David C Soler1,2,3, Amber Kerstetter-Fogle1,2,3, Theresa Elder1,2,3, Alankrita Raghavan1,2,3, Jill S Barnholtz-Sloan1,2,3, Kevin D Cooper4,5, Thomas S McCormick4,5, Andrew E Sloan1,2,3. 1. Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, Ohio. 2. Brain Tumor and Neuro-Oncology Center, Case Western Reserve University School of Medicine, Cleveland, Ohio. 3. University Hospitals-Cleveland Medical Center and the Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, Ohio. 4. Department of Dermatology, University Hospitals-Cleveland Medical Center and the Case Western University School of Medicine, Cleveland, Ohio. 5. The Murdough Family Center for Psoriasis, University Hospitals-Cleveland Medical Center and the Case Western University School of Medicine, Cleveland, Ohio.
Abstract
BACKGROUND: Brain metastases (BM) are the most common type of brain tumor malignancy in the US. They are also the most common indication for stereotactic radiosurgery (SRS). However, the incidence of both local recurrence and radiation necrosis (RN) is increasing as treatments improve. MRI imagery often fails to differentiate BM from RN; thus, patients must often undergo surgical biopsy or resection to obtain a definitive diagnosis. OBJECTIVE: To hypothesize that a marker of immunosuppression might serve as a surrogate marker to differentiate patients with active vs inactive cancer-including RN. METHODS: We thus purified and quantified Monocytic Myeloid-Derived Suppressor Cells (Mo-MDSC) by flow cytometry in patients proven by biopsy to represent BM or RN. RESULTS: We report the utility of the previously reported HLA-Dr-Vnn2 Index or DVI to discriminate recurrent BM from RN using peripheral blood. The presence of CD14+ HLA-DRneg/low Mo-MDSC is significantly increased in the peripheral blood of patients with brain metastasis recurrence compared to RN (Average 61.5% vs 7%, n = 10 and n = 12, respectively, P < .0001). In contrast, expression of VNN2 on circulating CD14+ monocytes is decreased in BM patients compared to patients with RN (5.5% vs 26.5%, n = 10 and n = 12, respectively, P = .0008). In patients with biopsy confirmed recurrence of brain metastasis, the average DVI was 11.65, whereas the average DVI for RN patients was consistently <1 (Avg. of 0.17). CONCLUSION: These results suggest that DVI could be a useful diagnostic tool to differentiate recurrent BM from RN using a minimally invasive blood sample.
BACKGROUND: Brain metastases (BM) are the most common type of brain tumor malignancy in the US. They are also the most common indication for stereotactic radiosurgery (SRS). However, the incidence of both local recurrence and radiation necrosis (RN) is increasing as treatments improve. MRI imagery often fails to differentiate BM from RN; thus, patients must often undergo surgical biopsy or resection to obtain a definitive diagnosis. OBJECTIVE: To hypothesize that a marker of immunosuppression might serve as a surrogate marker to differentiate patients with active vs inactive cancer-including RN. METHODS: We thus purified and quantified Monocytic Myeloid-Derived Suppressor Cells (Mo-MDSC) by flow cytometry in patients proven by biopsy to represent BM or RN. RESULTS: We report the utility of the previously reported HLA-Dr-Vnn2 Index or DVI to discriminate recurrent BM from RN using peripheral blood. The presence of CD14+ HLA-DRneg/low Mo-MDSC is significantly increased in the peripheral blood of patients with brain metastasis recurrence compared to RN (Average 61.5% vs 7%, n = 10 and n = 12, respectively, P < .0001). In contrast, expression of VNN2 on circulating CD14+ monocytes is decreased in BM patients compared to patients with RN (5.5% vs 26.5%, n = 10 and n = 12, respectively, P = .0008). In patients with biopsy confirmed recurrence of brain metastasis, the average DVI was 11.65, whereas the average DVI for RN patients was consistently <1 (Avg. of 0.17). CONCLUSION: These results suggest that DVI could be a useful diagnostic tool to differentiate recurrent BM from RN using a minimally invasive blood sample.
Authors: Shigehisa Kitano; Michael A Postow; Carly G K Ziegler; Deborah Kuk; Katherine S Panageas; Czrina Cortez; Teresa Rasalan; Mathew Adamow; Jianda Yuan; Philip Wong; Gregoire Altan-Bonnet; Jedd D Wolchok; Alexander M Lesokhin Journal: Cancer Immunol Res Date: 2014-05-20 Impact factor: 11.151
Authors: David C Soler; Hideaki Sugiyama; Andrew B Young; Jessica V Massari; Thomas S McCormick; Kevin D Cooper Journal: Clin Immunol Date: 2013-07-06 Impact factor: 3.969
Authors: Adrienne Boire; Dieta Brandsma; Priscilla K Brastianos; Emilie Le Rhun; Manmeet Ahluwalia; Larry Junck; Michael Glantz; Morris D Groves; Eudocia Q Lee; Nancy Lin; Jeffrey Raizer; Roberta Rudà; Michael Weller; Martin J Van den Bent; Michael A Vogelbaum; Susan Chang; Patrick Y Wen; Riccardo Soffietti Journal: Neuro Oncol Date: 2019-05-06 Impact factor: 12.300