Manman  Li

Hainan Institute of Biotechnology, Haikou, 570206, Hainan, China
Author    Correspondence author
Cancer Genetics and Epigenetics, 2024, Vol. 12, No. 3   
Received: 26 Mar., 2024    Accepted: 05 May, 2024    Published: 18 May, 2024

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.

Liver cancer remains a significant global health challenge, necessitating advanced treatment strategies such as precision medicine. This study explores the potential of genome-wide association studies (GWAS) to enhance precision treatment for liver cancer. It provides a comprehensive study of the progress in liver cancer research, highlighting advancements in molecular profiling, identification of molecular subtypes, and genomic alterations. It delves into the genetic insights gained from GWAS, including significant genetic variants and epigenetic factors. The study also discusses how to integrate GWAS findings into clinical practice, emphasizing translational research, personalized treatment plans, and clinical implementation. Case studies and clinical trials are presented to showcase successful implementations, ongoing trials, and lessons learned. Current challenges in precision treatment, such as tumor heterogeneity, drug resistance, and data interpretation, are examined. Additionally, the study studys advances in technology and methodology, including next-generation sequencing (NGS), CRISPR and genome editing, and bioinformatics. Future perspectives, including emerging therapies, the role of artificial intelligence, and the importance of collaborative research, are discussed. This study underscores the transformative potential of GWAS in liver cancer treatment and highlights the need for continued research and technological innovation.

Liver cancer; Precision medicine; Genome-wide association studies (GWAS); Personalized treatment; Genetic variants