Evidence map›Paper›PMID 40486580›Full record

ArticleAnnals of medicine and surgery (2012)2025

Analysis of the pharmacological mechanisms of Xiaoyao pill in breast cancer treatment.

Jie Chen, Xinyu Meng, Yanyan Shen, Adheesh Bhandari, Rutian Hao

Abstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 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
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jie ChenOperating Room, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Xinyu MengDepartment of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Yanyan ShenDepartment of Breast Surgery, The Second Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Adheesh BhandariDepartment of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Rutian HaoDepartment of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.ORCID https://orcid.org/0000-0001-6567-7862

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The Xiaoyao pill, a Chinese patent medicine initially designed for treating breast hyperplasia, has emerged as a potential therapy for inhibiting breast cancer. Method: Research has delved into its mechanisms, utilizing Disease Oncology, Gene Oncology, and Kyoto Encyclopedia of Genes and Genomes analyses. Correlations between Xiaoyao pill's target genes and lipid metabolism were identified. Comparative gene set enrichment analysis between normal and breast cancer (BRCA) tissues showed down-regulation of lipid metabolism-related genes in BRCA, suggesting their role in cancer development. Weighted gene co-expression analysis revealed a gene module associated with both normal and malignant breast tissue, impacting lipid metabolism significantly. Result: Protein-protein interaction network analysis highlighted expression differences in 24 common genes shared between Xiaoyao pill and BRCA. Receiver operating characteristic curve analysis indicated Xiaoyao pill's potential diagnostic utility for BRCA. Target genes were detectable in immune cell types, particularly T cells, suggesting a role in tumor immunity modulation. Conclusion: In conclusion, the Xiaoyao pill holds promise in treating BRCA by down-regulating lipid metabolism pathways and potentially influencing tumor immunity, presenting a multifaceted approach to breast cancer management.

Indexed as

BRCAChinese medicinemechanismpharmacologytreatmentXiaoyao

Identifiers

PMID40486580
PMCPMC12140689

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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.