Evidence map›Paper›PMID 40750898›Full record

ReviewMolecular cancer2025

Traditional Chinese medicine in the treatment of breast Cancer.

Peng Song, Tongtong Liu, Yinfang Zhang, Tingting Shao, Rongkun Li, Chaoxia An, Lu-Qi Cao, Zhe-Sheng Chen, Wenjing Guo, Dongzhu Duan

Abstract readReview
In one paragraph

Review in Molecular cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

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

  1. Pooled it
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  3. Article
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  9. Integrative analysis ofFrontiers in pharmacology · 2026
    Article
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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.

Peng Song *Translational Center of Experiments and Achievements, Affiliated Hospital of Gansu University of Chinese Medicine, Engineering Research Center for Traditional Chinese Medicine Processing Technology and Quality Control of Gansu Province, Lanzhou, Gansu, 730000, China.
Tongtong Liu *Translational Center of Experiments and Achievements, Affiliated Hospital of Gansu University of Chinese Medicine, Engineering Research Center for Traditional Chinese Medicine Processing Technology and Quality Control of Gansu Province, Lanzhou, Gansu, 730000, China.
Yinfang Zhang *Translational Center of Experiments and Achievements, Affiliated Hospital of Gansu University of Chinese Medicine, Engineering Research Center for Traditional Chinese Medicine Processing Technology and Quality Control of Gansu Province, Lanzhou, Gansu, 730000, China.
Tingting Shao *Translational Center of Experiments and Achievements, Affiliated Hospital of Gansu University of Chinese Medicine, Engineering Research Center for Traditional Chinese Medicine Processing Technology and Quality Control of Gansu Province, Lanzhou, Gansu, 730000, China.
Rongkun LiTranslational Center of Experiments and Achievements, Affiliated Hospital of Gansu University of Chinese Medicine, Engineering Research Center for Traditional Chinese Medicine Processing Technology and Quality Control of Gansu Province, Lanzhou, Gansu, 730000, China.
Chaoxia AnTranslational Center of Experiments and Achievements, Affiliated Hospital of Gansu University of Chinese Medicine, Engineering Research Center for Traditional Chinese Medicine Processing Technology and Quality Control of Gansu Province, Lanzhou, Gansu, 730000, China.
Lu-Qi CaoCollege of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA.
Zhe-Sheng ChenCollege of Pharmacy and Health Sciences, St. John's University, Queens, NY, 11439, USA. chenz@stjohns.edu.
Wenjing GuoGansu University of Chinese Medicine, Lanzhou, Gansu, 730000, China. guowj15@163.com.
Dongzhu DuanShaanxi Key Laboratory of Phytochemistry and College of Chemistry and Chemical Engineering, Baoji University of Arts and Sciences, Baoji, Shaanxi, 721013, China. duandongzhu@126.com.

Funding

National Natural Science Foundation of China 82260859 and 81803779
6 · The paper itself

Abstract

Breast cancer (BC) is the most commonly diagnosed malignancy among women globally. While treatments such as chemotherapy and endocrine therapy have contributed to improving survival rates, there remains a critical need for more effective therapeutic options. Traditional Chinese Medicine (TCM), with a history spanning thousands of years, has long been utilized in the management of BC. This includes a wide range of practices, such as the use of traditional compound prescriptions, Chinese medicine monomers and extracts, acupuncture, moxibustion, and mind-body therapies. This review summarizes the brief history and experience of TCM in treating BC refer to numerous ancient Chinese medical texts, and explores the role of various TCM approaches in the treatment of BC, providing an in-depth analysis of their potential benefits. Additionally, it addresses the current limitations and challenges in researching TCM's effectiveness for BC. Through this review, we aim to offer valuable insights into how TCM can complement conventional therapies and enhance outcomes for patients with BC.

Indexed as

Breast NeoplasmsDrugs, Chinese HerbalMedicine, Chinese TraditionalFemaleHumansDrugs, Chinese HerbalBreast cancerClinical applicationCombination therapyMechanisms of bioactive ingredientsTraditional Chinese medicine

Identifiers

PMID40750898
PMCPMC12315327

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.