Evidence map›Paper›PMID 42184719›Full record

ArticleTranslational oncology2026

Integrative multi-omics and network analysis identify potential targets of Chaihu Shugan Xiaozheng Formula in breast cancer.

Tianyu Luo, Mengyao Xue, Yi Du, Huiying Chen, Ying Sun, Haidong Sun

Abstract read
In one paragraph

Article in Translational oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Tianyu LuoShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China. Electronic address: tyler23@126.com.
Mengyao XueShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China; Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yi DuShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China; Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Huiying ChenShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China.
Ying SunShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China. Electronic address: sunny910523@163.com.
Haidong SunShenzhen Hospital (Futian) of Guangzhou University of Chinese Medicine, Shenzhen, Guangdong, China. Electronic address: shd02@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BC) is linked to emotional stress and neuroendocrine-immune dysregulation. Chaihu Shugan Xiaozheng Formula (CSXF) shows clinical efficacy in BC with depressive symptoms, yet its mechanisms remain unclear. This study aims to investigate the therapeutic effects of CSXF in modulating neuroendocrine-immune networks and tumor-related pathways in BC.

methodsThe bioactive compounds of CSXF were screened using the TCMSP database. Target genes that intersected with differentially expressed genes associated with BC from the TCGA-BRCA dataset were analyzed. Prognostic signatures were constructed through Cox and LASSO regression models. Multi-omics profiling included immune infiltration, pathway enrichment, molecular docking, and RT-qPCR validation in BC tissue samples.

resultsFive core targets formed a prognostic model with high predictive accuracy. High-risk patients exhibited elevated mortality independent of age/NM stage. Oxidative phosphorylation activation and myeloid-derived suppressor cell infiltration correlated with CD14 overexpression in high-risk groups. RT-qPCR confirmed tumor-specific downregulation of CD14, PPARG, and CHRM1 in BC tissues.

conclusionsCSXF treats BC via multi-target modulation of neuroendocrine-immune and tumor pathways, providing prognostic biomarkers and mechanistic insights.

Indexed as

Breast cancerChaihu Shugan Xiaozheng FormulaMulti-omicsNetwork analysisPrognostic model

Identifiers

PMID42184719
PMCPMC13223717

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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.