{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T15:37:21Z","timestamp":1771256241210,"version":"3.50.1"},"reference-count":26,"publisher":"Wiley","issue":"S8","license":[{"start":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T00:00:00Z","timestamp":1704844800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["acsjournals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Cancer"],"published-print":{"date-parts":[[2024,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Primary stage IV breast cancer is associated with a poor prognosis. At present, the value of local surgical treatment for patients with stage IV breast cancer remains uncertain; therefore, treatment principles remain controversial. Because of the high heterogeneity of these patients, it is often difficult to evaluate their prognoses. As a result, this study aimed to establish a prognostic nomogram to evaluate the prognosis of patients with breast cancer experiencing primary bone metastasis.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>The clinical characteristics and follow\u2010up data of patients with primary breast cancer and bone metastasis from 2010 to 2018 were collected from the Surveillance, Epidemiology, and End Results database and from 2013 to 2021 at the Peking Union Medical College Hospital. Patients were divided into training and validation groups. Multivariate Cox regression analysis was used to identify the independent prognostic variables for predicting cancer\u2010specific survival (CSS). On the basis of these independent risk factors, a nomogram was developed and used calibration curves to evaluate its accuracy. Patients were divided into three risk groups according to their scores and surgery\u2010related survival curves plotted using the log\u2010rank test.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Overall, 6372 patients were included, with 6319 from the Surveillance, Epidemiology, and End Results database and 53 from the Peking Union Medical College Hospital Breast Surgery Department. Multivariate analysis showed that age, race, marital status, grade, tumor stage, estrogen receptor status, progesterone receptor status, human epidermal growth factor receptor 2 status, and burden of other metastatic lesions were all associated with CSS. Based on these results, a nomogram that predicted the 1\u2010, 3\u2010, and 5\u2010year CSS rates in patients with primary breast cancer and bone metastasis (concordance index &gt; 0.69) was developed. After dividing patients into low\u2010risk, high\u2010risk, or super\u2010high\u2010risk groups based on nomogram scoring criteria, survival analysis revealed that patients in the low\u2010 and high\u2010risk groups had significant survival benefits from primary focal surgery.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>Independent risk factors for primary breast cancer in patients with bone metastasis were analyzed and a nomogram established to predict CSS. The prognostic tool derived in this study can assist clinicians in predicting the survival and surgical benefits of these patients through scoring, thereby providing further guidance for treatment strategies.<\/jats:p><\/jats:sec>","DOI":"10.1002\/cncr.35166","type":"journal-article","created":{"date-parts":[[2024,1,10]],"date-time":"2024-01-10T13:15:59Z","timestamp":1704892559000},"page":"1464-1475","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Nomogram predicts survival and surgical benefits for patients with breast cancer with initial bone metastasis: A population\u2010based study"],"prefix":"10.1002","volume":"130","author":[{"given":"Xingtong","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Breast Surgery Peking Union Medical College Hospital Chinese Academy of Medical Sciences  Beijing 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