The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Identification of a Therapeutic Strategy Targeting Amplified FGF19 in Liver Cancer by Oncogenomic Screening
Open accessAbstract
Summary We screened 124 genes that are amplified in human HCC using a mouse hepatoblast model and identified 18 tumor-promoting genes, including CCND1 and its neighbor on 11q13.3, FGF19. Although it is widely assumed that CCND1 is the main driving oncogene of this common amplicon (15% frequency in HCC), both forward-transformation assays and RNAi-mediated inhibition in human HCC cells established that FGF19 is an equally important driver gene in HCC. Furthermore, clonal growth and tumorigenicity of HCC cells harboring the 11q13.3 amplicon were selectively inhibited by RNAi-mediated knockdown of CCND1 or FGF19, as well as by an anti-FGF19 antibody. These results show that 11q13.3 amplification could be an effective biomarker for patients most likely to respond to anti-FGF19 therapy.
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
Sherr, C. J. (1996) · Science · doi:10.1126/science.274.5293.1672 · Cited by 5,379
The landscape of somatic copy-number alteration across human cancers
Beroukhim, R., Mermel, C. H., Porter, D., Wei, G., Raychaudhuri, S., Donovan, J., Barretina, J., Boehm, J. S., Dobson, J., Urashima, M., et al. (2010) · Nature · doi:10.1038/nature08822 · Cited by 4,017
Chromosome aberrations in solid tumors
Albertson, D. G., Collins, C., McCormick, F., & Gray, J. W. (2003) · Nature Genetics · doi:10.1038/ng1215 · Cited by 812
A Mouse Model of Hepatocellular Carcinoma
Nicholes, K., Guillet, S., Tomlinson, E., Hillan, K., Wright, B., Frantz, G. D., Pham, T. A., Dillard-Telm, L., Tsai, S. P., Stephan, J.-P., et al. (2002) · The American Journal of Pathology · doi:10.1016/s0002-9440(10)61177-7 · Cited by 359
Self-citation
Cited by
Llovet, J. M., Zucman-Rossi, J., Pikarsky, E., Sangro, B., Schwartz, M., Sherman, M., & Gores, G. (2016) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2016.18 · Cited by 2,531
Schulze, K., Imbeaud, S., Letouzé, E., Alexandrov, L. B., Calderaro, J., Rebouissou, S., Couchy, G., Meiller, C., Shinde, J., Soysouvanh, F., et al. (2015) · Nature Genetics · doi:10.1038/ng.3252 · Cited by 1,803
Guichard, C., Amaddeo, G., Imbeaud, S., Ladeiro, Y., Pelletier, L., Maad, I. B., Calderaro, J., Bioulac-Sage, P., Letexier, M., Degos, F., et al. (2012) · Nature Genetics · doi:10.1038/ng.2256 · Cited by 1,453
Genetic landscape and biomarkers of hepatocellular carcinoma
Zucman-Rossi, J., Villanueva, A., Nault, J.-C., & Llovet, J. M. (2015) · Gastroenterology · doi:10.1053/j.gastro.2015.05.061 · Cited by 1,325
Mechanisms of HBV-induced hepatocellular carcinoma
Levrero, M., & Zucman-Rossi, J. (2016) · Journal of Hepatology · doi:10.1016/j.jhep.2016.02.021 · Cited by 1,052
Metadata
- Authors
- Sawey, E. T., Chanrion, M., Cai, C., Wu, G., Zhang, J., Zender, L., Zhao, A., Busuttil, R. W., Yee, H., Stein, L., French, D. M., Finn, R. S., Lowe, S. W., & Powers, S.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2011-03
- Volume
- 19
- Issue
- 3
- Pages
- 347-358
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W2095943598
- Cited by
- 436
- References
- 4
- FWCI
- 10.46
- 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: Identification of a Therapeutic Strategy Targeting Amplified FGF19 in Liver Cancer by Oncogenomic Screening. https://app.cochat.ai/papers/10.1016/j.ccr.2011.01.040
- The paper
- Sawey, E. T., Chanrion, M., Cai, C., Wu, G., Zhang, J., Zender, L., Zhao, A., Busuttil, R. W., Yee, H., Stein, L., French, D. M., Finn, R. S., Lowe, S. W., & Powers, S. (2011). Identification of a Therapeutic Strategy Targeting Amplified FGF19 in Liver Cancer by Oncogenomic Screening. Cancer Cell. https://doi.org/10.1016/j.ccr.2011.01.040
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.