The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
COSMIC: a curated database of somatic variants and clinical data for cancer
Open accessAbstract
The Catalogue Of Somatic Mutations In Cancer (COSMIC), https://cancer.sanger.ac.uk/cosmic, is an expert-curated knowledgebase providing data on somatic variants in cancer, supported by a comprehensive suite of tools for interpreting genomic data, discerning the impact of somatic alterations on disease, and facilitating translational research. The catalogue is accessed and used by thousands of cancer researchers and clinicians daily, allowing them to quickly access information from an immense pool of data curated from over 29 thousand scientific publications and large studies. Within the last 4 years, COSMIC has substantially expanded its utility by adding new resources: the Mutational Signatures catalogue, the Cancer Mutation Census, and Actionability. To improve data accessibility and interoperability, somatic variants have received stable genomic identifiers that are associated with their genomic coordinates in GRCh37 and GRCh38, and new export files with reduced data redundancy have been made available for download.
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
New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1)
Eisenhauer, E. A., Therasse, P., Bogaerts, J., Schwartz, L. H., Sargent, D., Ford, R., Dancey, J., Arbuck, S., Gwyther, S., Mooney, M., et al. (2009) · European Journal of Cancer · doi:10.1016/j.ejca.2008.10.026 · Cited by 29,534
Hanahan, D., & Weinberg, R. A. (2000) · Cell · doi:10.1016/s0092-8674(00)81683-9 · Cited by 29,219
The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.18 · Cited by 18,423 · cited 1×
“These curation efforts have resulted in a FAIR-compliant ( 8 ) resource that is available through a dedicated website ( https://cancer .sanger .ac.uk/cosmic ) and as set of data export files.”
Hallmarks of Cancer: New Dimensions
Hanahan, D. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-1059 · Cited by 9,887
The mutational constraint spectrum quantified from variation in 141,456 humans
Karczewski, K. J., Francioli, L. C., Tiao, G., Cummings, B. B., Alföldi, J., Wang, Q., Collins, R. L., Laricchia, K. M., Ganna, A., Birnbaum, D. P., et al. (2020) · Nature · doi:10.1038/s41586-020-2308-7 · Cited by 9,434
The cancer genome atlas pan-cancer analysis project
The Cancer Genome Atlas Research Network, Weinstein, J. N., Collisson, E. A., Mills, G. B., Shaw, K. R. M., Ozenberger, B. A., Ellrott, K., Shmulevich, I., Sander, C., & Stuart, J. M. (2013) · Nature Genetics · doi:10.1038/ng.2764 · Cited by 9,092
The Ensembl Variant Effect Predictor
McLaren, W., Gil, L., Hunt, S. E., Riat, H. S., Ritchie, G. R. S., Thormann, A., Flicek, P., & Cunningham, F. (2016) · Genome Biology · doi:10.1186/s13059-016-0974-4 · Cited by 8,099
COSMIC: the Catalogue Of Somatic Mutations In Cancer
Tate, J. G., Bamford, S., Jubb, H. C., Sondka, Z., Beare, D. M., Bindal, N., Boutselakis, H., Cole, C. G., Creatore, C., Dawson, E., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1015 · Cited by 4,867
Self-citationClinVar: improving access to variant interpretations and supporting evidence
Landrum, M. J., Lee, J. M., Benson, M., Brown, G. R., Chao, C., Chitipiralla, S., Gu, B., Hart, J., Hoffman, D., Jang, W., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1153 · Cited by 4,196 · cited 1×
“…of each of over 5 million coding mutations in COSMIC, manually curated information regarding cancer genes obtained from the Cancer Gene Census and genetic variants, acquired from ClinVar ( 20 ) is integrated with data on variant frequencies across multiple cancer types from the COSMIC catalogue.”
Cited by
ClinVar: updates to support classifications of both germline and somatic variants
Landrum, M. J., Chitipiralla, S., Kaur, K., Brown, G., Chen, C., Hart, J., Hoffman, D., Jang, W., Liu, C., Maddipatla, Z., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkae1090 · Cited by 182
DEGRONOPEDIA: a web server for proteome-wide inspection of degrons
Szulc, N. A., Stefaniak, F., Piechota, M., Soszyńska, A., Piórkowska, G., Cappannini, A., Bujnicki, J. M., Maniaci, C., & Pokrzywa, W. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae238 · Cited by 35
Image-based, pooled phenotyping reveals multidimensional, disease-specific variant effects
Pendyala, S., Partington, K., Bradley, N., McEwen, A. E., Straub, G., Kim, H.-J., Fayer, S., Holmes, D. L., Sitko, K. A., Garge, R. K., et al. (2026) · Cell · doi:10.1016/j.cell.2026.04.031 · Cited by 10
Click-code-seq reveals strand biases of DNA oxidation and depurination in human genome
Takhaveev, V., Püllen, N. J. L., Singh, N. K., Lefevre, L., Aghajani, E. A., Huber, S. M., Schauer, S., Gahlon, H. L., Poetsch, A. R., & Sturla, S. J. (2026) · Nature Chemical Biology · doi:10.1038/s41589-025-02052-6 · Cited by 10
The C2 domain augments Ras GTPase-activating protein catalytic activity
Paul, M. E., Chen, D., Vish, K. J., Lartey, N. L., Hughes, E., Freeman, Z. T., Saunders, T. L., Stiegler, A. L., King, P. D., & Boggon, T. J. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2418433122 · Cited by 7
Metadata
- Authors
- Sondka, Z., Dhir, N. B., Carvalho-Silva, D., Jupe, S., Madhumita, McLaren, K., Starkey, M., Ward, S., Wilding, J., Ahmed, M., Argasinska, J., Beare, D., Chawla, M. S., Duke, S., Fasanella, I., Neogi, A. G., Haller, S., Hetenyi, B., Hodges, L., Holmes, A., Lyne, R., Maurel, T., Nair, S., Pedro, H., Sangrador-Vegas, A., Schuilenburg, H., Sheard, Z., Yong, S. Y., & Teague, J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-11-01
- Volume
- 52
- Issue
- D1
- Pages
- D1210-D1217
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W4390621251
- Cited by
- 533
- References
- 31
- FWCI
- 51.93
- 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: COSMIC: a curated database of somatic variants and clinical data for cancer. https://app.cochat.ai/papers/10.1093/nar/gkad986
- The paper
- Sondka, Z., Dhir, N. B., Carvalho-Silva, D., Jupe, S., Madhumita, McLaren, K., Starkey, M., Ward, S., Wilding, J., Ahmed, M., Argasinska, J., Beare, D., Chawla, M. S., Duke, S., Fasanella, I., Neogi, A. G., Haller, S., Hetenyi, B., Hodges, L., . . . Teague, J. (2024). COSMIC: a curated database of somatic variants and clinical data for cancer. Nucleic Acids Research. https://doi.org/10.1093/nar/gkad986
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.
