Unknown

Dataset Information

0

The Intratumor Microbiota Signatures Associate With Subtype, Tumor Stage, and Survival Status of Esophageal Carcinoma


ABSTRACT: Altered human microbiome characteristic has been linked with esophageal carcinoma (ESCA), analysis of microbial profiling directly derived from ESCA tumor tissue is beneficial for studying the microbial functions in tumorigenesis and development of ESCA. In this study, we identified the intratumor microbiome signature and investigated the correlation between microbes and clinical characteristics of patients with ESCA, on the basis of data and information obtained from The Cancer Microbiome Atlas (TCMA) and The Cancer Genome Atlas (TCGA) databases. A total of 82 samples were analyzed for microbial composition at various taxonomic levels, including 40 tumor samples of esophageal squamous cell carcinoma (ESCC), 20 tumor samples of esophageal adenocarcinoma (EAD), and 22 adjacent normal samples. The results showed that the relative abundance of several microbes changed in tumors compared to their paired normal tissues, such as Firmicutes increased significantly while Proteobacteria decreased in tumor samples. We also identified a microbial signature composed of ten microbes that may help in the classification of ESCC and EAD, the two subtypes of ESCA. Correlation analysis demonstrated that compositions of microbes Fusobacteria/Fusobacteriia/Fusobacteriales, Lactobacillales/Lactobacillaceae/Lactobacillus, Clostridia/Clostridiales, Proteobacteria, and Negativicutes were correlated with the clinical characteristics of ESCA patients. In summary, this study supports the feasibility of detecting intratumor microbial composition derived from tumor sequencing data, and it provides novel insights into the roles of microbiota in tumors. Ultimately, as the second genome of human body, microbiome signature analysis may help to add more information to the blueprint of human biology.

SUBMITTER: Wang Y 

PROVIDER: S-EPMC8578860 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC8148886 | biostudies-literature
2016-08-20 | E-GEOD-79366 | biostudies-arrayexpress
| S-EPMC4666638 | biostudies-literature
| S-EPMC6886491 | biostudies-literature
2016-08-20 | GSE79366 | GEO
| S-EPMC4670960 | biostudies-literature
| S-EPMC7930383 | biostudies-literature
| S-EPMC5710940 | biostudies-literature
| S-EPMC8492900 | biostudies-literature
| S-EPMC8632060 | biostudies-literature