Summary of Study ST002420

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 PR001558. The data can be accessed directly via it's Project DOI: 10.21228/M89M65 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.

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Study IDST002420
Study TitleColorectal cancer isobaric labeling for metabolite quantification
Study SummaryA major challenge in reducing the death rate of colorectal cancer is to screen patients using low-invasive testing. Blood test shows a high compliance rate with reduced invasiveness. In this work, a multiplex isobaric tag labeling strategy coupled with mass spectrometry is adopted to relatively quantify primary and secondary amine-containing metabolites in serum for the discovery of metabolite biomarkers of colorectal cancer. Serum samples from patients at different risk statuses and colorectal cancer growth statuses are studied. Metabolite identification is based on accurate mass matching and/or retention time of labeled metabolite standards. We quantify 40 metabolites across all the serum samples, including 18 metabolites validated with standards. We find significantly decreased levels of threonine and asparagine in the patients with growing adenomas or high-risk adenomas (p < 0.05). Glutamine levels decrease in patients with adenomas of unknown growth status or high-risk adenomas. In contrast, arginine levels are elevated in patients with low-risk adenoma. Receiver operating characteristic analysis shows high sensitivity and specificity of these metabolites for detecting growing adenomas. Based on these results, we conclude that potential metabolite biomarkers identified here contribute to distinguishing colorectal patients with growing adenomas from normal individuals and patients with unknown growth status of adenomas.
Institute
University of Wisconsin-Madison
Last NameLiu
First NameYuan
Address777 Highland ave, Madison, Wisconsin, 53705, USA
Emailliu788@wisc.edu
Phone6089606939
Submit Date2022-12-28
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2023-03-31
Release Version1
Yuan Liu Yuan Liu
https://dx.doi.org/10.21228/M89M65
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001558
Project DOI:doi: 10.21228/M89M65
Project Title:Isobaric labeling metabolites CRC studies
Project Type:MS relative quantitative analysis
Project Summary:Isobaric labeling-based relative quantification for the discovery of serum metabolite biomarkers associated with growing early colorectal adenomas
Institute:University of Wisconsin - Madison
Last Name:Liu
First Name:Yuan
Address:777 Highland ave, Madison, Wisconsin, 53705, USA
Email:liu788@wisc.edu
Phone:6089606939

Subject:

Subject ID:SU002509
Subject Type:Human
Subject Species:Homo sapiens
Taxonomy ID:9606
Gender:Male and female
Species Group:Mammals

Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id local_sample_id classification_based on growth rate classification_based on risks
SA242323N14control control
SA242324N13control control
SA242325N11control control
SA242326N15control control
SA242327N12control control
SA242328N17control control
SA242329N10control control
SA242330N19control control
SA242331N18control control
SA242332N20control control
SA242333N16control control
SA242334N5control control
SA242335N9control control
SA242336N2control control
SA242337N1control control
SA242338N4control control
SA242339N3control control
SA242340N6control control
SA242341N8control control
SA242342N7control control
SA24228123_preGrowing High‐risk
SA24228223_postGrowing High‐risk
SA24228319_postGrowing High‐risk
SA24228419_preGrowing High‐risk
SA24228515_postGrowing High‐risk
SA24228624_preGrowing High‐risk
SA24228725_postGrowing High‐risk
SA24228833_preGrowing High‐risk
SA24228933_postGrowing High‐risk
SA24229028_postGrowing High‐risk
SA24229128_preGrowing High‐risk
SA24229215_preGrowing High‐risk
SA24229325_preGrowing High‐risk
SA24229424_postGrowing High‐risk
SA2422955_preGrowing High‐risk
SA2422968_postGrowing High‐risk
SA2422975_postGrowing High‐risk
SA2422988_preGrowing High‐risk
SA2422997_postGrowing High‐risk
SA2423007_preGrowing High‐risk
SA2423432_postgrowing Low‐Risk
SA2423442_pregrowing Low‐Risk
SA2423019_preGrowing Low‐Risk
SA24230218_postGrowing Low‐Risk
SA24230332_postGrowing Low‐Risk
SA24230432_preGrowing Low‐Risk
SA2423059_postGrowing Low‐Risk
SA24230618_preGrowing Low‐Risk
SA24234520_poststatic High‐risk
SA24234620_prestatic High‐risk
SA2423071_postStatic Low‐Risk
SA2423083_postStatic Low‐Risk
SA2423093_preStatic Low‐Risk
SA2423101_preStatic Low‐Risk
SA24231110_postUnknown High‐risk
SA24231229_postUnknown High‐risk
SA24231329_preUnknown High‐risk
SA24231412_postUnknown High‐risk
SA24231512_preUnknown High‐risk
SA24231621_postUnknown High‐risk
SA24231721_preUnknown High‐risk
SA24231810_preUnknown High‐risk
SA24231911_postUnknown Low‐Risk
SA24232026_preUnknown Low‐Risk
SA24232126_postUnknown Low‐Risk
SA24232211_preUnknown Low‐Risk
Showing results 1 to 66 of 66

Collection:

Collection ID:CO002502
Collection Summary:Serum samples were thawed on ice and centrifuged at 2000 g for 10 min to remove particulates and debris. Molecular weight cut-off filters (MWCO, 3 kDa, Millipore Amicon Ultra, Burlington, MA) were prerinsed 3 times with optima water at 14000 g for 20 min. Twenty microliter serum supernatant from each sample was diluted in 380 µl water and added to the filter then centrifuged for 20 min at 14000 g. Flowthrough was collected. Then 400 µL water was added to the filter to rinse the sample. An additional rinse step was applied. All the flowthrough (about 1.2 mL) was combined and dried down in Speedvac and stored at −20 °C until labeling. For normalization, a pooled serum sample from screening normal individuals was also prepared. For labeling of serum samples, 40 µL activated DiLeu reagents were mixed with serum flowthrough dissolved in 10 µL 0.5 M TEAB and shaken for 2 h. After the reaction was quenched, 2.5 µL of each reaction mixture with different DiLeu tags were combined at 1: 1: 1: 1 ratio and mixed well. To compare the relative abundance of each set of 4-plex DiLeu labeled metabolites, one channel from each 4-plex combination was selected and combined with 118-DiLeu tag labeled pooled serum samples. Ten µL of the mixture was taken for drying down and desalted using SCX Ziptips. Samples were dissolved in 15 µL 0.1% FA and 3 µL was injected into LC-MS for data acquisition with 3 technical replicates.
Collection Protocol Filename:methods.txt
Sample Type:Blood (serum)

Treatment:

Treatment ID:TR002521
Treatment Summary:Among the 23 patients carrying adenomas, 15 patients were classified histologically as high-risk and the remaining 8 patients were classified as low-risk cases. In the high-risk cases, 10 were classified as growing by longitudinal CTC analysis, one as static, and 4 as unknown growth status.

Sample Preparation:

Sampleprep ID:SP002515
Sampleprep Summary:Serum samples were thawed on ice and centrifuged at 2000 g for 10 min to remove particulates and debris. Molecular weight cut-off filters (MWCO, 3 kDa, Millipore Amicon Ultra, Burlington, MA) were prerinsed 3 times with optima water at 14000 g for 20 min. Twenty microliter serum supernatant from each sample was diluted in 380 µl water and added to the filter then centrifuged for 20 min at 14000 g. Flowthrough was collected. Then 400 µL water was added to the filter to rinse the sample. An additional rinse step was applied. All the flowthrough (about 1.2 mL) was combined and dried down in Speedvac and stored at −20 °C until labeling. For normalization, a pooled serum sample from screening normal individuals was also prepared. For labeling of serum samples, 40 µL activated DiLeu reagents were mixed with serum flowthrough dissolved in 10 µL 0.5 M TEAB and shaken for 2 h. After the reaction was quenched, 2.5 µL of each reaction mixture with different DiLeu tags were combined at 1: 1: 1: 1 ratio and mixed well. To compare the relative abundance of each set of 4-plex DiLeu labeled metabolites, one channel from each 4-plex combination was selected and combined with 118-DiLeu tag labeled pooled serum samples. Ten µL of the mixture was taken for drying down and desalted using SCX Ziptips. Samples were dissolved in 15 µL 0.1% FA and 3 µL was injected into LC-MS for data acquisition with 3 technical replicates.

Combined analysis:

Analysis ID AN003941
Analysis type MS
Chromatography type Reversed phase
Chromatography system Waters NanoAcquity
Column Waters ACQUITY UPLC BEH C18 (150 mm x 75 μm, 1.7 μm, 150 Å)
MS Type ESI
MS instrument type Orbitrap
MS instrument name Thermo Q Exactive Orbitrap
Ion Mode POSITIVE
Units 1

Chromatography:

Chromatography ID:CH002918
Chromatography Summary:Four-plex pooled samples were reconstituted in 0.1% formic acid before injection. The HPLC-MS/MS analysis was conducted using a Waters nanoACQUITY UPLC coupled with Thermo Q Exactive Orbitrap MS. The separation column was in-house made with an emitter tip and dimensions of 75 μm inner diameter × 15 cm length. The column was packed with 1.7 μm, 150 Å, ethylene-bridged-hybrid (BEH) C18 material (Waters, Milford, MA). Mobile phase A was water containing 0.1% formic acid, and mobile phase B was acetonitrile containing 0.1% formic acid. The flow rate was set as 0.3 μL/min, and the LC gradient was 55 min and set as follows: 0−10 min, 3%-30% solvent B; 10−30 min, 30−80% B; 30-30.5 min, 80%-95% B; 30.5− 40.5 min, 95% B; 40.5−41 min, 95%-3% B; 41-55 min, 3% B. Positive ionization mode was used and full MS scans were acquired from m/z 180 to 800 at a resolution of 60 k, automatic gain control (AGC) was set as 5x 10^5, and a maximum injection time as set as 30 ms. The top 20 precursors were selected for normalized collision energy (NCE) dissociation (NCE = 30) with an isolation window of m/z 1, fixed first m/z 110, dynamic exclusion of 5 seconds, charge exclusion of >2, and a resolution of 35 k.
Instrument Name:Waters NanoAcquity
Column Name:Waters ACQUITY UPLC BEH C18 (150 mm x 75 μm, 1.7 μm, 150 Å)
Column Temperature:Room temperature
Flow Gradient:LC gradient was 55 min and set as follows: 0−10 min, 3%-30% solvent B; 10−30 min, 30−80% B; 30-30.5 min, 80%-95% B; 30.5− 40.5 min, 95% B; 40.5−41 min, 95%-3% B; 41-55 min, 3% B.
Flow Rate:0.3 μL/min
Solvent A:100% water; 0.01% formic acid
Solvent B:100% acetonitrile; 0.01% formic acid
Chromatography Type:Reversed phase

MS:

MS ID:MS003677
Analysis ID:AN003941
Instrument Name:Thermo Q Exactive Orbitrap
Instrument Type:Orbitrap
MS Type:ESI
MS Comments:Positive ionization mode was used and full MS scans were acquired from m/z 180 to 800 at a resolution of 60 k, automatic gain control (AGC) was set as 5x 10^5, and a maximum injection time as set as 30 ms. The top 20 precursors were selected for normalized collision energy (NCE) dissociation (NCE = 30) with an isolation window of m/z 1, fixed first m/z 110, dynamic exclusion of 5 seconds, charge exclusion of >2, and a resolution of 35 k.
Ion Mode:POSITIVE
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