Evidence map›Paper›PMID 41491244›Full record

ArticleChinese medicine2026

Clinical efficacy and multi-omics analysis of Si-Ni-San for depression treatment in breast cancer patients: a randomized, double-blind, placebo-controlled, crossover trial.

Shicui Hong, Miao Yu, Yifeng Zheng, Shengqi Wang, Juping Zhang, Bo Pan, Honglin Situ, Li Guo, Shaowen Zhong, Ying Chen and 4 more

Abstract read
In one paragraph

Article in Chinese medicine, 2026. 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. 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

14 authors.

Shicui HongState Key Laboratory of Traditional Chinese Medicine Syndrome, Chinese Medicine Guangdong Laboratory, Guangzhou University of Chinese Medicine, Guangzhou, China.
Miao YuBreast Disease Specialist Hospital of Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yifeng ZhengState Key Laboratory of Traditional Chinese Medicine Syndrome, Chinese Medicine Guangdong Laboratory, Guangzhou University of Chinese Medicine, Guangzhou, China.
Shengqi WangState Key Laboratory of Traditional Chinese Medicine Syndrome, Chinese Medicine Guangdong Laboratory, Guangzhou University of Chinese Medicine, Guangzhou, China.
Juping ZhangState Key Laboratory of Traditional Chinese Medicine Syndrome, Chinese Medicine Guangdong Laboratory, Guangzhou University of Chinese Medicine, Guangzhou, China.
Bo PanState Key Laboratory of Traditional Chinese Medicine Syndrome, Chinese Medicine Guangdong Laboratory, Guangzhou University of Chinese Medicine, Guangzhou, China.
Honglin SituBreast Disease Specialist Hospital of Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Li GuoBreast Disease Specialist Hospital of Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Shaowen ZhongBreast Disease Specialist Hospital of Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Ying ChenBreast Disease Specialist Hospital of Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yunxi LiPsychological Sleeping Department, Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Lingling YangPsychological Sleeping Department, Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Yan LiPsychological Sleeping Department, Guangdong Provincial Hospital of Chinese Medicine, The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Zhiyu WangState Key Laboratory of Traditional Chinese Medicine Syndrome, Chinese Medicine Guangdong Laboratory, Guangzhou University of Chinese Medicine, Guangzhou, China. wangzhiyu@gzucm.edu.cn.

Funding

National Natural Science Foundation of China 82104869National Natural Science Foundation of China 82374446
6 · The paper itself

Abstract

backgroundBreast cancer is a leading malignancy and a significant cause of mortality in women. The coexistence of depression has been associated with a more aggressive breast cancer progression. Si-Ni-San (SNS), a Traditional Chinese medicine (TCM) formula, has been traditionally used for the treatment of depression. This clinical trial aimed to evaluate the effectiveness and safety of SNS in relieving depression in breast cancer patients, and explore its molecular mechanism.

methodsA randomized, double-blind, placebo-controlled crossover trial was conducted in breast cancer patients with mild to moderate depression (MMD). Patients were asked to participate over a four-week SNS treatment and a four-week placebo intervention in randomized order, with a two-week washout period. The primary endpoint was the change of Hamilton Depression Scale-24 (HAMD-24) score. Secondary endpoints were the changes of Functional Assessment of Cancer Therapy-Breast (FACT-B) and syndrome score of Traditional Chinese medicine (TCMSS). Liver function test (LFT) and mental status examination (MSE) were conducted to ensure the safety. Gut microbiota, serum metabolomics, cytokine profiling and T lymphocyte subsets were tested to explore the molecular mechanisms.

resultsA total of 53 patients completed the trial. Compared to placebo intervention, SNS treatment significantly reduced HAMD-24 score (4.46 ± 4.403 (95% CI - 5.69, - 3.24) vs. 0.66 ± 4.463 (95% CI - 1.89, 0.57), P < 0.001), accompanied by the improved FACT-B scores (7.22 ± 13.77 (95% CI 3.66, 10.77) vs. - 0.78 ± 15.32 (95% CI - 4.74, 3.17), P = 0.09) and TCMSS scores (- 12.71 ± 12.88 (95% CI - 16.30, - 9.13) vs. - 5.60 ± 4.69 (95% CI - 9.42, - 1.79), P = 0.01). No obvious risk in LFT, MSE and fewer adverse events were observed. Exploratory multi-omics analyses revealed three key phenomenon including specific reduction in Lactobacillus abundance, decreased serum indole levels, and increased CD8

conclusionsSNS is efficacious for relieving depression in breast cancer patients with high safety, and Lactobacillus-Indole-CD8

trial registrationChiCTR, ChiCTR2200065009. Registered 25 October 2022.

Indexed as

Breast cancerClinical efficacyDepressionMulti-omics analysisSi–Ni–SanTraditional Chinese medicine

Identifiers

PMID41491244
PMCPMC12771921

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