微生物群
肺癌
阶段(地层学)
生物标志物
肿瘤科
内科学
医学
分子生物标志物
临床意义
诊断生物标志物
癌症
计算生物学
生物信息学
生物
遗传学
古生物学
作者
Haiming Chen,Yi Ma,Jing Xu,Wenxiang Wang,Hao Liang,Qimin Cheng,Fan Yang,Yiming Lu,Hao Wu,Mantang Qiu
标识
DOI:10.1016/j.xcrm.2024.101499
摘要
Lung cancer mortality is exacerbated by late-stage diagnosis. Emerging evidence indicates the potential clinical significance of distinct microbial signatures as diagnostic and prognostic biomarkers across various cancers. However, circulating microbiome DNA (cmDNA) profiles are underexplored in lung cancer (LC). Here, whole-genome sequencing is performed on plasma of LC patients and healthy controls (HCs). Differentially enriched microbial species are identified between LC and HC. A diagnostic model is developed, which has a high sensitivity of 87.7% and achieves an AUC of 93.2% in the independent validation dataset. Crucially, this model demonstrates the capability to detect early-stage LC, achieving a sensitivity of 86.5% for stage I and 87.1% for tumors <1 cm. In addition, we construct a cmDNA model for recurrence, which precisely predicts LC recurrence after surgery. Overall, this study highlights the significant alterations of cmDNA profiles in LC, indicating its potential as biomarkers for early diagnosis and recurrence.
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