Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Expression of receptor activator of nuclear factor kappa-B as a poor prognostic marker in breast cancer.

Authors: Hyung Seok, Park; Ahwon, Lee; Byung Joo, Chae; Ja-Seong, Bae; Byung Joo, Song; Sang Seol, Jung;

Expression of receptor activator of nuclear factor kappa-B as a poor prognostic marker in breast cancer.

Abstract

Receptor activator of nuclear factor kappa-B and its ligand (RANK/RANKL) and Osteoprotegerin (OPG) are key molecules for regulating osteoclastic activity in bone. However, little is known about the role of RANK-related molecules in breast cancer prognosis. We aimed to evaluate RANK, RANKL, and OPG expression and the associated clinical impact in breast cancer.Tissue microarray (TMA) from 185 patients with primary breast cancer was established. Immunohistochemistry for RANK, RANKL, and OPG was performed. Clinicopathologic features and survival outcomes associated with expression of RANK, RANKL, and OPG were analyzed.RANK, RANKL, and OPG were expressed in 74.1%, 78.4%, and 45.9% of patients, respectively. RANKL expression was associated with lower Ki-67 level. OPG expression was related to small tumor size, node negativity, and low Ki-67. There was no significant difference in clinicopathologic features between tumors with RANK and those without RANK. RANK expression was significantly associated with poor disease-free survival in univariate analysis (P = 0.04) and multivariate analysis (P = 0.02). RANKL expression was associated with improved skeletal disease-free survival in multivariate analysis (P = 0.03).The RANK/RANKL pathway regulated by OPG may have a role in predicting progression and prognosis of breast cancer.

Related Organizations
Keywords

Receptor Activator of Nuclear Factor-kappa B, RANK Ligand, Osteoprotegerin, Breast Neoplasms, Middle Aged, Prognosis, Immunoenzyme Techniques, Survival Rate, Biomarkers, Tumor, Humans, Female, Prospective Studies, Neoplasm Grading, Neoplasm Metastasis, Neoplasm Recurrence, Local, Follow-Up Studies

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    36
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Related to Research communities
Cancer Research
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!