The DOI matches its Crossref record; 178 of the 178 references it cites were found in a registry or an index.
Liver Cancer Cell of Origin, Molecular Class, and Effects on Patient Prognosis
Open accessAbstract
Primary liver cancer is the second leading cause of cancer-related death worldwide and therefore a major public health challenge. We review hypotheses of the cell of origin of liver tumorigenesis and clarify the classes of liver cancer based on molecular features and how they affect patient prognosis. Primary liver cancer comprises hepatocellular carcinoma (HCC), intrahepatic cholangiocarcinoma (iCCA), and other rare tumors, notably fibrolamellar carcinoma and hepatoblastoma. The molecular and clinical features of HCC versus iCCA are distinct, but these conditions have overlapping risk factors and pathways of oncogenesis. A better understanding of the cell types originating liver cancer can aid in exploring molecular mechanisms of carcinogenesis and therapeutic options. Molecular studies have identified adult hepatocytes as the cell of origin. These cells have been proposed to transform directly into HCC cells (via a sequence of genetic alterations), to dedifferentiate into hepatocyte precursor cells (which then become HCC cells that express progenitor cell markers), or to transdifferentiate into biliary-like cells (which give rise to iCCA). Alternatively, progenitor cells also give rise to HCCs and iCCAs with markers of progenitor cells. Advances in genome profiling and next-generation sequencing have led to the classification of HCCs based on molecular features and assigned them to categories such as proliferation–progenitor, proliferation–transforming growth factor β, and Wnt–catenin β1. iCCAs have been assigned to categories of proliferation and inflammation. Overall, proliferation subclasses are associated with a more aggressive phenotype and poor outcome of patients, although more specific signatures have refined our prognostic abilities. Analyses of genetic alterations have identified those that might be targeted therapeutically, such as fusions in the FGFR2 gene and mutations in genes encoding isocitrate dehydrogenases (in approximately 60% of iCCAs) or amplifications at 11q13 and 6p21 (in approximately 15% of HCCs). Further studies of these alterations are needed before they can be used as biomarkers in clinical decision making.
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
Hallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Jemal, A., Bray, F., Center, M. M., Ferlay, J., Ward, E., & Forman, D. (2011) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20107 · Cited by 54,679
Global cancer statistics, 2012
Torre, L. A., Bray, F., Siegel, R. L., Ferlay, J., Lortet‐Tieulent, J., & Jemal, A. (2015) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21262 · Cited by 26,850
Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., Abraham, J., Adair, T., Aggarwal, R., Ahn, S. Y., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61728-0 · Cited by 14,070
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
Self-citationEASL 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
Self-citationSignatures of mutational processes in human cancer
Initiative, A. P. C. G., Alexandrov, L. B., ICGC Breast Cancer Consortium, ICGC MMML-Seq Consortium, PedBrain, I., Nik-Zainal, S., Wedge, D. C., Aparicio, S. A. J. R., Behjati, S., Biankin, A. V., et al. (2013) · Nature · doi:10.1038/nature12477 · Cited by 9,660
Edge, S. B., & Compton, C. C. (2010) · Annals of Surgical Oncology · doi:10.1245/s10434-010-0985-4 · Cited by 9,029
Murray, C. J. L., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61689-4 · Cited by 8,888
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774
Cited by
Llovet, J. M., Kelley, R. K., Villanueva, A., Singal, A. G., Pikarsky, E., Roayaie, S., Lencioni, R., Koike, K., Zucman-Rossi, J., & Finn, R. S. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-020-00240-3 · Cited by 7,055
Self-citationCholangiocarcinoma 2020: the next horizon in mechanisms and management
Banales, J. M., Marin, J. J. G., Lamarca, A., Rodrigues, P. M., Khan, S. A., Roberts, L. R., Cardinale, V., Carpino, G., Andersen, J. B., Braconi, C., et al. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-020-0310-z · Cited by 2,411
The immunology of hepatocellular carcinoma
Ringelhan, M., Pfister, D., O’Connor, T., Pikarsky, E., & Heikenwalder, M. (2018) · Nature Immunology · doi:10.1038/s41590-018-0044-z · Cited by 1,076
The role of BCL-2 family proteins in regulating apoptosis and cancer therapy
Qian, S., Wei, Z., Yang, W., Huang, J., Yang, Y., & Wang, J. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.985363 · Cited by 1,011
Emerging roles and the regulation of aerobic glycolysis in hepatocellular carcinoma
Feng, J., Li, J., Wu, L., Yu, Q., Ji, J., Wu, J., Dai, W., & Guo, C. (2020) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-020-01629-4 · Cited by 699
Metadata
- Authors
- Sia, D., Villanueva, A., Friedman, S. L., & Llovet, J. M.
- Venue
- Gastroenterology
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 152
- Issue
- 4
- Pages
- 745-761
- ISSN
- 0016-5085 (ISSN-L)
- OpenAlex
- W2563886529
- Cited by
- 1,153
- References
- 178
- FWCI
- 45.13
- 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: Liver Cancer Cell of Origin, Molecular Class, and Effects on Patient Prognosis. https://app.cochat.ai/papers/10.1053/j.gastro.2016.11.048
- The paper
- Sia, D., Villanueva, A., Friedman, S. L., & Llovet, J. M. (2017). Liver Cancer Cell of Origin, Molecular Class, and Effects on Patient Prognosis. Gastroenterology. https://doi.org/10.1053/j.gastro.2016.11.048
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.