Department of Gastroenterology, Peking University Third Hospital, Beijing 100191, China.
Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 10019, China.
World J Gastroenterol. 2022 Jan 21;28(3):365-380. doi: 10.3748/wjg.v28.i3.365.
The gastric microbiota in patients with gastric cancer (GC) has received increasing attention, but the profiling of the gastric microbiome through the histological stages of gastric tumorigenesis remains poorly understood, especially for patients with -negative GC (HPNGC).
To characterize microbial profiles of gastric mucosa and juice for HPNGC carcinogenesis and identify distinct taxa in precancerous lesions.
The 16S rRNA gene analysis was performed on gastric mucosa from 134 -negative cases, including 56 superficial gastritis (SG), 9 atrophic gastritis (AG), 27 intestinal metaplasia (IM), 29 dysplasia (Dys), and 13 GC cases, to investigate differences in gastric microbial diversity and composition across the disease stages. In addition, paired gastric mucosa and juice samples from 18 SG, 18 IM, and 18 Dys samples were analyzed. α-Diversity was measured by Shannon and Chao1 indexes, and β-diversity was calculated using partial least squares discrimination analysis (PLS-DA). Differences in the microbial composition across disease stages in different sample types were assessed using the linear discriminant analysis effect size.
The diversity and composition of the bacterial microbiota in the gastric mucosa changed progressively across stages of gastric carcinogenesis. The diversity of the gastric mucosa microbiota was found to be significantly lower in the IM and Dys groups than in the SG group, and the patients with GC had the lowest bacterial community richness ( < 0.05). Patients with IM and those with Dys had similar gastric mucosa microbiota profiles with and as the predominant genera. Microbial network analysis showed that there was increasing correlation strength between IM and Dys (|correlation threshold|≥ 0.5, < 0.05). GC and its precancerous lesions have distinguishable bacterial taxa; our results identified HPNGC-associated bacteria and ( < 0.05). Additionally, across precancerous lesion stages from AG to Dys in -negative patients, abundance continuously increased, while and abundance presented a continuous downward trend. Furthermore, the microbial diversity was higher in gastric juice ( < 0.001) than in the mucosa, while PLS-DA revealed a statistically significant difference between the two groups (ANOSIM, = 0.001). A significant difference in the microbial structure was identified, with being more prevalent in the gastric mucosa and being more abundant in gastric juice.
Our results provide insights into potential taxonomic biomarkers for HPNGC and its precancerous stages and assist in predicting the prognosis of IM and Dys based on the mucosal microbiota profile.
胃癌(GC)患者的胃微生物群受到越来越多的关注,但胃肿瘤发生的组织学阶段的胃微生物组谱仍知之甚少,特别是对于阴性 GC(HPNGC)患者。
描述 HPNGC 癌变过程中胃黏膜和胃液的微生物特征,并鉴定癌前病变中的特有分类群。
对 134 例阴性 GC 患者(包括 56 例浅表性胃炎(SG)、9 例萎缩性胃炎(AG)、27 例肠化生(IM)、29 例异型增生(Dys)和 13 例 GC 病例)的胃黏膜进行 16S rRNA 基因分析,以研究疾病阶段之间胃微生物多样性和组成的差异。此外,还分析了 18 例 SG、18 例 IM 和 18 例 Dys 患者的配对胃黏膜和胃液样本。用 Shannon 和 Chao1 指数测量α多样性,用偏最小二乘判别分析(PLS-DA)计算β多样性。使用线性判别分析效应大小评估不同样本类型疾病阶段之间微生物组成的差异。
胃黏膜的细菌微生物群的多样性和组成在胃癌发生的各个阶段逐渐变化。发现 IM 和 Dys 组的胃黏膜微生物多样性明显低于 SG 组,GC 患者的细菌群落丰富度最低(<0.05)。IM 和 Dys 患者的胃黏膜微生物群具有相似的特征,以 和 为主要属。微生物网络分析显示,IM 和 Dys 之间的相关性强度增加(|相关阈值|≥0.5,<0.05)。GC 及其癌前病变具有可区分的细菌分类群;我们的结果确定了与 HPNGC 相关的细菌 和 (<0.05)。此外,在 -阴性患者从 AG 到 Dys 的癌前病变阶段, 的丰度持续增加,而 和 的丰度呈持续下降趋势。此外,胃液中的微生物多样性较高(<0.001),而 PLS-DA 显示两组之间存在统计学差异(ANOSIM,=0.001)。微生物结构存在显著差异,在胃黏膜中更普遍,而在胃液中更丰富。
我们的研究结果为 HPNGC 及其癌前阶段的潜在分类生物标志物提供了见解,并有助于根据黏膜微生物组谱预测 IM 和 Dys 的预后。