| Autor: |
Ping WAN, Weitao SHEN, Zhenyan PENG, Ran LIU |
| Jazyk: |
English<br />Chinese |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
环境与职业医学, Vol 39, Iss 9, Pp 1011-1020 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2095-9982 |
| DOI: |
10.11836/JEOM22065 |
| Popis: |
BackgroundEsophageal cancer is a common gastrointestinal tumor with a high incidence in China. Some studies suggest that intestinal flora is significantly related to the occurrence and development of tumors and other diseases. Traditional 16S rDNA sequencing technology only provides taxonomic resolution at genus level. ObjectiveBased on PacBio single molecule real time (SMRT) sequencing technology to identify characteristic microbial biomarkers associated with esophageal cancer at the species level. MethodsA total of 120 newly diagnosed cases of esophageal cancer were recruited and 60 healthy patients with matched sex and age were recruited as the control group. Fresh stool samples were collected from all subjects. Full-length 16S rDNA sequencing was performed on samples from 4 patients with esophageal cancer and 1:1 matched healthy controls using the third-generation sequencing PacBio SMRT technology, and the structural differences of intestinal flora were analyzed based on the sequencing results. Function prediction was performed by PICRUSt software. Large population samples were validated by screening different gut microbes by linear discriminant analysis and linear discriminant analysis effect size to identify esophageal cancer-associated gut microbes. ResultsBased on sequencing samples, the results of α diversity analysis showed that the Ace, Chao1, Simpson Diversity, and Shannon Wiener indices of the esophageal cancer group were higher than those of the healthy control group (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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