Departments of Pathology, The International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Department of Oncology, Zhejiang University School of Medicine Women's Hospital, Hangzhou, Zhejiang, China.
Front Cell Infect Microbiol. 2024 Aug 16;14:1440017. doi: 10.3389/fcimb.2024.1440017. eCollection 2024.
Microbial community dynamics have been involved in numerous diseases, including cancer. The diversity of intertumoral microbiota in human papillomavirus independent endocervical adenocarcinoma (HPVI ECA) is not well-characterized.
Our objective is to delineate the intratumoral microbiota profile in HPVI ECA and investigate its potential influence on oncogenesis.
We analyzed 45 HPVI ECA cases, comprising 36 gastric-type ECA (GEA) and 9 clear cell carcinomas (CCC). We compared the microbial composition within cancerous and adjacent noncancerous tissue samples using 5R-16S ribosomal DNA sequencing. Further, we investigated the correlation between specific microbes and clinical-pathological metrics as well as patient outcomes.
Our findings demonstrate notable differences in the microbial spectra between cancerous and adjacent noncancerous tissues. Amongst HPVI ECA subtypes, GEAs exhibit more microbial variations compared to CCCs. Using the Random Forest algorithm, we identified two distinct microbial signatures that could act as predictive biomarkers for HPVI ECA and differentiate between GEA and CCC. Varied microbial abundances was related to clinical characteristics of HPVI ECA patients. In addition, high levels of and low levels of family were associated with poorer outcomes in HPVI ECA patients. Similarly, an abundance of correlated with reduced overall survival (OS), and a high presence of family microbes was linked to reduced recurrence-free survival (RFS) in GEA patients. Intriguingly, a high abundance of was also associated with a worse OS in GEA patients.
The study reveals distinct microbial signatures in HPVI ECA, which have potential as biomarkers for disease prognosis. The correlation between these tumor-associated microbiota features and clinicopathological characteristics underscores the possibility of microbiome-based interventions. Our research provides a foundation for more in-depth studies into the cervical microbiome's role in HPVI ECA.
微生物群落动态与许多疾病有关，包括癌症。人乳头瘤病毒独立型宫颈内膜腺癌（HPVIEA）的肿瘤间微生物多样性尚未得到很好的描述。
我们旨在描绘 HPVIEA 中的肿瘤内微生物群谱，并研究其对肿瘤发生的潜在影响。
我们分析了 45 例 HPVIEA 病例，包括 36 例胃型腺癌（GEA）和 9 例透明细胞癌（CCC）。我们使用 5R-16S 核糖体 DNA 测序比较了癌组织和相邻非癌组织样本中的微生物组成。此外，我们还研究了特定微生物与临床病理指标以及患者预后之间的相关性。
我们的研究结果表明，癌组织和相邻非癌组织之间的微生物谱存在显著差异。在 HPVIEA 亚型中，GEA 比 CCC 具有更多的微生物变异。使用随机森林算法，我们确定了两个可以作为 HPVIEA 的预测生物标志物的独特微生物特征，并可以区分 GEA 和 CCC。微生物丰度的变化与 HPVIEA 患者的临床特征有关。此外，水平较高的 和 水平较低的 家族与 HPVIEA 患者的不良结局相关。同样，水平较高的 与 GEA 患者的总生存（OS）降低相关，而 家族微生物的高水平与 GEA 患者的无复发生存（RFS）降低相关。有趣的是，水平较高的 也与 GEA 患者的 OS 较差相关。
本研究揭示了 HPVIEA 中的独特微生物特征，它们可能成为疾病预后的生物标志物。这些与肿瘤相关的微生物特征与临床病理特征之间的相关性表明了基于微生物组的干预的可能性。我们的研究为深入研究宫颈微生物组在 HPVIEA 中的作用提供了基础。
