Literature DB >> 18381425

Attenuation of junctional adhesion molecule-A is a contributing factor for breast cancer cell invasion.

Meghna U Naik1, Tejal U Naik, Arthur T Suckow, Melinda K Duncan, Ulhas P Naik.   

Abstract

The metastatic potential of cancer cells is directly attributed to their ability to invade through the extracellular matrix. The mechanisms regulating this cellular invasiveness are poorly understood. Here, we show that junctional adhesion molecule A (JAM-A), a tight junction protein, is a key negative regulator of cell migration and invasion. JAM-A is robustly expressed in normal human mammary epithelium, and its expression is down-regulated in metastatic breast cancer tumors. In breast cancer cell lines, an inverse relationship between JAM-A expression and the ability of these cells to migrate on a collagen matrix was observed, which correlates with the known ability of these cells to metastasize. The T47D and MCF-7 cells, which migrate least, are found to express high levels of JAM-A, whereas the more migratory MDA-MB-468 cells have lower levels of JAM-A on the cell surface. MDA-MB-231 cells, which are highly migratory, express the least amount of JAM-A. Overexpression of JAM-A in MDA-MB-231 cells inhibited both migration and invasion through collagen gels. Furthermore, knockdown of JAM-A using short interfering RNAs enhanced the invasiveness of MDA-MB-231 cells as well as T47D cells. The ability of JAM-A to attenuate cell invasion correlated with the formation of increased numbers of focal adhesions and the formation of functional tight junctions. These results show for the first time that an immunoglobulin superfamily cell adhesion protein expressed at tight junctions could serve as a key negative regulator of breast cancer cell invasion and possibly metastasis. Furthermore, loss of JAM-A could be used as a biomarker for aggressive breast cancer.

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Year:  2008        PMID: 18381425     DOI: 10.1158/0008-5472.CAN-07-3057

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  70 in total

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