Takayuki Iwamoto
Department Kawasaki Medical School Kawasaki Medical School, Department of Breast and Thyroid Surgery, Position Assistant Professor |
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Article types | 原著 |
Language | English |
Peer review | Peer reviewed |
Title | Immunohistochemical Ki67 labeling index has similar proliferation predictive power to various gene signatures in breast cancer. |
Journal | Formal name:Cancer science Abbreviation:Cancer Sci ISSN code:13497006/13479032 |
Domestic / Foregin | Foregin |
Volume, Issue, Page | 103(8),pp.1508-12 |
Author and coauthor | Naoki Niikura, Takayuki Iwamoto, Shinobu Masuda, Nobue Kumaki, Tang Xiaoyan, Masatoshi Shirane, Kazushige Mori, Banri Tsuda, Takuho Okamura, Yuki Saito, Yasuhiro Suzuki, Yutaka Tokuda |
Authorship | 2nd author |
Publication date | 2012/08 |
Summary | The objective of this study was to examine the association between the immunohistochemical Ki67 labeling index (IHC Ki67), Ki67 mRNA expression level, and first-generation gene signatures in a cohort of breast cancer patients. We assessed associations between IHC Ki67 and first-generation gene signatures in a panel of 39 tumor samples, using an oligonucleotide microarray. Gene expression analyses included Ki67 alone (MKi67), 21-gene signature, mitosis kinome score signature, and genomic grade index. Correlation coefficients were calculated by Spearman's rank correlation test. In all cases, IHC Ki67, MKi67, and three genetic markers were highly correlated (ρ, 0.71-0.97). Estrogen receptor (ER)-positive cases showed strong correlations between IHC Ki67 and other signatures (ρ, 0.79-0.83). The ER-negative cases showed slightly lower correlations (ρ, 0.58-0.73). In ER-positive cases, the low IHC Ki67 group showed significantly longer relapse-free survival than the high IHC Ki67 group (P = 0.007). This difference was confirmed by multivariate analysis. Our data indicate that IHC Ki67 shows similar predictive power for proliferation in ER-positive cancers as genomic markers. Further study of IHC Ki67 is needed to define prognostic factors and predictive factors for chemotherapy using central laboratory assessment. |
DOI | 10.1111/j.1349-7006.2012.02319.x |
PMID | 22537114 |