Cancer
Conditions
Keywords
flora, microbiota, tumor, cancer toxin
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.
Interventions
This study observed differences in microbiota among different groups and therefore did not involve intervention.
Sponsors
Xiyuan Hospital of China Academy of Chinese Medical Sciences
Dongzhimen Hospital, Beijing
Beijing Chest Hospital, Capital Medical University
Shanghai University of Traditional Chinese Medicine
Shaanxi Hospital of Traditional Chinese Medicine
Leling Traditional Chinese Medicine Hospital
Xinxiang medical university
Ying Zhang
Study design
Observational model
OTHER
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Inclusion criteria
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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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
| Measure | Time frame | Description |
|---|---|---|
| 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. |
Contacts
Primary ContactYi Xie, PhD
Backup ContactYing Zhang, PhD
Outcome results
None listed