Predicting Schwannoma Growth in a Tumor Model Using Targeted Imaging.

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Vestibular schwannoma (VS) is a common pathology encountered in neurotology clinics. Many patients are observed with a “wait and scan” approach. Previous efforts to determine radiographic indicators of future growth have been unsuccessful. Using a mouse subcutaneous tumor model, we seek to determine if fluorescent imaging with directed immunotargets could be used to predict schwannoma growth rate.Anti-VEGFR2 and anti-Her2/Neu monoclonal antibodies were covalently linked to a near-infrared probe (IRDye800). Immunodeficient mice underwent subcutaneous injections with a rat-derived schwann (R3) cell line. When tumor growth was evident, either Anti-VEGFR2-IRDye800, anti-Her2/Neu-IRDye800, or Immunoglobulin G (IgG) Isotype-IRDye800 (control) were injected via tail vein. The mice were serially imaged in a closed field near-IR device. Fluorescent data were analyzed for tumor signal and correlated with tumor sie and growth rate. Heterogeneity of fluorescent tumor signal was also assessed.In both anti-VEGFR2 and anti-Her2/Neu groups, there were strong correlations between day 1 mean tumor fluorescence and eventual maximum tumor volume (p = 0.002, 0.001; r2 = 0.92, 0.86). There was also strong correlation with maximum tumor signal on day 1 and maximum tumor volume (p = 0.003, 0.008; r2 = 0.90, 0.91). There was no such correlation in the control group (p = 0.99, 0.75; r2 = 0.0002, 0.028).Given the potential morbidity in VS intervention, observation is an appropriate approach for patients with slow-growing or stagnant tumors. We seek to identify immunotargets in a murine model that show promise in predicting schwannoma growth with advanced imaging techniques. Both Her2/Neu and VEGFR2 correlated strongly wth tumor size and growth rates and are promising targets that merit further investigation.

View the full article @ Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
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Authors: Daniel R Morrison, Anna G Sorace, Ellis Hamilton, Lindsay S Moore, Hailey A Houson, Neha Udayakumar, Alyssa Ovaitt, Jason M Warram, Erika M Walsh