Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1041940 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR26866760_1.fastq.gz | Fastqsanger.gz | |||
| SRR26866760_2.fastq.gz | Fastqsanger.gz | |||
| SRR26866761_1.fastq.gz | Fastqsanger.gz | |||
| SRR26866761_2.fastq.gz | Fastqsanger.gz | |||
| SRR26866762_1.fastq.gz | Fastqsanger.gz |
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Project description:Pancreatic cancer is among the deadliest cancers that affects almost 54,000 patients in United States alone, with 90% of them succumbing to the disease. Lack of early detection is considered to be the foremost reason for such dismal survival rates. Our study shows that resident gut microbiota is altered at the early stages of tumorigenesis much before development of observable tumors in a spontaneous, genetically engineered mouse model for pancreatic cancer. In the current study, we analyzed the microbiome of in a genetic mouse model for PDAC (KRASG12DTP53R172HPdxCre or KPC) and age-matched controls using WGS at very early time points of tumorigenesis. During these time points, the KPC mice do not show any detectable tumors in their pancreas. Our results show that at these early time points, the histological changes in the pancreas correspond to a significant change in certain gut microbial population. Our predictive metabolomic analysis on the identified bacterial species reveal that the primary microbial metabolites involved in progression and development of PDAC tumors are involved in polyamine metabolism.
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