Identifying long-term survivors among metastatic breast cancer patients undergoing primary tumor surgery
DC Field | Value | Language |
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dc.contributor.author | Yoo, Tae-Kyung | - |
dc.contributor.author | Chae, Byung Joo | - |
dc.contributor.author | Kim, Sei Joong | - |
dc.contributor.author | Lee, JungSun | - |
dc.contributor.author | Yoon, Tae In | - |
dc.contributor.author | Lee, Soo Jung | - |
dc.contributor.author | Park, Ho Yong | - |
dc.contributor.author | Park, Heung Kyu | - |
dc.contributor.author | Eom, Yong Hwa | - |
dc.contributor.author | Kim, Hyung Suk | - |
dc.contributor.author | Kim, Chang Jong | - |
dc.contributor.author | Shin, Man sik | - |
dc.contributor.author | You, Sun Hyong | - |
dc.contributor.author | Song, Byung Joo | - |
dc.date.available | 2020-02-27T17:44:31Z | - |
dc.date.created | 2020-02-06 | - |
dc.date.issued | 2017-08 | - |
dc.identifier.issn | 0167-6806 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/5894 | - |
dc.description.abstract | Purpose The prognostic role of primary tumor surgery in women with metastatic breast cancer at diagnosis is contentious. A subset of patients who will benefit from aggressive local treatment is needed to be identified. Using a nationwide database, we developed and validated a predictive model to identify long-term survivors among patients who had undergone primary tumor surgery. Methods A total of 150,043 patients were enrolled in the Korean Breast Cancer Registry between January 1990 and December 2014. Of these, 2332 (1.6%) presented with distant metastasis at diagnosis. Using Cox proportional hazards regression, we developed and validated a model that predicts survival in patients who undergo primary tumor surgery, based on the clinicopathological features of the primary tumor. Results A total of 2232 metastatic breast cancer patients were reviewed. Of these, 1541 (69.0%) patients had undergone primary tumor surgery. The 3-year survival rate was 62.6% in this subgroup. Among these patients, advanced T-stage, high-grade tumor, lymphovascular invasion, negative estrogen receptor status, high Ki-67 expression, and abnormal CA 15-3 and alkaline phosphatase levels were associated with poor survival. A prediction model was developed based on these factors, which successfully identified patients with remarkable survival (score 0-3, 3-year survival rate 87.3%). The clinical significance of the model was also validated with an independent dataset. Conclusions We have developed a predictive model to identify long-term survivors among women who undergo primary tumor surgery. This model will provide guidance to patients and physicians when considering surgery as a treatment modality for metastatic breast cancer. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER | - |
dc.relation.isPartOf | BREAST CANCER RESEARCH AND TREATMENT | - |
dc.subject | RANDOMIZED CONTROLLED-TRIAL | - |
dc.subject | SURGICAL REMOVAL | - |
dc.subject | DISEASE | - |
dc.subject | IMPACT | - |
dc.subject | METAANALYSIS | - |
dc.subject | INCREASES | - |
dc.subject | RESECTION | - |
dc.subject | THERAPY | - |
dc.subject | BENEFIT | - |
dc.title | Identifying long-term survivors among metastatic breast cancer patients undergoing primary tumor surgery | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.identifier.wosid | 000405611500010 | - |
dc.identifier.doi | 10.1007/s10549-017-4309-2 | - |
dc.identifier.bibliographicCitation | BREAST CANCER RESEARCH AND TREATMENT, v.165, no.1, pp.109 - 118 | - |
dc.identifier.scopusid | 2-s2.0-85020130992 | - |
dc.citation.endPage | 118 | - |
dc.citation.startPage | 109 | - |
dc.citation.title | BREAST CANCER RESEARCH AND TREATMENT | - |
dc.citation.volume | 165 | - |
dc.citation.number | 1 | - |
dc.contributor.affiliatedAuthor | Park, Heung Kyu | - |
dc.type.docType | Article | - |
dc.subject.keywordPlus | RANDOMIZED CONTROLLED-TRIAL | - |
dc.subject.keywordPlus | SURGICAL REMOVAL | - |
dc.subject.keywordPlus | DISEASE | - |
dc.subject.keywordPlus | IMPACT | - |
dc.subject.keywordPlus | METAANALYSIS | - |
dc.subject.keywordPlus | INCREASES | - |
dc.subject.keywordPlus | RESECTION | - |
dc.subject.keywordPlus | THERAPY | - |
dc.subject.keywordPlus | BENEFIT | - |
dc.relation.journalResearchArea | Oncology | - |
dc.relation.journalWebOfScienceCategory | Oncology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
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