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Metabolomics and metabolic pathway networks from human colorectal cancers, adjacent mucosa, and stool

Overview of attention for article published in Cancer & Metabolism, June 2016
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  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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3 X users
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2 patents

Citations

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182 Dimensions

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381 Mendeley
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Title
Metabolomics and metabolic pathway networks from human colorectal cancers, adjacent mucosa, and stool
Published in
Cancer & Metabolism, June 2016
DOI 10.1186/s40170-016-0151-y
Pubmed ID
Authors

Dustin G. Brown, Sangeeta Rao, Tiffany L. Weir, Joanne O’Malia, Marlon Bazan, Regina J. Brown, Elizabeth P. Ryan

Abstract

Colorectal cancers (CRC) are associated with perturbations in cellular amino acids, nucleotides, pentose-phosphate pathway carbohydrates, and glycolytic, gluconeogenic, and tricarboxylic acid intermediates. A non-targeted global metabolome approach was utilized for exploring human CRC, adjacent mucosa, and stool. In this pilot study, we identified metabolite profile differences between CRC and adjacent mucosa from patients undergoing colonic resection. Metabolic pathway analyses further revealed relationships between complex networks of metabolites. Seventeen CRC patients participated in this pilot study and provided CRC, adjacent mucosa ~10 cm proximal to the tumor, and stool. Metabolomes were analyzed by gas chromatography-mass spectrometry (GC/MS) and ultra-performance liquid chromatography-mass spectrometry (UPLC-MS/MS). All of the library standard identifications were confirmed and further analyzed via MetaboLync(TM) for metabolic network interactions. There were a total of 728 distinct metabolites identified from colonic tissue and stool matrices. Nineteen metabolites significantly distinguished CRC from adjacent mucosa in our patient-matched cohort. Glucose-6-phosphate and fructose-6-phosphate demonstrated 0.64-fold and 0.75-fold lower expression in CRC compared to mucosa, respectively, whereas isobar: betaine aldehyde, N-methyldiethanolamine, and adenylosuccinate had 2.68-fold and 1.88-fold higher relative abundance in CRC. Eleven of the 19 metabolites had not previously been reported for CRC relevance. Metabolic pathway analysis revealed significant perturbations of short-chain fatty acid metabolism, fructose, mannose, and galactose metabolism, and glycolytic, gluconeogenic, and pyruvate metabolism. In comparison to the 500 stool metabolites identified from human CRC patients, only 215 of those stool metabolites were also detected in tissue. This CRC and stool metabolome investigation identified novel metabolites that may serve as key small molecules in CRC pathogenesis, confirmed the results from previously reported CRC metabolome studies, and showed networks for metabolic pathway aberrations. In addition, we found differences between the CRC and stool metabolomes. Stool metabolite profiles were limited for direct associations with CRC and adjacent mucosa, yet metabolic pathways were conserved across both matrices. Larger patient-matched CRC, adjacent non-cancerous colonic mucosa, and stool cohort studies for metabolite profiling are needed to validate these small molecule differences and metabolic pathway aberrations for clinical application to CRC control, treatment, and prevention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 381 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
France 1 <1%
Germany 1 <1%
Unknown 378 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 95 25%
Student > Ph. D. Student 59 15%
Student > Master 41 11%
Researcher 37 10%
Student > Doctoral Student 16 4%
Other 42 11%
Unknown 91 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 81 21%
Agricultural and Biological Sciences 54 14%
Medicine and Dentistry 29 8%
Chemistry 26 7%
Engineering 18 5%
Other 63 17%
Unknown 110 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2023.
All research outputs
#6,867,442
of 24,885,505 outputs
Outputs from Cancer & Metabolism
#78
of 222 outputs
Outputs of similar age
#103,327
of 347,750 outputs
Outputs of similar age from Cancer & Metabolism
#3
of 6 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 222 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.3. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 347,750 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.