Angioarchitecture plays an important role in the malignant development of intracranial hemangiopericytoma. It remains poorly understood whether high frequency of hemorrhage during clinical surgery for intracranial hem...Angioarchitecture plays an important role in the malignant development of intracranial hemangiopericytoma. It remains poorly understood whether high frequency of hemorrhage during clinical surgery for intracranial hemangiopericytoma is associated with angioarchitecture. The present study utilized hematoxylin-eosin staining, and immunohistochemical staining with epithelial membrane antigen, vimentin, CD34, von Willebrand factor (vWF) and CD133 to observe characteristics of angioarchitecture. In addition, silver stains were used to demonstrate changes in reticular fibers in the wall of vessel channels in intracranial hemangiopericytoma and meningioma. Five patterns of angioarchitecture were identified in intracranial hemangiopericytoma, namely tumor cell islands, vasculogenic mimicry, mosaic blood vessels, sprouting angiogenesis, and intussusceptive angiogenesis. Several CD133+ tumor cells were found to form tumor cell islands. A connection between vWF ^+ and vWF channels was detected in the pattern of intussusceptive angiogenesis, and some vimentin^+ tumor cells were embedded in the periodic acid-Schiff positive channel wall. Incomplete threads of reticular fibers formed the walls of larger pseudo-vascular channels and some tumor clumps or scattered tumor cells were detected "floating" in them. The angioarchitecture, specific markers and reticular fibers of intracranial hemangiopericytoma were significantly different from meningioma. Angioarchitecture provides a functional vascular network for vascular evolution in intracranial hemangiopericytoma and contributes to significant intra-operative bleeding.展开更多
Background:Vessels with different microcirculation patterns are required for glioblastoma(GBM)growth.However,details of the microcirculation patterns in GBM remain unclear.Here,we examined the microcirculation pattern...Background:Vessels with different microcirculation patterns are required for glioblastoma(GBM)growth.However,details of the microcirculation patterns in GBM remain unclear.Here,we examined the microcirculation patterns of GBM and analyzed their roles in patient prognosis together with two well-known GMB prognosis factors(O^(6)-methylguanine DNA methyltransferase[MGMT]promoter methylation status and isocitrate dehydrogenase[IDH]mutations).Methods:Eighty GBM clinical specimens were collected from patients diagnosed between January 2000 and December 2012.The microcirculation patterns,including endothelium-dependent vessels(EDVs),extracellular matrix-dependent vessels(ECMDVs),GBM cell-derived vessels(GDVs),and mosaic vessels(MVs),were evaluated by immunohistochemistry(IHC)and immunofluorescence(IF)staining in both GBM clinical specimens and xenograft tissues.Vascular density assessments and three-dimensional reconstruction were performed.MGMT promoter methylation status was determined by methylation-specific PCR,and IDH1/2 mutations were detected by Sanger sequencing.The relationship between the microcirculation patterns and patient prognosis was analyzed by Kaplan-Meier method.Results:All 4 microcirculation patterns were observed in both GBM clinical specimens and xenograft tissues.EDVs were detected in all tissue samples,while the other three patterns were observed in a small number of tissue samples(ECMDVs in 27.5%,GDVs in 43.8%,and MVs in 52.5%tissue samples).GDV-positive patients had a median survival of 9.56 months versus 13.60 months for GDV-negative patients(P=0.015).In MGMT promoter-methylated cohort,GDV-positive patients had a median survival of 6.76 months versus 14.23 months for GDV-negative patients(P=0.022).Conclusion:GDVs might be a negative predictor for the survival of GBM patients,even in those with MGMT promoter methylation.展开更多
基金the Science and Technology Projects in Liaoning Province, No. 2010225036
文摘Angioarchitecture plays an important role in the malignant development of intracranial hemangiopericytoma. It remains poorly understood whether high frequency of hemorrhage during clinical surgery for intracranial hemangiopericytoma is associated with angioarchitecture. The present study utilized hematoxylin-eosin staining, and immunohistochemical staining with epithelial membrane antigen, vimentin, CD34, von Willebrand factor (vWF) and CD133 to observe characteristics of angioarchitecture. In addition, silver stains were used to demonstrate changes in reticular fibers in the wall of vessel channels in intracranial hemangiopericytoma and meningioma. Five patterns of angioarchitecture were identified in intracranial hemangiopericytoma, namely tumor cell islands, vasculogenic mimicry, mosaic blood vessels, sprouting angiogenesis, and intussusceptive angiogenesis. Several CD133+ tumor cells were found to form tumor cell islands. A connection between vWF ^+ and vWF channels was detected in the pattern of intussusceptive angiogenesis, and some vimentin^+ tumor cells were embedded in the periodic acid-Schiff positive channel wall. Incomplete threads of reticular fibers formed the walls of larger pseudo-vascular channels and some tumor clumps or scattered tumor cells were detected "floating" in them. The angioarchitecture, specific markers and reticular fibers of intracranial hemangiopericytoma were significantly different from meningioma. Angioarchitecture provides a functional vascular network for vascular evolution in intracranial hemangiopericytoma and contributes to significant intra-operative bleeding.
基金National Basic Research Program of China,Grant/Award Number:2015CB755505National Natural Science Foundation of China,Grant/Award Numbers:30973478,81372685,81572479,81672484+4 种基金Guangzhou Science Technology Project,Grant/Award Numbers:201508020125,201803010056Science and Technology Planning Project of Guangdong Province,Grant/Award Number:2016A020213004Natural Science Foundation of Guangdong Province,Grant/Award Number:S2013040012894Shenzhen Innovation Project of Scientific and Technology,Grant/Award Number:JCYJ20140416094330210We sincerely appreciate the generous help from the core facility in the Department of Experimental Research,Sun Yat-sen University Cancer Center.
文摘Background:Vessels with different microcirculation patterns are required for glioblastoma(GBM)growth.However,details of the microcirculation patterns in GBM remain unclear.Here,we examined the microcirculation patterns of GBM and analyzed their roles in patient prognosis together with two well-known GMB prognosis factors(O^(6)-methylguanine DNA methyltransferase[MGMT]promoter methylation status and isocitrate dehydrogenase[IDH]mutations).Methods:Eighty GBM clinical specimens were collected from patients diagnosed between January 2000 and December 2012.The microcirculation patterns,including endothelium-dependent vessels(EDVs),extracellular matrix-dependent vessels(ECMDVs),GBM cell-derived vessels(GDVs),and mosaic vessels(MVs),were evaluated by immunohistochemistry(IHC)and immunofluorescence(IF)staining in both GBM clinical specimens and xenograft tissues.Vascular density assessments and three-dimensional reconstruction were performed.MGMT promoter methylation status was determined by methylation-specific PCR,and IDH1/2 mutations were detected by Sanger sequencing.The relationship between the microcirculation patterns and patient prognosis was analyzed by Kaplan-Meier method.Results:All 4 microcirculation patterns were observed in both GBM clinical specimens and xenograft tissues.EDVs were detected in all tissue samples,while the other three patterns were observed in a small number of tissue samples(ECMDVs in 27.5%,GDVs in 43.8%,and MVs in 52.5%tissue samples).GDV-positive patients had a median survival of 9.56 months versus 13.60 months for GDV-negative patients(P=0.015).In MGMT promoter-methylated cohort,GDV-positive patients had a median survival of 6.76 months versus 14.23 months for GDV-negative patients(P=0.022).Conclusion:GDVs might be a negative predictor for the survival of GBM patients,even in those with MGMT promoter methylation.