Summary of Study ST000396
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 PR000309. The data can be accessed directly via it's Project DOI: 10.21228/M86G6V This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Study ID | ST000396 |
| Study Title | Lung Cancer Plasma Discovery |
| Study Summary | Recently, major efforts have been directed toward early detection of lung cancer through low-dose computed tomography (LDCT) scanning. Data from the National Lung Screening Trial (NLST) suggest that yearly screening with thoracic LDCT scanning for high-risk current and former smokers reduces lung cancer mortality by 20% and total mortality by 7%. However, issues including indeterminate nodules detected by LDCT and radiation exposure impact the practicality of LDCT-based screening on a national and global basis. A blood-based biomarker or multiplexed marker panel that could complement LDCT would represent a major advance in implementing lung cancer screening. Efforts to develop blood-based biomarkers for lung cancer early detection using a variety of methodologies are currently ongoing. Proteomic studies have led to the identification of several candidate markers including pro-surfactantproteinB(pro-SFTPB), a target of a lineage-survival oncogene in lung cancer, NKX2-1.Validation studies using blood samples collected at the time of LDCT screening for lung cancer substantiated the performance of pro-SFTPB. Multivariable logistic regression models were used to evaluate the predictive ability of pro-SFTPB. The area under the curve (AUC) values of the full model with and without pro-SFTPB were 0.741 (95% CI, 0.696 to 0.783) and 0.669 (95%CI, 0.620 to 0.717), respectively (difference in AUC, P_.001). Single markers are unlikely to have sufficient performance for implementation in a screening setting, hence the need to explore several discovery platforms to identify markers that provide complementary performance. Metabolomics represents a global unbiased approach to the profiling of small molecules and has been established as a platform for biomarker discovery for a variety of human biofluids and tissues. Here we used an untargeted liquid chromatography/mass spectrometry (MS) metabolomics approach to identify metabolites that distinguish human sera collected before the diagnosis of lung cancer from matched control sera in a prospective cohort of highrisk patients from the Beta-Carotene and Retinol Efficacy Trial (CARET). |
| 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 | 2016-05-10 |
| Raw Data Available | Yes |
| Raw Data File Type(s) | cdf |
| Analysis Type Detail | GC-MS |
| Release Date | 2016-06-18 |
| Release Version | 2 |
| Release Comments | Updated study design factors |
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Collection:
| Collection ID: | CO000411 |
| Collection Summary: | In total, 208 patients with lung cancer were selected from 222 patients with non–small-cell lung cancer (NSCLC) with serum available in the CARET repository from blood draws that occurred up to 12 months before diagnosis. Fourteen patients with insufficient sample available for the study were excluded.Two control individuals who were free of lung cancer were matched to each patient case on age at baseline (5-year groups), sex, baseline smoking status (current v former), and study enrollment phase (pilot [1985 to 1988] or full-scale trial [1989 to 1994], thus accounting for sample storage time). For one patient, only a single control could be matched, resulting in a total of 208 patients and 415 controls included in the study. The samples were divided into two sets; samples from 100 matched sets were used for biomarker discovery (the discovery set), and the remaining 108 matched sets were reserved for validation of markers identified by the discovery efforts (the validation set). All CARET participants provided informed consent at recruitment and throughout follow-up, and the institutional review boards at each of the six study centers approved all study procedures. |
| Collection Protocol Filename: | JCO-2015-Wikoff-3880-6.pdf |
| Sample Type: | Blood |
| Blood Serum Or Plasma: | Plasma |
