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Abstract

C19orf48 as Prognostic and Predictive Biomarkers for Predicting Therapy Response in Breast Cancer

Author(s): Na He, Qinghui Sun, Hao Xiu And Li Yin*
Department of Oncology, Key Laboratory of Tropical Translational Medicine of Ministry of Education, 1National Health Commission of the People's Republic of China (NHC) Key Laboratory of Control of Tropical Diseases, School of Tropical Medicine, Hainan Medical University, Haikou, Hainan Province 571199, China

Correspondence Address:
Li Yin, National Health Commission of the People's Republic of China (NHC) Key Laboratory of Control of Tropical Diseases, School of Tropical Medicine, Hainan Medical University, Haikou, Hainan Province 571199, China, E-mail: hyinli@163.com


Breast cancer is one of the most common cancers in women worldwide. Therefore, it is important to understand the mechanism of breast cancer occurrence and development. In this study, we aimed to explore the potential use of chromosome 19 open reading frame 48 as a predictive biomarker by examining its expression patterns and how they respond to various treatments. Additionally, we conducted molecular docking simulations to determine the likelihood of drugs binding to this protein. We analyzed the expression of chromosome 19 open reading frame 48 in breast cancer using online tools. The relationship between its expression and survival times was explored too. Receiver operating characteristic analysis and molecular docking was used to explore the possibility of chromosome 19 open reading frame 48 as a biomarker. Chromosome 19 open reading frame 48 is highly expressed in breast cancer, and the higher the expression, the shorter the patients survival. Chromosome 19 open reading frame 48 plays a crucial role in the development of breast cancer by participating in cell-cycle-related biological processes. Through receiver operating characteristic analysis and molecular docking simulations, it is likely that it is also a promising predictive biomarker. Chromosome 19 open reading frame 48 could be a prognostic biomarker and predictive biomarkers for predicting therapy response in breast cancer. This provides a theoretical basis for the research and treatment of breast cancer.

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Citations : 66710

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