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Validation and Comparison of CS-IHC4 Scores with a Nomogram to Predict Recurrence in Hormone Receptor-Positive Breast Cancers
DC Field | Value | Language |
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dc.contributor.author | Park, Yeon Hee | - |
dc.contributor.author | Im, Seock-Ah | - |
dc.contributor.author | Cho, Eun Yoon | - |
dc.contributor.author | Ahn, Joong Hyun | - |
dc.contributor.author | Woo, Sook Young | - |
dc.contributor.author | Kim, Seonwoo | - |
dc.contributor.author | Keam, Bhumsuk | - |
dc.contributor.author | Lee, Jeong Eon | - |
dc.contributor.author | Han, Wonshik | - |
dc.contributor.author | Nam, Seok Jin | - |
dc.contributor.author | Park, In Ae | - |
dc.contributor.author | Noh, Dong-Young | - |
dc.contributor.author | Yang, Jung Hyun | - |
dc.contributor.author | Ahn, Jin Seok | - |
dc.contributor.author | Im, Young-Hyuck | - |
dc.date.accessioned | 2022-03-22T09:05:48Z | - |
dc.date.available | 2022-03-22T09:05:48Z | - |
dc.date.created | 2020-07-14 | - |
dc.date.created | 2020-07-14 | - |
dc.date.issued | 2014-07 | - |
dc.identifier.citation | Oncology, Vol.86 No.5-6, pp.279-288 | - |
dc.identifier.issn | 0030-2414 | - |
dc.identifier.other | 106338 | - |
dc.identifier.uri | https://hdl.handle.net/10371/177141 | - |
dc.description.abstract | The aim of this study was to both develop and validate a nomogram based on the Ki-67 index to predict recurrence. We constructed a nomogram using the Cox proportional hazards model with 953 N0 and N1 postoperative hormone receptor (HR)-positive breast cancer patients and validated it in an external cohort of 895 patients. A prognostic model that used classical variables, Adjuvant! Online, St. Gallen risk stratification, and the four immunohistochemistry (IHC) markers (IHC4 score) was created and assessed by the likelihood ratio X-2 (LR-X-2) test using the bootstrapping method. The nomogram showed an area under the receiver operating characteristic curve (AUC) of 0.75 (95% Cl 0.72-0.77) in the training set. The validation set showed good discrimination with an AUC of 0.63 (95% Cl 0.60-0.66). In the LR-X-2 test, the nomogram score was found to be more informative than the IHC4 with clinical score (CS) [LR-X-2 13.365 (1 d.f.); 95% Cl 2.50-24.23 for CS-IHC4 + nomogram score vs. CS-IHC4] on distant recurrence-free survival. This study implies that the amount of prognostic information contained in the nomogram is superior to that in the CS-IHC4 score in HR-positive NO and Ni breast cancer patients (NCT1273415). (C) 2014 S. Karger AG, Basel | - |
dc.language | 영어 | - |
dc.publisher | S. Karger AG | - |
dc.title | Validation and Comparison of CS-IHC4 Scores with a Nomogram to Predict Recurrence in Hormone Receptor-Positive Breast Cancers | - |
dc.type | Article | - |
dc.contributor.AlternativeAuthor | 임석아 | - |
dc.identifier.doi | 10.1159/000362281 | - |
dc.citation.journaltitle | Oncology | - |
dc.identifier.wosid | 000338975100004 | - |
dc.identifier.scopusid | 2-s2.0-84901729796 | - |
dc.citation.endpage | 288 | - |
dc.citation.number | 5-6 | - |
dc.citation.startpage | 279 | - |
dc.citation.volume | 86 | - |
dc.identifier.sci | 000338975100004 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Im, Seock-Ah | - |
dc.contributor.affiliatedAuthor | Han, Wonshik | - |
dc.contributor.affiliatedAuthor | Park, In Ae | - |
dc.contributor.affiliatedAuthor | Noh, Dong-Young | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | REPORTING RECOMMENDATIONS | - |
dc.subject.keywordPlus | PROGNOSTIC-FACTORS | - |
dc.subject.keywordPlus | ESTROGEN-RECEPTOR | - |
dc.subject.keywordPlus | KI-67 EXPRESSION | - |
dc.subject.keywordPlus | S-PHASE | - |
dc.subject.keywordPlus | MARKER | - |
dc.subject.keywordPlus | TRIAL | - |
dc.subject.keywordPlus | KI67 | - |
dc.subject.keywordPlus | METAANALYSIS | - |
dc.subject.keywordPlus | DOCETAXEL | - |
dc.subject.keywordAuthor | Ki-67 | - |
dc.subject.keywordAuthor | CS-IHC4 | - |
dc.subject.keywordAuthor | Hormone receptor | - |
dc.subject.keywordAuthor | Human epidermal growth factor receptor 2 | - |
dc.subject.keywordAuthor | Nomogram | - |
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