胃微生物群失调检测对萎缩性胃炎患者癌症风险分层的预测价值
Predictive Value of a Gastric Microbiota Dysbiosis Test for Stratifying Cancer Risk in Atrophic Gastritis Patients.
作者信息
Zaramella Alice, Arcidiacono Diletta, Duci Miriam, Benna Clara, Pucciarelli Salvatore, Fantin Alberto, Rosato Antonio, De Re Valli, Cannizzaro Renato, Fassan Matteo, Realdon Stefano
机构信息
Department of Surgery, Oncology and Gastroenterology (DiSCOG), University of Padua, Via Giustiniani 2, 35128 Padua, Italy.
Gastroenterology Unit, Veneto Institute of Oncology IOV-IRCCS, Via Gattamelata 64, 35128 Padua, Italy.
出版信息
Nutrients. 2024 Dec 31;17(1):142. doi: 10.3390/nu17010142.
BACKGROUND/OBJECTIVES: Gastric cancer (GC) incidence remains high worldwide, and the survival rate is poor. GC develops from atrophic gastritis (AG), associated with () infection, passing through intestinal metaplasia and dysplasia steps. Since eradication does not exclude GC development, further investigations are needed. New data suggest the possible role of unexplored gastric microbiota beyond in the progression from AG to GC. Aimed to develop a score that could be used in clinical practice to stratify GC progression risk, here was investigate gastric microbiota in AG -negative patients with or without high-grade dysplasia (HGD) or GC.
METHODS
Consecutive patients undergoing upper endoscopy within an endoscopic follow-up for AG were considered. The antrum and corpus biopsies were used to assess the microbiota composition along the disease progression by sequencing the 16S ribosomal RNA gene. Statistical differences between HGD/GC and AG patients were included in a multivariate analysis.
RESULTS
HGD/GC patients had a higher percentage of in the antrum and a low abundance of Rhizobiales, Weeksellaceae and in the corpus. These data were used to calculate a multiparametric score (Resident Gastric Microbiota Dysbiosis Test, RGM-DT) to predict the risk of progression toward HGD/GC. The performance of RGM-DT in discriminating patients with HGD/GC showed a specificity of 88.9%.
CONCLUSIONS
The microbiome-based risk prediction model for GC could clarify the role of gastric microbiota as a cancer risk biomarker to be used in clinical practice. The proposed test might be used to personalize follow-up program thanks to a better cancer risk stratification.
背景/目的:胃癌(GC)在全球范围内的发病率仍然很高,生存率较低。胃癌由萎缩性胃炎(AG)发展而来,萎缩性胃炎与()感染有关,会经历肠化生和发育异常阶段。由于根除()并不能排除胃癌的发生,因此需要进一步研究。新数据表明,未被探索的胃微生物群在从萎缩性胃炎到胃癌的进展过程中可能发挥作用。为了开发一种可用于临床实践以对胃癌进展风险进行分层的评分系统,我们在此研究了无()的高级别发育异常(HGD)或胃癌患者的胃微生物群。
方法
纳入在内镜随访期间因萎缩性胃炎接受上消化道内镜检查的连续患者。通过对16S核糖体RNA基因进行测序,利用胃窦和胃体活检来评估疾病进展过程中的微生物群组成。HGD/GC患者与萎缩性胃炎患者之间的统计学差异纳入多变量分析。
结果
HGD/GC患者胃窦中的()百分比更高,胃体中的根瘤菌目、韦荣氏菌科和()丰度较低。这些数据用于计算一个多参数评分(常驻胃微生物群失调测试,RGM-DT),以预测进展为HGD/GC的风险。RGM-DT在鉴别HGD/GC患者方面的表现显示特异性为88.9%。
结论
基于微生物群的胃癌风险预测模型可以阐明胃微生物群作为癌症风险生物标志物在临床实践中的作用。由于更好的癌症风险分层,所提出的测试可能用于个性化随访计划。