The chemokine CCL5 as a potential prognostic factor predicting disease progression in stage II breast cancer patients

Neora Yaal-Hahoshen, Sima Shina, Leonor Leider-Trejo, Itay Barnea, Esther L. Shabtai, Elina Azenshtein, Iulia Greenberg, Iafa Keydar, Adit Ben-Baruch*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

131 Scopus citations


Purpose: The aim of this study was to determine the prognostic value of the chemokine CCL5, considered as a promalignancy factor in breast cancer, in predicting breast cancer progression and to evaluate its ability to strengthen the prognostic significance of other biomarkers. Experimental Design: The expression of CCL5, alone and in conjunction with estrogen receptor (ER)-α, ER-β, progesterone receptor (PR), and HER-2/neu (ErbB2), was determined in breast tumor cells by immunohistochemistry. The study included 142 breast cancer patients, including individuals in whom disease has progressed. Results: Using Cox proportional hazard models, univariate analysis suggested that, in stage I breast cancer patients, CCL5 was not a significant predictor of disease progression. In contrast, in stage II patients, the expression of CCL5 (CCL5+), the absence of ER-α (ER-α-), and the lack of PR expression (PR-) increased significantly the risk for disease progression (P = 0.0045, 0.0041, and 0.0107, respectively). The prognostic strength of CCL5, as welt as of ER-α-, improved by combining them together (CCL5+/ER-α-: P = 0.0001), being highly evident in the stage IIA subgroup [CCL5+/ER- α- (P = 0.0003); ER-α- (P = 0.0315)]. In the stage II group as a whole, the combinations of CCL5-/ER- α+ and CCL5-/PR+ were highly correlated with an improved prognosis. Multivariate analysis indicated that, in stage II patients, ER-α and CCL5 were independent predictors of disease progression. Conclusions: CCL5 could be considered as a biomarker for disease progression in stage II breast cancer patients, with the CCL5 +/ER-α- combination providing improved prediction of disease progression, primarily in the stage IIA subgroup.

Original languageEnglish
Pages (from-to)4474-4480
Number of pages7
JournalClinical Cancer Research
Issue number15
StatePublished - 1 Aug 2006


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