Case-Control Study for 23 Cancer Types With Functional Analysis of CHEK2: Risk Estimation and Clinical Recommendations in East Asia
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články
PubMed
40893051
PubMed Central
PMC12410089
DOI
10.1200/po-24-00945
Knihovny.cz E-zdroje
- MeSH
- checkpoint kinasa 2 * genetika MeSH
- dospělí MeSH
- genetická predispozice k nemoci MeSH
- hodnocení rizik MeSH
- lidé středního věku MeSH
- lidé MeSH
- nádory * genetika epidemiologie MeSH
- senioři MeSH
- studie případů a kontrol MeSH
- zárodečné mutace MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Dálný východ epidemiologie MeSH
- Názvy látek
- checkpoint kinasa 2 * MeSH
- CHEK2 protein, human MeSH Prohlížeč
PURPOSE: CHEK2 is the frequently detected cancer-predisposing gene in female breast cancer. In addition, the association with the risks of other cancer types has been suggested, and clinical management has also been discussed. Although clinical relevance of germline variants differs across population, there is little evidence of the clinical relevance of CHEK2 germline variants in East Asia. METHODS: Targeted sequencing and functional analyses of missense variants for the coding region of CHEK2 in 111,571 East Asian individuals were performed. Variants classified as pathogenic/likely pathogenic in ClinVar, predicted loss-of-function, or functionally impaired in functional analysis were defined as germline damaging variants (gDVs). We evaluated the association between CHEK2 gDVs and the risk of 23 cancer types. We also compared the clinical characteristics of carriers and noncarriers among patients with CHEK2-associated cancers. RESULTS: We identified 77 gDVs including 36 functionally impaired missense variants. CHEK2 gDVs were significantly associated exclusively with prostate cancer (odds ratio [OR], 1.8 [95% CI, 1.2 to 2.6]; P = 1.7 × 10-3), in addition to female breast cancer (OR, 1.8 [95% CI, 1.3 to 2.6]; P = 1.2 × 10-3), among 23 cancer types. There were no differences in age at diagnosis, pathologic status, and prognosis between carriers and noncarriers. Besides, there was no association with the risk of cancer types with high incidence rates in East Asian countries. CONCLUSION: CHEK2 gDVs were associated with female breast and prostate cancer risks in East Asia. The necessity of additional systematic clinical management for all CHEK2 gDV carriers should be carefully discussed, and standard cancer screening is recommended unless no other clinical features suggestive of cancer predisposition are noted in East Asia.
Department of Genetic Medicine and Services National Cancer Center Hospital Tokyo Japan
Department of Genetic Medicine Kyoundo Hospital Sasaki Foundation Tokyo Japan
Department of Human Genetics Yokohama City University Graduate School of Medicine Yokohama Japan
Division of Genome Biology National Cancer Center Research Institute Tokyo Japan
Institute of Pathophysiology 1st Faculty of Medicine Charles University Prague Czech Republic
Laboratory for Cancer Genomics RIKEN Center for Integrative Medical Sciences Yokohama Japan
Laboratory for Genotyping Development RIKEN Center for Integrative Medical Sciences Yokohama Japan
Zobrazit více v PubMed
Samadder NJ, Riegert-Johnson D, Boardman L, et al. Comparison of universal genetic testing vs guideline-directed targeted testing for patients with hereditary cancer syndrome. JAMA Oncol. 2021;7:230–237. PubMed PMC
National Comprehensive Cancer Network (NCCN) Genetic/Familial High-Risk Assessment: Breast, Ovarian, and Pancreatic. Version 3.2024. https://www.nccn.org
Breast Cancer Association Consortium. Dorling L, Carvalho S, et al. Breast cancer risk genes—Association analysis in more than 113,000 women. N Engl J Med. 2021;384:428–439. PubMed PMC
Turnbull C, Firth HV, Wilkie AOM, et al. Population screening requires robust evidence-genomics is no exception. Lancet. 2024;403:583–586. PubMed
Gray JA, Patnick J, Blanks RG. Maximising benefit and minimising harm of screening. BMJ. 2008;336:480–483. PubMed PMC
Hanson H, Astiazaran-Symonds E, Amendola LM, et al. Management of individuals with germline pathogenic/likely pathogenic variants in CHEK2: A clinical practice resource of the American College of Medical genetics and genomics (ACMG) Genet Med. 2023;25:100870. PubMed PMC
Stolarova L, Kleiblova P, Janatova M, et al. CHEK2 germline variants in cancer predisposition: Stalemate rather than checkmate. Cells. 2020;9:2675. PubMed PMC
Turnbull C, Sud A, Houlston RS. Cancer genetics, precision prevention and a call to action. Nat Genet. 2018;50:1212–1218. PubMed PMC
Stolarova L, Kleiblova P, Zemankova P, et al. ENIGMA CHEK2gether project: A comprehensive study identifies functionally impaired CHEK2 germline missense variants associated with increased breast cancer risk. Clin Cancer Res. 2023;29:3037–3050. PubMed PMC
Miranda Durkie E-JC, Berry I, Owens M, et al. ACGS Best Practice Guidelines for Variant Classification in Rare Disease 2024. https://www.acgs.uk.com/media/12533/uk-practice-guidelines-for-variant-classification-v12-2024.pdf
Senol-Cosar O, Schmidt RJ, Qian E, et al. Considerations for clinical curation, classification, and reporting of low-penetrance and low effect size variants associated with disease risk. Genet Med. 2019;21:2765–2773. PubMed
Momozawa Y, Sasai R, Usui Y, et al. Expansion of cancer risk profile for BRCA1 and BRCA2 pathogenic variants. JAMA Oncol. 2022;8:871–878. PubMed PMC
Nagai A, Hirata M, Kamatani Y, et al. Overview of the BioBank Japan project: Study design and profile. J Epidemiol. 2017;27:S2–S8. PubMed PMC
Hirata M, Nagai A, Kamatani Y, et al. Overview of BioBank Japan follow-up data in 32 diseases. J Epidemiol. 2017;27:S22–S28. PubMed PMC
Hirata M, Kamatani Y, Nagai A, et al. Cross-sectional analysis of BioBank Japan clinical data: A large cohort of 200,000 patients with 47 common diseases. J Epidemiol. 2017;27:S9–S21. PubMed PMC
Okawa Y, Iwasaki Y, Johnson TA, et al. Hereditary cancer variants and homologous recombination deficiency in biliary tract cancer. J Hepatol. 2023;78:333–342. PubMed
Momozawa Y, Iwasaki Y, Parsons MT, et al. Germline pathogenic variants of 11 breast cancer genes in 7,051 Japanese patients and 11,241 controls. Nat Commun. 2018;9:4083. PubMed PMC
Fujita M, Liu X, Iwasaki Y, et al. Population-based screening for hereditary colorectal cancer variants in Japan. Clin Gastroenterol Hepatol. 2022;20:2132–2141.e9. PubMed
Usui Y, Taniyama Y, Endo M, et al. Helicobacter pylori, homologous-recombination genes, and gastric cancer. N Engl J Med. 2023;388:1181–1190. PubMed
Usui Y, Iwasaki Y, Matsuo K, et al. Association between germline pathogenic variants in cancer-predisposing genes and lymphoma risk. Cancer Sci. 2022;113:3972–3979. PubMed PMC
Momozawa Y, Iwasaki Y, Hirata M, et al. Germline pathogenic variants in 7636 Japanese patients with prostate cancer and 12 366 controls. J Natl Cancer Inst. 2020;112:369–376. PubMed PMC
Sekine Y, Iwasaki Y, Aoi T, et al. Different risk genes contribute to clear cell and non-clear cell renal cell carcinoma in 1532 Japanese patients and 5996 controls. Hum Mol Genet. 2022;31:1962–1969. PubMed
Momozawa Y, Akiyama M, Kamatani Y, et al. Low-frequency coding variants in CETP and CFB are associated with susceptibility of exudative age-related macular degeneration in the Japanese population. Hum Mol Genet. 2016;25:5027–5034. PubMed
DePristo MA, Banks E, Poplin R, et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat Genet. 2011;43:491–498. PubMed PMC
Cingolani P, Platts A, Wang lL, et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin) 2012;6:80–92. PubMed PMC
Landrum MJ, Lee JM, Benson M, et al. ClinVar: Public archive of interpretations of clinically relevant variants. Nucleic Acids Res. 2016;44:D862–D868. PubMed PMC
Nguyen L, W M Martens J, Van Hoeck A, et al. Pan-cancer landscape of homologous recombination deficiency. Nat Commun. 2020;11:5584. PubMed PMC
ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium Pan-cancer analysis of whole genomes. Nature. 2020;578:82–93. PubMed PMC
Zhang J, Bajari R, Andric D, et al. The international cancer genome consortium data portal. Nat Biotechnol. 2019;37:367–369. PubMed
Richards S, Aziz N, Bale S, et al. Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Genet Med. 2015;17(5):405–424. PubMed PMC
Abou Tayoun AN, Pesaran T, DiStefano MT, et al. Recommendations for interpreting the loss of function PVS1 ACMG/AMP variant criterion. Hum Mutat. 2018;39:1517–1524. PubMed PMC
Alexandrov LB, Kim J, Haradhvala NJ, et al. The repertoire of mutational signatures in human cancer. Nature. 2020;578:94–101. PubMed PMC
Bray F, Laversanne M, Sung H, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2024;74:229–263. PubMed
Guo Q, Ji S, Takeuchi K, et al. Functional evaluation of BRCA1/2 variants of unknown significance with homologous recombination assay and integrative in silico prediction model. J Hum Genet. 2023;68:849–857. PubMed
Pritchard CC, Mateo J, Walsh MF, et al. Inherited DNA-repair gene mutations in men with metastatic prostate cancer. N Engl J Med. 2016;375:443–453. PubMed PMC
Wu Y, Yu H, Zheng SL, et al. A comprehensive evaluation of CHEK2 germline mutations in men with prostate cancer. Prostate. 2018;78:607–615. PubMed
Mukhtar TK, Wilcox N, Dennis J, et al. Protein-truncating and rare missense variants in ATM and CHEK2 and associations with cancer in UK Biobank whole-exome sequence data. J Med Genet. 2024;61:1016–1022. PubMed PMC
Katona BW, Yurgelun MB, Garber JE, et al. A counseling framework for moderate-penetrance colorectal cancer susceptibility genes. Genet Med. 2018;20:1324–1327. PubMed
Schreurs MAC, Schmidt MK, Hollestelle A, et al. Cancer risks for other sites in addition to breast in CHEK2 c.1100delC families. Genet Med. 2024;26:101171. PubMed
Bychkovsky BL, Agaoglu NB, Horton C, et al. Differences in cancer phenotypes among frequent CHEK2 variants and implications for clinical care-checking CHEK2. JAMA Oncol. 2022;8:1598–1606. PubMed PMC
Carlo MI, Mukherjee S, Mandelker D, et al. Prevalence of germline mutations in cancer susceptibility genes in patients with advanced renal cell carcinoma. JAMA Oncol. 2018;4:1228–1235. PubMed PMC
Lowry KP, Geuzinge HA, Stout NK, et al. Breast cancer screening strategies for women with ATM, CHEK2, and PALB2 pathogenic variants: A comparative modeling analysis. JAMA Oncol. 2022;8:587–596. PubMed PMC
National Comprehensive Cancer Network (NCCN) Prostate Cancer Early Detection. https://www.nccn.org
Tung N, Domchek SM, Stadler Z, et al. Counselling framework for moderate-penetrance cancer-susceptibility mutations. Nat Rev Clin Oncol. 2016;13:581–588. PubMed PMC
Carlsson L, Bedard PL, Kim RH, et al. Psychological distress following multi-gene panel testing for hereditary breast and ovarian cancer risk. J Genet Couns. 2025;34:e1940. PubMed PMC
Spurdle AB, Greville-Heygate S, Antoniou AC, et al. Towards controlled terminology for reporting germline cancer susceptibility variants: An ENIGMA report. J Med Genet. 2019;56:347–357. PubMed