Dolapchiev Lillian I, Gonzales Kristyn A, Cruz Lorenzo R, Gagea Mihai, Stevenson Heather L, Kwan Suet-Ying, Beretta Laura
Department of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Department of Veterinary Medicine & Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
J Hepatocell Carcinoma. 2024 Oct 3;11:1891-1905. doi: 10.2147/JHC.S485532. eCollection 2024.
Hepatocellular carcinoma (HCC) related to metabolic dysfunction-associated steatotic liver disease (MASLD) is often diagnosed at a late stage, and its incidence is increasing. Predictive biomarkers are therefore needed to identify individuals at high risk of HCC. We aimed to characterize the gut microbiome and hepatic transcriptome associated with HCC development in female mice with hepatocyte-deletion of Pten ( ). These mice present with large variations in HCC development, making them a powerful model for biomarker discovery.
METHODS & RESULTS: Sequencing of stool 16S and hepatic RNA was performed on a first set of mice. Among all liver histology parameters measured, the strongest association with microbiome composition changes was with the number of tumors detected at necropsy, followed by inflammation. The gut microbiome of mice with more than 2 tumors was enriched with and depleted of and . In contrast, hepatic transcriptomic changes were most strongly associated with tumor burden, followed by liver fibrosis. The 840 differentially expressed genes correlating with tumor burden were enriched in leukocyte extravasation and interleukin 10 receptor A (IL10RA) pathways. In addition, the abundance of Spp1-high epithelial cells is correlated with tumor burden. Association between tumor number and depletion of , and between tumor burden and circulating levels of C-X-C motif chemokine ligand 13 (CXCL13) and stem cell factor (SCF), was further validated in an independent set of mice.
We identified microbiome components contributing to liver carcinogenesis by inducing inflammation, and changes in hepatic gene expression and hepatic cells distribution that contribute to tumor growth. Such information can be highly valuable for the development of new prevention strategies as well as of new biomarkers for risk modeling in HCC.
与代谢功能障碍相关脂肪性肝病(MASLD)相关的肝细胞癌(HCC)通常在晚期被诊断出来,且其发病率正在上升。因此,需要预测性生物标志物来识别HCC高危个体。我们旨在对肝细胞特异性缺失Pten的雌性小鼠中与HCC发生相关的肠道微生物群和肝脏转录组进行特征分析。这些小鼠在HCC发生方面存在很大差异,使其成为生物标志物发现的有力模型。
对第一组小鼠进行粪便16S测序和肝脏RNA测序。在所有测量的肝脏组织学参数中,与微生物群组成变化关联最强的是尸检时检测到的肿瘤数量,其次是炎症。有超过2个肿瘤的小鼠肠道微生物群中, 富集,而 和 减少。相比之下,肝脏转录组变化与肿瘤负荷关联最强,其次是肝纤维化。与肿瘤负荷相关的840个差异表达基因在白细胞外渗和白细胞介素10受体A(IL10RA)途径中富集。此外,Spp1高表达上皮细胞的丰度与肿瘤负荷相关。肿瘤数量与 的减少之间以及肿瘤负荷与C-X-C基序趋化因子配体13(CXCL13)和干细胞因子(SCF)循环水平之间的关联在另一组独立小鼠中得到进一步验证。
我们鉴定出通过诱导炎症促进肝癌发生的微生物群成分,以及促进肿瘤生长的肝脏基因表达和肝细胞分布变化。这些信息对于开发新的预防策略以及用于HCC风险建模的新生物标志物具有极高价值。