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Cited by 281

The DOI matches its Crossref record; 306 of the 306 references it cites were found in a registry or an index.

Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma

Open access
Chan, Yau-Tuen, Zhang, Cheng, Wu, Junyu, Lu, Pengde, Xu, Lin, Yuan, Hongchao, Feng, Yibin, Chen, Zhe-Sheng, Wang, Ning·2024·Molecular Cancer

Abstract

Liver cancer is a global health challenge, causing a significant social-economic burden. Hepatocellular carcinoma (HCC) is the predominant type of primary liver cancer, which is highly heterogeneous in terms of molecular and cellular signatures. Early-stage or small tumors are typically treated with surgery or ablation. Currently, chemotherapies and immunotherapies are the best treatments for unresectable tumors or advanced HCC. However, drug response and acquired resistance are not predictable with the existing systematic guidelines regarding mutation patterns and molecular biomarkers, resulting in sub-optimal treatment outcomes for many patients with atypical molecular profiles. With advanced technological platforms, valuable information such as tumor genetic alterations, epigenetic data, and tumor microenvironments can be obtained from liquid biopsy. The inter- and intra-tumoral heterogeneity of HCC are illustrated, and these collective data provide solid evidence in the decision-making process of treatment regimens. This article reviews the current understanding of HCC detection methods and aims to update the development of HCC surveillance using liquid biopsy. Recent critical findings on the molecular basis, epigenetic profiles, circulating tumor cells, circulating DNAs, and omics studies are elaborated for HCC diagnosis. Besides, biomarkers related to the choice of therapeutic options are discussed. Some notable recent clinical trials working on targeted therapies are also highlighted. Insights are provided to translate the knowledge into potential biomarkers for detection and diagnosis, prognosis, treatment response, and drug resistance indicators in clinical practice.

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Metadata

Authors
Chan, Y.-T., Zhang, C., Wu, J., Lu, P., Xu, L., Yuan, H., Feng, Y., Chen, Z.-S., & Wang, N.
Venue
Molecular Cancer
Published
2024-09-06
Volume
23
Issue
1
Pages
189-189
ISSN
1476-4598 (ISSN-L)
OpenAlex
W4402316287
Cited by
281
References
306
FWCI
62.79
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma. https://app.cochat.ai/papers/10.1186/s12943-024-02101-z
The paper
Chan, Y.-T., Zhang, C., Wu, J., Lu, P., Xu, L., Yuan, H., Feng, Y., Chen, Z.-S., & Wang, N. (2024). Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma. Molecular Cancer. https://doi.org/10.1186/s12943-024-02101-z

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.