Evidence map›Paper›PMID 41088055›Full record

ArticleBMC cancer2025

Allostatic load and kidney cancer incidence and mortality: a genetic susceptibility and proteomic mediation analysis.

Chenhao Xu, Da Huo, Yanxu Liu, Qiyu Zhu, Junjie Zhao, Jiayu Liang, Xianding Wang

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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2citing papers in PubMed, 1 pooled it
–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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chenhao Xu *Department of Urology, Institute of Urology, Sichuan Clinical Research Center for kidney and urologic diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Da Huo *Department of Urology, Institute of Urology, Sichuan Clinical Research Center for kidney and urologic diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yanxu Liu *West China School of Medicine, Sichuan University, Chengdu, Sichuan, China.
Qiyu ZhuDepartment of Urology, Institute of Urology, Sichuan Clinical Research Center for kidney and urologic diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Junjie ZhaoDepartment of Urology, Institute of Urology, Sichuan Clinical Research Center for kidney and urologic diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jiayu Liang *Department of Urology, Institute of Urology, Sichuan Clinical Research Center for kidney and urologic diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China. jiayu.liang@scu.edu.cn.
Xianding Wang *Department of Urology, Institute of Urology, Sichuan Clinical Research Center for kidney and urologic diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China. xiandingwang@outlook.com.

Funding

NSFC NSFC 82202901
6 · The paper itself

Abstract

backgroundAllostatic load (AL), reflecting chronic physiological stress across neuroendocrine, immune, and metabolic systems, may contribute to the onset and prognosis of multiple cancers via inflammation and stress-related injury. However, the associations between AL and kidney cancer (KC) remain unclear. And large-scale evidence linking AL to KC risk, prognosis, and molecular mechanisms is lacking.

methodsIn this Prospective UK Biobank cohort study, 334,754 Participants were analyzed for KC incidence, 357 KC Patients for mortality, and 36,120 participants for proteomic mediation. Proteomic mediation was performed using Med4way analysis; protein trajectories were analyzed using locally weighted regression smoothing (LOESS) regression. The expression profiles of key mediator genes were validated by single-cell RNA sequencing. Enrichment analyses were conducted to characterize mediator proteins by biological pathways, tissue specificity, and cell-type distribution. An AL-mediated proteins-based prediction model was developed via LASSO-Cox regression.

resultsDuring mean follow-up of 13.2 years, participants in the highest AL quintile had increased KC incidence (HR 1.70, 95% CI 1.38-2.10). Among KC patients, high AL was associated with increased mortality (HR 3.10, 95% CI 1.51-6.36). Proteins mediating AL-KC associations included HAVCR1, GDF15, TNFRSF11A, FSTL3, and CD83; HAVCR1 showed strongest mediation (72.69%) and distinct pre-diagnostic trajectory. Functional enrichment revealed these proteins were jointly involved in immune regulation, stress response, and epithelial signaling pathways. The predictive model incorporating NOS3, SULT2A1, HAVCR1, FSTL3, and sex achieved robust performance (10-year AUC 0.80) for KC Prediction.

conclusionsAL is associated with increased KC incidence and mortality, mediated through inflammatory and metabolic proteins. These findings underscore chronic physiological stress as a significant factor in KC pathogenesis, providing potential biomarkers for early risk assessment and targeted prevention.

Indexed as

AllostasisGenetic Predisposition to DiseaseKidney NeoplasmsAgedFemaleHumansIncidenceMaleMediation AnalysisMiddle AgedPrognosisProspective StudiesProteomicsUnited KingdomAllostatic loadKidney cancerProteomicsPsychosocial

Identifiers

PMID41088055
PMCPMC12523015

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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.