# 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

**Authors:** Shicui Hong, Miao Yu, Yifeng Zheng, Shengqi Wang, Juping Zhang, Bo Pan, Honglin Situ, Li Guo, Shaowen Zhong, Ying Chen, Yunxi Li, Lingling Yang, Yan Li, Zhiyu Wang

PMC · DOI: 10.1186/s13020-025-01283-y · Chinese Medicine · 2026-01-06

## TL;DR

This study shows that Si–Ni–San, a traditional Chinese medicine, effectively reduces depression in breast cancer patients and may work through gut and immune system changes.

## Contribution

The study provides clinical evidence and multi-omics insights into the efficacy and potential mechanisms of Si–Ni–San for breast cancer-related depression.

## Key findings

- SNS significantly reduced depression scores compared to placebo in breast cancer patients.
- Multi-omics analysis revealed reduced Lactobacillus, lower indole levels, and increased CD8+ T cells during SNS treatment.
- No significant safety concerns were observed with SNS use in the trial.

## Abstract

Breast 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.

A 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.

A 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+ T cell proportions, suggesting their potential involvement in breast cancer-related depression.

SNS is efficacious for relieving depression in breast cancer patients with high safety, and Lactobacillus-Indole-CD8+ T signaling may be involved in its pharmacological mechanisms. Further research is required to refine study designs and substantiate the speculated mechanism.

Trial registration: ChiCTR, ChiCTR2200065009. Registered 25 October 2022.

The online version contains supplementary material available at 10.1186/s13020-025-01283-y.

## Linked entities

- **Diseases:** breast cancer (MONDO:0004989), depression (MONDO:0002050)

## Full-text entities

- **Genes:** CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}
- **Diseases:** Breast cancer (MESH:D001943), Cancer (MESH:D009369), Depression (MESH:D003866)
- **Chemicals:** Indole (MESH:C030374), Traditional (-)
- **Species:** Lactobacillus (genus) [taxon 1578], Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12771921/full.md

## References

1 references — full list in the complete paper: https://tomesphere.com/paper/PMC12771921/full.md

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Source: https://tomesphere.com/paper/PMC12771921