TY - JOUR
T1 - LCMD
T2 - Lung Cancer Metabolome Database
AU - Wu, Wei Sheng
AU - Wu, Hsin Yi
AU - Wang, Pin Hsuan
AU - Chen, Ting Yu
AU - Chen, Kuan Ru
AU - Chang, Chih Wei
AU - Lee, Dong En
AU - Lin, Bo Heng
AU - Chang, William Chih Wei
AU - Liao, Pao Chi
N1 - Funding Information:
This work was supported by Ministry of Science and Technology of Taiwan [MOST 105-2923-M-006-005-MY3, MOST 107-2221-E-006-225-MY3, MOST 108-2628-E-006-004-MY3, MOST 109-2113-M-006-015, MOST 110-2113-M-006-014, and MOST 110-2221-E-006-198-MY3].
Funding Information:
The authors gratefully acknowledge the use of ICP00401 and MS004000 equipment belonging to the Core Facility Center of National Cheng Kung University. We thank National Cheng Kung University and Ministry of Science and Technology of Taiwan for their support. This work was supported by Ministry of Science and Technology of Taiwan [MOST 105-2923-M-006-005-MY3, MOST 107-2221-E-006-225-MY3, MOST 108-2628-E-006-004-MY3, MOST 109-2113-M-006-015, MOST 110-2113-M-006-014, and MOST 110-2221-E-006-198-MY3]. WSW and PCL conceived the research topic and provided essential guidance. PHW and CWC collected the 2013 metabolite information from the 65 mass spectrometry-based lung cancer metabolomics studies and prepared the graphical summaries. TYC, KRC, BHL, and DEL constructed the website. KRC and DEL prepared all the figures in the manuscript. WSW, CWC and HYW wrote the manuscript. WSW, HYW, PHW, and CWC tested the website. CWC prepared the demo video. All authors read, edited and approved the final manuscript. LCMD is freely available at http://cosbi7.ee.ncku.edu.tw/LCMD/ or http://cosbi4.ee.ncku.edu.tw/LCMD/. The complete metabolite tables and study tables can be downloaded from the Download page of LCMD website. We also deposit all the downloadable files in a public repository at Github (https://github.com/cosbi-nckuee/LCMD). Demo video can be accessed at https://youtu.be/xUb1nHDMxyY.
Publisher Copyright:
© 2021 The Authors
PY - 2022/1
Y1 - 2022/1
N2 - Lung cancer, one of the most common causes of cancer-related death worldwide, has been associated with high treatment cost and imposed great burdens. The 5-year postoperative survival rate of lung cancer (13%) is lower than many other leading cancers indicating the urgent needs to dissect its pathogenic mechanisms and discover specific biomarkers. Although several proteins have been proposed to be potential candidates for the diagnosis of lung cancer, they present low accuracy in clinical settings. Metabolomics has thus emerged as a very promising tool for biomarker discovery. To date, many lung cancer-related metabolites have been highlighted in the literature but no database is available for scientists to retrieve this information. Herein, we construct and introduce the first Lung Cancer Metabolome Database (LCMD), a freely available online database depositing 2013 lung cancer-related metabolites identified from 65 mass spectrometry-based lung cancer metabolomics studies. Researchers are able to explore LCMD via two ways. Firstly, by applying various filters in the “Browse Metabolites” mode, users can access a list of lung cancer-related metabolites that satisfy the filter specifications. For each metabolite, users can acquire the value of the fold change (cancer/normal), statistical significance (p-value) of the fold change, and the comparative research designs of all the mass spectrometry-based lung cancer metabolomics studies that identify this metabolite. Secondly, by applying various filters in the “Browse Studies” mode, users can obtain a list of mass spectrometry-based lung cancer metabolomics studies that satisfy the filter specifications. For each study, users can view the type of studied specimen, mass spectrometry (MS) method, MS data processing software, and differential analysis method, as well as all the identified lung cancer-related metabolites. Furthermore, the overview of each study is clearly illustrated by a graphical summary. The LCMD (http://cosbi7.ee.ncku.edu.tw/LCMD/) is the first database that brings together the meaningful information of lung cancer-related metabolites. The development of the LCMD is envisioned to promote the biomarker discovery of lung cancer.
AB - Lung cancer, one of the most common causes of cancer-related death worldwide, has been associated with high treatment cost and imposed great burdens. The 5-year postoperative survival rate of lung cancer (13%) is lower than many other leading cancers indicating the urgent needs to dissect its pathogenic mechanisms and discover specific biomarkers. Although several proteins have been proposed to be potential candidates for the diagnosis of lung cancer, they present low accuracy in clinical settings. Metabolomics has thus emerged as a very promising tool for biomarker discovery. To date, many lung cancer-related metabolites have been highlighted in the literature but no database is available for scientists to retrieve this information. Herein, we construct and introduce the first Lung Cancer Metabolome Database (LCMD), a freely available online database depositing 2013 lung cancer-related metabolites identified from 65 mass spectrometry-based lung cancer metabolomics studies. Researchers are able to explore LCMD via two ways. Firstly, by applying various filters in the “Browse Metabolites” mode, users can access a list of lung cancer-related metabolites that satisfy the filter specifications. For each metabolite, users can acquire the value of the fold change (cancer/normal), statistical significance (p-value) of the fold change, and the comparative research designs of all the mass spectrometry-based lung cancer metabolomics studies that identify this metabolite. Secondly, by applying various filters in the “Browse Studies” mode, users can obtain a list of mass spectrometry-based lung cancer metabolomics studies that satisfy the filter specifications. For each study, users can view the type of studied specimen, mass spectrometry (MS) method, MS data processing software, and differential analysis method, as well as all the identified lung cancer-related metabolites. Furthermore, the overview of each study is clearly illustrated by a graphical summary. The LCMD (http://cosbi7.ee.ncku.edu.tw/LCMD/) is the first database that brings together the meaningful information of lung cancer-related metabolites. The development of the LCMD is envisioned to promote the biomarker discovery of lung cancer.
UR - http://www.scopus.com/inward/record.url?scp=85121105830&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85121105830&partnerID=8YFLogxK
U2 - 10.1016/j.csbj.2021.12.002
DO - 10.1016/j.csbj.2021.12.002
M3 - Article
AN - SCOPUS:85121105830
VL - 20
SP - 65
EP - 78
JO - Computational and Structural Biotechnology Journal
JF - Computational and Structural Biotechnology Journal
SN - 2001-0370
ER -