Suppr超能文献

口腔微生物群特征作为胃癌风险评估的潜在生物标志物

Oral Microbiome Signatures as Potential Biomarkers for Gastric Cancer Risk Assessment.

作者信息

In Haejin, Perati Shruthi R, Usyk Mykhaylo, Yang Julie, Sarkar Srawani, Rana Brijesh, Wang Fei, Oh Aaron, Adams Alexandra, Diggs Laurence P, Sollecito Christopher, Burk Robert D

机构信息

Division of Surgical Oncology, Rutgers Cancer Institute, New Brunswick, NJ; Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.

Department of Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ.

出版信息

J Gastrointest Surg. 2024 Dec 18:101933. doi: 10.1016/j.gassur.2024.101933.

Abstract

BACKGROUND

Gastric cancer (GC) is the fifth leading cause of cancer-related death worldwide. The oral microbiota was investigated for distinguishable characteristics between GC, premalignant gastric conditions (Pre-GC), and control participants.

METHODS

Mouthwash samples from GC, Pre-GC, and control participants at a tertiary care center were prospectively collected. Following DNA extraction and sequencing, analyses of oral microbiome biodiversity and composition were performed, and receiver operating characteristic curves were created to evaluate the discriminative power of oral microbiome signatures.

RESULTS

Oral samples from 98 participants included 30 (30.6%) GC, 30 (30.6%) Pre-GC and 38 (38.8%) controls. Of these, 61 (62.2%) were female, 31 (31.6%) were Hispanic, and 18 (18.3%) were smokers. GC compared to controls demonstrated notable differences in beta diversity (Jensen-Shannon Divergence and Bray-Curtis Dissimilarity, p<0.02). 32 bacterial genera were found to be differentially abundant when comparing GC and controls, and 23 bacterial genera demonstrated differential abundance when comparing Pre-GC and controls (W-statistic >2). Minimal compositional differences between GC and Pre-GC were found, with only three differentially abundant bacterial genera (W-statistic >2). Models were constructed from the most significant bacterial signatures (W-statistic >5). These models discriminated between GC and control oral samples with an AUC of 0.880 (95% CI 0.808, 0.952) and between Pre-GC and control oral samples with an AUC of 0.943 (95% CI 0.887, 0.999).

CONCLUSIONS

Oral rinses of GC and Pre-GC participants exhibited distinct but similar microbiome profiles, distinguishing them from controls. This compositional difference raises the possibility of utilizing these microbial signatures to predict GC risk.

摘要

背景

胃癌(GC)是全球癌症相关死亡的第五大主要原因。对口腔微生物群进行了研究,以找出胃癌、癌前胃部疾病(Pre-GC)和对照参与者之间的显著特征。

方法

前瞻性收集了三级医疗中心的胃癌、癌前胃部疾病和对照参与者的漱口水样本。在进行DNA提取和测序后,对口腔微生物群的生物多样性和组成进行了分析,并绘制了受试者工作特征曲线,以评估口腔微生物群特征的判别能力。

结果

98名参与者的口腔样本包括30名(30.6%)胃癌患者、30名(30.6%)癌前胃部疾病患者和38名(38.8%)对照者。其中,61名(62.2%)为女性,31名(31.6%)为西班牙裔,18名(18.3%)为吸烟者。与对照相比,胃癌患者的β多样性存在显著差异(Jensen-Shannon散度和Bray-Curtis差异,p<0.02)。在比较胃癌患者和对照者时,发现32个细菌属的丰度存在差异,在比较癌前胃部疾病患者和对照者时,有23个细菌属的丰度存在差异(W统计量>2)。在胃癌患者和癌前胃部疾病患者之间发现的组成差异最小,只有三个细菌属的丰度存在差异(W统计量>2)。根据最显著的细菌特征(W统计量>5)构建模型。这些模型区分胃癌患者和对照口腔样本的曲线下面积(AUC)为0.880(95%置信区间0.808,0.952),区分癌前胃部疾病患者和对照口腔样本的AUC为0.943(95%置信区间0.887,0.999)。

结论

胃癌患者和癌前胃部疾病患者的漱口水样本显示出独特但相似的微生物群特征,与对照者不同。这种组成差异增加了利用这些微生物特征预测胃癌风险的可能性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验