Evidence map›Paper›PMID 40665092›Full record

ArticleNPJ precision oncology2025

Association of circulating immuno-oncology biomarkers with breast cancer risk: insights from two prospective cohorts.

Jing Zheng, Chen Suo, Yan Wu, Baokun Cao, Ziyu Yuan, Yanfeng Jiang, Zhenqiu Liu, Weimin Ye, Haomin Yang, Xingdong Chen

Abstract read
In one paragraph

Article in NPJ precision oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

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

10 authors.

Jing Zheng *Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Chen Suo *Department of Epidemiology, School of Public Health, and the Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China.
Yan Wu *Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, China.
Baokun CaoDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Ziyu YuanFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
Yanfeng JiangFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
Zhenqiu LiuFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China.
Weimin YeDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China. ywm@fjmu.edu.cn.
Haomin YangDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China. haomin.yang@ki.se.
Xingdong ChenFudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China. xingdongchen@fudan.edu.cn.

Funding

National Key Research and Development Program of China 2024YFC3405800, 2024YFC3405803National Natural Science Foundation of China 82204132,W2523043
6 · The paper itself

Abstract

Immuno-oncology biomarkers are promising tools for cancer risk assessment and early detection. To identify and validate their associations with breast cancer, nested case-control studies within the Taizhou Longitudinal Study (TZL) cohort and the UK biobank Pharma Proteomics Project (UKB-PPP) were conducted, comprising 195 and 881 incident breast cancer patients, together with their matched controls. Among the 92 plasma proteins tested by the Olink Immuno-oncology panel, 11 proteins were associated with breast cancer risk in the TZL cohort after multiple testing correction. Notably, hepatocyte growth factor (HGF) was validated in the UKB-PPP, particularly among postmenopausal women (OR = 1.13, 95% CI = 1.03-1.24). The association was stronger with Estrogen Receptor-negative breast cancer and confirmed by Mendelian Randomization analysis. Additionally, HGF mediated the effects of Healthy Lifestyle Index (27.17%) and BMI (19.79%) on breast cancer risk. Therefore, HGF could be an intervention target by either medicines or lifestyle changes to improve the prevention and treatment of breast cancer.

Identifiers

PMID40665092
PMCPMC12263894

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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.