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整合微生物组-代谢组分析揭示肝细胞癌早期复发的预测特征。

Integrated microbiome-metabolome profiling unveils a predictive signature for early recurrence in hepatocellular carcinoma.

作者信息

Chen Qiqi, Wang Yi, Wu Daoyuan, Zhang He, Xia Qingxin, Qu Dingding

机构信息

Henan Medical Key Laboratory of Tumor Pathology and Artificial Intelligence Diagnosis, Zhengzhou Key Laboratory of Accurate Pathological Diagnosis of Intractable Tumors, Henan Engineering Research Center of Pathological Diagnostic Antibody, Department of Pathology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.

出版信息

Front Microbiol. 2025 Sep 2;16:1653249. doi: 10.3389/fmicb.2025.1653249. eCollection 2025.

Abstract

Hepatocellular carcinoma (HCC) exhibits high recurrence rates post-resection, yet predictive biomarkers remain elusive. Emerging evidence implicates intratumoral microbiota in cancer progression, but its role in HCC recurrence is unexplored. Here, we characterized microbial and metabolic profiles in 90 HCC patients [49 with early recurrence (RFS ≤ 2 years), 41 non-recurrent controls] using 16S rRNA sequencing and LC-MS metabolomics. Recurrent tumors showed reduced microbial diversity (Shannon index,  < 0.05) and distinct compositional shifts, including enrichment of Proteobacteria (LEfSe LDA > 4) and depletion of commensals like Akkermansia. A 20-microbial-genus signature predicted recurrence (AUC = 0.81, 95% CI: 0.72-0.91), while a 20-metabolite panel (e.g., resolvin D5, -glutamylthreonine) achieved superior accuracy (AUC = 0.958, CI: 0.950-0.966). Functional analyses linked recurrence-associated microbiota with disrupted lipid/amino acid metabolism and pro-inflammatory pathways (KEGG,  < 0.01). Microbial-metabolite correlation networks revealed strong associations between dysbiotic taxa (e.g., Cyanobacteria) and immunomodulatory metabolites (* > 0.6,  < 0.05). This study identifies intra-tumoral microbiome-metabolome signatures as novel biomarkers for HCC recurrence, offering mechanistic insights into microbial regulation of the tumor microenvironment and clinical tools for post-surgical risk stratification.

摘要

肝细胞癌(HCC)切除术后复发率高,但预测性生物标志物仍难以捉摸。新出现的证据表明肿瘤内微生物群与癌症进展有关,但其在HCC复发中的作用尚未得到探索。在这里,我们使用16S rRNA测序和液相色谱-质谱代谢组学对90例HCC患者[49例早期复发(无复发生存期≤2年),41例无复发对照]的微生物和代谢谱进行了表征。复发肿瘤显示微生物多样性降低(香农指数,<0.05)和明显的组成变化,包括变形菌门富集(线性判别分析效应大小>4)和共生菌如阿克曼氏菌减少。一个由20个微生物属组成的特征可预测复发(曲线下面积=0.81,95%置信区间:0.72-0.91),而一个由20种代谢物组成的面板(如resolvin D5、谷氨酰苏氨酸)具有更高的准确性(曲线下面积=0.958,置信区间:0.950-0.966)。功能分析将与复发相关的微生物群与脂质/氨基酸代谢紊乱和促炎途径联系起来(京都基因与基因组百科全书,<0.01)。微生物-代谢物相关网络揭示了失调的分类群(如蓝细菌)与免疫调节代谢物之间的强关联(*>0.6,<0.05)。本研究确定肿瘤内微生物组-代谢组特征为HCC复发的新型生物标志物,为微生物对肿瘤微环境的调节提供了机制性见解,并为术后风险分层提供了临床工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ebf7/12442831/8323bf18a730/fmicb-16-1653249-g001.jpg

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