{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T09:14:55Z","timestamp":1774170895101,"version":"3.50.1"},"reference-count":32,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T00:00:00Z","timestamp":1657843200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer Medicine"],"published-print":{"date-parts":[[2023,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Intraductal papillary carcinoma (IPC) with invasion is a rare type of breast cancer. There have been few studies on its prognosis, and a nomogram that predicts the prognosis of the disease has not been described to date.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Patients who were diagnosed with invasive IPC were screened from the Surveillance, Epidemiology, and End Results (SEER) database. The screened patients were randomly divided into a training cohort and a verification cohort at 7:3. A Cox proportional hazard regression model was performed to analyze the effects of different variables on the risk of death in invasive IPC. A nomogram was constructed to quantify the possibility of death. The concordance index (C\u2010index), calibration plots, receiver operating characteristic (ROC) curves, and decision curves analysis (DCA) were used to verify the proposed model.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We included a total of 803 patients diagnosed with invasive IPC, including 563 patients in the training cohort and 240 patients in the validation cohort. The median follow\u2010up times in the training cohort and validation cohort were 63\u2009months (range, 2\u2013155\u2009months) and 61\u2009months (range, 1\u2013154\u2009months), respectively. For all patients, the probability of death with invasive IPC was 1.4% within 5\u2009years and 5.4% within 10\u2009years. In multivariate analysis, sex, race, tumor size, lymph node status, type of treatment, and chemotherapy were related to the prognosis of invasive IPC. We constructed a nomogram to predict the possibility of death in patients with invasive IPC.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Patients with invasive IPC had a high survival rate. The proven nomogram was helpful to both patients and clinical decision makers.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cam4.5007","type":"journal-article","created":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T08:09:45Z","timestamp":1657872585000},"page":"1305-1318","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Intraductal papillary carcinoma of breast with invasion: A nomogram and survival from the analysis of the <scp>SEER<\/scp> database"],"prefix":"10.1002","volume":"12","author":[{"given":"Chenguang","family":"Liu","sequence":"first","affiliation":[{"name":"Department of Thyroid and Breast Surgery Tongji Hospital of Tongji Medical College of Huazhong University of Science and Technology  Wuhan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyang","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Thyroid and Breast Surgery Tongji Hospital of Tongji 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