Advanced Hepatocellular Carcinoma Clinical Trial
Official title:
To Explore the Diversity of Intestinal Flora in Patients With Advanced Hepatocellular Carcinoma Receiving Anti-PD-1 Combined With Targeted Drug Therapy and the Correlation Between Metabolites and Therapeutic Effect:A Multi-Center Study
The study is to explore the correlation between intestinal flora diversity and meta bolites in patients with advanced lver cancer rceiving Anti-PD-1 combined target-ed drug therapy,so that to get the analysis of intestinal flora of PD-1 inhibitors in liver cancer.
The combination of PD-1/PD-L1 inhibitors and targeted drugs as a promising strategy for the
treatment of hepatocellular carcinoma has a breakthrough significance for the treatment of
some advanced and refractory tumors.However,studies have shown that intestinal flora
diversity indicates a good prognosis of PD-1/PD-L1 inhibitors in the treatment of non-small
cell lung cancer, the intestinal flora analysis of PD-1 inhibitors in hepatocellular
carcinoma is still a new field to be explored.
This study is to select patients who meet the criteria of entry and discharge, sign informed
consent, obtain patients'clinical data, pathological and case data, and enter the database.
Before the treatment of PD-1 (no more than 24 hours), during the treatment of PD-1 (every
time before treatment, three weeks, a total of 11 follow-up visits), at the end of treatment,
fecal samples were collected in sterile containers for 5-10g, and feces were stored at 4
degrees C, frozen at - 80 degrees C within 24 hours; the response to treatment was evaluated
every 6 weeks, and the disease was first evaluated clinically. The patients were divided into
response group (R) (partial response or stable condition) or non-response group (NR) (disease
progression) according to RECIST 1.1 evaluation criteria. Subgroup had high diversity of
bacteria and low diversity of bacteria, and were observed continuously until the end of
treatment. The bacterial ribosomal DNA was extracted, metabolites were detected and flow
cytometry was used to analyze the data. The baseline intestinal microflora diversity,
microflora diversity mapping, continuous Shannon index curve change mapping were compared
between groups and within groups, and correlation validation was carried out.
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