Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Institute of Radiation Oncology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Cancer Med. 2024 Aug;13(15):e70037. doi: 10.1002/cam4.70037.
Gastric cancer (GC), particularly for advanced stage of GC, commonly undergoes peritoneal metastasis (PM), which is the leading cause of GC-related death. However, there currently has no reliable biomarker to predict the onset of GCPM. It is well known that the imbalance of gut microbiota contributes to the development and metastasis of gastrointestinal tumors. Unfortunately, little is known about how the alternation in gut microbiota is associated with the onset of GCPM.
Our current study analyzed structural characteristics and functional prediction of gut microbiota in GC patients with PM (PM group) and without PM (non-PM group). Fresh fecal samples were collected from a discovery cohort (PM = 38, non-PM = 54) and a validation cohort (PM = 15, non-PM = 21) of GC patients and their 16S ribosomal RNA (16s rRNA) gene amplicons were sequenced, followed by bioinformatics.
The results indicated an increase in the biodiversity of gut microbiota in the non-PM group of the discovery cohort, compared with the PM group. Moreover, LEfSe analysis found 31 significantly different microorganisms, of which the Roseburia ranked the fifth in the random forest (RF) model. The characteristics of intestinal microbiota in GCPM patients were changed, and the abundance of Roseburia in gut microbiota from the GCPM patients was reduced and receiver operating characteristic (ROC) analysis revealed that the reduced abundance of gut Roseburia effectively predicted the onset of GCPM.
This signature was also observed in the validation cohort. Therefore, Roseburia is a protective microbial marker and the reduced abundance of Roseburia in gut microbiota may help early diagnosis of GCPM.
胃癌(GC),特别是晚期 GC,常发生腹膜转移(PM),这是 GC 相关死亡的主要原因。然而,目前尚无可靠的生物标志物来预测 GCPM 的发生。众所周知,肠道微生物群的失衡会导致胃肠道肿瘤的发生和转移。不幸的是,人们对肠道微生物群的变化如何与 GCPM 的发生有关知之甚少。
本研究分析了 PM(PM 组)和无 PM(非 PM 组)GC 患者肠道微生物群的结构特征和功能预测。从 GC 患者的发现队列(PM=38,非 PM=54)和验证队列(PM=15,非 PM=21)中采集新鲜粪便样本,并对其 16S 核糖体 RNA(16s rRNA)基因扩增子进行测序,然后进行生物信息学分析。
结果表明,与 PM 组相比,发现队列中非 PM 组肠道微生物群的生物多样性增加。此外,LEfSe 分析发现 31 种差异显著的微生物,其中罗伊氏乳杆菌在随机森林(RF)模型中排名第五。GCPM 患者肠道微生物群的特征发生了变化,GCPM 患者肠道微生物群中罗伊氏乳杆菌的丰度降低,ROC 分析显示肠道罗伊氏乳杆菌丰度降低可有效预测 GCPM 的发生。
这一特征在验证队列中也得到了观察。因此,罗伊氏乳杆菌是一种保护性微生物标志物,肠道微生物群中罗伊氏乳杆菌丰度的降低可能有助于 GCPM 的早期诊断。