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.
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.
Study Type
OBSERVATIONAL
Enrollment
500
This study observed differences in microbiota among different groups and therefore did not involve intervention.
16S rDNA
16S rDNA detection is a commonly used method in microbial molecular biology for identification and classification of bacteria. It can identify and classify bacteria.
Time frame: 2 years (from enrollment to disease progression).
microbiota metagenomics
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.
Time frame: 2 years (from enrollment to disease progression).
Untargeted metabolomics
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.
Time frame: 2 years (from enrollment to disease progression).
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.