{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T13:13:32Z","timestamp":1789132412041,"version":"build-2803163510"},"reference-count":25,"publisher":"American Society of Clinical Oncology (ASCO)","issue":"9","content-domain":{"domain":["ascopubs.org"],"crossmark-restriction":true},"short-container-title":["JCO"],"published-print":{"date-parts":[[2015,3,20]]},"abstract":"<jats:sec><jats:title>Purpose<\/jats:title><jats:p> To compare tumor characteristics and risk factors of interval breast cancers and screen-detected breast cancers, taking mammographic density into account. <\/jats:p><\/jats:sec><jats:sec><jats:title>Patients and Methods<\/jats:title><jats:p> Women diagnosed with invasive breast cancer from 2001 to 2008 in Stockholm, Sweden, with data on tumor characteristics (n = 4,091), risk factors, and mammographic density (n = 1,957) were included. Logistic regression was used to compare interval breast cancers with screen-detected breast cancers, overall and by highest and lowest quartiles of percent mammographic density. <\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p> Compared with screen-detected breast cancers, interval breast cancers in nondense breasts (\u2264 20% mammographic density) were significantly more likely to exhibit lymph node involvement (odds ratio [OR], 3.55; 95% CI, 1.74 to 7.13) and to be estrogen receptor negative (OR, 4.05; 95% CI, 2.24 to 7.25), human epidermal growth factor receptor 2 positive (OR, 5.17; 95% CI, 1.64 to 17.01), progesterone receptor negative (OR, 2.63; 95% CI, 1.58 to 4.38), and triple negative (OR, 5.33; 95% CI, 1.21 to 22.46). In contrast, interval breast cancers in dense breasts (&gt; 40.9% mammographic density) were less aggressive than interval breast cancers in nondense breasts (overall difference, P = .008) and were phenotypically more similar to screen-detected breast cancers. Risk factors differentially associated with interval breast cancer relative to screen-detected breast cancer after adjusting for age and mammographic density were family history of breast cancer (OR, 1.32; 95% CI, 1.02 to 1.70), current use of hormone replacement therapy (HRT; OR, 1.84; 95% CI, 1.38 to 2.44), and body mass index more than 25 kg\/m<jats:sup>2<\/jats:sup> (OR, 0.49; 95% CI, 0.29 to 0.82). <\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p> Interval breast cancers in women with low mammographic density have the most aggressive phenotype. The effect of HRT on interval breast cancer risk is not fully explained by mammographic density. Family history is associated with interval breast cancers, possibly indicating disparate genetic background of screen-detected breast cancers and interval breast cancers. <\/jats:p><\/jats:sec>","DOI":"10.1200\/jco.2014.58.9986","type":"journal-article","created":{"date-parts":[[2015,2,3]],"date-time":"2015-02-03T04:18:43Z","timestamp":1422937123000},"page":"1030-1037","update-policy":"https:\/\/doi.org\/10.1200\/crossmark","source":"Crossref","is-referenced-by-count":118,"title":["Risk Factors and Tumor Characteristics of Interval Cancers by Mammographic Density"],"prefix":"10.1200","volume":"33","author":[{"given":"Johanna","family":"Holm","sequence":"first","affiliation":[{"name":"Johanna Holm, Keith Humphreys, Jingmei Li, Alexander Ploner, Abbas Cheddad, Mikael Eriksson, Per Hall, and Kamila Czene, Karolinska Institutet; Sven T\u00f6rnberg, Stockholm-Gotland Regional Cancer Centre, Stockholm, Sweden; and Jingmei Li, Genome Institute of Singapore, Singapore, Singapore."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keith","family":"Humphreys","sequence":"additional","affiliation":[{"name":"Johanna Holm, Keith Humphreys, Jingmei Li, Alexander Ploner, Abbas Cheddad, Mikael Eriksson, Per Hall, and Kamila Czene, Karolinska Institutet; Sven T\u00f6rnberg, Stockholm-Gotland Regional Cancer Centre, Stockholm, Sweden; and Jingmei Li, Genome Institute of Singapore, Singapore, Singapore."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingmei","family":"Li","sequence":"additional","affiliation":[{"name":"Johanna Holm, Keith Humphreys, Jingmei Li, Alexander Ploner, Abbas Cheddad, Mikael Eriksson, Per Hall, and Kamila Czene, Karolinska Institutet; Sven T\u00f6rnberg, Stockholm-Gotland Regional Cancer Centre, Stockholm, Sweden; and Jingmei Li, Genome Institute of Singapore, Singapore, Singapore."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Ploner","sequence":"additional","affiliation":[{"name":"Johanna Holm, Keith Humphreys, Jingmei Li, Alexander Ploner, Abbas Cheddad, Mikael Eriksson, Per Hall, and Kamila Czene, Karolinska Institutet; Sven T\u00f6rnberg, Stockholm-Gotland Regional Cancer Centre, Stockholm, Sweden; and Jingmei Li, Genome Institute of Singapore, Singapore, Singapore."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Abbas","family":"Cheddad","sequence":"additional","affiliation":[{"name":"Johanna Holm, Keith Humphreys, Jingmei Li, Alexander Ploner, Abbas Cheddad, Mikael Eriksson, Per Hall, and Kamila Czene, Karolinska Institutet; 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