Identifying the origin and phenotype of cells in tumor xenografts.

The growth of human tumor cells transplanted into immunodeficient mice is frequently studied to gain understanding about the way potential drug treatments interfere with growth in vivo. A wide range of methods is available for learning about specific aspects of tumor cell behavior, for example, cells may be administered to follow their ability to grow close to the site of injection which may be at a generic site or one specific to that type of tumor. Some models of metastasis follow the appearance of a tumor mass after intravascular administration of tumor cells; others score remote growth after removal of a primary tumor implanted subcutaneously. Assessing metastatic growth may increasingly rely on serial observation of tumor cell numbers as seen by whole-body imaging, but the sensitivity of these methods is poor in terms of the minimum number of cells detectable, and histological follow-up to establish tumor cell numbers can be confounded by variable expression or even silencing of reporter genes. Here we describe how fluorescence in situ hybridization (FISH) using commercially available probes can very easily be used to detect even single metastatic tumor cells in mouse models, using routinely fixed and processed tissue samples, and without the tumor cell lines needing to express engineered reporter genes. The FISH protocol can be combined with other standard histological protocols to study the behavior of tumor cells and adjacent host cells to improve our understanding of tumor-stroma interactions, and is also useful for simultaneous demonstration of the cell of origin and phenotype of cells used in regenerative medicine-based applications.

Identification of NTN4, TRA1, and STC2 as prognostic markers in breast cancer in a screen for signal sequence encoding proteins.

PURPOSE: In a previous screen using a signal-trap library, we identified a number of secreted proteins up-regulated in primary tumor cells isolated from invasive breast cancers. The purpose of this study was to assess the expression of these genes in human invasive breast tumors and to determine the significance of their expression for prognosis in breast cancer. EXPERIMENTAL DESIGN: A tissue microarray containing 245 invasive breast tumors from women treated with curative surgery followed by anthracycline-based chemotherapy and hormone therapy for the estrogen receptor (ER)-positive tumors was screened by in situ hybridization with probes against thrombospondin 3 (TSP3), insulin-like growth factor binding protein 7 (IGFBP7), tumor rejection antigen 1 (TRA1), stanniocalcin 2 (STC2), and netrin 4 (NTN4). Correlations between categorical variables were done using the chi(2) test and Fisher's exact test. Cumulative survival probabilities were calculated using the Kaplan-Meier method and multivariate survival analysis was done with Cox hazard model. A series of breast cancers were also stained with NTN4 antibodies. RESULTS: All five genes examined were expressed in invasive breast tumor cells. NTN4 protein expression was also confirmed by immunohistochemistry. Together, these data validate the design and screening of the signal-trap library. Univariate survival analysis revealed that expressions of TRA1, STC2, and NTN4 are correlated with longer disease-free survival and that TRA1 and NTN4 are associated with longer overall survival. Multivariate analysis showed that NTN4 is an independent prognostic factor of overall survival. CONCLUSIONS: This article describes the identification of three secreted proteins, NTN4, TRA1, and STC2, as potential novel prognostic markers in breast cancer.

Expression of HIF-1alpha, HIF-2alpha (EPAS1), and their target genes in paraganglioma and pheochromocytoma with VHL and SDH mutations.

CONTEXT: Activation of the hypoxia-inducible transcription factors HIF-1 and HIF-2 and a HIF-independent defect in developmental apoptosis have been implicated in the pathogenesis of pheochromocytoma (PCC) associated with VHL, SDHB, and SDHD mutations. OBJECTIVE: Our objective was to compare protein (HIF-1alpha, EPAS1, SDHB, JunB, CCND1, CD34, CLU) and gene (VEGF, BNIP3) expression patterns in VHL and SDHB/D associated tumors. RESULTS: Overexpression of HIF-2 was relatively more common in VHL than SDHB/D PCC (12 of 13 vs. 14 of 20, P = 0.02), whereas nuclear HIF-1 staining was relatively more frequent in SDHB/D PCC (19 of 20 vs. 13 of 16, P = 0.04). In addition, CCND1 and VEGF expression (HIF-2 target genes) was significantly higher in VHL than in SDHB/D PCC. These findings suggest that VHL inactivation leads to preferential HIF-2 activation and CCND1 expression as described previously in VHL-defective renal cell carcinoma cell lines but not in other cell types. These similarities between the downstream consequences of VHL inactivation and HIF dysregulation in renal cell carcinoma and PCC may explain how inactivation of the ubiquitously expressed VHL protein results in susceptibility to specific tumor types. Both VHL and SDHB/D PCC demonstrated reduced CLU and SDHB expression. SDHB PCC are associated with a high risk of malignancy, and expression of (proapototic) BNIP3 was significantly lower in SDHB than VHL PCC. CONCLUSION: Although inactivation of VHL and SDHB/D may disrupt similar HIF-dependent and HIF-independent signaling pathways, their effects on target gene expression are not identical, and this may explain the observed clinical differences in PCC and associated tumors seen with germline VHL and SDHB/D mutations.