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RecruitingNCT06039644Updated Mar 6, 2026

To Evaluate the Clinical Efficacy of Probiotics in Patients With the Breast Cancer

An interventional study of Probiotic and Placebo in Breast Cancer, sponsored by GenMont Biotech Incorporation. Recruiting at 1 site in Taiwan. Open to participants aged 20 Years to 80 Years. Per ClinicalTrials.gov, last updated 2026-03-06.

Sponsored by GenMont Biotech Incorporation · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
100
Allocation
Randomized
Ages
20 Years to 80 Years
Sex
All
01

Study summary

Chemotherapy-associated side-effects would affect therapeutic effect, quality of life, and cause permanent harm to breast cancer patients. This study is designed to explore after consumption of probiotics of lactobacillus composite strain powder sachets for 6 months in breast cancer chemotherapy, and whether the improvement of meliorate the side effects, further assists patients completing the chemotherapy.

Read the detailed description

In 2020, the incidence rate of women's breast cancer in Taiwan was up to 82.1% . The death rate increased to 16%; in 2021, the ranking rose to no.3, and the death rate grew up to 24.6%. In the decades, breast cancer gradually becomes the dominant malignant women's cancer in Taiwan. Besides the lumpectomy, chemotherapy is one of the dominant and important treatments for breast cancer. Beyond the effects of chemotherapy, several side effects rise up. The most common chemotherapy are anthracyclin drugs (doxorubicin and epirubicin) and taxane (docetaxel and paclitaxel ). There are common side effects including neutropenia, hair loss, vomiting, diarrhea, stomatitis, mucositis, peripheral neuropathy, dermatitis, nephrotoxicity, and hepatotoxicity. Currently, most treatments for chemotherapy-induced side effects are symptomatic treatment, but there is no good solution to prevent it.

02

Conditions studied

  • Breast Cancer

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Keywords

  • probiotics
  • chemotherapy side-effects
  • Breast carcinoma
  • gut microbiot
  • Lactobacillus reuteri
  • Lactobacillus plantarum
  • Lactobacillus paracasei
03

Who can participate

Ages eligible
20 Years to 80 Years
Sexes eligible
All
Accepts healthy volunteers
No

Inclusion criteria

  • Stage I-III breast patients using anthracycline-based and taxane-based chemotherapy (not limited before or after chemotherapy/surgery)
  • BMI > 18 kg/m\^2
  • Age between 20 and 80 years old
  • Patients judged by physicians to participate in this trial and who are willing

Exclusion criteria

Exclusion Criteria:

  • Pregnant or lactating female patients
  • Patients with bariatric surgery, gastrointestinal resections, Crohn's disease, celiac disease
  • BMI \< 18 kg/m\^2
  • Patient who have severe allergy to soybeans or peanuts
  • Those who are under 20 years old or over 80 years old
04

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Randomized
Intervention model
Parallel assignment
Masking
Double (Participant, Investigator)
Enrollment
100 participants (estimated)

Study arms

  • Experimental
    Probiotic group

    Subjects received two probiotic sachets per day

    Dietary Supplement: Probiotic

  • Placebo comparator
    Placebo group

    Subjects received two placebo sachets per day

    Other: Placebo

Interventions

  • Dietary supplementProbiotic

    Three-strain probiotic supplement includes Lactobacillus reuteri GMNL-89 (alive), Lactobacillus plantarum GMNL-141 (alive) and Lactobacillus paracasei GMNL-133 (alive).

    Also known as: Test group

  • OtherPlacebo

    Same additives to Probiotic group but replace probiotics with corn starch and Maltodextrin.

    Also known as: Control group

05

What researchers measure

Primary outcomes

  1. Change from 12 weeks in the chemotherapy associated side-effects questionnaire at 24 weeks

    The questionnaire will finished to record the side effects, including nausea, vomiting, diarrhea, stomatitis, peripheral neuropathy, skin rashes, and hand-food syndrome before and after the treatment.

    Time frame: 24 weeks

Secondary outcomes

  1. Change from 12 weeks in self-record of the FACT-G questionnaire (The Functional Assessment of Cancer Therapy - General; Version 4) at 24 weeks

    The FACT-G questionnaire will record the quality of life by subjects at 12-weeks and-24 weeks. There are 4 domains of quality of life will be measured, including physical well-being, social/family well-being, emotional well-being, functional well-being. All domains will sum as total score of 108, and each domain will also evaluated.

    Time frame: 24 weeks

  2. Variability in BMI (Body Mass Index)

    BMI will calculated with weight and height combined in kg/m\^2. Measured every visit (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  3. Change from baseline in levels of hs-CRP (high-sensitivity C-Reactive Protein) in mg/dL at 12 weeks

    Blood samples will collected to examine the variation of hs-CRP from baseline at 12 weeks.

    Time frame: 12 weeks

  4. Change from baseline in levels of hs-CRP (high-sensitivity C-Reactive Protein) in mg/dL at 24 weeks

    Blood samples will collected to examine the variation of hs-CRP from baseline at 24 weeks.

    Time frame: 24 weeks

  5. Change from baseline in levels of IL-6 (Interleukin-6) in pg/mL at 12 weeks

    Blood samples will collected to examine the variation of IL-6 from baseline at 12 weeks.

    Time frame: 12 weeks

  6. Change from baseline in levels of IL-6 (Interleukin-6) in pg/mL at 24 weeks

    Blood samples will collected to examine the variation of IL-6 from baseline at 24 weeks.

    Time frame: 24 weeks

  7. Change from baseline in levels of IL-10 (Interleukin-10) in pg/mL at 12 weeks

    Blood samples will collected to examine the variation of IL-10 from baseline at 12 weeks.

    Time frame: 12 weeks

  8. Change from baseline in levels of IL-10 (Interleukin-10) in pg/mL at 24 weeks

    Blood samples will collected to examine the variation of IL-10 from baseline at 24 weeks.

    Time frame: 24 weeks

  9. Change from baseline in levels of TNF-α (Tumor Necrosis Factor-α) in pg/mL at 12 weeks

    Blood samples will collected to examine the variation of TNF-α from baseline at 12 weeks.

    Time frame: 12 weeks

  10. Change from baseline in levels of TNF-α (Tumor Necrosis Factor-α) in pg/mL at 24 weeks

    Blood samples will collected to examine the variation of TNF-α from baseline at 24 weeks.

    Time frame: 24 weeks

  11. Change from baseline in gut microbiome at 12 weeks

    Fecal sample will collected to extract DNA from the intestinal microbiota to examine the variations of gut microbiome from baseline at 12 weeks by NGS (Next Generation Sequencing) analysis.

    Time frame: 12 weeks

  12. Change from baseline in gut microbiome at 24 weeks

    Fecal sample will collected to extract DNA from the intestinal microbiota to examine the variations of gut microbiome from baseline at 24 weeks by NGS (Next Generation Sequencing) analysis.

    Time frame: 24 weeks

  13. Variability in levels of ALT (Alanine Aminotransferase) in IU/L

    ALT levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  14. Variability in levels of AST (Aspartate Aminotransferase) in IU/L

    AST levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  15. Variability in levels of Creatinine in mg/dL

    Creatinine levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  16. Variability in levels of Hb (Hemoglobin) in g/dL

    Hb levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  17. Variability in levels of RBC (Red Blood Cell count) in 10^6/μL

    RBC levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  18. Variability in levels of Ht (Hematocrite) in %

    Ht levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  19. Variability in levels of WBC(White Blood Cell count) in 10^3/μL

    WBC levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  20. Variability in levels of MCV (Mean Corpuscular Volume) in fL

    MCV levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  21. Variability in levels of MCH (Mean Corpuscular Haemoglobin) in Pg

    MCH levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  22. Variability in levels of MCHC (Mean Corpuscular Haemoglobin Concentration) in g/dL

    MCHC levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

  23. Variability in levels of ANC (Absolute Neutrophil Count) in mm^3

    Total neutrophils and WBC collected from routine medical records at each visit to calculate ANC levels. (week 0. 3. 6. 9. 12. 15. 18. 21. 24) ANC is calculated as 10 x WBC count in 1000s x (%Segment neutrophils + % bands neutrophils).

    Time frame: 24 weeks

  24. Variability in levels of platelet in 10^3/μL

    Platelet levels will obtained from routine medical records every visit. (week 0. 3. 6. 9. 12. 15. 18. 21. 24)

    Time frame: 24 weeks

06

Study locations

1 of 1 sites recruiting
  • Mackay Memorial Hospital
    Taipei, Taiwan
    • Po-Sheng Yang, MD, PhD · Contact
    Recruiting
07

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

08

Registry details

Key details

Study ID
NCT06039644
Lead sponsor
GenMont Biotech Incorporation
Collaborators
Mackay Memorial Hospital
Responsible party
Sponsor
First posted
Sep 15, 2023
Start date
Apr 8, 2024
Primary completion
Dec 31, 2026 (estimated)
Completion
Dec 31, 2026 (estimated)
Last update
Mar 6, 2026

Study contacts

Fang-Kuei Lin, Master
Contact
meitung@genmont.com.tw
+886-6-505-2151 ext. 326
Wan-Hua Tsai, PhD
Contact
twh@genmont.com.tw
+886-6-505-2151 ext. 322
Po-Sheng Yang, MD, PhD
principal investigator · Mackay Memorial Hospital

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
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