Summary of Study ST001527
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 PR001028. The data can be accessed directly via it's Project DOI: 10.21228/M8T99V This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Study ID | ST001527 |
Study Title | Lung cancer metabolomics analysis |
Study Summary | This study explored models predictive of staging and chemotherapy response based on metabolomic analysis of fresh, patient-derived non-small cell lung cancer (NSCLC) core biopsies. Prospectively collected tissue samples before initial treatment were evaluated with high-resolution 2DLC-MS/MS and 13C-glucose enrichment, and the data were comprehensively analyzed with machine learning techniques. Patients were categorized as Disease-Control (DC) [encompassing complete-response (CR), partial-response (PR), and stable-disease (SD)] and Progressive-Disease (PD). Four major types of learning methods (partial least squares discriminant analysis (PLS-DA), support vector machines (SVM), artificial neural networks, and random forests) were applied to differentiate between positive (DC and CR/PR) and poor (PD and SD/PD) responses, and between stage I/II/III and stage IV disease. Models were trained with forward feature selection based on variable importance and tested on validation subsets. |
Institute | University of Louisville |
Department | Bioengineering |
Last Name | Frieboes |
First Name | Hermann |
Address | Lutz Hall 419 |
hbfrie01@louisville.edu | |
Phone | 502-852-3302 |
Submit Date | 2020-09-16 |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Analysis Type Detail | LC-MS |
Release Date | 2022-08-01 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001028 |
Project DOI: | doi: 10.21228/M8T99V |
Project Title: | Lung cancer metabolomics analysis |
Project Type: | MS untargeted analysis |
Project Summary: | This study explored models predictive of staging and chemotherapy response based on metabolomic analysis of fresh, patient-derived non-small cell lung cancer (NSCLC) core biopsies. Prospectively collected tissue samples before initial treatment were evaluated with high-resolution 2DLC-MS/MS and the data were comprehensively analyzed with machine learning techniques. Patients were categorized as Disease-Control (DC) [encompassing complete-response (CR), partial-response (PR), and stable-disease (SD)] and Progressive-Disease (PD). Four major types of learning methods (partial least squares discriminant analysis (PLS-DA), support vector machines (SVM), artificial neural networks, and random forests) were applied to differentiate between positive (DC and CR/PR) and poor (PD and SD/PD) responses, and between stage I/II/III and stage IV disease. Models were trained with forward feature selection based on variable importance and tested on validation subsets. |
Institute: | University of Louisville |
Department: | Bioengineering |
Last Name: | Frieboes |
First Name: | Hermann |
Address: | Lutz Hall 419 |
Email: | hbfrie01@louisville.edu |
Phone: | 502-852-3302 |
Funding Source: | NIH/NCI R15CA203605 |
Subject:
Subject ID: | SU001601 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
mb_sample_id | local_sample_id | Tumor_staging_before_chemo | Chemo_response_numeric |
---|---|---|---|
SA128667 | CDSR01292-01_neg | 1 | - |
SA128668 | N032_neg | 1 | - |
SA128669 | N023_pos | 1 | - |
SA128670 | N032_pos | 1 | - |
SA128671 | N023_neg | 1 | - |
SA128672 | CDSR01292-01_pos | 1 | - |
SA128673 | CDSR00861_01_pos | 1 | 1 |
SA128674 | CDSR00861_01_neg | 1 | 1 |
SA128675 | N026_pos | 1 | 1 |
SA128676 | N026_neg | 1 | 1 |
SA128677 | CDSR01154-01_pos | 1 | 3 |
SA128678 | CDSR01154-01_neg | 1 | 3 |
SA128679 | CDSR01257-01_pos | 2 | - |
SA128680 | CDSR01257-01_neg | 2 | - |
SA128681 | N039_neg | 2 | - |
SA128682 | N051_pos | 2 | - |
SA128683 | N039_pos | 2 | - |
SA128684 | N051_neg | 2 | - |
SA128685 | CDSR01092-01_pos | 2 | 1 |
SA128686 | CDSR01092-01_neg | 2 | 1 |
SA128687 | CDSR00877_01_pos | 2 | 2 |
SA128688 | CDSR00877_01_neg | 2 | 2 |
SA128689 | CDSR01563-01_pos | 3 | - |
SA128690 | CDSR01563-01_neg | 3 | - |
SA128691 | CDSR01197-01_pos | 3 | - |
SA128692 | CDSR01197-01_neg | 3 | - |
SA128693 | N010_neg | 3 | 2 |
SA128694 | N020_neg | 3 | 2 |
SA128695 | N020_pos | 3 | 2 |
SA128696 | N003_pos | 3 | 2 |
SA128697 | N003_neg | 3 | 2 |
SA128698 | N010_pos | 3 | 2 |
SA128699 | CDSR01256-01_pos | 3 | 3 |
SA128700 | CDSR01382-01_pos | 3 | 3 |
SA128701 | CDSR00894_01_neg | 3 | 3 |
SA128702 | CDSR01042_01_pos | 3 | 3 |
SA128703 | CDSR01042_01_neg | 3 | 3 |
SA128704 | N034_pos | 3 | 3 |
SA128705 | CDSR01382-01_neg | 3 | 3 |
SA128706 | N034_neg | 3 | 3 |
SA128707 | CDSR00894_01_pos | 3 | 3 |
SA128708 | CDSR01256-01_neg | 3 | 3 |
SA128709 | CDSR01155-01_neg | 3 | 4 |
SA128710 | CDSR01155-01_pos | 3 | 4 |
SA128711 | N045_neg | 4 | - |
SA128712 | N045_pos | 4 | - |
SA128713 | CDSR01405-01_neg | 4 | - |
SA128714 | CDSR01156-01_pos | 4 | - |
SA128715 | CDSR01405-01_pos | 4 | - |
SA128716 | CDSR01156-01_neg | 4 | - |
SA128717 | CDSR01177-01_pos | 4 | 2 |
SA128718 | N035_pos | 4 | 2 |
SA128719 | CDSR01177-01_neg | 4 | 2 |
SA128720 | N046_pos | 4 | 2 |
SA128721 | N018_pos | 4 | 2 |
SA128722 | N046_neg | 4 | 2 |
SA128723 | N035_neg | 4 | 2 |
SA128724 | N018_neg | 4 | 2 |
SA128725 | N004_pos | 4 | 3 |
SA128726 | CDSR01192-01_neg | 4 | 3 |
SA128727 | N004_neg | 4 | 3 |
SA128728 | CDSR01192-01_pos | 4 | 3 |
SA128729 | CDSR01023_01_pos | 4 | 4 |
SA128730 | CDSR01023_01_neg | 4 | 4 |
SA128731 | CDSR01291-01_pos | 4 | 4 |
SA128732 | CDSR01202-02_neg | 4 | 4 |
SA128733 | CDSR01202-02_pos | 4 | 4 |
SA128734 | CDSR01291-01_neg | 4 | 4 |
SA128663 | N030_neg | - | - |
SA128664 | N017_pos | - | - |
SA128665 | N017_neg | - | - |
SA128666 | N030_pos | - | - |
Showing results 1 to 72 of 72 |
Collection:
Collection ID: | CO001596 |
Collection Summary: | Tumor tissue samples were placed in a 1.8mL cryovial with either DMEM or RPMI cell culture medium and kept on ice during transport. In the laboratory, they were immediately placed into 1mL 13C labeled glucose medium in 24-well cell culture plate and incubated at 5% CO2 and 37oC on a shaker for 24h. |
Sample Type: | Tumor cells |
Treatment:
Treatment ID: | TR001616 |
Treatment Summary: | Patients received chemotherapy post tumor tissue collection. Chemotherapy varied based on patient-specific conditions. Information regarding chemotherapy outcome in terms of complete regression (1), partial regression (2), stable disease (3), or progressive disease (4) was collected after chemotherapy regimen was completed. |
Sample Preparation:
Sampleprep ID: | SP001609 |
Sampleprep Summary: | After incubation, media and tissue sample were transferred to 1.5mL microcentrifuge tube and centrifuged for 5min. 13C-glucose media was aspirated and specimen was washed with PBS and centrifuged for 5min, twice. After wash, 500mL acetonitrile was added and tissue was homogenized with pellet mixer. After 2-3min homogenization, 376mL of DNase/RNase free water and 250mL chloroform were added. Contents were vortexed until milky-white color and centrifuged for 20min. Top (polar) layer was aspirated and frozen at -80oC. As control, a NSCLC tissue biopsy was incubated in unlabeled glucose media for 24h and processed likewise. Sample polar layers were flash frozen in liquid N2, then lyophilized for 24-48h until dried |
Combined analysis:
Analysis ID | AN002548 | AN002549 |
---|---|---|
Analysis type | MS | MS |
Chromatography type | Unspecified | Unspecified |
Chromatography system | Thermo Dionex Ultimate 3000 | Thermo Dionex Ultimate 3000 |
Column | Thermo Accucore HILIC (100 x 2.1mm,2.6um) | Thermo Accucore HILIC (100 x 2.1mm,2.6um) |
MS Type | ESI | ESI |
MS instrument type | Single quadrupole | Single quadrupole |
MS instrument name | Thermo Q Exactive HF hybrid Orbitrap | Thermo Q Exactive HF hybrid Orbitrap |
Ion Mode | NEGATIVE | POSITIVE |
Units | peak intensity | peak intensity |
Chromatography:
Chromatography ID: | CH001866 |
Chromatography Summary: | Used a reversed phase chromatography (RPC) column and a hydrophilic interaction chromatography (HILIC) column configured to form a parallel 2DLC-MS system |
Instrument Name: | Thermo Dionex Ultimate 3000 |
Column Name: | Thermo Accucore HILIC (100 x 2.1mm,2.6um) |
Chromatography Type: | Unspecified |
MS:
MS ID: | MS002366 |
Analysis ID: | AN002548 |
Instrument Name: | Thermo Q Exactive HF hybrid Orbitrap |
Instrument Type: | Single quadrupole |
MS Type: | ESI |
MS Comments: | - |
Ion Mode: | NEGATIVE |
MS ID: | MS002367 |
Analysis ID: | AN002549 |
Instrument Name: | Thermo Q Exactive HF hybrid Orbitrap |
Instrument Type: | Single quadrupole |
MS Type: | ESI |
MS Comments: | - |
Ion Mode: | POSITIVE |