PURPOSE: The beta4 integrin has been implicated in functions associated with the genesis and progression of carcinomas based on data obtained from cell lines and mouse models. Data on its expression and relevance to human carcinomas, however, are relatively scant. The aim of this study was to assess its expression and prognostic significance in human breast carcinomas. EXPERIMENTAL DESIGN: We integrated data on beta4 expression from multiple gene profiling studies of breast tumors of known clinical outcome with immunohistochemical analysis of 105 breast carcinomas, and we identified genes whose expression correlates with that of beta4. RESULTS: The expression of both beta4 mRNA and protein is not homogeneous in breast cancer and it associates most significantly with the "basal-like" subtype of breast tumors (P = 0.008). No association between beta4 and HER2 expression was evident from either gene profiling or immunohistochemical analysis. To gain insight into the relevance of beta4 expression to human breast carcinomas, we generated a 65-gene "beta4 signature" based on integration of four published gene profiling studies that included the top 0.1% of genes that correlated with beta4, either positively or negatively. This beta4 signature predicted decreased time to tumor recurrence and survival of patients when applied to four data sets including two independent ones. CONCLUSIONS: These observations indicate that beta4 expression in human breast cancer is restricted and associated with basal-like cancers, and they support the hypothesis that beta4 may function in concert with a discrete set of proteins to facilitate the aggressive behavior of a subset of tumors.
PURPOSE: The beta4 integrin has been implicated in functions associated with the genesis and progression of carcinomas based on data obtained from cell lines and mouse models. Data on its expression and relevance to humancarcinomas, however, are relatively scant. The aim of this study was to assess its expression and prognostic significance in humanbreast carcinomas. EXPERIMENTAL DESIGN: We integrated data on beta4 expression from multiple gene profiling studies of breast tumors of known clinical outcome with immunohistochemical analysis of 105 breast carcinomas, and we identified genes whose expression correlates with that of beta4. RESULTS: The expression of both beta4 mRNA and protein is not homogeneous in breast cancer and it associates most significantly with the "basal-like" subtype of breast tumors (P = 0.008). No association between beta4 and HER2 expression was evident from either gene profiling or immunohistochemical analysis. To gain insight into the relevance of beta4 expression to humanbreast carcinomas, we generated a 65-gene "beta4 signature" based on integration of four published gene profiling studies that included the top 0.1% of genes that correlated with beta4, either positively or negatively. This beta4 signature predicted decreased time to tumor recurrence and survival of patients when applied to four data sets including two independent ones. CONCLUSIONS: These observations indicate that beta4 expression in humanbreast cancer is restricted and associated with basal-like cancers, and they support the hypothesis that beta4 may function in concert with a discrete set of proteins to facilitate the aggressive behavior of a subset of tumors.
Authors: Kristin D Gerson; Jeffrey R Shearstone; V S R Krishna Maddula; Bruce E Seligmann; Arthur M Mercurio Journal: J Biol Chem Date: 2012-02-03 Impact factor: 5.157
Authors: Matthew F Buas; Jung-hyun Rho; Xiaoyu Chai; Yuzheng Zhang; Paul D Lampe; Christopher I Li Journal: Breast Cancer Res Treat Date: 2015-08-30 Impact factor: 4.872
Authors: X Wan; S Y Kim; L M Guenther; A Mendoza; J Briggs; C Yeung; D Currier; H Zhang; C Mackall; W-J Li; R S Tuan; A T Deyrup; C Khanna; L Helman Journal: Oncogene Date: 2009-07-13 Impact factor: 9.867
Authors: Wen-Lin Kuo; Debopriya Das; Safiyyah Ziyad; Sanchita Bhattacharya; William J Gibb; Laura M Heiser; Anguraj Sadanandam; Gerald V Fontenay; Zhi Hu; Nicholas J Wang; Nora Bayani; Heidi S Feiler; Richard M Neve; Andrew J Wyrobek; Paul T Spellman; Laurence J Marton; Joe W Gray Journal: BMC Med Date: 2009-12-14 Impact factor: 8.775