Establishment of Cohort Under the Guidance of the Pathogenesis of Cancer Toxin in Traditional Chinese Medicine
- Conditions
- Cancer
- Interventions
- Other: No intervention was carried out
- Registration Number
- NCT06612216
- Lead Sponsor
- Ying Zhang
- Brief Summary
The study aims to investigate the potential mechanisms by which the interaction between the microbiota and tumors leads to the occurrence and development of cancer by collecting clinical information and biological samples from healthy individuals and cancer patients.
- Detailed Description
Study Design Types: A prospective, multicenter, observational study.
Observation Content:1.Healthy Individuals:General Information (Demographic Data), Traditional Chinese Medicine Physical Quality Scale, Biological Samples (Fecal, Blood, Tongue Coating, Tongue Appearance Photos, Tissues). 2.Malignant Tumor Patients: General Information (Demographic Data, Disease Information, ECOG Performance Status Score, MDASI Anderson Symptom Inventory), Traditional Chinese Medicine Cancer Toxin Syndrome Scale, Traditional Chinese Medicine Physical Quality Scale, Laboratory and Examination Data, Biological Samples (Fecal, Blood, Tongue Coating, Tongue Appearance Photos, Tissues).
Observation Time Points:1.Healthy Individuals: At the time of enrollment. 2.Malignant Tumor Patients: At the time of enrollment, 1 month after enrollment, every 3 months thereafter until tumor progression.
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- All
- Target Recruitment
- 500
Inclusion criteria for healthy individuals:
- Age ≥ 18 years old;
- Informed consent and signed informed consent form.
Inclusion criteria for patients with malignant tumors:
- Patients with malignant tumors diagnosed by pathology or cytology;
- Advanced stage patients who have not received modern medical treatment in the past, or early to mid-stage patients who have completed postoperative radiochemotherapy for ≥ 1 month;
- Age ≥ 18 years old;
- Informed consent and signed informed consent form.
Exclusion criteria for healthy individuals:
- Patients with malignant tumors diagnosed by pathology or cytology;
- Those who have taken any antibiotics/probiotics within 1 month before biological sample collection;
- Those with other immune or infectious diseases;
- Those with severe damage to the heart, liver, lungs, or kidney functions;
- Pregnant women, or those with mental illnesses such as depression or schizophrenia;
- Those deemed ineligible for the study by the researcher.
Exclusion criteria for patients with malignant tumors:
- Patients with multiple primary cancers;
- Those who have taken any antibiotics/probiotics within 1 month before biological sample collection;
- Those with other immune or infectious diseases;
- Those with severe damage to the heart, liver, lungs, or kidney functions;
- Pregnant women, or those with mental illnesses such as depression or schizophrenia;
- Those deemed ineligible for the study by the researcher.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description healthy individuals and cancer patients No intervention was carried out Comparing the microbiota characteristics of healthy individuals and cancer patients, revealing the differences in microbiota between healthy individuals and cancer patients. Patients with different traditional Chinese medicine cancer toxicity syndrome types No intervention was carried out According to the classification of traditional Chinese medicine cancer toxin syndrome types, compare the differences in microbiota between the heat toxin syndrome group, dampness toxin syndrome group, stasis toxin syndrome group, phlegm toxin syndrome group, wind toxin syndrome group, and cold toxin syndrome group in cancer patients, and explore the influence of different cancer toxin syndrome types on microbiota composition. Patients with different traditional Chinese medicine constitutions No intervention was carried out According to the traditional Chinese medicine constitution classification, compare the differences in microbiota among tumor patients with qi stagnation constitution group, phlegm dampness constitution group, damp heat constitution group, blood stasis constitution group, qi deficiency constitution group, yang deficiency constitution group, yin deficiency constitution group, characteristic constitution group, and peaceful constitution group, and explore the influence of different constitution types on the microbiota composition of tumor patients. Patients with different tumor burden No intervention was carried out Divide tumor patients into tumor bearing group and tumor free group, and explore their microbiota characteristics and differential patterns. Patients with different symptom burdens No intervention was carried out According to the MDASI Anderson Symptom Scale, compare the differences in microbiota between individuals with mild and severe symptom burdens, and explore the impact of different symptom burdens on the microbiota composition of cancer patients. Patients with different treatment and outcome outcomes No intervention was carried out Based on the application of different treatment methods and the resulting outcomes in cancer patients, compare the characteristic differences of microbiota between groups and explore the differential expression of microbiota.
- Primary Outcome Measures
Name Time Method 16S rDNA 2 years (from enrollment to disease progression). 16S rDNA detection is a commonly used method in microbial molecular biology for identification and classification of bacteria. It can identify and classify bacteria.
- Secondary Outcome Measures
Name Time Method microbiota metagenomics 2 years (from enrollment to disease progression). Metagenomic Sequencing is a technique that studies the total genetic material of all microorganisms in environmental samples. This method does not rely on traditional microbial isolation and cultivation, but instead directly extracts total DNA from environmental samples to obtain new functional genes and bioactive substances by constructing and screening metagenomic libraries.
Untargeted metabolomics 2 years (from enrollment to disease progression). Untargeted Metabolomics is a research method that does not rely on prior knowledge of specific metabolites. Instead, it explores the overall patterns and changes of metabolites by analyzing all detectable metabolites in biological samples.