Cited 195 times in
Characteristics and outcomes according to molecular subtypes of breast cancer as classified by a panel of four biomarkers using immunohistochemistry
DC Field | Value | Language |
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dc.contributor.author | 구자승 | - |
dc.contributor.author | 김승일 | - |
dc.contributor.author | 박병우 | - |
dc.contributor.author | 박세호 | - |
dc.contributor.author | 박형석 | - |
dc.contributor.author | 이종석 | - |
dc.contributor.author | 이준상 | - |
dc.date.accessioned | 2014-12-19T16:35:10Z | - |
dc.date.available | 2014-12-19T16:35:10Z | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 0960-9776 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/89808 | - |
dc.description.abstract | To investigate the significance of immunohistochemical molecular subtyping, we evaluated outcomes of subtypes based on estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2), and Ki-67. Using tissue microarrays, 1006 breast cancer patients between November 1999 and August 2005 were categorized into four subtypes: luminal A (ER+ and/or PR+, HER2-, Ki-67 < 14%), luminal B (ER+ and/or PR+, HER2-, Ki-67 ≥ 14% or ER+ and/or PR+, HER2+), HER2-enriched (ER-, PR-, HER2+), and triple-negative breast cancer (TNBC) (ER-, PR-, HER2-). Demographics, recurrence patterns, and survival were retrospectively analyzed using uni-/multivariate analyses. Luminal A, luminal B, HER2-enriched, and TNBC accounted for 53.1%, 21.7%, 9.0%, and 16.2% of cases, respectively. Luminal A presented well-differentiation and more co-expression of hormone receptors comparing to luminal B. HER2-enriched showed larger size and higher nodal metastasis. TNBC demonstrated younger age at diagnosis, larger size, undifferentiation, higher proliferation, and frequent visceral metastases. The peak of recurrence for luminal A was at 36 months postoperatively, while that for HER2-enriched and TNBC peaked at 12 months. The relapse risk of luminal B was mixed. Luminal A showed the best survival, but no difference was observed between the other three subtypes. When matched by nodal status, however, TNBC showed the worst outcomes in node-positive patients. In multivariate analyses, luminal A remained a positive prognostic significance. Immunohistochemically-defined subtypes showed different features, recurrence patterns, and survival. Therefore, molecular subtypes using four biomarkers could provide clinically useful information of tumor biology and clinical behaviors, and could be used for determining treatment and surveillance strategies. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | BREAST | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Adult | - |
dc.subject.MESH | Aged | - |
dc.subject.MESH | Aged, 80 and over | - |
dc.subject.MESH | Biomarkers, Tumor/biosynthesis* | - |
dc.subject.MESH | Breast Neoplasms/classification | - |
dc.subject.MESH | Breast Neoplasms/metabolism* | - |
dc.subject.MESH | Female | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Immunohistochemistry | - |
dc.subject.MESH | Ki-67 Antigen/biosynthesis* | - |
dc.subject.MESH | Lymphatic Metastasis | - |
dc.subject.MESH | Middle Aged | - |
dc.subject.MESH | Neoplasm Metastasis | - |
dc.subject.MESH | Neoplasm Recurrence, Local | - |
dc.subject.MESH | Receptor, ErbB-2/biosynthesis* | - |
dc.subject.MESH | Receptors, Estrogen/biosynthesis* | - |
dc.subject.MESH | Receptors, Progesterone/biosynthesis* | - |
dc.subject.MESH | Survival Analysis | - |
dc.title | Characteristics and outcomes according to molecular subtypes of breast cancer as classified by a panel of four biomarkers using immunohistochemistry | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Pathology (병리학) | - |
dc.contributor.googleauthor | Seho Parka | - |
dc.contributor.googleauthor | Ja Seung Koo | - |
dc.contributor.googleauthor | Min Suk Kim | - |
dc.contributor.googleauthor | Hyung Seok Park | - |
dc.contributor.googleauthor | Jun Sang Lee | - |
dc.contributor.googleauthor | Jong Seok Lee | - |
dc.contributor.googleauthor | Seung Il Kim | - |
dc.contributor.googleauthor | Byeong-Woo Park | - |
dc.identifier.doi | 10.1016/j.breast.2011.07.008 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A03143 | - |
dc.contributor.localId | A00198 | - |
dc.contributor.localId | A00658 | - |
dc.contributor.localId | A01475 | - |
dc.contributor.localId | A01524 | - |
dc.contributor.localId | A01753 | - |
dc.contributor.localId | A03175 | - |
dc.relation.journalcode | J00400 | - |
dc.identifier.eissn | 1532-3080 | - |
dc.identifier.pmid | 21865043 | - |
dc.identifier.url | http://www.sciencedirect.com/science/article/pii/S0960977611001585 | - |
dc.subject.keyword | Biomarker | - |
dc.subject.keyword | Breast cancer | - |
dc.subject.keyword | Immunohistochemistry | - |
dc.subject.keyword | Molecular subtype | - |
dc.subject.keyword | Prognosis | - |
dc.contributor.alternativeName | Koo, Ja Seung | - |
dc.contributor.alternativeName | Kim, Seung Il | - |
dc.contributor.alternativeName | Park, Byeong Woo | - |
dc.contributor.alternativeName | Park, Se Ho | - |
dc.contributor.alternativeName | Park, Hyung Seok | - |
dc.contributor.alternativeName | Lee, Jong Seok | - |
dc.contributor.alternativeName | Lee, Jun Sang | - |
dc.contributor.affiliatedAuthor | Lee, Jong Seok | - |
dc.contributor.affiliatedAuthor | Koo, Ja Seung | - |
dc.contributor.affiliatedAuthor | Kim, Seung Il | - |
dc.contributor.affiliatedAuthor | Park, Byeong Woo | - |
dc.contributor.affiliatedAuthor | Park, Se Ho | - |
dc.contributor.affiliatedAuthor | Park, Hyung Seok | - |
dc.contributor.affiliatedAuthor | Lee, Jun Sang | - |
dc.contributor.affiliatedAuthor | 구자승 | - |
dc.citation.volume | 21 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 50 | - |
dc.citation.endPage | 57 | - |
dc.identifier.bibliographicCitation | BREAST, Vol.21(1) : 50-57, 2012 | - |
dc.identifier.rimsid | 31919 | - |
dc.type.rims | ART | - |
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