YKL-40 expression could be a poor prognostic marker in the breast cancer tissue
- Authors
- Kang, Eun Joo; Jung, Hoiseon; Woo, Ok Hee; Park, Kyong Hwa; Woo, Sang Uk; Yang, Dae Sik; Kim, Ae-Ree; Lee, Jae-Bok; Kim, Yeul Hong; Kim, Jun Suk; Seo, Jae Hong
- Issue Date
- Jan-2014
- Publisher
- SAGE PUBLICATIONS LTD
- Keywords
- YKL-40; Breast cancer; Prognostic marker
- Citation
- TUMOR BIOLOGY, v.35, no.1, pp.277 - 286
- Indexed
- SCIE
SCOPUS
- Journal Title
- TUMOR BIOLOGY
- Volume
- 35
- Number
- 1
- Start Page
- 277
- End Page
- 286
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/99667
- DOI
- 10.1007/s13277-013-1036-0
- ISSN
- 1010-4283
- Abstract
- YKL-40 is a glycoprotein involved in cellular growth, migration, and the inflammatory process. Elevation in serum levels of YKL-40 has been associated with worse prognosis in various cancers, including breast cancer. Given that the clinical significance of YKL-40 expression in breast cancer tissue is unclear, we aimed to determine the prognostic value of YKL-40 expression in breast cancer tissue using immunohistochemistry. We performed tissue microarray (TMA) analysis of 425 breast cancer tissues collected during operation. Immunohistochemical staining was performed to measure expression of YKL-40 and several breast cancer biomarkers, such as aldehyde dehyadrogenase1, TGF-beta, and Gli-1 as well as hormonal receptor and Her-2/neu status. Statistical analysis of the relationship of YKL-40 expression with clinicopathological characteristics was performed for 390 TMA samples. YKL-40 was expressed to varying degrees in 84.9 % of breast cancer tissues. YKL-40 expression was correlated with estrogen receptor and progesterone receptor negativity and was positively correlated with TGF-beta and Gli-1 expression. Strong YKL-40 expression was associated with a larger proportion of Her-2/neu-enriched and basal-like tumors. The results of this study demonstrate that YKL-40 expression in breast cancer tissues is associated with hormone receptor negativity and Her-2/neu-enriched molecular subtypes of breast cancer, and therefore could be considered a poor prognostic predictor.
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Collections - College of Medicine > Department of Medical Science > 1. Journal Articles
- Graduate School > Department of Biomedical Sciences > 1. Journal Articles
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