Literature DB >> 25097078

Absence of multiple atypical chemokine binders (ACBs) and the presence of VEGF and MMP-9 predict axillary lymph node metastasis in early breast carcinomas.

Xiao-Hua Zeng1, Zhou-Luo Ou, Ke-Da Yu, Lan-Yun Feng, Wen-Jing Yin, Jing Li, Zhen-Zhou Shen, Zhi-Min Shao.   

Abstract

The aim of this study was to determine the frequency of axillary lymph node (ALN) metastasis of early breast cancers by evaluating the status of DARC, D6 and CCX-CKR and the levels of VEGF and MMP-9. The status of DARC, D6 and CCX-CKR and the levels VEGF and MMP-9 were evaluated in ALN- (n = 130) and ALN + (n = 88) patients with T1 breast cancer by immunohistochemical staining. For ALN, likelihood ratio χ (2)-tests were used for univariate analysis and logistic regression for multivariate analysis. Univariate analysis identified the nuclear grade, VEGF and MMP-9 expression and absence of DARC, D6 and CCX-CKR as predictors of ALN involvement. When combining the three receptors (DARC, D6 and CCX-CKR) together, tumors with multiple absence (multi-absence, any two or three loss) had a higher likelihood of being ALN positive than non-multi-absence (coexpression of any two or three) tumors (56.2 vs. 27.9 %, P < 0.001). The final multivariate logistic regression revealed nuclear grade, VEGF, MMP-9 and non-multi-absence versus multi-absence to be independent predictors of ALN involvement; the odds ratio (OR) and 95 % CI for non-multi-absence tumors versus multi-absence were 0.469 (0.233-0.943). Multi-absence was also associated with the involvement of four or more lymph nodes among ALN + tumors. Moreover, tumors with multi-absence had higher VEGF (78.1 vs. 50.0 %, P < 0.001) and MMP-9 (81.3 vs. 36.1 %, P < 0.001) expression than non-multi-absence tumors. Our data highlight that the absence of DARC, D6 and CCX-CKR in combination, which is associated with higher VEGF and MMP-9 expression, predicts the presence and extent of ALN metastasis in breast cancer.

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Year:  2014        PMID: 25097078     DOI: 10.1007/s12032-014-0145-y

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


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