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©The Author(s) 2021. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Dec 16, 2021; 9(35): 10884-10898
Published online Dec 16, 2021. doi: 10.12998/wjcc.v9.i35.10884
Published online Dec 16, 2021. doi: 10.12998/wjcc.v9.i35.10884
Development of a lipid metabolism-related gene model to predict prognosis in patients with pancreatic cancer
Hong Xu, Jian Sun, Ling Zhou, Qian-Cheng Du, Hui-Ying Zhu, Yang Chen, Xin-Yu Wang, General Surgery, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai 200434, China
Author contributions: Xu H and Wang XY performed the surgery; Sun J and Zhou L designed the study; Du QC, Zhu HY and Chen Y wrote the paper; Xu H and Wang XY were responsible for analyzing the data; all authors have read and approved the final manuscript.
Supported by Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine Discipline Boosting Plan , No. SY-XKZT-2019-1006 .
Institutional review board statement: The study was reviewed and approved by the Shanghai Fourth People’s Hospital Institutional Review Board (No. 2019057-001).
Conflict-of-interest statement: The authors declare no conflicts of interest.
Data sharing statement: No additional data are available.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work noncommercially, and license their derivative works on different terms, provided the original work is properly cited and the use is noncommercial. See: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Xin-Yu Wang, MD, Attending Doctor, General Surgery, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, No. 1279 Sanmen Road, Hongkou District, Shanghai 200434, China. wang_xinyuvip@163.com
Received: June 25, 2021
Peer-review started: June 25, 2021
First decision: August 19, 2021
Revised: September 1, 2021
Accepted: October 27, 2021
Article in press: October 27, 2021
Published online: December 16, 2021
Processing time: 167 Days and 16.5 Hours
Peer-review started: June 25, 2021
First decision: August 19, 2021
Revised: September 1, 2021
Accepted: October 27, 2021
Article in press: October 27, 2021
Published online: December 16, 2021
Processing time: 167 Days and 16.5 Hours
Core Tip
Core Tip: Pancreatic malignant tumors are a highly heterogeneous disease and the seventh leading cause of cancer-related death. Lipid metabolomics analysis suggests differences in lipid metabolites in pancreatic cancer, and the occurrence and development of pancreatic cancer might be linked to lipid metabolism. A cohort from TCGA was used to construct a novel predictive model of a 4-lipid metabolism-related gene signature, which can be used to predict the prognosis of pancreatic cancer.