Dataset features


Application: Gene expression microarray analysis
Number of samples: 18
Release date: Feb 20 2014
Last update date: Jul 26 2018
Access: Public
Diseases: Urinary Bladder Neoplasms, Neoplasms
Dataset link Suppression and Activation of the Malignant Phenotype by Extracellular Matrix in Xenograft Models of Bladder Cancer: A Model for Tumor Cell Dormancy

Experimental Protocol

Earlier we demonstrated that the phenotype of bladder cancer cells was radically different in 3-dimensional organotypic culture when grown on a normal extracellular matrix preparation (SISgel) as compared to that observed on a cancer-modulated permissive extracellular matrix preparation (Matrigel). SISgel is a gel-forming material derived from acellular small intestine submucosa, whereas Matrigel is a basement membrane preparation obtained from a mouse sarcoma. On Matrigel the bladder cancer cells recapitulated the phenotype reported for the original tumor; in sharp contrast, most of the malignant properties were lost when the cells were grown on SISgel. Cell lines derived from papillomas formed a layered structure reminiscent of normal urothelium, whereas cell lines derived from higher grade tumors formed a noninvasive layer of cells. These findings suggested that growth of cancer cells on normal ECM could provide a model to investigate the phenomenon of suppression of malignancy by normal ECM in metastasis and recurrence. In this study we explored whether the phenotypic suppression seen in organotypic culture of bladder cancer cells on SISgel also is observed in vivo. Positive findings support the use of SISgel as a model for investigations of the dormant or suppressed tumor cell phenotype and of mechanisms by which the normal ECM exerts an inhibitory influence on tumorigenesis and metastasis. The findings strongly suggest that interactions of cancer cells with normal ECM play an important role in recurrence and metastasis and further suggest that targeting suppressed cells could represent a heretofore unexploited point of vulnerability in cancer therapy.










Mikhail Dozmorov

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