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 accessAbstract
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Tissue-based map of the human proteome
Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science · doi:10.1126/science.1260419 · Cited by 15,286
EASL Clinical Practice Guidelines: Management of hepatocellular carcinoma
Galle, P. R., Forner, A., Llovet, J. M., Mazzaferro, V., Piscaglia, F., Raoul, J.-L., Schirmacher, P., & Vilgrain, V. (2018) · Journal of Hepatology · doi:10.1016/j.jhep.2018.03.019 · Cited by 11,406
Shedding light on the cell biology of extracellular vesicles
van Niel, G., D'Angelo, G., & Raposo, G. (2018) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2017.125 · Cited by 8,369
Transection of the oesophagus for bleeding oesophageal varices
Pugh, R. N. H., Murray-Lyon, I. M., Dawson, J. L., Pietroni, M. C., & Williams, R. (1973) · Journal of British Surgery · doi:10.1002/bjs.1800600817 · Cited by 7,941
Mazzaferro, V., Regalia, E., Doci, R., Andreola, S., Pulvirenti, A., Bozzetti, F., Montalto, F., Ammatuna, M., Morabito, A., & Gennari, L. (1996) · New England Journal of Medicine · doi:10.1056/nejm199603143341104 · Cited by 7,186
Acute Abdomen: A Rare Case of Ruptured Hepatocellular Carcinoma
Gloor, S., Jensen, K. O., Breitenstein, S., Binkert, C. A., Angst, E., & Hetzer, F. H. (2017) · Case Reports in Gastroenterology · doi:10.1159/000463378 · Cited by 5,370
Marrero, J. A., Kulik, L. M., Sirlin, C. B., Zhu, A. X., Finn, R. S., Abecassis, M. M., Roberts, L. R., & Heimbach, J. K. (2018) · Hepatology · doi:10.1002/hep.29913 · Cited by 4,539
Villanueva, A. (2019) · New England Journal of Medicine · doi:10.1056/nejmra1713263 · Cited by 4,508
BCLC strategy for prognosis prediction and treatment recommendation: the 2022 update
Reig, M., Forner, A., Rimola, J., Ferrer-Fàbrega, J., Burrel, M., Garcia-Criado, Á., Kelley, R. K., Galle, P. R., Mazzaferro, V., Salem, R., et al. (2022) · Journal of Hepatology · doi:10.1016/j.jhep.2021.11.018 · Cited by 4,319 · cited 1×
“The 2022 BCLC staging strategy recommended the ALBI score and AFP concentration for hepatic function assessment regardless of tumor burden [26].”
MethodAASLD guidelines for the treatment of hepatocellular carcinoma
Heimbach, J. K., Kulik, L. M., Finn, R. S., Sirlin, C. B., Abecassis, M. M., Roberts, L. R., Zhu, A. X., Murad, M. H., & Marrero, J. A. (2018) · Hepatology · doi:10.1002/hep.29086 · Cited by 4,070
Cited by
Wang, L., Tian, F., Li, C., Wang, J., Dong, J., Cai, J., Yang, S., & Feng, X. (2025) · Patterns · doi:10.1016/j.patter.2025.101364 · Cited by 11
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- 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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.