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Novel prognostic classification predicts overall survival of patients receiving salvage whole-brain radiotherapy for recurrent brain metastasis from breast cancer: A recursive partitioning analysis (KROG 16-12)

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dc.contributor.authorKim, Jae Sik-
dc.contributor.authorKim, Kyubo-
dc.contributor.authorJung, Wonguen-
dc.contributor.authorShin, Kyung Hwan-
dc.contributor.authorIm, Seock-Ah-
dc.contributor.authorKim, Yong Bae-
dc.contributor.authorChang, Jee Suk-
dc.contributor.authorChoi, Doo Ho-
dc.contributor.authorKim, Haeyoung-
dc.contributor.authorPark, Yeon Hee-
dc.contributor.authorKim, Dae Yong-
dc.contributor.authorKim, Tae Hyun-
dc.contributor.authorKwon, Jeanny-
dc.contributor.authorKang, Ki Mun-
dc.contributor.authorChung, Woong-Ki-
dc.contributor.authorKim, Kyung Su-
dc.contributor.authorKim, In Ah-
dc.date.accessioned2022-12-26T09:45:46Z-
dc.date.available2022-12-26T09:45:46Z-
dc.date.issued2021-12-
dc.identifier.issn0960-9776-
dc.identifier.issn1532-3080-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/2937-
dc.description.abstractBackground: To investigate outcomes of salvage whole-brain radiotherapy (WBRT) for recurrent brain metastases (BM) from breast cancer (BC), to identify prognostic factors of overall survival (OS), and to propose a novel prognostic classification for OS in these patients. Materials and methods: We identified 54 patients who had received salvage WBRT as the second brain-focused treatment for recurrent BM from BC (2000-2014). The median follow-up duration was 4.9 months. A recursive partitioning analysis (RPA) was conducted to develop a model to predict OS at the time of salvage WBRT. Results: The median OS was 6.8 months. OS according to BC-specific graded prognostic assessment (breast-GPA), modified breast-GPA, and updated breast-GPA did not represent our cohort. In the multivariate analysis, a long time before salvage WBRT (>= 16 months), control of primary BC or extracranial metastases, systemic treatment after salvage WBRT, and administration of a biologically effective dose for an alpha/beta of 10 Gy (BED10) of salvage WBRT >37.5 Gy showed superior OS. We proposed three RPA classes based on the control of both primary BC and extracranial metastasis and BED10 of salvage WBRT: class I, class II, and class III. In this model, patients with class I experienced the best OS (34.6 months; class II, 5.0 months; class III, 2.4 months; P < 0.001). Conclusions: In our RPA classification according to the control of both primary BC and extracranial metastasis and the dose of salvage WBRT, significant differences in OS were observed. The subsequent use of a systemic treatment showed better OS. (C) 2021 The Authors. Published by Elsevier Ltd.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherChurchill Livingstone-
dc.titleNovel prognostic classification predicts overall survival of patients receiving salvage whole-brain radiotherapy for recurrent brain metastasis from breast cancer: A recursive partitioning analysis (KROG 16-12)-
dc.typeArticle-
dc.publisher.location스코트랜드-
dc.identifier.doi10.1016/j.breast.2021.11.005-
dc.identifier.scopusid2-s2.0-85119284069-
dc.identifier.wosid000744958000036-
dc.identifier.bibliographicCitationBreast, v.60, pp 272 - 278-
dc.citation.titleBreast-
dc.citation.volume60-
dc.citation.startPage272-
dc.citation.endPage278-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaOncology-
dc.relation.journalResearchAreaObstetrics & Gynecology-
dc.relation.journalWebOfScienceCategoryOncology-
dc.relation.journalWebOfScienceCategoryObstetrics & Gynecology-
dc.subject.keywordPlusSTEREOTACTIC RADIOSURGERY-
dc.subject.keywordPlusRADIATION-THERAPY-
dc.subject.keywordPlusREIRRADIATION-
dc.subject.keywordPlusTRASTUZUMAB-
dc.subject.keywordPlusEFFICACY-
dc.subject.keywordAuthorBreast cancer-
dc.subject.keywordAuthorBrain metastasis-
dc.subject.keywordAuthorWhole-brain radiotherapy-
dc.subject.keywordAuthorOverall survival-
dc.subject.keywordAuthorRecursive partitioning analysis-
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