{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T09:25:18Z","timestamp":1740129918382,"version":"3.37.3"},"reference-count":43,"publisher":"Oxford University Press (OUP)","issue":"11","license":[{"start":{"date-parts":[[2023,5,27]],"date-time":"2023-05-27T00:00:00Z","timestamp":1685145600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004359","name":"Swedish Research Council","doi-asserted-by":"publisher","award":["2022-00584"],"award-info":[{"award-number":["2022-00584"]}],"id":[{"id":"10.13039\/501100004359","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002794","name":"Swedish Cancer Society","doi-asserted-by":"publisher","award":["22 2207","19 0267"],"award-info":[{"award-number":["22 2207","19 0267"]}],"id":[{"id":"10.13039\/501100002794","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004348","name":"Stockholm County Council","doi-asserted-by":"publisher","award":["20200102"],"award-info":[{"award-number":["20200102"]}],"id":[{"id":"10.13039\/501100004348","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006636","name":"FORTE","doi-asserted-by":"publisher","award":["2018-00877"],"award-info":[{"award-number":["2018-00877"]}],"id":[{"id":"10.13039\/501100006636","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["201806210002"],"award-info":[{"award-number":["201806210002"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004835","name":"Zhejiang University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004835","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,11,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Risk assessment is important for breast cancer prevention and early detection. We aimed to examine whether common risk factors, mammographic features, and breast cancer risk prediction scores of a woman were associated with breast cancer risk for her sisters.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We included 53 051 women from the Karolinska Mammography Project for Risk Prediction of Breast Cancer (KARMA) study. Established risk factors were derived using self-reported questionnaires, mammograms, and single nucleotide polymorphism genotyping. Using the Swedish Multi-Generation Register, we identified 32 198 sisters of the KARMA women (including 5352 KARMA participants and 26 846 nonparticipants). Cox models were used to estimate the hazard ratios of breast cancer for both women and their sisters, respectively.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>A higher breast cancer polygenic risk score, a history of benign breast disease, and higher breast density in women were associated with an increased risk of breast cancer for both women and their sisters. No statistically significant association was observed between breast microcalcifications and masses in women and breast cancer risk for their sisters. Furthermore, higher breast cancer risk scores in women were associated with an increased risk of breast cancer for their sisters. Specifically, the hazard ratios for breast cancer per 1 standard deviation increase in age-adjusted KARMA, Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA), and Tyrer-Cuzick risk scores were 1.16 (95% confidence interval [CI]\u2009=\u20091.07 to 1.27), 1.23 (95% CI = 1.12 to 1.35), and 1.21 (95% CI = 1.11 to 1.32), respectively.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>A woman\u2019s breast cancer risk factors are associated with her sister\u2019s breast cancer risk. However, the clinical utility of these findings requires further investigation.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/jnci\/djad101","type":"journal-article","created":{"date-parts":[[2023,5,27]],"date-time":"2023-05-27T14:33:37Z","timestamp":1685198017000},"page":"1310-1317","source":"Crossref","is-referenced-by-count":1,"title":["Prediction of breast cancer risk for sisters of women attending screening"],"prefix":"10.1093","volume":"115","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5012-0092","authenticated-orcid":false,"given":"Xinhe","family":"Mao","sequence":"first","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0161-3274","authenticated-orcid":false,"given":"Wei","family":"He","sequence":"additional","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"},{"name":"Chronic Disease Research Institute, The Children\u2019s Hospital, and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University , Hangzhou, Zhejiang, China"},{"name":"Department of Nutrition and Food Hygiene, School of Public Health, Zhejiang University , Hangzhou, Zhejiang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mikael","family":"Eriksson","sequence":"additional","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linda S","family":"Lindstr\u00f6m","sequence":"additional","affiliation":[{"name":"Department of Oncology-Pathology, Karolinska Institutet and Hereditary Cancer Unit, Karolinska University Hospital , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natalie","family":"Holowko","sequence":"additional","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"},{"name":"Department of Medicine Solna, Clinical Epidemiology Division, Karolinska Institutet , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Svetlana","family":"Bajalica-Lagercrantz","sequence":"additional","affiliation":[{"name":"Department of Oncology-Pathology, Karolinska Institutet and Hereditary Cancer Unit, Karolinska University Hospital , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mattias","family":"Hammarstr\u00f6m","sequence":"additional","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1390-7528","authenticated-orcid":false,"given":"Felix","family":"Grassmann","sequence":"additional","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"},{"name":"Institute for Clinical Research and Systems Medicine, Health and Medical University , Potsdam, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keith","family":"Humphreys","sequence":"additional","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Douglas","family":"Easton","sequence":"additional","affiliation":[{"name":"Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge , Cambridge, UK"},{"name":"Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge , Cambridge, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5640-9126","authenticated-orcid":false,"given":"Per","family":"Hall","sequence":"additional","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"},{"name":"Department of Oncology, S\u00f6dersjukhuset , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3233-5695","authenticated-orcid":false,"given":"Kamila","family":"Czene","sequence":"additional","affiliation":[{"name":"Department of Medical Epidemiology and Biostatistics, Karolinska Institutet , Stockholm, Sweden"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2023,5,27]]},"reference":[{"issue":"1","key":"2023111012332034100_djad101-B1","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1186\/s13045-019-0828-0","article-title":"Global burden of breast cancer and attributable risk factors in 195 countries and territories, from 1990 to 2017: results from the Global Burden of Disease Study 2017","volume":"12","author":"Li","year":"2019","journal-title":"J Hematol Oncol"},{"issue":"12","key":"2023111012332034100_djad101-B2","doi-asserted-by":"crossref","first-page":"1749","DOI":"10.1001\/jamaoncol.2019.2996","article-title":"Global, regional, and national cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life-years for 29 cancer groups, 1990 to 2017: a systematic analysis for the Global Burden of Disease Study","volume":"5","author":"Fitzmaurice","year":"2019","journal-title":"JAMA Oncol"},{"issue":"10071","key":"2023111012332034100_djad101-B3","doi-asserted-by":"crossref","first-page":"847","DOI":"10.1016\/S0140-6736(16)31392-7","article-title":"The global burden of women\u2019s cancers: a grand challenge in global health","volume":"389","author":"Ginsburg","year":"2017","journal-title":"Lancet"},{"author":"Eurostat","key":"2023111012332034100_djad101-B4"},{"issue":"3","key":"2023111012332034100_djad101-B5","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1007\/s10549-021-06346-w","article-title":"The WISDOM study: a new approach to screening can and should be tested","volume":"189","author":"Esserman","year":"2021","journal-title":"Breast Cancer Res Treat"},{"issue":"5","key":"2023111012332034100_djad101-B6","doi-asserted-by":"crossref","first-page":"800","DOI":"10.1002\/(SICI)1097-0215(19970529)71:5<800::AID-IJC18>3.0.CO;2-B","article-title":"Family history and the risk of breast cancer: a systematic review and meta-analysis","volume":"71","author":"Pharoah","year":"1997","journal-title":"Int J Cancer"},{"issue":"9291","key":"2023111012332034100_djad101-B7","doi-asserted-by":"crossref","first-page":"1389","DOI":"10.1016\/S0140-6736(01)06524-2","article-title":"Familial breast cancer: collaborative reanalysis of individual data from 52 epidemiological studies including 58,209 women with breast cancer and 101,986 women without the disease","volume":"358","author":"Collaborative Group on Hormonal Factors in Breast Cancer","year":"2001","journal-title":"Lancet"},{"issue":"3","key":"2023111012332034100_djad101-B8","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1093\/aje\/kwn133","article-title":"Benign breast disease among first-degree relatives of young breast cancer patients","volume":"168","author":"Bertelsen","year":"2008","journal-title":"Am J Epidemiol"},{"issue":"10","key":"2023111012332034100_djad101-B9","doi-asserted-by":"crossref","first-page":"798","DOI":"10.1016\/S1470-2045(05)70390-9","article-title":"Mammographic breast density as an intermediate phenotype for breast cancer","volume":"6","author":"Boyd","year":"2005","journal-title":"Lancet Oncol"},{"issue":"7","key":"2023111012332034100_djad101-B10","doi-asserted-by":"crossref","first-page":"1590","DOI":"10.1158\/0008-5472.CAN-19-2455","article-title":"Heritability of mammographic breast density, density change, microcalcifications, and masses","volume":"80","author":"Holowko","year":"2020","journal-title":"Cancer Res"},{"issue":"6","key":"2023111012332034100_djad101-B11","doi-asserted-by":"crossref","first-page":"1740","DOI":"10.1093\/ije\/dyw357","article-title":"Cohort profile: the Karolinska mammography project for risk prediction of breast cancer (KARMA)","volume":"46","author":"Gabrielson","year":"2017","journal-title":"Int J Epidemiol"},{"key":"2023111012332034100_djad101-B12","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1007\/978-1-59745-423-0_10","article-title":"The Swedish Multi-generation Register","volume":"675","author":"Ekbom","year":"2011","journal-title":"Methods Mol Biol"},{"issue":"4","key":"2023111012332034100_djad101-B13","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1038\/ng.2563","article-title":"Large-scale genotyping identifies 41 new loci associated with breast cancer risk","volume":"45","author":"Michailidou","year":"2013","journal-title":"Nat Genet"},{"issue":"1","key":"2023111012332034100_djad101-B14","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1158\/1055-9965.EPI-16-0106","article-title":"The OncoArray consortium: a network for understanding the genetic architecture of common cancers","volume":"26","author":"Amos","year":"2017","journal-title":"Cancer Epidemiol Biomarkers Prev"},{"issue":"7678","key":"2023111012332034100_djad101-B15","doi-asserted-by":"crossref","first-page":"92","DOI":"10.1038\/nature24284","article-title":"Association analysis identifies 65 new breast cancer risk loci","volume":"551","author":"Michailidou","year":"2017","journal-title":"Nature"},{"issue":"4","key":"2023111012332034100_djad101-B16","doi-asserted-by":"crossref","first-page":"e1004234","DOI":"10.1371\/journal.pgen.1004234","article-title":"A general approach for haplotype phasing across the full spectrum of relatedness","volume":"10","author":"O\u2019Connell","year":"2014","journal-title":"PLoS Genet"},{"issue":"2","key":"2023111012332034100_djad101-B17","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.ajhg.2012.06.013","article-title":"Phasing of many thousands of genotyped samples","volume":"91","author":"Williams","year":"2012","journal-title":"Am J Hum Genet"},{"issue":"1","key":"2023111012332034100_djad101-B18","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1016\/j.ajhg.2018.11.002","article-title":"Polygenic risk scores for prediction of breast cancer and breast cancer subtypes","volume":"104","author":"Mavaddat","year":"2019","journal-title":"Am J Hum Genet"},{"author":"SNOMED International","key":"2023111012332034100_djad101-B19"},{"volume-title":"Pathology Reporting of Breast Disease is Surgical Excision Specimens Incorporating the Dataset for Histological Reporting of Breast Cancer","year":"2016","author":"Ellis","key":"2023111012332034100_djad101-B20"},{"author":"Swedish Society of Pathology","key":"2023111012332034100_djad101-B21"},{"issue":"6","key":"2023111012332034100_djad101-B22","doi-asserted-by":"crossref","first-page":"e2114716","DOI":"10.1001\/jamanetworkopen.2021.14716","article-title":"Characterization of benign breast diseases and association with age, hormonal factors, and family history of breast cancer among women in Sweden","volume":"4","author":"Johansson","year":"2021","journal-title":"JAMA Netw Open"},{"issue":"2","key":"2023111012332034100_djad101-B23","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1007\/s10549-018-4690-5","article-title":"A comprehensive tool for measuring mammographic density changes over time","volume":"169","author":"Eriksson","year":"2018","journal-title":"Breast Cancer Res Treat"},{"issue":"3","key":"2023111012332034100_djad101-B24","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1016\/j.diii.2017.01.001","article-title":"BI-RADS(\u00ae) fifth edition: a summary of changes","volume":"98","author":"Spak","year":"2017","journal-title":"Diagn Interv Imaging"},{"issue":"1","key":"2023111012332034100_djad101-B25","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1186\/s13058-017-0820-y","article-title":"A clinical model for identifying the short-term risk of breast cancer","volume":"19","author":"Eriksson","year":"2017","journal-title":"Breast Cancer Res"},{"author":"Profound AI","key":"2023111012332034100_djad101-B26"},{"issue":"8","key":"2023111012332034100_djad101-B27","doi-asserted-by":"crossref","first-page":"1580","DOI":"10.1038\/sj.bjc.6602175","article-title":"The BOADICEA model of genetic susceptibility to breast and ovarian cancer","volume":"91","author":"Antoniou","year":"2004","journal-title":"Br J Cancer"},{"issue":"8","key":"2023111012332034100_djad101-B28","doi-asserted-by":"crossref","first-page":"1708","DOI":"10.1038\/s41436-018-0406-9","article-title":"BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors","volume":"21","author":"Lee","year":"2019","journal-title":"Genetics in Medicine"},{"issue":"3","key":"2023111012332034100_djad101-B29","doi-asserted-by":"crossref","first-page":"e0229999","DOI":"10.1371\/journal.pone.0229999","article-title":"Evaluating clinician acceptability of the prototype CanRisk tool for predicting risk of breast and ovarian cancer: a multi-methods study","volume":"15","author":"Archer","year":"2020","journal-title":"PLoS One"},{"issue":"1","key":"2023111012332034100_djad101-B30","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1186\/s13058-015-0653-5","article-title":"Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort","volume":"17","author":"Brentnall","year":"2015","journal-title":"Breast Cancer Res"},{"volume-title":"Familial Breast Cancer: Classification and Care of People at Risk of Familial Breast Cancer and Management of Breast Cancer and Related Risks in People with History of Breast Cancer. NICE Guideline CG164","year":"2013","author":"National Institute for Health and Clinical Excellence: Guidance","key":"2023111012332034100_djad101-B31"},{"issue":"10","key":"2023111012332034100_djad101-B32","doi-asserted-by":"crossref","first-page":"673","DOI":"10.7326\/M14-1465","article-title":"Identifying women with dense breasts at high risk for interval cancer: a cohort study","volume":"162","author":"Kerlikowske","year":"2015","journal-title":"Ann Intern Med"},{"issue":"5645","key":"2023111012332034100_djad101-B33","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1126\/science.1088759","article-title":"Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2","volume":"302","author":"King","year":"2003","journal-title":"Science"},{"issue":"8899","key":"2023111012332034100_djad101-B34","doi-asserted-by":"crossref","first-page":"692","DOI":"10.1016\/S0140-6736(94)91578-4","article-title":"Risks of cancer in BRCA1-mutation carriers. Breast Cancer Linkage Consortium","volume":"343","author":"Ford","year":"1994","journal-title":"Lancet"},{"issue":"7261","key":"2023111012332034100_djad101-B35","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1136\/bmj.321.7261.624","article-title":"ABC of breast diseases. Breast cancer-epidemiology, risk factors, and genetics","volume":"321","author":"McPherson","year":"2000","journal-title":"BMJ"},{"issue":"4","key":"2023111012332034100_djad101-B36","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1097\/GRF.0000000000000239","article-title":"Breast cancer epidemiology and risk factors","volume":"59","author":"Rojas","year":"2016","journal-title":"Clin Obstet Gynecol"},{"issue":"3, pt A","key":"2023111012332034100_djad101-B37","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.jacr.2017.11.034","article-title":"Breast cancer screening in women at\u00a0higher-than-average risk: recommendations From the ACR","volume":"15","author":"Monticciolo","year":"2018","journal-title":"J Am Coll Radiol"},{"issue":"23","key":"2023111012332034100_djad101-B38","doi-asserted-by":"crossref","first-page":"2942","DOI":"10.1200\/JCO.2013.49.3122","article-title":"Use of pharmacologic interventions for breast cancer risk reduction: American Society of Clinical Oncology clinical practice guideline","volume":"31","author":"Visvanathan","year":"2013","journal-title":"J Clin Oncol"},{"issue":"7","key":"2023111012332034100_djad101-B39","doi-asserted-by":"crossref","first-page":"526","DOI":"10.1093\/jnci\/95.7.526","article-title":"Estimates of the number of US women who could benefit from tamoxifen for breast cancer chemoprevention","volume":"95","author":"Freedman","year":"2003","journal-title":"J Natl Cancer Inst"},{"issue":"6","key":"2023111012332034100_djad101-B40","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1038\/sj.ejhg.5201822","article-title":"Communicating genetic information in families\u2013a review of guidelines and position papers","volume":"15","author":"Forrest","year":"2007","journal-title":"Eur J Hum Genet"},{"issue":"1","key":"2023111012332034100_djad101-B41","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1007\/s10549-014-3226-x","article-title":"Toward the breast screening balance sheet: cumulative risk of false positives for annual versus biennial mammograms commencing at age 40 or 50","volume":"149","author":"Winch","year":"2015","journal-title":"Breast Cancer Res Treat"},{"issue":"7","key":"2023111012332034100_djad101-B42","doi-asserted-by":"crossref","first-page":"943","DOI":"10.1158\/1940-6207.CAPR-11-0458","article-title":"Assessing individual breast cancer risk within the U.K. National Health Service Breast Screening Program: a new paradigm for cancer prevention","volume":"5","author":"Evans","year":"2012","journal-title":"Cancer Prev Res (Phila)"},{"issue":"8","key":"2023111012332034100_djad101-B43","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1038\/s41568-020-0266-x","article-title":"Key steps for effective breast cancer prevention","volume":"20","author":"Britt","year":"2020","journal-title":"Nat Rev Cancer"}],"container-title":["JNCI: Journal of the National Cancer Institute"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/jnci\/advance-article-pdf\/doi\/10.1093\/jnci\/djad101\/50729597\/djad101.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jnci\/article-pdf\/115\/11\/1310\/52934498\/djad101.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/jnci\/article-pdf\/115\/11\/1310\/52934498\/djad101.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,10]],"date-time":"2023-11-10T12:34:49Z","timestamp":1699619689000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/jnci\/article\/115\/11\/1310\/7181280"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,5,27]]},"references-count":43,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2023,5,27]]},"published-print":{"date-parts":[[2023,11,8]]}},"URL":"https:\/\/doi.org\/10.1093\/jnci\/djad101","relation":{},"ISSN":["0027-8874","1460-2105"],"issn-type":[{"type":"print","value":"0027-8874"},{"type":"electronic","value":"1460-2105"}],"subject":[],"published-other":{"date-parts":[[2023,11,1]]},"published":{"date-parts":[[2023,5,27]]}}}