Summary of Study ST001087
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR000726. The data can be accessed directly via it's Project DOI: 10.21228/M8TX0N This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST001087 |
Study Title | Metabolomics and 16S rRNA sequencing of human colorectal cancers and adjacent mucosa |
Study Summary | Colorectal cancer (CRC) is ranked the third most common cancer in human worldwide. However, the exact mechanisms of CRC are not well established. Furthermore, there may be differences between mechanisms of CRC in the Asian and in the Western populations. In the present study, we utilized a liquid chromatography-mass spectrometry (LC-MS) metabolomic approach supported by the 16S rRNA next-generation sequencing to investigate the functional and taxonomical differences between paired tumor and unaffected (normal) surgical biopsy tissues from 17 Malaysian patients. Metabolomic differences associated with steroid biosynthesis, terpenoid biosynthesis and bile metabolism could be attributed to microbiome differences between normal and tumor sites. The relative abundances of Anaerotruncus, Intestinimonas and Oscillibacter displayed significant relationships with both steroid biosynthesis and terpenoid and triterpenoid biosynthesis pathways. Metabolites involved in serotonergic synapse/ tryptophan metabolism (Serotonin and 5-Hydroxy-3-indoleacetic acid [5-HIAA]) were only detected in normal tissue samples. On the other hand, S-Adenosyl-L-homocysteine (SAH), a metabolite involves in methionine metabolism and methylation, was frequently increased in tumor relative to normal tissues. In conclusion, this study suggests that local microbiome dysbiosis may contribute to functional changes at the cancer sites. Results from the current study also contributed to the list of metabolites that are found to differ between normal and tumor sites in CRC and supported our quest for understanding the mechanisms of carcinogenesis. |
Institute | University of Malaya |
Last Name | Loke |
First Name | Mun Fai |
Address | Department of Medical Microbiology, Faculty of Medicine, Kuala Lumpur, Federal Territory, 50603, Malaysia |
lmunfai@gmail.com | |
Phone | 83880014 |
Submit Date | 2018-10-28 |
Num Groups | 4 |
Total Subjects | 17 |
Num Males | 7 |
Num Females | 10 |
Analysis Type Detail | LC-MS |
Release Date | 2018-12-11 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
Analysis ID | AN001772 |
---|---|
Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Agilent 1260 |
Column | Agilent Zorbax Eclipse Plus C18 (100 x 2.1mm, 1.8 um) |
MS Type | ESI |
MS instrument type | QTOF |
MS instrument name | Agilent 6540 QTOF |
Ion Mode | UNSPECIFIED |
Units | peak area |
Chromatography:
Chromatography ID: | CH001252 |
Instrument Name: | Agilent 1260 |
Column Name: | Agilent Zorbax Eclipse Plus C18 (100 x 2.1mm, 1.8 um) |
Column Temperature: | 30 |
Flow Gradient: | t= 0 min, 5% B; t=2 min, 5% B; t=15 min, 98% B; t=18min, 98%; t=20 min, 5% B and the final stop time, t=25 min, 5% B |
Flow Rate: | 0.45 mL/min |
Solvent A: | 100% water; 0.1% formic acid |
Solvent B: | 100% acetonitrile; 0.1% formic acid |
Chromatography Type: | Reversed phase |