Research Report

The Application of Genomics in Personalized Cancer Therapy  

Jiayao Zhou
Institute of Life Science, Jiyang College of Zhejiang A&F University, Zhuji, 311800, China
Author    Correspondence author
Cancer Genetics and Epigenetics, 2024, Vol. 12, No. 1   doi: 10.5376/cge.2024.12.0009
Received: 25 Jan., 2024    Accepted: 28 Feb., 2024    Published: 11 Mar., 2024
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Preferred citation for this article:

Zhou J.Y., 2024, The Application of genomics in personalized cancer therapy, Cancer Genetics and Epigenetics, 12(1): 66-74 (doi: 10.5376/cge.2024.12.0009)

Abstract

Genomics provides precise tools and methods for personalized cancer treatment by revealing the genomic characteristics of cancer. Through the practical application of typical cases, it demonstrates its great potential in improving treatment efficacy and patient survival rate, indicating that genomics will play a more important role in cancer treatment in the future. This review summarizes the genomic characteristics of cancer, including its variations, mutations, and roles in the occurrence, development, and metastasis of cancer, emphasizing the guiding significance of genomics for cancer treatment. It elaborates on the basic principles of personalized cancer treatment, and further analyzes the practical application effect and patient survival rate of genomics in personalized cancer treatment through specific cases. It discusses the development trend of genomics treatment technologies and methods, as well as its application prospects in personalized cancer treatment. This manuscript aims to reveal its key role in improving treatment efficacy and patient survival rate, and explore future development directions, with a view to providing new treatment strategies and methods for the field of cancer treatment.

Keywords
Genomics; Cancer; Personalized therapy; Precision medicine; Genetic sequencing
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