Prognostic effects of the gastric mucosal microbiota in gastric cancer.
Prognostic effects of the gastric mucosal microbiota in gastric cancer.
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Gastric cancer (GC) is one of the most common malignant tumors with a high incidence and mortality. Microbiota play a significant role in human health and disease. We aimed to investigate the prognostic value of the gastric microbiota in different stomach microhabitats. We used our previously published 16S rRNA gene sequence data. We retrospectively enrolled a cohort of 132 patients with GC with complete prognostic information and selected 78 normal tissues, 49 peritumoral tissues, and 112 tumoral tissues for microbiota analysis. Patients with different prognoses showed different gastric microbiota compositions and diversity. The association network of the abundant gastric microbiota was more complicated in patients with poor prognoses. In the peritumoral microhabitat of patients with good prognoses, Helicobacter was significantly increased, whereas Halomonas and Shewanella were significantly decreased relative to that in the peritumoral microhabitat of patients with poor prognoses. PiCRUSt analysis revealed that the peritumoral microbiota had more different Kyoto Encyclopedia of Genes and Genomes pathways than did the tumoral and normal microbiota. This study evaluated the long‐term prognostic value of the gastric mucosal microbiota in patients with GC. These findings suggested that the characteristic alterations of the gastric mucosal microbiota may be markers for clinical outcomes in these patients. Microbiota play a significant role in human health and disease. Gastric cancer (GC) patients with different prognoses showed different gastric microbiota compositions and diversity. The characteristic alterations of the gastric mucosal microbiota may be markers for clinical outcomes in these patients.
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影响因子:
7.6
作者:
Gantuya B;El Serag HB;Matsumoto T;Ajami NJ;Uchida T;Oyuntsetseg K;Bolor D;Yamaoka Y
通讯作者:
Yamaoka Y
影响因子:
4.6
作者:
Aviles-Jimenez F;Vazquez-Jimenez F;Medrano-Guzman R;Mantilla A;Torres J
通讯作者:
Torres J
影响因子:
24.5
作者:
Flemer B;Lynch DB;Brown JM;Jeffery IB;Ryan FJ;Claesson MJ;O'Riordain M;Shanahan F;O'Toole PW
通讯作者:
O'Toole PW
影响因子:
16.2
作者:
Feng, Rui-Mei;Zong, Yi-Nan;Xu, Rui-Hua
通讯作者:
Xu, Rui-Hua
影响因子:
4.6
作者:
Gunathilake, Madhawa Neranjan;Lee, Jeonghee;Kim, Jeongseon
通讯作者:
Kim, Jeongseon