Evidence map›Paper›PMID 39969618›Full record

ArticleDiscover oncology2025

Mendelian randomization study identifying immune cell phenotypes associated with breast cancer risk.

Zhiqin Zhang, Junfeng Zhao, Ying Li, Huijuan Zhang, Yunsong Chen, Linke Yang, Yanhui Zhang, Yang Li, Jiamao Lin

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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1 · What the graph read from it

What it found

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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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Zhiqin Zhang *Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, Shandong, China.
Junfeng Zhao *Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, Shandong, China.
Ying LiDepartment of Respiratory Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, Jinan, 250000, Shandong, China.
Huijuan ZhangShouguang Maternal and Child Care Hospital, Weifang, 262700, Shandong, China.
Yunsong ChenKey Laboratory for Biotech-Drugs of National Health Commission, Key Laboratory for Rare and Uncommon Diseases of Shandong Province, Biomedical Sciences College and Shandong Medicinal Biotechnology Centre, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong, China.
Linke YangDepartment of Pathology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Academy of Medical Sciences, Jinan, China.
Yanhui ZhangDepartment of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250000, Shandong, China.
Yang LiShandong Provincial Key Laboratory of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Academy of Medical Sciences, Jinan, 250017, China. ly66457809@163.com.
Jiamao LinDepartment of Traditional Chinese and Western Medicine, Shandong Cancer Hospital and Institute, Shandong First Medical University, Academy of Medical Sciences, Jinan, 250017, China. linjiamao_@126.com.

Funding

Shandong Provincial Natural Science Foundation Innovation and Development Joint Fund Project grant number ZR202305310046Shandong Traditional Chinese Medicine Science and Technology Project grant number Q-2022113
6 · The paper itself

Abstract

backgroundGlobally, breast cancer is among the most frequent cancers, and tumor progression is greatly impacted by the immune system. Studies have revealed a correlation between the phenotypes of immune cells and the incidence of breast cancer; nevertheless, the causal relationship has yet to be fully elucidated. Hence, we sought to ascertain the causal relationship between immune cell subtypes and breast cancer through the implementation of Mendelian randomization (MR).

methodsMR analysis utilized freely available genetic data to explore the causation link between 731 immune cell phenotypes and the susceptibility to breast cancer, distinguishing between estrogen receptor-positive (ER+) and negative (ER-) subtypes. ER+ patients are sensitive to endocrine drugs, and one more way to treat with endocrine drugs than ER- patients. Inverse variance weighting (IVW), MR-Egger regression, and weighted median methods were employed to evaluate MR. The IVW analysis was used as the primary research methodology.

resultsAmong 731 immune phenotypes, we found that breast cancer was causally related to eight immune phenotypes, six of which were protective against breast cancer, while two were risk factors. After grouping breast cancers based on the ER expression, ER+ breast cancer patients were significantly causally related to seven immune phenotypes, among which three were protective against ER+ breast cancers, and four were risk factors. Furthermore, ER-breast cancer patients were significantly causally related to 10 immune phenotypes, with four being protective against ER-breast cancers and six being risk factors.

conclusionsThis MR Study proved that there is a certain genetic relationship between immune cell phenotype and breast cancer, and the related genes may have certain significance for the treatment and drug development of breast cancer.

Indexed as

Breast cancerCausal inferenceImmune cellMendelian randomization studySingle nucleotide polymorphism

Identifiers

PMID39969618
PMCPMC11839965

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