Summary of project PR001345
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 PR001345. The data can be accessed directly via it's Project DOI: 10.21228/M8VM5R This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
| Project ID: | PR001345 |
| Project DOI: | doi: 10.21228/M8VM5R |
| Project Title: | Non-Small Cell Lung Cancer Detection and Subtyping by UPLC-HRMS Based Tissue Metabolomics |
| Project Type: | non-targeted metabolomics analysis |
| Project Summary: | Non-small cell lung cancer (NSCLC) is the prevalent histological subtype of lung cancer. In this study, we performed ultraperformance liquid chromatography - high resolution mass spectrometry (UPLC-HRMS) based metabolic profiling of 227 tissue samples from 79 lung cancer patients with adenocarcinoma (AC) or squamous cell carcinoma (SCC). oPLS-DA analysis showed detections of AC, SCC and NSCLC were possible with good accuracies (91.3%, 100% and 88.3%), sensitivities (85.7%, 100% and 83.9%), and specificities (94.3%, 100% and 90.7%), respectively. Valine, sphingosine, Glu γ-methyl ester and LPC 16:0 contributed to AC detection and significantly altered in tumor. Valine, sphingosine, LPC 18:1 and leucine derivative contributed to SCC detection. Classification of AC and SCC was also possible (accuracy of 96.8%, sensitivity of 98.2% and specificity of 85.7%) with a panel of 5 metabolites, of which valine and creatine were significantly changed. The classification models were confirmed with external validation sets, showing promise for NSCLC detection and subtyping. |
| Institute: | OUC |
| Department: | Department of Medicine and Pharmacy |
| Laboratory: | Analytical chemistry |
| Last Name: | Zang |
| First Name: | Xiaoling |
| Address: | No. 5 Yushan Road, Qingdao, Shandong, China |
| Email: | zangxiaoling@ouc.edu.cn |
| Phone: | 15863037065 |
| Funding Source: | OUC |
| Project Comments: | OUC |
| Publications: | OUC |
| Contributors: | OUC |
Summary of all studies in project PR001345
| Study ID | Study Title | Species | Institute | Analysis(* : Contains Untargted data) | Release Date | Version | Samples | Download(* : Contains raw data) |
|---|---|---|---|---|---|---|---|---|
| ST002120 | Feasibility of detecting AC and SCC using UPLC-HRMS based tissue metabolomics | Homo sapiens | Ocean University of China | MS* | 2022-07-20 | 1 | 229 | Uploaded data (7.4G)* |
