Department of Hepatobiliary and Pancreatic Surgery, Shandong Cancer Hospital and Institute, Shandong Fist Medical University and Shandong Academy of Medical Sciences, Jinan City, Shandong Province, China.
J Cancer Res Ther. 2023 Aug;19(4):881-891. doi: 10.4103/jcrt.jcrt_139_22.
This study aimed to investigate the differences in the composition of microbial communities and related functions in hepatocellular carcinoma (HCC) tumours and matched normal tissues were investigated.
Tumour tissues and matched normal samples were collected from 30 HCC patients. Genomic DNA was collected and subjected to sequencing of the V3 + V4 region of the 16S rRNA gene. The microbial community profiles and metabolic pathway predictions of the different groups were characterized and compared.
Tumour and adjacent tissues had similar microbiota compositions but differed in abundance. Proteobacteria and Firmicutes abundance decreased and Cyanobacteria and Acidobacteria abundance increased in the tumour tissue. The microbial community diversity was higher in the tumour tissues than in adjacent samples, with potentially more dominant taxa in the adjacent tissues, including Firmicutes, Proteobacteria, and Actinobacteria. Acidobacteria, Cyanobacteria, and Chloroflexi were the dominant microbes in tumour tissues. A total of 46 metabolic pathways were identified. Global and overview maps were the most abundant pathways, followed by carbohydrate metabolism, energy metabolism, metabolism of cofactors and vitamins, and membrane transport. The top 50 most highly correlated microbial genera included Klebsiella, Rhodococcus, Ochrobactrum, and Azoarcus. Fonticella, Haloimpatiens, Brevibacterium, and Acidothermus were positively correlated with other microbial genera. The microbiota of adjacent tissues was more robust in the network analysis.
This study revealed differences in microbial composition between HCC tumour tissues and normal tissues and differences in microbial abundance associated with different metabolic functions. Cyanobacteria, Proteobacteria, and Actinobacteria may play important roles in HCC.
本研究旨在探讨肝细胞癌（HCC）肿瘤组织与匹配的正常组织中微生物群落组成及相关功能的差异。
收集了 30 例 HCC 患者的肿瘤组织和匹配的正常样本。提取基因组 DNA，进行 16S rRNA 基因 V3+V4 区测序。对不同组的微生物群落谱和代谢途径预测进行了特征化和比较。
肿瘤和相邻组织具有相似的微生物群落组成，但丰度不同。肿瘤组织中变形菌门和厚壁菌门的丰度降低，蓝细菌门和酸杆菌门的丰度增加。肿瘤组织中的微生物群落多样性高于相邻样本，相邻组织中可能具有更多的优势菌群，包括厚壁菌门、变形菌门和放线菌门。酸杆菌门、蓝细菌门和绿弯菌门是肿瘤组织中的主要微生物。共鉴定出 46 条代谢途径。全局和概览图谱是最丰富的途径，其次是碳水化合物代谢、能量代谢、辅因子和维生素代谢以及膜转运。前 50 个相关性最高的微生物属包括克雷伯氏菌属、红球菌属、弧菌属和固氮菌属。Fonticella、Haloimpatiens、Brevibacterium 和 Acidothermus 与其他微生物属呈正相关。网络分析中相邻组织的微生物群更为稳健。
本研究揭示了 HCC 肿瘤组织与正常组织之间微生物组成的差异以及与不同代谢功能相关的微生物丰度的差异。蓝细菌门、变形菌门和放线菌门可能在 HCC 中发挥重要作用。
