DNA from fecal immunochemical test can replace stool for detection of colonic lesions using a microbiota-based model

被引:42
作者
Baxter, Nielson T. [1 ,2 ]
Koumpouras, Charles C. [1 ]
Rogers, Mary A. M. [2 ]
Ruffin, Mack T. [3 ]
Schloss, Patrick D. [1 ]
机构
[1] Univ Michigan, Dept Microbiol & Immunol, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Dept Internal Med, Ann Arbor, MI 48109 USA
[3] Penn State Hershey Med Ctr, Dept Family & Community Med, Hershey, PA USA
基金
美国国家卫生研究院;
关键词
Colorectal cancer; Gut microbiome; Microbiota; Fecal immunochemical test; Random forest; COLORECTAL-CANCER; STRATEGY;
D O I
10.1186/s40168-016-0205-y
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Background: There is a significant demand for colorectal cancer (CRC) screening methods that are noninvasive, inexpensive, and capable of accurately detecting early stage tumors. It has been shown that models based on the gut microbiota can complement the fecal occult blood test and fecal immunochemical test (FIT). However, a barrier to microbiota-based screening is the need to collect and store a patient's stool sample. Results: Using stool samples collected from 404 patients, we tested whether the residual buffer containing resuspended feces in FIT cartridges could be used in place of intact stool samples. We found that the bacterial DNA isolated from FIT cartridges largely recapitulated the community structure and membership of patients' stool microbiota and that the abundance of bacteria associated with CRC were conserved. We also found that models for detecting CRC that were generated using bacterial abundances from FIT cartridges were equally predictive as models generated using bacterial abundances from stool. Conclusions: These findings demonstrate the potential for using residual buffer from FIT cartridges in place of stool for microbiota-based screening for CRC. This may reduce the need to collect and process separate stool samples and may facilitate combining FIT and microbiota-based biomarkers into a single test. Additionally, FIT cartridges could constitute a novel data source for studying the role of the microbiome in cancer and other diseases.
引用
收藏
页数:6
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