Lu Yen-Ting, Hsin Chung-Han, Chuang Chun-Yi, Huang Cheng-Chen, Su Mao-Chang, Wen Wei-Sheng, Wang Shao-Hung, Chen Yih-Yuan, Lee Cheng-Yang, Li Yu-Xuan, Lu Ying-Chou, Chang Tzu-Hao, Yang Shun-Fa
Department of Otolaryngology, St. Martin De Porres Hospital, Chiayi, Taiwan.
Department of Otolaryngology, Chung Shan Medical University Hospital, Taichung, Taiwan.
J Otolaryngol Head Neck Surg. 2024 Jan-Dec;53:19160216241304365. doi: 10.1177/19160216241304365.
Nasopharyngeal carcinoma (NPC) is closely linked to microorganisms, especially intra-tumoral microbiota. However, the role of commensal microbiota in NPC remains underexplored, with implications for understanding disease mechanisms.
This study aims to analyze and compare the bacterial microbiota in the nasopharynx and middle meatus (MM) of individuals with NPC and those without NPC. Additionally, the study seeks to identify potential microbial biomarkers that can distinguish between NPC and non-NPC (nNPC) individuals.
Cross-sectional study.
Study conducted in a clinical setting with NPC and non-NPC participants to evaluate microbial diversity relevant to NPC.
Ten NPC cases and 15 non-NPC controls were recruited based on clinical eligibility.
Bacterial microbiota sampling from the nasopharynx and MM was analyzed by 16S rRNA sequencing. Microbiota diversity (alpha and beta diversity indices), presence of bacterial taxa with biomarker potential, and prediction model accuracy [area under the curve (AUC)].
Microbiota diversity was significantly lower in NPC patients versus controls. In nasopharyngeal samples, alpha diversity (Chao1 index, = .02) and beta diversity (PERMANOVA, = .001) differed notably between groups, though MM samples showed no significant difference (Chao1 index, = .23). Machine learning identified , and as potential NPC biomarkers (AUC = 0.86).
This pioneering study highlights dysbiosis in nasopharyngeal microbiota among NPC patients. Findings suggest that , and may be useful biomarkers for NPC diagnosis, warranting further investigation into microbial roles in NPC pathogenesis.
鼻咽癌(NPC)与微生物密切相关,尤其是肿瘤内微生物群。然而,共生微生物群在鼻咽癌中的作用仍未得到充分探索,这对理解疾病机制具有重要意义。
本研究旨在分析和比较鼻咽癌患者与非鼻咽癌患者鼻咽部和中鼻道(MM)的细菌微生物群。此外,该研究还试图确定能够区分鼻咽癌患者和非鼻咽癌(nNPC)个体的潜在微生物生物标志物。
横断面研究。
在临床环境中对鼻咽癌患者和非鼻咽癌参与者进行研究,以评估与鼻咽癌相关的微生物多样性。
根据临床入选标准招募了10例鼻咽癌病例和15例非鼻咽癌对照。
通过16S rRNA测序分析从鼻咽部和MM采集的细菌微生物群。微生物群多样性(α和β多样性指数)、具有生物标志物潜力的细菌类群的存在情况以及预测模型准确性[曲线下面积(AUC)]。
与对照组相比,鼻咽癌患者的微生物群多样性显著降低。在鼻咽部样本中,两组之间的α多样性(Chao1指数,P = 0.02)和β多样性(PERMANOVA,P = 0.001)存在显著差异,尽管MM样本未显示出显著差异(Chao1指数,P = 0.23)。机器学习确定[具体细菌名称1]、[具体细菌名称2]和[具体细菌名称3]为潜在的鼻咽癌生物标志物(AUC = 0.86)。
这项开创性研究突出了鼻咽癌患者鼻咽部微生物群的失调。研究结果表明,[具体细菌名称1]、[具体细菌名称2]和[具体细菌名称3]可能是鼻咽癌诊断的有用生物标志物,有必要进一步研究微生物在鼻咽癌发病机制中的作用。