Author(s)

Matthew Krivacka Kay, Mingxin Ma

Corresponding Author

Matthew Krivacka Kay

Abstract

This article mainly discusses the application of bioinformatics in tumor marker screening and targeted therapy strategy research, and provides theoretical support for precise tumor treatment. Methods Literature review and inductive deduction were used to systematically expound the basis of bioinformatics and sort out its application process and principle in tumor marker screening and targeted therapy strategy. In the screening of tumor markers, the process of data collection, differential expression and functional enrichment analysis based on bioinformatics is introduced. In the part of targeted therapy strategy, the strategy design based on tumor markers and the optimization function of bioinformatics are analyzed. It is clear that tumor markers can be divided into protein, carbohydrate antigens and other categories. Based on bioinformatics screening, differentially expressed genes such as cell proliferation and apoptosis regulation related pathways are found. In targeted therapy, there are effective targeted drugs for human epidermal growth factor receptor 2 (Her-2) positive breast cancer and epidermal growth factor receptor (EGFR) mutant non-small cell lung cancer. Bioinformatics is of great value in the screening of tumor markers and the study of targeted therapy strategies, which can efficiently mine potential markers and help design accurate targeted therapy schemes.

Keywords

Bioinformatics; Screening of Tumor Markers; Targeted Therapy Strategy; Tumors; Multiomics Data