Suppr超能文献

联合应用无创预测方法和新型生物标志物检测胃癌和结直肠癌患者的口腔和粪便微生物群。

Combined Non-Invasive Prediction and New Biomarkers of Oral and Fecal Microbiota in Patients With Gastric and Colorectal Cancer.

机构信息

Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.

Department of Computer Science, Faculty of Science, University of Western Ontario, London, ON, Canada.

出版信息

Front Cell Infect Microbiol. 2022 May 19;12:830684. doi: 10.3389/fcimb.2022.830684. eCollection 2022.

Abstract

BACKGROUND

There is no information on the commonality and specificity of oral and fecal microbiota in patients with gastric cancer (GC) and colorectal cancer (CRC).

METHODS

The high-throughput 16S rRNA gene V4 region sequencing was used to perform bioinformatics analysis of oral, fecal, and tissue microbiota in GC (76 subjects), CRC (53), and healthy controls (HC, 70). Furthermore, we determined the microbial characteristics of each part, constructed and verified three classifiers for GC and CRC, and evaluated curves of receiver operating characteristic and precision-recall with probability of disease.

RESULTS

Compared to HC, the microbial richness and diversity of GC and CRC decreased in oral cavity and increased in stool; additionally, these indexes in GC tissue were higher than those in CRC tissue. In GC and CRC patients, , , , and were significantly reduced compared to the relative abundance value of oral or fecal bacterial genera in the HC group, while the , , , and were significantly increased. The oral and tissue microbiota have similar and abundant shared bacterial networks. The single and combined microbial detection have good AUC values based on POD indices for predicting GC, CRC, and gastrointestinal (GI) cancers (GC and CRC).

CONCLUSION

This study is the first to examine the characteristics of oral, fecal, and tumor microbiota in GC and CRC patients, and the similarities and differences in their microbial changes are reported. These oral or fecal bacteria (, , , , , , , and ) may be involved in tumor evolution as potentially characteristic genera. In addition, both oral and fecal microbial detection may provide a solid theoretical foundation for the non-invasive prediction of these cancers.

摘要

背景

目前尚无关于胃癌(GC)和结直肠癌(CRC)患者口腔和粪便微生物群共性和特异性的信息。

方法

采用高通量 16S rRNA 基因 V4 区测序对 76 例 GC、53 例 CRC 和 70 例健康对照(HC)的口腔、粪便和组织微生物群进行生物信息学分析。此外,我们确定了每个部位的微生物特征,构建并验证了 GC 和 CRC 的三个分类器,并评估了疾病概率的接收者操作特征和精度召回曲线。

结果

与 HC 相比,GC 和 CRC 患者口腔微生物丰富度和多样性降低,粪便微生物丰富度和多样性增加;此外,GC 组织中的这些指标高于 CRC 组织。在 GC 和 CRC 患者中,与 HC 组口腔或粪便细菌属的相对丰度值相比, 、 、 、 和 显著降低,而 、 、 、 和 显著增加。口腔和组织微生物群具有相似且丰富的共享细菌网络。基于 POD 指数,单一和联合微生物检测对预测 GC、CRC 和胃肠道(GI)癌症(GC 和 CRC)具有良好的 AUC 值。

结论

本研究首次检测了 GC 和 CRC 患者口腔、粪便和肿瘤微生物群的特征,并报告了其微生物变化的相似性和差异性。这些口腔或粪便细菌( 、 、 、 、 、 、 和 )可能作为潜在特征菌参与肿瘤进化。此外,口腔和粪便微生物检测都可能为这些癌症的非侵入性预测提供坚实的理论基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b5b8/9161364/9c1cba23f8eb/fcimb-12-830684-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验