©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.
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.