The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
CHEK2 variants: linking functional impact to cancer risk
Abstract
Protein-truncating variants in the breast cancer susceptibility gene CHEK2 are associated with a moderately increased risk of breast cancer. By contrast, for missense variants of uncertain significance (VUS) in CHEK2 the associated breast cancer risk is often unclear. To facilitate their classification, functional assays that determine the impact of missense VUS on CHK2 protein function have been performed. Here we discuss these functional analyses that consistently reveal an association between impaired protein function and increased breast cancer risk. Overall, these findings suggest that damaging CHEK2 missense VUS are associated with a risk of breast cancer similar to that of protein-truncating variants. This indicates the urgency of expanding the functional characterization of CHEK2 missense VUS to further understand the associated cancer risk.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“For example, loss of function (LOF) mutations in CHEK2 may confer higher risks of cancer compared with missense mutations47.”
From Germline genetic variation impacts clonal hematopoiesis landscape and progression to malignancy (2025) · cites this paper as [47]
In the citing paper
“Several small (<400 individuals) studies have linked CHEK2 PGVs to myeloid malignancies47,48.”
From Germline genetic variation impacts clonal hematopoiesis landscape and progression to malignancy (2025) · cites this paper as [47]
Citations
Cites
Cell-cycle checkpoints and cancer
Kastan, M. B., & Bartek, J. (2004) · Nature · doi:10.1038/nature03097 · Cited by 2,836
The CHEK2-Breast Cancer Consortium (2002) · Nature Genetics · doi:10.1038/ng879 · Cited by 1,104
The ATM-Chk2-Cdc25A checkpoint pathway guards against radioresistant DNA synthesis
Falck, J., Mailand, N., Syljuåsen, R. G., Bartek, J., & Lukas, J. (2001) · Nature · doi:10.1038/35071124 · Cited by 1,085
Chk2/hCds1 functions as a DNA damage checkpoint in G1by stabilizing p53
Chehab, N. H., Malikzay, A., Appel, M., & Halazonetis, T. D. (2000) · Genes & Development · doi:10.1101/gad.14.3.278 · Cited by 805
Research works printed but not linked: 46
- Matsuoka, 1998, Linkage of ATM to cell cycle regulation by the Chk2 protein kinase, Science, 282, 1893, 10.1126/science.282.5395.1893 · DOI
- Bell, 1999, Heterozygous germ line hCHK2 mutations in Li–Fraumeni syndrome, Science, 286, 2528, 10.1126/science.286.5449.2528 · DOI
- Schneider, 1999, Li–Fraumeni syndrome, GeneReviews
- McBride, 2014, Li–Fraumeni syndrome: cancer risk assessment and clinical management, Nat. Rev. Clin. Oncol., 11, 260, 10.1038/nrclinonc.2014.41 · DOI
- Breast Cancer Association Consortium, 2021, Breast cancer risk genes – association analysis in more than 113,000 women, N. Engl. J. Med., 384, 428, 10.1056/NEJMoa1913948 · DOI
- Couch, 2017, Associations between cancer predisposition testing panel genes and breast cancer, JAMA Oncol., 3, 1190, 10.1001/jamaoncol.2017.0424 · DOI
- Decker, 2017, Rare, protein-truncating variants in ATM, CHEK2 and PALB2, but not XRCC2, are associated with increased breast cancer risks, J. Med. Genet., 54, 7327, 10.1136/jmedgenet-2017-104588 · DOI
- Hauke, 2018, Gene panel testing of 5589 BRCA1/2-negative index patients with breast cancer in a routine diagnostic setting: results of the German Consortium for Hereditary Breast and Ovarian Cancer, Cancer Med., 7, 1349, 10.1002/cam4.1376 · DOI
- Weischer, 2007, Increased risk of breast cancer associated with CHEK2*1100delC, J. Clin. Oncol., 25, 57, 10.1200/JCO.2005.05.5160 · DOI
- Cybulski, 2004, CHEK2 is a multiorgan cancer susceptibility gene, Am. J. Hum. Genet., 75, 1131, 10.1086/426403 · DOI
- Stolarova, 2020, CHEK2 germline variants in cancer predisposition: stalemate rather than checkmate, Cells, 9, 2675, 10.3390/cells9122675 · DOI
- Landrum, 2014, ClinVar: public archive of relationships among sequence variation and human phenotype, Nucleic Acids Res., 42, D980, 10.1093/nar/gkt1113 · DOI · Paper page
- Brnich, 2019, Recommendations for application of the functional evidence PS3/BS3 criterion using the ACMG/AMP sequence variant interpretation framework, Genome Med, 12, 3, 10.1186/s13073-019-0690-2 · DOI
- Bell, 2007, Genetic and functional analysis of CHEK2 (CHK2) variants in multiethnic cohorts, Int. J. Cancer, 121, 2661, 10.1002/ijc.23026 · DOI
- Boonen, 2022, Functional analysis identifies damaging CHEK2 missense variants associated with increased cancer risk, Cancer Res., 82, 615, 10.1158/0008-5472.CAN-21-1845 · DOI
- Chrisanthar, 2008, CHEK2 mutations affecting kinase activity together with mutations in TP53 indicate a functional pathway associated with resistance to epirubicin in primary breast cancer, PLoS One, 3, 10.1371/journal.pone.0003062 · DOI
- Cuella-Martin, 2021, Functional interrogation of DNA damage response variants with base editing screens, Cell, 184, 1081, 10.1016/j.cell.2021.01.041 · DOI
- Delimitsou, 2019, Functional characterization of CHEK2 variants in a Saccharomyces cerevisiae system, Hum. Mutat., 40, 631, 10.1002/humu.23728 · DOI
- Kleiblova, 2019, Identification of deleterious germline CHEK2 mutations and their association with breast and ovarian cancer, Int. J. Cancer, 145, 1782, 10.1002/ijc.32385 · DOI
- Lee, 2001, Destabilization of CHK2 by a missense mutation associated with Li–Fraumeni Syndrome, Cancer Res., 61, 8062
- Roeb, 2012, Response to DNA damage of CHEK2 missense mutations in familial breast cancer, Hum. Mol. Genet., 21, 2738, 10.1093/hmg/dds101 · DOI
- Shaag, 2005, Functional and genomic approaches reveal an ancient CHEK2 allele associated with breast cancer in the Ashkenazi Jewish population, Hum. Mol. Genet., 14, 555, 10.1093/hmg/ddi052 · DOI
- Tischkowitz, 2008, Identification and characterization of novel SNPs in CHEK2 in Ashkenazi Jewish men with prostate cancer, Cancer Lett., 270, 173, 10.1016/j.canlet.2008.05.006 · DOI
- Wang, 2015, A novel recurrent CHEK2 Y390C mutation identified in high-risk Chinese breast cancer patients impairs its activity and is associated with increased breast cancer risk, Oncogene, 34, 5198, 10.1038/onc.2014.443 · DOI
- Wu, 2001, Characterization of tumor-associated Chk2 mutations, J. Biol. Chem., 276, 2971, 10.1074/jbc.M009727200 · DOI
- Ahn, 2004, The Chk2 protein kinase, DNA Repair (Amst), 3, 1039, 10.1016/j.dnarep.2004.03.033 · DOI
- Bartek, 2003, Chk1 and Chk2 kinases in checkpoint control and cancer, Cancer Cell, 3, 421, 10.1016/S1535-6108(03)00110-7 · DOI · Paper page
- Li, 2002, Structural and functional versatility of the FHA domain in DNA-damage signaling by the tumor suppressor kinase Chk2, Mol. Cell, 9, 1045, 10.1016/S1097-2765(02)00527-0 · DOI
- Zhang, 2004, Chk2 phosphorylation of BRCA1 regulates DNA double-strand break repair, Mol. Cell. Biol., 24, 708, 10.1128/MCB.24.2.708-718.2004 · DOI · Paper page
- Hu, 2012, Roles of Kruppel-associated box (KRAB)-associated co-repressor KAP1 Ser-473 phosphorylation in DNA damage response, J. Biol. Chem., 287, 18937, 10.1074/jbc.M111.313262 · DOI
- Lanz, 2019, DNA damage kinase signaling: checkpoint and repair at 30 years, EMBO J., 38, 10.15252/embj.2019101801 · DOI
- Zhao, 2001, The ribonucleotide reductase inhibitor Sml1 is a new target of the Mec1/Rad53 kinase cascade during growth and in response to DNA damage, EMBO J., 20, 3544, 10.1093/emboj/20.13.3544 · DOI
- Matreyek, 2018, Multiplex assessment of protein variant abundance by massively parallel sequencing, Nat. Genet., 50, 874, 10.1038/s41588-018-0122-z · DOI · Paper page
- Boonen, 2019, Functional analysis of genetic variants in the high-risk breast cancer susceptibility gene PALB2, Nat. Commun., 10, 5296, 10.1038/s41467-019-13194-2 · DOI
- Bartek, 2001, CHK2 kinase – a busy messenger, Nat. Rev. Mol. Cell Biol., 2, 877, 10.1038/35103059 · DOI
- Findlay, 2018, Accurate classification of BRCA1 variants with saturation genome editing, Nature, 562, 217, 10.1038/s41586-018-0461-z · DOI · Paper page
- Parsons, 2019, Large scale multifactorial likelihood quantitative analysis of BRCA1 and BRCA2 variants: An ENIGMA resource to support clinical variant classification, Hum. Mutat., 40, 1557, 10.1002/humu.23818 · DOI
- Caputo, 2021, Classification of 101 BRCA1 and BRCA2 variants of uncertain significance by cosegregation study: a powerful approach, Am. J. Hum. Genet., 108, 1907, 10.1016/j.ajhg.2021.09.003 · DOI
- Michailidou, 2017, Association analysis identifies 65 new breast cancer risk loci, Nature, 551, 92, 10.1038/nature24284 · DOI
- Southey, 2016, PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS, J. Med. Genet., 53, 800, 10.1136/jmedgenet-2016-103839 · DOI
- Boonen, 2021, Functional analysis identifies damaging CHEK2 missense variants associated with increased cancer risk, Cancer Res., 82, 615, 10.1158/0008-5472.CAN-21-1845 · DOI
- Heijl, 2020, Mind the gap: preventing circularity in missense variant prediction, BioRxiv
- Vroling, 2021, White paper: the helix pathogenicity prediction platform, ArXiv
- Miosge, 2015, Comparison of predicted and actual consequences of missense mutations, Proc. Natl. Acad. Sci. U. S. A., 112, E5189, 10.1073/pnas.1511585112 · DOI
- Rodrigue, 2019, A global functional analysis of missense mutations reveals two major hotspots in the PALB2 tumor suppressor, Nucleic Acids Res., 47, 10662, 10.1093/nar/gkz780 · DOI
- Starita, 2018, A multiplex homology-directed DNA repair assay reveals the impact of more than 1,000 BRCA1 missense substitution variants on protein function, Am. J. Hum. Genet., 103, 498, 10.1016/j.ajhg.2018.07.016 · DOI
Cited by
Germline genetic variation impacts clonal hematopoiesis landscape and progression to malignancy
Liu, J., Tran, D., Xue, L., Wiley, B. J., Vlasschaert, C., Watson, C. J., MacGregor, H. A. J., Zong, X., Chan, I. C. C., Das, I., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02250-x · Cited by 33
CHEK2 knockout is a therapeutic target for TP53-mutated hepatocellular carcinoma
Chen, Y., Zhu, Z., Wu, X., Li, H., Guan, W., & Ren, H. (2024) · Cell Death Discovery · doi:10.1038/s41420-023-01777-4 · Cited by 6
Metadata
- Authors
- Boonen, R. A. C. M., Vreeswijk, M. P. G., & van Attikum, H.
- Venue
- Trends in Cancer
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 8
- Issue
- 9
- Pages
- 759-770
- ISSN
- 2405-8033
- Cited by
- 49
- References
- 4
- Language
- en
- Licence
- Funders
- KWF Kankerbestrijding (KWF/Pink Ribbon 11704, KWF-CRAFT 12754)
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