Evaluation and Application of Drug Resistance by Biomarkers in the Clinical Treatment of Liver Cancer

Cells. 2023 Mar 10;12(6):869. doi: 10.3390/cells12060869.

Abstract

Liver cancer is one of the most lethal cancers in the world, mainly owing to the lack of effective means for early monitoring and treatment. Accordingly, there is considerable research interest in various clinically applicable methods for addressing these unmet needs. At present, the most commonly used biomarker for the early diagnosis of liver cancer is alpha-fetoprotein (AFP), but AFP is sensitive to interference from other factors and cannot really be used as the basis for determining liver cancer. Treatment options in addition to liver surgery (resection, transplantation) include radiation therapy, chemotherapy, and targeted therapy. However, even more expensive targeted drug therapies have a limited impact on the clinical outcome of liver cancer. One of the big reasons is the rapid emergence of drug resistance. Therefore, in addition to finding effective biomarkers for early diagnosis, an important focus of current discussions is on how to effectively adjust and select drug strategies and guidelines for the treatment of liver cancer patients. In this review, we bring this thought process to the drug resistance problem faced by different treatment strategies, approaching it from the perspective of gene expression and molecular biology and the possibility of finding effective solutions.

Keywords: biomarker; clinical; drug resistance; liver cancer.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Drug Resistance
  • Early Detection of Cancer
  • Humans
  • Liver Neoplasms* / diagnosis
  • Liver Neoplasms* / drug therapy
  • Liver Neoplasms* / genetics
  • alpha-Fetoproteins* / metabolism

Substances

  • alpha-Fetoproteins
  • Biomarkers

Grants and funding

This work was supported by grants from Chang Gung Memorial Hospital, Taoyuan, Taiwan (CMRPD1L0111, CMRPD1M0361 to KHL) and from the Ministry of Science and Technology of the Republic of China (MOST 106-2320-B-182-032-MY3; 109-2320-B-182-011; 110-2320-B-182-032 to KHL).