Department of Infectious Diseases, Hospital Universitario Ramon y Cajal, Facultad de Medicina, Universidad de Alcalá, IRYCIS, Madrid, Spain.
Division of Infectious Diseases, Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain.
J Infect Dis. 2021 Oct 13;224(7):1247-1256. doi: 10.1093/infdis/jiab068.
While the microbiota has been associated with human papillomavirus malignant transformation, it is unclear whether anal bacteria could improve the low specificity of anal cytology for the screening of high-grade intraepithelial squamous neoplasia (HSIL).
We recruited men who have sex with men undergoing anal cytology and high-resolution anoscopy. We assessed the microbiota composition from fecal samples and cytobrush anal samples using 16S ribosomal DNA sequencing in participants with or without biopsy-proven HSIL (bHSIL). We selected bacterial biomarkers based on their linear discriminant analysis. We assessed their predictive performance using logistic regression and bootstrap resampling.
We included 128 individuals, 47 (36.7%) with bHSIL and 99 (77.3%) with human immunodeficiency virus. We detected 40 potential predictors of bHSIL. Ruminococcaceae NK4A214 group, Alloprevotella genus, Prevotella melanonigenica, and Ruminococcaceae UCG-014 were the most predictive of bHSIL. From 35 false-positive cytologic results, the combination of these 4 biomarkers with the anal cytology reclassified to true-negative 33 individuals (94%) and showed good diagnostic performance (area under the receiver operating characteristic curve, 0.805; 95% confidence interval, .728-.882).
We found anal-associated bacteria indicative of a higher risk of precancerous anal lesions, which combination was highly specific. The microbiota could be developed as a complementary diagnostic tool to overcome the limitations of the current screening strategy for anal cancer.
尽管微生物群与人类乳头瘤病毒的恶性转化有关,但尚不清楚肛门细菌是否可以提高肛门细胞学对高级上皮内鳞状肿瘤(HSIL)筛查的低特异性。
我们招募了接受肛门细胞学和高分辨率肛门镜检查的男男性接触者。我们评估了粪便样本和 cytobrush 肛门样本中 16S 核糖体 DNA 测序中有无活检证实的 HSIL(bHSIL)参与者的微生物群落组成。我们根据线性判别分析选择细菌生物标志物。我们使用逻辑回归和引导重采样评估其预测性能。
我们纳入了 128 名参与者,其中 47 名(36.7%)患有 bHSIL,99 名(77.3%)患有人类免疫缺陷病毒。我们检测到 40 个 bHSIL 的潜在预测因子。Ruminococcaceae NK4A214 组、Alloprevotella 属、Prevotella melanonigenica 和 Ruminococcaceae UCG-014 是最能预测 bHSIL 的。从 35 个假阳性细胞学结果中,这 4 种生物标志物与肛门细胞学相结合,重新分类为 33 名真阴性个体(94%),并表现出良好的诊断性能(接受者操作特征曲线下面积,0.805;95%置信区间,0.728-0.882)。
我们发现了预示癌前肛门病变风险较高的肛门相关细菌,其组合具有高度特异性。微生物群可以作为一种补充诊断工具来克服当前肛门癌筛查策略的局限性。