Yang YJ, Xu XQ, Zhang YC, Hu PC, Yang WX. Establishment of a prognostic model related to tregs and natural killer cells infiltration in bladder cancer. World J Clin Cases 2023; 11(15): 3444-3456 [PMID: 37383920 DOI: 10.12998/wjcc.v11.i15.3444]
Corresponding Author of This Article
Wu-Xia Yang, MM, Doctor, The Graduate School/Department of Traditional Chinese Medicine, Tianjin Medical University/Tianjin Medical University General Hospital, Tianjin 300041, China. yangwuxia_09@tmu.edu.cn
Research Domain of This Article
Oncology
Article-Type of This Article
Clinical and Translational Research
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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: http://creativecommons.org/licenses/by-nc/4.0/
World J Clin Cases. May 26, 2023; 11(15): 3444-3456 Published online May 26, 2023. doi: 10.12998/wjcc.v11.i15.3444
Establishment of a prognostic model related to tregs and natural killer cells infiltration in bladder cancer
Yan-Jie Yang, Xiao-Qing Xu, Yi-Chao Zhang, Peng-Cheng Hu, Wu-Xia Yang
Yan-Jie Yang, Shunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan 528308, Guangdong Province, China
Xiao-Qing Xu, The Graduate School, Tianjin Medical University, Tianjin 300041, China
Yi-Chao Zhang, The Graduate School, Qinghai University, Xi'ning 810000, Qinghai Province, China
Peng-Cheng Hu, Department of Ophthalmology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China
Wu-Xia Yang, The Graduate School/Department of Traditional Chinese Medicine, Tianjin Medical University/Tianjin Medical University General Hospital, Tianjin 300041, China
Author contributions: Yang YJ and Xu XQ designed and coordinated the study; Yang YJ performed the experiments, acquired, and analyzed data; Xu XQ, Zhang YC, and Hu PC interpreted the data; Yang YJ, Xu XQ, and Yang WX wrote the manuscript; all authors approved the final version of the article; Yang YJ and Xu XQ contributed equally to this work.
Institutional review board statement: Nor ethical approval nor informed consent was required in this study due to the public available of date in the WGCNA, GEO, and TCIA databases (https://portal.gdc.cancer.gov/ and https://www.ncbi.nlm.nih.gov/geo/).
Conflict-of-interest statement: There is no conflict of interest between the authors.
Data sharing statement: All authors agree to data sharing.
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: Wu-Xia Yang, MM, Doctor, The Graduate School/Department of Traditional Chinese Medicine, Tianjin Medical University/Tianjin Medical University General Hospital, Tianjin 300041, China. yangwuxia_09@tmu.edu.cn
Received: December 16, 2022 Peer-review started: December 16, 2022 First decision: February 28, 2023 Revised: March 8, 2023 Accepted: April 12, 2023 Article in press: April 12, 2023 Published online: May 26, 2023
ARTICLE HIGHLIGHTS
Research background
Regulatory T cells (Tregs) and natural killer (NK) cells play an essential role in the development of bladder urothelial carcinoma (BUC).
Research motivation
To identify genes associated with bladder cancer prognosis.
Research objectives
To construct a prognosis-related model to judge the prognosis of patients with bladder cancer, meanwhile, predict the sensitivity of patients to chemotherapy and immunotherapy.
Research methods
In this study, we analyzed publicly available datasets from two databases (https://portal.gdc.cancer.gov/ and https://www.ncbi.nlm.nih.gov/geo/), both with authoritative data, to predict the diagnosis and prognosis of the disease by bioinformatic analysis.
Research results
The stage and risk scores are independent prognostic factors in patients with BUC. Mutations in FGFR3 lead to an increase in Tregs percolation and affect the prognosis of the tumor, and additionally, EMP1, TCHH and CNTNAP3B in the model are mainly positively correlated with the expression of immune checkpoints, while CMTM8, SORT1 and IQSEC1 are negatively correlated with immune checkpoints and the high-risk group had higher sensitivity to chemotherapy drugs.
Research conclusions
The model can predict the sensitivity of patients to chemotherapy and immunotherapy in addition to their prognosis for bladder cancers.
Research perspectives
Prognosis-related models of bladder tumor patients, based on Treg and NK cell percolation in tumor tissue. In addition to judging the prognosis of patients with bladder cancer, it can also predict the sensitivity of patients to chemotherapy and immunotherapy. At the same time, patients were divided into high and low risk groups based on this model, and differences in genetic mutations were found between the high and low risk groups.
