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12 citation(s) found for "Eschbacher, Jennifer".

TROY (TNFRSF19) Promotes Glioblastoma Survival Signaling and Therapeutic Resistance
Loftus, Joseph C. , Tuncali, Serdar, Kloss, Jean , Schumacher, Cassie, Cao, Brian, Williams, Bart O. , Eschbacher, Jennifer , Ross, Julianna T.D., Tran, Nhan L. , Dhruv, Harshil , Yang, Zhongbo , Tran, Nhan L

Molecular Cancer Research | May 23, 2013 | Volume: 11 | Issue: 8 | Pages: 865-874

10.1158/1541-7786.mcr-13-0008 | PMID 23699535 Get It

Abstract Of the features that characterize glioblastoma, arguably none is more clinically relevant than the propensity of malignant glioma cells to aggressively invade into the surrounding normal brain tissue. These invasive cells render complete resection impossible, confer significant resistance to chemo- and radiation-therapy, and virtually assure tumor recurrence. Expression of TROY (TNFRSF19), a member of the TNF receptor superfamily, inversely correlates with patient survival and stimulates glioblastoma cell migration and invasion in vitro. In this study, we report that TROY is overexpressed in glioblastoma tumor specimens and TROY mRNA expression is increased in the invasive cell population in vivo. In addition, inappropriate expression of TROY in mouse astrocytes in vivo using glial-specific gene transfer in transgenic mice induces astrocyte migration within the brain, validating the importance of the TROY signaling cascade in glioblastoma cell migration and invasion. Knockdown of TROY expression in primary glioblastoma xenografts significantly prolonged survival in vivo. Moreover, TROY expression significantly increased resistance of glioblastoma cells to both IR- and TMZ-induced apoptosis via activation of Akt and NF-κB. Inhibition of either Akt or NF-κB activity suppressed the survival benefits of TROY signaling in response to TMZ treatment. These findings position aberrant expression and/or signaling by TROY as a contributor to the dispersion of glioblastoma cells and therapeutic resistance. Implications: Targeting of TROY may increase tumor vulnerability and improve therapeutic response in glioblastoma. Mol Cancer Res; 11(8); 865–74. ©2013 AACR.
Abstract 3748: Perfusion MRI estimation of glioma microvascular density to predict tumor recurrence and treatment response: Validation study through stereotactic tissue analysis
Hu, Leland , Eschbacher, Jennifer , Liu, Seban, Heiserman, Joseph E., Smith, Kris A. , Karis, John P. , Coons, Stephen W., Baxter, Leslie C. , Nakaji, Peter , Dueck, Amylou C. , Feuerstein, Burt G.

Cancer Research | February 25, 2011 | Volume: 70 | Issue: 8_Supplement | Pages: 3748-3748

10.1158/1538-7445.am10-3748 Get It

Abstract Purpose: This study uses spatially accurate image-guided tissue analysis to evaluate the correlation between Perfusion MRI (pMRI) and tissue microvascular density parameters as markers for tumor recurrence and treatment response in high-grade glioma (HGG). Methods: Following Institutional Review Board approval, we recruited previously treated (including chemo-radiation therapy) HGG patients undergoing surgical re-resection of new enhancing lesions on surveillance MRI. Preoperatively, we acquired pMRI and contrast-enhanced stereotactic T1-Weighted (T1W) MRI data sets. Intraoperatively, we recorded stereotactic locations of multiple biopsies based on T1W data sets that guided surgery. Following surgery, we coregistered pMRI and T1W data sets to calculate localized relative cerebral blood volume (rCBV) for each stereotactic specimen location. For each specimen, we performed 1) standard H&E staining to diagnose tumor recurrence or post-treatment radiation effect (PTRE); and 2) immunohistochemical analysis with CD34 to highlight tissue vessels. We analyzed CD-34 stained slides with Axiovision Automeasure 3.4 (Zeiss, Germany) to calculate both total microvessel number (MVN) and total microvessel area (MVA), each normalized to total slide specimen area (μm2). We calculated Pearson correlations to establish relationships between a) rCBV and MVN; and b) rCBV and MVA. We also performed t-test to compare MVN, MVA, and rCBV values between tumor and PTRE samples. A neuroradiologist performed all coregistration and pMRI calculations, and a neuropathologist analyzed all tissue specimens, without knowledge of corresponding data. A biostatistician performed all statistical comparisons. Results: In this preliminary study, we included 16 tissue specimens (from 8 subjects), each diagnosed as either tumor (n=7) or PTRE (n=9). We successfully calculated localized rCBV and determined both MVA and MVN for each specimen. The rCBV values showed highest correlation with total vessel area (MVA) (r=0.65, p=0.007) and slightly less correlation with vessel number (MVN) (r=0.52, p=0.04). Tumor showed significantly higher values than PTRE for all parameters: rCBV (1.87 + 0.82 versus 0.78 + 0.2, p=.002); MVA (0.22 + 0.03 versus 0.04 + 0.007, p=0.0001); and MVN (0.0068 + 0.001 versus. 0.0016 + 0.0006, p=0.0004). Conclusion: These preliminary results show the promise of Perfusion MRI to non-invasively estimate tissue microvessel density and distinguish tumor recurrence from treatment effects. The current study is ongoing to confirm results in a larger patient population. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 3748.