Summary of Study ST000388
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 PR000304. The data can be accessed directly via it's Project DOI: 10.21228/M8RC8J This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST000388 |
| Study Title | Serum phosphatidylethanolamine levels distinguish benign from malignant solitary pulmonary nodules and represent a potential diagnostic biomarker for lung cancer (part I) |
| Study Summary | Recent computed tomography (CT) screening trials showed that it is effective for early detection of lung cancer, but were plagued by high false positive rates. Additional blood biomarker tests designed to complement CT screening and reduce false positive rates are highly desirable. In the current study, we expand upon our initial experimental findings as part of the discovery phase by evaluating metabolites in serum from subjects with benign or malignant SPNs using a combined approach of gas chromatography time-of-flight mass spectrometry (GC-TOFMS) and hydrophilic liquid chromatography accurate mass quadrupole time-of-flight mass spectrometry (HILIC-qTOFMS). Furthermore, we evaluated serum collected pre-diagnosis and at-diagnosis of lung cancer in addition to samples obtained post-surgical intervention from subjects with malignant SPNs (post-diagnosis). We hypothesize that our systems biology approach to identify candidate metabolomics biomarkers will ultimately lead to improved early detection of lung cancer and can be used in as a companion blood test to LDCT screening. |
| Institute | University of California, Davis |
| Department | Genome and Biomedical Sciences Facility |
| Laboratory | WCMC Metabolomics Core |
| Last Name | Fiehn |
| First Name | Oliver |
| Address | 1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis, CA 95616 |
| ofiehn@ucdavis.edu | |
| Phone | (530) 754-8258 |
| Submit Date | 2016-04-26 |
| Publications | doi: 10.3233/CBM-160602. |
| Raw Data Available | Yes |
| Raw Data File Type(s) | d |
| Analysis Type Detail | LC-MS |
| Release Date | 2016-05-01 |
| Release Version | 2 |
| Release Comments | Updated study design factors |
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Project:
| Project ID: | PR000304 |
| Project DOI: | doi: 10.21228/M8RC8J |
| Project Title: | Serum phosphatidylethanolamine levels distinguish benign from malignant solitary pulmonary nodules and represent a potential diagnostic biomarker for lung cancer. |
| Project Summary: | Recent computed tomography (CT) screening trials showed that it is effective for early detection of lung cancer, but were plagued by high false positive rates. Additional blood biomarker tests designed to complement CT screening and reduce false positive rates are highly desirable. In the current study, we expand upon our initial experimental findings as part of the discovery phase by evaluating metabolites in serum from subjects with benign or malignant SPNs using a combined approach of gas chromatography time-of-flight mass spectrometry (GC-TOFMS) and hydrophilic liquid chromatography accurate mass quadrupole time-of-flight mass spectrometry (HILIC-qTOFMS). Furthermore, we evaluated serum collected pre-diagnosis and at-diagnosis of lung cancer in addition to samples obtained post-surgical intervention from subjects with malignant SPNs (post-diagnosis). We hypothesize that our systems biology approach to identify candidate metabolomics biomarkers will ultimately lead to improved early detection of lung cancer and can be used in as a companion blood test to LDCT screening. |
| Institute: | University of California, Davis |
| Department: | Genome and Biomedical Sciences Facility |
| Laboratory: | WCMC Metabolomics Core |
| Last Name: | Fiehn |
| First Name: | Oliver |
| Address: | 1315 Genome and Biomedical Sciences Facility, 451 Health Sciences Drive, Davis, CA 95616 |
| Email: | ofiehn@ucdavis.edu |
| Phone: | (530) 754-8258 |
| Funding Source: | NIH U24DK097154 |
| Publications: | doi: 10.3233/CBM-160602. |
