Intratumoral microbiome composition and its role in tumor recurrence in primary liver cancer
Wen‐Chun Liu, Hsin‐Yu Kuo, Hung‐Wen Tsai, Yih‐Jyh Lin, Jhen‐Wei Ruan, Ching‐Chi Lee, Hung-Yu Sun, I‐Chin Wu, Ting‐Tsung Chang
Abstract
BACKGROUND: The human microbiome is increasingly recognized as a factor in cancer development, though its role in primary liver cancer (PLC) remains unclear. This retrospective cohort study examines tissue-specific microbiota differences between hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), and explores their association with tumor recurrence in PLC. METHODS: Clinical data from 116 patients (85 HCC and 31 age-matched CCA) were analyzed. Fresh frozen samples underwent RNAscope™ ISH assay for microbial RNA detection, while the MiSeq platform targeted 16 S ribosomal RNA. Microbiome functional pathways were explored with Tax4Fun2, and predictors of recurrence were identified through logistic regression analysis. RESULTS: Microbial RNA was detected within liver sinusoids, the basal lamina of intrahepatic bile ducts, and hepatocyte cytosol. 16 S ribosomal RNA analysis revealed differences in microbiome composition, including a distinct Firmicutes/Bacteroidetes ratio between CCA and HCC patients. Specific functional pathways were differentially enriched between the two groups. LEfSe and logistic regression analyses identified Aquabacterium spp. as a potential marker for HCC recurrence (OR, 14.77; 95 % CI, 1.07-203.94; p = 0.044). Increased abundances of Brevundimonas spp. (OR, 3.1 E+17; 95 % CI, 4.3 E+3-2.2 E+31; p = 0.013), Novosphingobium spp. (OR, 3.5 E+20; 95 % CI, 4.4 E+5-2.8 E+35; p = 0.007), and Pelomonas spp. (OR, 3.3 E+21; 95 % CI, 3.0 E+8-3.5 E+34; p = 0.001), along with decreased Staphylococcus spp. (OR 0.00; 95 % CI, 0.00-0.06; p = 0.003), were independent predictors of CCA occurrence. CONCLUSION: This study reveals that intratumoral microbiota help distinguish PLC subtypes and are associated with recurrence, identifying Aquabacterium as a potential marker for HCC recurrence and microbiome-based management.