File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Biomarkers for diagnosis and therapeutic options in hepatocellular carcinoma

TitleBiomarkers for diagnosis and therapeutic options in hepatocellular carcinoma
Authors
KeywordsArtificial intelligence
Biomarkers
Cancer diagnosis
Cancer surveillance
Cancer treatment
Cell-free DNA
Circulating tumor cells
Circulating tumor DNA
Clinical trials
HAIC
Hepatocellular carcinoma
Immunotherapies
Liquid biopsy
Liver transplantation
Local ablation
Metabolomics
Methylation
Non-coding RNAs
Serological biomarkers
Surgical resection
TACE
Targeted therapies
Therapeutic option
Tissue biopsy
Tumor-derived vesicles
Issue Date6-Sep-2024
PublisherBioMed Central
Citation
Molecular Cancer, 2024, v. 23, n. 1 How to Cite?
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.


Persistent Identifierhttp://hdl.handle.net/10722/348149
ISSN
2023 Impact Factor: 27.7
2023 SCImago Journal Rankings: 8.222

 

DC FieldValueLanguage
dc.contributor.authorChan, Yau-Tuen-
dc.contributor.authorZhang, Cheng-
dc.contributor.authorWu, Junyu-
dc.contributor.authorLu, Pengde-
dc.contributor.authorXu, Lin-
dc.contributor.authorYuan, Hongchao-
dc.contributor.authorFeng, Yibin-
dc.contributor.authorChen, Zhe-Sheng-
dc.contributor.authorWang, Ning-
dc.date.accessioned2024-10-05T00:30:50Z-
dc.date.available2024-10-05T00:30:50Z-
dc.date.issued2024-09-06-
dc.identifier.citationMolecular Cancer, 2024, v. 23, n. 1-
dc.identifier.issn1476-4598-
dc.identifier.urihttp://hdl.handle.net/10722/348149-
dc.description.abstract<p>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.<br></p>-
dc.languageeng-
dc.publisherBioMed Central-
dc.relation.ispartofMolecular Cancer-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectArtificial intelligence-
dc.subjectBiomarkers-
dc.subjectCancer diagnosis-
dc.subjectCancer surveillance-
dc.subjectCancer treatment-
dc.subjectCell-free DNA-
dc.subjectCirculating tumor cells-
dc.subjectCirculating tumor DNA-
dc.subjectClinical trials-
dc.subjectHAIC-
dc.subjectHepatocellular carcinoma-
dc.subjectImmunotherapies-
dc.subjectLiquid biopsy-
dc.subjectLiver transplantation-
dc.subjectLocal ablation-
dc.subjectMetabolomics-
dc.subjectMethylation-
dc.subjectNon-coding RNAs-
dc.subjectSerological biomarkers-
dc.subjectSurgical resection-
dc.subjectTACE-
dc.subjectTargeted therapies-
dc.subjectTherapeutic option-
dc.subjectTissue biopsy-
dc.subjectTumor-derived vesicles-
dc.titleBiomarkers for diagnosis and therapeutic options in hepatocellular carcinoma-
dc.typeArticle-
dc.identifier.doi10.1186/s12943-024-02101-z-
dc.identifier.scopuseid_2-s2.0-85203240979-
dc.identifier.volume23-
dc.identifier.issue1-
dc.identifier.eissn1476-4598-
dc.identifier.issnl1476-4598-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats