Engineers from Duke University have engineered an algorithm to eliminate contaminated microbial genetic information from The Cancer Genome Atlas (TCGA). As a complete image of the microbiota residing in various organs in both healthy and cancerous states is present, the researchers are now trying to locate new biomarkers of disease to better understand the impact of numerous cancers on the human body. The decontaminated dataset have earlier helped discover normal and cancerous organ tissues with a little diverse microbiota composition and these bacteria found at the diseases sites tend to pass into the bloodstream using which these bacterial information the researchers are now able to diagnose cancer and foretell patient outcomes.

In the journal Cell Host & Microbe, the team has explained the TCGA as the landmark in cancer genomics. This landmark helped characterize cancer and its types. The latest dataset has produced over 2.5 million gigabytes of omic data and this atlas includes DNA, epigenetic markers, proteins, activated & non-activated DNA. Enticingly, this new atlas is freely available for public application. This dataset helped find the presence of Fusobacterium nucleatum in abundance in colorectal cancer and this has since been observed as an indicative for stage, survival, metastasis, and drug response study for this type of cancer. Even though only few bacterial biomarkers have been found till date there are still more to be discovered. However, the major issue is the contamination of cancer samples which later are overcome using microbe-rich material such as feces.

TCGA sequencing data help differentiate between microbial contamination from laboratory and its origin from the human body. The use The Cancer Microbiome Atlas, which is a method invented to extract microbes originating from the sample, is expected to provide information much needed by the community to understand the cancer’s role in altering the microbiome present in the organs. The researcher Anders Dohlman then invented a TCGA data contaminant remover based on identifying the unique contamination signature for each site. Another issue is differentiating the bacteria that are contaminant and endogenous to the tissue. Dohlman's decontamination algorithm helps discover microbiota signatures present in the cancer sites.

Market Research Store has published a report on global microbiome database market. The report incorporates microscopic and macroscopic market factors including drivers, opportunities, challenges, consumption breakdown, geographical distribution, and competitive players.

https://www.marketresearchstore.com/report/global-microbiome-database-market-report-2020-industry-analysis-758150