Gut Microbiota and Hepatocellular Carcinoma
Author Information
Author(s): Hu Bingren, Yang Yi, Yao Jiangqiao, Lin Ganglian, He Qikuan, Bo Zhiyuan, Zhang Zhewei, Li Anlvna, Wang Yi, Chen Gang, Shan Yunfeng
Primary Institution: The First Affiliated Hospital of Wenzhou Medical University
Hypothesis
The study aims to evaluate the correlation between gut microbiome and HBV-related HCC and to introduce machine learning signatures based on gut microbes to predict the risk of HCC.
Conclusion
Gut microbes are important factors between HBV and HCC and can serve as valuable biomarkers for the pathogenesis of HBV-related HCC.
Supporting Evidence
- Patients with HBV infection were identified as having a significant association with HCC occurrence.
- Machine learning models based on gut microbiota showed AUCs ranging from 0.821 to 0.898.
- Bacteroidia and Bacteroidales were found to mediate the relationship between HBV and HCC.
Takeaway
This study found that tiny living things in our gut can help us understand how a virus can lead to liver cancer, and they might help doctors predict who might get sick.
Methodology
The study involved 640 patients with chronic liver diseases or HCC, who provided fecal samples for 16S rRNA gene sequencing, and used logistic regression and machine learning methods to analyze the data.
Potential Biases
Potential biases may arise from the single-center design and the exclusion of patients with other malignant tumors.
Limitations
The study was conducted at a single center, and the sample size may limit the generalizability of the results.
Participant Demographics
Patients aged 18 to 80 years with chronic liver diseases or HCC.
Statistical Information
P-Value
p<0.001
Confidence Interval
[0.0002, 0.0400]
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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