The DOI matches its Crossref record; 183 of the 183 references it cites were found in a registry or an index.
Precision treatment in advanced hepatocellular carcinoma
Open accessAbstract
The past decade has witnessed significant advances in the systemic treatment of advanced hepatocellular carcinoma (HCC). Nevertheless, the newly developed treatment strategies have not achieved universal success and HCC patients frequently exhibit therapeutic resistance to these therapies. Precision treatment represents a paradigm shift in cancer treatment in recent years. This approach utilizes the unique molecular characteristics of individual patient to personalize treatment modalities, aiming to maximize therapeutic efficacy while minimizing side effects. Although precision treatment has shown significant success in multiple cancer types, its application in HCC remains in its infancy. In this review, we discuss key aspects of precision treatment in HCC, including therapeutic biomarkers, molecular classifications, and the heterogeneity of the tumor microenvironment. We also propose future directions, ranging from revolutionizing current treatment methodologies to personalizing therapy through functional assays, which will accelerate the next phase of advancements in this area.
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
Sorafenib in advanced hepatocellular carcinoma
Llovet, J. M., Ricci, S., Mazzaferro, V., Hilgard, P., Gane, E., Blanc, J.-F., de Oliveira, A. C., Santoro, A., Raoul, J.-L., Forner, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0708857 · Cited by 13,097
Atezolizumab plus bevacizumab in unresectable hepatocellular carcinoma
Finn, R. S., Qin, S., Ikeda, M., Galle, P. R., Ducreux, M., Kim, T.-Y., Kudo, M., Breder, V., Merle, P., Kaseb, A. O., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa1915745 · Cited by 7,470
Self-citationCheng, A.-L., Kang, Y.-K., Chen, Z., Tsao, C.-J., Qin, S., Kim, J. S., Luo, R., Feng, J., Ye, S., Yang, T.-S., et al. (2009) · The Lancet Oncology · doi:10.1016/s1470-2045(08)70285-7 · Cited by 5,832
Kudo, M., Finn, R. S., Qin, S., Han, K.-H., Ikeda, K., Piscaglia, F., Baron, A., Park, J.-W., Han, G., Jassem, J., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)30207-1 · Cited by 5,497
Elements of cancer immunity and the cancer–immune set point
Chen, D. S., & Mellman, I. (2017) · Nature · doi:10.1038/nature21349 · Cited by 5,352
The distribution of secondary growths in cancer of the breast.
Paget, S. (1889) · The Lancet · doi:10.1016/s0140-6736(00)49915-0 · Cited by 5,277
Eslam, M., Newsome, P. N., Sarin, S. K., Anstee, Q. M., Targher, G., Romero-Gomez, M., Zelber-Sagi, S., Wai-Sun Wong, V., Dufour, J.-F., Schattenberg, J. M., et al. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.03.039 · Cited by 4,472
Self-citationEl-Khoueiry, A. B., Sangro, B., Yau, T., Crocenzi, T. S., Kudo, M., Hsu, C., Kim, T.-Y., Choo, S.-P., Trojan, J., Welling, T. H., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31046-2 · Cited by 4,280
Bruix, J., Qin, S., Merle, P., Granito, A., Huang, Y.-H., Bodoky, G., Pracht, M., Yokosuka, O., Rosmorduc, O., Breder, V., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)32453-9 · Cited by 3,653
Melanoma-intrinsic β-catenin signalling prevents anti-tumour immunity
Spranger, S., Bao, R., & Gajewski, T. F. (2015) · Nature · doi:10.1038/nature14404 · Cited by 2,830
Metadata
- Authors
- Yang, X., Yang, C., Zhang, S., Geng, H., Zhu, A. X., Bernards, R., Qin, W., Fan, J., Wang, C., & Gao, Q.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2024-02
- Volume
- 42
- Issue
- 2
- Pages
- 180-197
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W4391743535
- Cited by
- 429
- References
- 183
- FWCI
- 96.09
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Precision treatment in advanced hepatocellular carcinoma. https://app.cochat.ai/papers/10.1016/j.ccell.2024.01.007
- The paper
- Yang, X., Yang, C., Zhang, S., Geng, H., Zhu, A. X., Bernards, R., Qin, W., Fan, J., Wang, C., & Gao, Q. (2024). Precision treatment in advanced hepatocellular carcinoma. Cancer Cell. https://doi.org/10.1016/j.ccell.2024.01.007
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.