Genomics

Dataset Information

0

Bulk RNA-Seq of colorectal cancer patient samples


ABSTRACT: Association between microbes and cancer has been reported repeatedly; however, it is not clear if molecular tumour properties are connected to specific microbial colonization patterns. This is due mainly to the current technical and analytical strategy limitations to characterise tumour-associated bacteria. Here, we propose an approach to detect bacterial signals in human RNA sequencing data and associate them with the clinical and molecular properties of the tumours. The method was tested on public datasets from The Cancer Genome Atlas and its accuracy was assessed on a new cohort of colorectal cancer patients. Our analysis shows that intratumoral microbiome composition is correlated with survival, anatomic location, microsatellite instability, consensus molecular subtype and immune cell infiltration in colon tumours. In particular, we find Faecalibacterium prausnitzii, Coprococcus comes, Bacteroides spp., Fusobacterium spp. and Clostridium spp. to be strongly associated with tumour properties. We implemented an approach to analyse concurrently clinical and molecular properties of the tumour and the composition of the associated microbiome. Our results may improve patient stratification and pave the path for mechanistic studies on microbiota-tumour crosstalk.

PROVIDER: EGAS00001006666 | EGA |

REPOSITORIES: EGA

Similar Datasets

2016-02-25 | GSE73801 | GEO
2024-08-08 | PXD047510 | Pride
2022-04-12 | GSE200601 | GEO
2019-01-03 | GSE108984 | GEO
2007-03-26 | E-TABM-43 | biostudies-arrayexpress
2016-02-25 | E-GEOD-73801 | biostudies-arrayexpress
2015-08-13 | GSE69290 | GEO
2022-09-15 | PXD028470 | JPOST Repository
2015-08-13 | E-GEOD-69290 | biostudies-arrayexpress
2019-09-18 | GSE137544 | GEO