancer risk: A Mendelian randomization study

Subhealth status (SHS), an intermediate state between health and disease, is increasingly prevalent, yet its potential causal role in cancer remains unclear. Leveraging publicly available genome-wide association data from the Integrative Epidemiology Unit, we conducted a two-sample Mendelian randomization (MR) study to estimate the causal effects of 4 SHS proxies - heart rate variability (HRV), health satisfaction, irritability, and mood swings - on risk of lung, breast, colorectal, prostate, cervical, pancreatic, and basal-cell carcinoma. Inverse variance-weighted (IVW) regression was the primary analysis, supplemented by sensitivity analyses (weighted median, MR-Egger, radial IVW, maximum likelihood). Genetically predicted higher HRV (standard deviation of normal-to-normal interbeat intervals and peak-to-valley respiratory sinus arrhythmia or high-frequency power) was associated with lower colorectal cancer risk. Higher irritability was causally linked to increased lung cancer risk. Mood swings showed a modest positive association with basal-cell carcinoma. Greater health satisfaction was associated with higher risks of cervical and pancreatic cancer. No directional pleiotropy or heterogeneity was detected for these associations. These findings suggest that selected SHS indicators may causally influence site-specific cancer risk, supporting early intervention on autonomic dysfunction and emotional dysregulation as plausible cancer-prevention strategies.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2025-11-14
DOI
https://doi.org/10.1097/md.0000000000045866
Primary Topic
Heart Rate Variability and Autonomic Control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Causal relationship between subhealth status and pan-cancer risk: A Mendelian randomization study

Yang-Zheng Lan, Yan-Yu Hou, Hua-Tao Wu, Jing Liu et al.
Medicine
Heart Rate Variability and Autonomic Control
article

Causal relationship between subhealth status and pan-cancer risk: A Mendelian randomization study

Yang-Zheng Lan, Yan-Yu Hou, Hua-Tao Wu, Jing Liu, Wen-Jia Chen, Xinning Yu
article en

Abstract

Subhealth status (SHS), an intermediate state between health and disease, is increasingly prevalent, yet its potential causal role in cancer remains unclear. Leveraging publicly available genome-wide association data from the Integrative Epidemiology Unit, we conducted a two-sample Mendelian randomization (MR) study to estimate the causal effects of 4 SHS proxies - heart rate variability (HRV), health satisfaction, irritability, and mood swings - on risk of lung, breast, colorectal, prostate, cervical, pancreatic, and basal-cell carcinoma. Inverse variance-weighted (IVW) regression was the primary analysis, supplemented by sensitivity analyses (weighted median, MR-Egger, radial IVW, maximum likelihood). Genetically predicted higher HRV (standard deviation of normal-to-normal interbeat intervals and peak-to-valley respiratory sinus arrhythmia or high-frequency power) was associated with lower colorectal cancer risk. Higher irritability was causally linked to increased lung cancer risk. Mood swings showed a modest positive association with basal-cell carcinoma. Greater health satisfaction was associated with higher risks of cervical and pancreatic cancer. No directional pleiotropy or heterogeneity was detected for these associations. These findings suggest that selected SHS indicators may causally influence site-specific cancer risk, supporting early intervention on autonomic dysfunction and emotional dysregulation as plausible cancer-prevention strategies.

MedicineVol. 104(46)
Shantou University (CN), Cancer Hospital of Shantou University Medical College (CN), First Affiliated Hospital of Shantou University Medical College (CN), Shantou University Medical College (CN)
Openalex Percentile: Top 48%
Heart Rate Variability and Autonomic Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.