The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Exome sequencing identifies recurrent somatic mutations in EIF1AX and SF3B1 in uveal melanoma with disomy 3
Open accessAbstract
Gene expression profiles and chromosome 3 copy number divide uveal melanomas into two distinct classes correlating with prognosis. Using exome sequencing, we identified recurrent somatic mutations in EIF1AX and SF3B1, specifically occurring in uveal melanomas with disomy 3, which rarely metastasize. Targeted resequencing showed that 24 of 31 tumors with disomy 3 (77%) had mutations in either EIF1AX (15; 48%) or SF3B1 (9; 29%). Mutations were infrequent (2/35; 5.7%) in uveal melanomas with monosomy 3, which are associated with poor prognosis. Resequencing of 13 uveal melanomas with partial monosomy 3 identified 8 tumors with a mutation in either SF3B1 (7; 54%) or EIF1AX (1; 8%). All EIF1AX mutations caused in-frame changes affecting the N terminus of the protein, whereas 17 of 19 SF3B1 mutations encoded an alteration of Arg625. Resequencing of ten uveal melanomas with disomy 3 that developed metastases identified SF3B1 mutations in three tumors, none of which targeted Arg625.
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
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049
Ingolia, N. T., Lareau, L. F., & Weissman, J. S. (2011) · Cell · doi:10.1016/j.cell.2011.10.002 · Cited by 2,187
Frequent pathway mutations of splicing machinery in myelodysplasia
Yoshida, K., Sanada, M., Shiraishi, Y., Nowak, D., Nagata, Y., Yamamoto, R., Sato, Y., Sato-Otsubo, A., Kon, A., Nagasaki, M., et al. (2011) · Nature · doi:10.1038/nature10496 · Cited by 2,029
Cited by
Comprehensive, Integrative Genomic Analysis of Diffuse Lower-Grade Gliomas
The Cancer Genome Atlas Research Network (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1402121 · Cited by 3,148
RNA splicing factors as oncoproteins and tumour suppressors
Dvinge, H., Kim, E., Abdel-Wahab, O., & Bradley, R. K. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.51 · Cited by 687
RNA splicing dysregulation and the hallmarks of cancer
Bradley, R. K., & Anczuków, O. (2023) · Nature Reviews Cancer · doi:10.1038/s41568-022-00541-7 · Cited by 579
Therapeutic targeting of splicing in cancer
Lee, S. C.-W., & Abdel-Wahab, O. (2016) · Nature Medicine · doi:10.1038/nm.4165 · Cited by 561
Metastatic disease from uveal melanoma: treatment options and future prospects
Carvajal, R. D., Schwartz, G. K., Tezel, T., Marr, B., Francis, J. H., & Nathan, P. D. (2017) · British Journal of Ophthalmology · doi:10.1136/bjophthalmol-2016-309034 · Cited by 438
Metadata
- Authors
- Martin, M., Maßhöfer, L., Temming, P., Rahmann, S., Metz, C., Bornfeld, N., van de Nes, J., Klein-Hitpass, L., Hinnebusch, A. G., Horsthemke, B., Lohmann, D. R., & Zeschnigk, M.
- Venue
- Nature Genetics
- Published
- 2013-06-23
- Volume
- 45
- Issue
- 8
- Pages
- 933-936
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2073433320
- Cited by
- 542
- References
- 4
- FWCI
- 33.13
- Type
- journal article
- Language
- en
- Open access
- green
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
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.