Summary of project PR001028
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
| 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 |
Summary of all studies in project PR001028
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST001527 | Lung cancer metabolomics analysis | Homo sapiens | University of Louisville | MS | 2022-08-01 | 1 | 72 | Not available |
