Fusobacterium nucleatum predicts a high risk of metastasis for esophageal squamous cell carcinoma.
Fusobacterium nucleatum predicts a high risk of metastasis for esophageal squamous cell carcinoma.
复制标题
具核梭杆菌预测食管鳞状细胞癌转移的高风险
DOI：
10.1186/s12866-021-02352-6
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发表时间：
2021-10-30
期刊：
影响因子：
4.2
通讯作者：
Ma J
中科院分区：
文献类型：
--
作者：
Li Z;Shi C;Zheng J;Guo Y;Fan T;Zhao H;Jian D;Cheng X;Tang H;Ma J
背景
食管鳞状细胞癌是我国食管癌的主要类型。ESCC组织中存在的细菌在肿瘤进展中的作用尚未完全阐明。本研究旨在揭示食管鳞癌组织中不同的细菌群落，并研究食管植物群丰度与食管鳞癌临床病理特征之间的相关性。
结果
肿瘤和正常组织中的微生物具有明显的聚集性。梭杆菌在肿瘤组织中的丰度增加（P = 0.0052）。高水平的具核梭杆菌与pT分期（P = 0.039）和临床分期（P = 0.0039）显著相关。WES数据显示，COL 22 A1、TRBV 10 -1、CSMD 3、SCN 7A和PSG 11仅在F.核阳性ESCC样本。GO和蛋白结构域富集结果提示表皮生长因子可能参与了F.核阳性ESCC。较高的突变负荷和F.有转移的肿瘤细胞核染色阳性率明显高于无转移的肿瘤细胞核染色阳性率。
结论
F.核仁与食管鳞癌的pT分期和临床分期密切相关。F.核质和肿瘤突变负荷可作为预测ESCC转移的潜在方法。
Background
Esophageal squamous cell carcinoma (ESCC) is the major type of esophageal cancer in China. The role of the bacteria present in ESCC tissue in neoplastic progression has not been fully elucidated. This study aimed to uncover different bacterial communities in ESCC tissues and examine the correlation between the abundance of the esophageal flora and clinicopathologic characteristics of ESCC.
Results
Microorganisms in tumors and normal tissues showed obvious clustering characteristics. The abundance of Fusobacterium (P = 0.0052) was increased in tumor tissues. The high level of Fusobacterium nucleatum was significantly associated with pT stage (P = 0.039) and clinical stage (P = 0.0039). The WES data showed that COL22A1, TRBV10–1, CSMD3, SCN7A and PSG11 were present in only the F. nucleatum-positive ESCC samples. GO and protein domain enrichment results suggested that epidermal growth factor might be involved in the regulation of cell apoptosis in F. nucleatum-positive ESCC. Both a higher mutational burden and F. nucleatum-positive was observed in tumors with metastasis than in tumors without metastasis.
Conclusion
F. nucleatum is closely related to the pT stage and clinical stage of ESCC. The abundance of F. nucleatum and tumor mutation burden may be used in combination as a potential method to predict metastasis in ESCC.
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