Clinical and Translational Research
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Clin Cases. Sep 26, 2023; 11(27): 6344-6362
Published online Sep 26, 2023. doi: 10.12998/wjcc.v11.i27.6344
Identification of potential diagnostic and prognostic biomarkers for breast cancer based on gene expression omnibus
Xiong Zhang, Zhi-Hui Mi
Xiong Zhang, Department of Pathology, HuLunBuir Peoples’s Hospital, HuLunBuir 010018, Nei Monggol Autonomous Region, China
Zhi-Hui Mi, Department of Research and Marketing, Inner Mongolia Di An Feng Xin Medical Technology Co., LTD, Huhhot 010010, Nei Monggol Autonomous Region, China
Author contributions: Zhang X designed and directed the research; Mi ZH collected data and wrote the manuscript; all authors have read and approved the final manuscript.
Supported by the Natural Science Foundation of Inner Mongolia, No. 2021GG0298.
Institutional review board statement: The data for the study came from public databases and did not involve blood or tissue samples from humans or animals. Therefore, there were no ethical issues involved in the study.
Informed consent statement: The data for the study came from public databases and did not involve blood or tissue samples from humans or animals. Therefore, the study did not involve any informed consent issues.
Conflict-of-interest statement: All the authors declare that they have no competing interests.
Data sharing statement: The original datasets during the current study are available in the Gene Expression Omnibus (GEO), further inquiries can be directed to the following links (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE36765, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE10810, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE20086).
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: Zhi-Hui Mi, MD, Senior Researcher, Department of Research and Marketing, Inner Mongolia Di An Feng Xin Medical Technology Co., LTD, Ru Yi Development Zone, Huhhot 010010, Nei Monggol Autonomous Region, China. zhihui_mi@sina.com
Received: June 24, 2023
Peer-review started: June 24, 2023
First decision: August 9, 2023
Revised: August 18, 2023
Accepted: August 31, 2023
Article in press: August 31, 2023
Published online: September 26, 2023
Processing time: 88 Days and 4.2 Hours
Core Tip

Core Tip: Breast cancer is one of the most common malignant tumors in women, according to statistics, the incidence of this disease accounts for 7%-10% of all kinds of malignant tumors in the whole body. However, the treatment of breast cancer is still not optimistic, and it is crucial to reveal the pathogenesis and biomarkers. Therefore, this study used bioinformatics statistics to mine the characteristic markers of breast cancer based on the database, in order to provide a more solid foundation for the treatment of the disease.