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Cited by 498

The DOI matches its Crossref record; 158 of the 158 references it cites were found in a registry or an index.

Biomarkers in Hepatocellular Carcinoma: Diagnosis, Prognosis and Treatment Response Assessment

Open access
Piñero, Federico, Dirchwolf, Melisa, Pessôa, Mário G.·2020·Cells

Abstract

Hepatocellular carcinoma (HCC) is one of the main cancer-related causes of death worldwide. Thus, there is a constant search for improvement in screening, diagnosis, and treatment strategies to improve the prognosis of this malignancy. The identification of useful biomarkers for surveillance and early HCC diagnosis is still deficient, with available serum biomarkers showing low sensitivity and heterogeneous specificity despite different cut-off points, even when assessed longitudinally, or with a combination of serum biomarkers. In contrast, HCC biomarkers used for prognostic (when associated with clinical outcomes) or predictive purposes (when associated with treatment response) may have an increased clinical role in the near future. Furthermore, some serum biomarkers are already implicated as a treatment selection tool, whether to provide access to certain therapies or to assess clinical benefit after treatment. In the present review we will discuss the clinical utility and foreseen future of HCC biomarkers implicated in surveillance, diagnosis, prognosis, and post-treatment assessment.

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Metadata

Authors
Piñero, F., Dirchwolf, M., & Pessôa, M. G.
Venue
Cells
Publisher
MDPI AG
Published
2020-06-01
Volume
9
Issue
6
Pages
1370
ISSN
2073-4409 (ISSN-L)
OpenAlex
W3030956000
Cited by
498
References
158
FWCI
33.47
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Biomarkers in Hepatocellular Carcinoma: Diagnosis, Prognosis and Treatment Response Assessment. https://app.cochat.ai/papers/10.3390/cells9061370
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Piñero, F., Dirchwolf, M., & Pessôa, M. G. (2020). Biomarkers in Hepatocellular Carcinoma: Diagnosis, Prognosis and Treatment Response Assessment. Cells. https://doi.org/10.3390/cells9061370

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

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