Summary of Study ST001152
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 PR000771. The data can be accessed directly via it's Project DOI: 10.21228/M8197Z 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 | ST001152 |
| Study Title | Metabolomic Analysis of Liver Tissues for Characterization of Hepatocellular Carcinoma |
| Study Summary | Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer causing more than half a million annual deaths world-wide. Understanding the molecular mechanisms contributing to HCC development and progression is highly desirable for improved surveillance, diagnosis and treatment. Liver tissue metabolomics has the potential to reflect the physiological changes behind HCC development. Also, it allows researchers to investigate racial disparities in HCC. The use of both gas chromatography – mass spectrometry (GC-MS) and liquid chromatography – mass spectrometry (LC-MS) platforms helps increase the metabolome coverage, allowing researchers to better unravel the relationships of metabolites and HCC. The objective of this study is to identify HCC-associated metabolites by analysis of liver tissues from HCC patients using both GC-MS and LC-MS platforms. Paired tumor and non-tumor tissues from 40 patients were analyzed by GC-MS and LC-MS. The patients consist of 14 African-Americans (AA), 10 Asian-Americans (AS), and 16 European-Americans (EA). The levels of the metabolites extracted from the solid liver tissue of the HCC area and adjacent non-HCC area were compared. Among the analytes detected by GC-MS and LC-MS with significant alterations, 17 were selected based on availability of putative metabolite identifications. These metabolites belong to TCA cycle, glycolysis, purines, and lipid metabolism, and have been previously reported in liver metabolomics studies where high correlation with HCC progression was implied. We demonstrated that metabolites that are related to HCC pathogenesis can be identified through metabolomics analysis of liver tissues by both GC-MS and LC-MS. In addition, this analysis has led to the identification of metabolites associated with HCC in a race-specific manner. |
| Institute | Georgetown University |
| Department | Oncology |
| Laboratory | Ressom Lab |
| Last Name | Di Poto |
| First Name | Cristina |
| Address | 3970 Reservoir Rd. NW, Research Bldg., Room W325 |
| cd329@georgetown.edu | |
| Phone | 2026872926 |
| Submit Date | 2019-03-07 |
| Num Groups | 4 |
| Total Subjects | 40 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | cdf, raw(Waters) |
| Analysis Type Detail | GC-MS/LC-MS |
| Release Date | 2020-03-03 |
| Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Combined analysis:
| Analysis ID | AN001900 | AN001901 | AN001902 |
|---|---|---|---|
| Analysis type | MS | MS | MS |
| Chromatography type | GC | Reversed phase | Reversed phase |
| Chromatography system | Agilent 7890A | Waters Acquity | Waters Acquity |
| Column | Agilent DB5-MS (30m x 0.25mm, 0.25um) | Waters Acquity CSH C18 (100 x 2.1mm,1.7um) | Waters Acquity CSH C18 (100 x 2.1mm,1.7um) |
| MS Type | EI | ESI | ESI |
| MS instrument type | GC-TOF | QTOF | QTOF |
| MS instrument name | Leco Pegasus HT TOF | Waters Synapt G2 Si QTOF | Waters Synapt G2 Si QTOF |
| Ion Mode | POSITIVE | POSITIVE | NEGATIVE |
| Units | Da | Da | Da |
MS:
| MS ID: | MS001756 |
| Analysis ID: | AN001900 |
| Instrument Name: | Leco Pegasus HT TOF |
| Instrument Type: | GC-TOF |
| MS Type: | EI |
| MS Comments: | Software Chromatof |
| Ion Mode: | POSITIVE |
| MS ID: | MS001757 |
| Analysis ID: | AN001901 |
| Instrument Name: | Waters Synapt G2 Si QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Software XCMS |
| Ion Mode: | POSITIVE |
| MS ID: | MS001758 |
| Analysis ID: | AN001902 |
| Instrument Name: | Waters Synapt G2 Si QTOF |
| Instrument Type: | QTOF |
| MS Type: | ESI |
| MS Comments: | Software XCMS |
| Ion Mode: | NEGATIVE |
