Yuan Liping, Zhang Yi, Wen Chengli, Liu Sha, Zhang Qin, Yin Wen, Jia Qian, Chen Maolin, Luo Gang, Deng Mingming, Lv Muhan, Xiao Wanmeng
Department of Gastroenterology, The Affiliated Hospital, Southwest Medical University, Luzhou, China.
Department of Gastroenterology, The First People's Hospital of Liangshan Yi Autonomous Prefecture, Xichang, China.
Microbiol Spectr. 2025 Jul;13(7):e0313724. doi: 10.1128/spectrum.03137-24. Epub 2025 May 20.
Accumulating evidence highlights the pivotal role of microbiomes in cancer development. To elucidate the esophageal microbiome's characteristics during esophageal squamous cell carcinoma (ESCC) progression, normal tissues from 13 healthy controls (HC), paired esophageal squamous intraepithelial neoplasia (ESIN) lesional and adjacent (ESINA) tissues from 10 ESIN individuals, and ESCC lesional and adjacent (ESCCA) tissues from 12 ESCC individuals were collected. Following 16S rRNA and ITS sequencing, analyses encompassed α/β-diversity assessments, shared species identification, Type-I Taylor's Power Law Extensions (TPLE), linear discriminant analysis effect size (LEfSe), co-occurrence networks, receiver operating characteristic (ROC) curve analysis, and functional predictions. Distinct microbial signatures characterized HC, precancerous, and cancerous groups. The ESIN group exhibited unique microbial features, including diminished bacterial and fungal species sharing relative to the ESINA group and maximal values in TPLE for both taxa. Despite the absence of significant bacterial composition differences between HC and ESIN in β-diversity analysis, notable alterations in the oral microbiome were observed. ESIN was marked by and enrichment, while ESCC was predominantly associated with , , and . Disease progression led to shifts and reductions in species co-occurrence network interactions. demonstrated potential diagnostic value for ESIN, and its ratio to pathogenic functional clusters within network analysis significantly enhanced ESCC detection accuracy. Functional predictions revealed stage-specific pathway enrichments. These findings delineate microbiome alterations across ESCC stages, emphasizing ESIN-specific microbial shifts that may inform microbiome-based strategies for early detection and intervention.
This study collected esophageal tissues through gastroscopic biopsy and conducted sequencing and analyses to explore the diversity, heterogeneity, key microbial composition, interaction networks, and functional predictions of resident bacteria and fungi in esophageal squamous cell carcinoma (ESCC) progression. The esophageal squamous intraepithelial neoplasia group showed the highest heterogeneity in oral microbiome and fungi, with certain species potentially contributing to ESCC progression. Targeting the oral microbiome in high-risk populations may thus provide a valuable approach for improving early diagnosis and potentially intervening in disease progression.
越来越多的证据凸显了微生物群在癌症发展中的关键作用。为了阐明食管鳞状细胞癌（ESCC）进展过程中食管微生物群的特征，收集了13名健康对照者（HC）的正常组织、10名食管鳞状上皮内瘤变（ESIN）患者的配对病变及相邻（ESINA）组织，以及12名ESCC患者的病变及相邻（ESCCA）组织。经过16S rRNA和ITS测序后，分析包括α/β多样性评估、共有物种鉴定、I型泰勒幂律扩展（TPLE）、线性判别分析效应大小（LEfSe）、共现网络、受试者工作特征（ROC）曲线分析以及功能预测。不同的微生物特征区分了HC、癌前和癌性组。ESIN组呈现出独特的微生物特征，包括相对于ESINA组细菌和真菌物种共享减少，以及两类群在TPLE中均达到最大值。尽管在β多样性分析中HC和ESIN之间没有显著的细菌组成差异，但观察到口腔微生物群有明显改变。ESIN的特征是 和 富集，而ESCC主要与 、 和 相关。疾病进展导致物种共现网络相互作用发生变化和减少。 对ESIN具有潜在诊断价值，并且在网络分析中其与致病功能簇的比率显著提高了ESCC检测准确性。功能预测揭示了阶段特异性途径富集。这些发现描绘了ESCC各阶段的微生物群变化，强调了ESIN特异性微生物变化，这可能为基于微生物群的早期检测和干预策略提供信息。
本研究通过胃镜活检收集食管组织，并进行测序和分析，以探索食管鳞状细胞癌（ESCC）进展过程中常驻细菌和真菌的多样性、异质性、关键微生物组成、相互作用网络以及功能预测。食管鳞状上皮内瘤变组在口腔微生物群和真菌方面表现出最高的异质性，某些物种可能促成ESCC进展。因此，针对高危人群的口腔微生物群可能为改善早期诊断和潜在干预疾病进展提供有价值的方法。
