Clinical and Translational Research
Copyright ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Jun 26, 2022; 10(18): 5984-6000
Published online Jun 26, 2022. doi: 10.12998/wjcc.v10.i18.5984
Construction and validation of a novel prediction system for detection of overall survival in lung cancer patients
Cheng Zhong, Yun Liang, Qun Wang, Hao-Wei Tan, Yan Liang
Cheng Zhong, Qun Wang, Hao-Wei Tan, Department of Respiratory, Fenghua District People’s Hospital, Ningbo 315000, Zhejiang Province, China
Yun Liang, Yan Liang, Department of Hematology and Oncology, Fengdu People's Hospital, Chongqing 408200, China
Author contributions: Zhong C and Liang Y conceptualized and designed the article; Zhong C and Wang Q analyzed and interpreted the data; Zhong C drafted of the article; Liang Y and Tang HW were responsible for critical revision of the article for important intellectual content.
Institutional review board statement: This study was approved by the Ethics Committee of the Fenghua District People’s Hospital.
Clinical trial registration statement: This study does not involve the clinical trials, so the clinical trial registration is not required.
Informed consent statement: The data that support the findings of current study are publicly available, so the signed informed consent document is not required.
Conflict-of-interest statement: The authors have no conflicts of interest to declare.
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 non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Yun Liang, MD, Attending Doctor, Department of Hematology and Oncology, Fengdu People's Hospital, No. 33 Lutang Street, Sanhe Town, Chongqing 408200, China. dr_ly123@163.com
Received: February 21, 2022
Peer-review started: February 21, 2022
First decision: March 23, 2022
Revised: March 30, 2022
Accepted: April 29, 2022
Article in press: April 29, 2022
Published online: June 26, 2022
Processing time: 116 Days and 1.6 Hours
Core Tip

Core Tip: This was a bioinformatics-based study aimed at identifying a novel system for predicting overall survival in lung cancer patients. We constructed a predictive model using Weighted Gene Co-expression Network Analysis, protein-protein interaction network, and least absolute contraction and selection operator-logistic regression analysis. And the expression of hub genes was verified by polymerase chain reaction, immunohistochemistry in lung cancer cell lines, and patient samples.