Australia and New Zealand have the highest worldwide CRC incidence with CRC being the 2nd most commonly diagnosed cancer and the 3rd most common cause of cancer death among both men and women. CRC is a complex disease arising from the impact of environmental factors, including diet and lifestyle choices on different genetic backgrounds. Obesity and type 2 diabetes are significant risk factors for CRC, the levels of which are increasing in Australia. As a consequence CRC is projected to increase, being the most common Australian cancer by 2025. While the association of obesity with CRC has been reported by a number of studies, the mechanism\s that contribute to CRC development in the context of obesity are unknown. Understanding these mechanisms and potential genetic susceptibility is crucial for developing effective intervention and screening strategies. Recent evidence suggests that gut microbial communities are altered in obese individuals, resulting in a change in the predominant species and overall loss of community diversity but it is unknown if these changes impact CRC development or progression. We have established a comprehensive tissue, blood and microbial collection from 150 lean and obese colorectal cancer patients in the Hunter Region, Australia and commenced an integrative pilot next generation sequencing project to begin to unravel the link between obesity and CRC. Twelve individuals (6 lean and 6 obese) were selected for complementary next-generation sequencing; generating matched sequencing data sets (Total RNA-seq, Poly A RNA-seq, microbial RNA-seq and exome-seq) from normal colon, colon tumor, adipose and digesta samples samples. For this purpose, we have developed a method for simultaneously isolating human and microbial RNA from gut lumen of sufficient quality and quantity from limited material. Results presented will evaluate the differences in host and microbial transciptomics in normal colon and tumor tissue of lean and obese individuals with CRC and methodological comparisons between Total RNA-seq and Poly A RNA-seq will be reported.
Citation Format: Desma M. Grice, Denis C. Bauer, Konsta Duesing, Dongmei Li, Paul Greenfield, Sarah Nielsen, Brian Draganic, Steve Smith, Peter Pockney, Rodney Scott, Garry N. Hannan. Human and microbial transcriptomics from lean and obese individuals with colorectal cancer: A comparison of Total and Poly A RNA sequencing from clinical samples. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr LB-237. doi:10.1158/1538-7445.AM2013-LB-237
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